Careers at Linkedin3

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences. We're hiring a Senior data scientist to own ambiguous, high-impact problems end-to-end. You’ll use your strong statistical intuition and well-honed data science tool kit to answer open-ended problems like defining long-term retention or marketplace value. You’ll define the metrics that guide product strategy, dive deep into marketplaces and evaluate AI-native features as they ship. You'll work closely with engineers and PMs to translate findings into roadmap decisions. Responsibilities Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems. Evaluates A/B and causal tooling for discernable gaps and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to help optimize new and/or existing features or models. Leverage AI tools in day-to-day workflows to increase productivity Partners with internal customers to translate business problems into data-verifiable hypotheses. Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and create actionable insights within moderately complex product domains. Independently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems. Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights. Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members. Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy. Develops and runs predictive models for estimating the impact of initiatives on identified KPIs. Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making. Basic Qualifications Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. 3+ years of relevant industry or relevant academia experience working with large amounts of data Experience influencing strategy through data-centric presentations. Experience in SQL. Background in at least one programming language (e.g., R, Python, Scala). Experience in applied statistics and statistical modeling in at least one statistical software package. Experience telling stories with data and visualization tools. Experience running platform experiments and techniques like A/B testing. Preferred Qualifications Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field. Experience with SQL & Python, experimentation (design, analysis, variance reduction), Experience with causal inference methods; Product intuition for two-sided marketplaces Clear written communication Ability to understand how to measure AI-powered product experiences. Suggested Skills Communication Decision Making Data Science Domain Knowledge and Skills Strategic Thinking You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $205,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This location is hybrid in our Sunnyvale office location. About the team LinkedIn's members entrust us with their information every day and we take their security seriously. Our core value of putting our members first powers all the decisions we make, including how we manage and protect the data of our members and customers. Information Security at LinkedIn is dedicated to protecting and securing business-critical member data and company assets. Our core mission is to empower LinkedIn to create a secure and thriving platform for every member of the global workforce. The Product Security team strives to proactively safeguard our products, applications, and infrastructure by identifying, assessing, and mitigating security and privacy risks. We are dedicated to protecting our members by researching evolving threats and attack vectors, identifying vulnerabilities, and providing security consultation to minimize potential risks. We invest significantly in automation and focus on high impact engineering projects that detect security risks. About the role: As a Staff Security Engineer on the Platform & Product Security team, you will strengthen the security posture of LinkedIn's AI applications, infrastructure, and development workflows — researching emerging threats, leading threat models, designing and implementing secure-by-default frameworks, and building scalable tooling to detect and mitigate vulnerabilities across the company. Responsibilities: Lead and execute adoption of security controls across AI/ML infrastructure, including model scanning, model signing and provenance, and ML pipeline security (MLOps/MLSecOps) Architect and build security guardrails and paved roads for agentic workflows: hardening agent SDKs, tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions Build automation and red-team/detection tooling that continuously identifies, reproduces, and mitigates AI-specific vulnerabilities at scale; partner with Detection & Response on prompt/tool-call telemetry and AI-incident playbooks. Lead threat modeling and adversarial red-teaming of AI systems, and maintain a LinkedIn AI threat taxonomy mapped to industry standards. Partner with security and platform teams to embed the resulting threat models and risk assessments into AI platforms, developer tooling, and production services. Define AI security standards, reference architectures, and policies across model development, data ingestion, training, inference, and agentic systems; drive secure adoption of AI tooling (vendors, copilots, integrations), including data-sharing and sensitive-data-in-prompt boundaries. Drive cross-functional architecture and engineering decisions across platform engineering, security engineering, ML/AI teams, and product/DevEx to build developer platforms, AI systems, and infrastructure that are scalable, reliable, and secure by design. Basic Qualifications BA/BS Degree in Computer Science, Cybersecurity, Information Security, or related technical field, or equivalent technical experience. Hands-on experience or working knowledge of AI/ML or LLM-application security risks (e.g., prompt injection, data poisoning, model/provenance integrity). 5+ years experience in security engineering and in-depth knowledge of application security, authentication and security protocols, cryptography, or supply chain security. 5+ Experience in various security assessment methodologies such as threat modeling, design reviews, penetration testing and vulnerability assessment. Experience with programming languages such as Java, GoLang or Python. Experience architecting or implementing tooling that detects and mitigates security vulnerabilities. Preferred Qualifications BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. 5+ years experience with programming languages such as Java, GoLang or Python. Experience securing agentic systems: sandboxing, tool permissioning, and runtime policy enforcement. Working knowledge of modern AI/ML stack: LLMs and foundation models, RAG architectures, agentic frameworks (e.g. LangChain/LangGraph, CrewAI, AutoGen), and ML pipelines (training, evaluation, inference). Demonstrated ability to ramp up quickly on AI-specific threats. Ability to work across teams and communicate concisely and clearly to stakeholders. Experience with security research, bug bounty or CTF competitions. Suggested Skills: AI Security Security Assessment Methodologies Security Architecture Technical Leadership You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Data Infrastructure organization builds and operates the foundational platforms that store, process, and serve data across LinkedIn. The organization spans online relational databases, document stores, and key-value serving systems, as well as offline analytical, streaming, batch processing, and orchestration platforms. These systems power LinkedIn’s products and support the growing demands of AI applications at global scale. We are looking for a Principal Staff Software Engineer with deep expertise in database internals, relational database performance, and large-scale distributed systems. This role will lead database performance and efficiency optimization, with an initial emphasis on relational systems and an opportunity to extend that work across online and offline data platforms. You will work on query planning and execution, indexing, storage efficiency, and application access patterns to improve performance and make better use of LinkedIn’s infrastructure. The ideal candidate brings a deep understanding of online transactional databases and can apply that expertise to offline analytical systems and the convergence of these architectures, including query federation and hybrid transactional and analytical processing (HTAP). This is a highly technical leadership role for a hands-on builder who can set direction and drive implementation across multiple teams. You will partner closely with database, data platform, and application engineers, engage directly with code and design decisions, and turn optimization opportunities into production improvements with company-level impact. Responsibilities Set technical direction for database performance and efficiency optimization across LinkedIn’s online and offline data infrastructure. Lead improvements to database and offline systems, including query planning and execution, indexing, storage, and application access patterns. Diagnose performance bottlenecks across application, database, and storage layers, and drive improvements in latency, throughput, resource utilization, and infrastructure cost. Extend optimization approaches across offline analytical, nearline, streaming, and batch systems, identifying opportunities to improve query execution and storage efficiency. Shape architectures that connect online transactional and offline analytical systems, including query federation and converged data platforms. Remain hands-on through code and design reviews, performance investigations, and proofs of concept that validate technical approaches. Make architectural tradeoffs across performance, consistency, availability, reliability, scalability, and cost. Partner with platform and application teams to translate workload requirements into efficient data access and execution patterns, including emerging AI workloads. Lead initiatives across teams from problem identification and design through implementation, production rollout, and adoption. Mentor senior engineers and strengthen engineering practices for database design, performance analysis, and optimization. Basic Qualifications BA/BS degree in Computer Science or a related technical field, or equivalent practical experience. 10+ years of industry experience in software engineering, database systems, distributed systems, or related infrastructure areas. 5+ years of experience in an architect, technical lead, or senior technical leadership capacity, driving architecture and technical direction across complex systems or multiple engineering teams. Experience designing, building, or optimizing production database systems, including relational databases, query execution, indexing, or storage components. Experience diagnosing and improving database or distributed system performance through changes to query execution, storage, or application access patterns. Hands-on programming experience and experience leading technically complex initiatives across team or organizational boundaries. Preferred Qualifications Master’s or PhD in Computer Science or a related technical field, with experience operating at Principal Staff or equivalent scope. Deep expertise in database internals, including query optimizers, execution engines, indexing, storage engines, and consistency and availability tradeoffs. Experience spanning online transactional databases and offline analytical systems, including query federation, HTAP, or relational interfaces over data lake storage. A track record of delivering measurable improvements in performance, hardware utilization, or infrastructure cost across large production data platforms. Experience building or optimizing relational and distributed database platforms such as MySQL, PostgreSQL, TiDB, or comparable systems. Experience with the internals or performance optimization of analytical, streaming, or batch processing platforms such as Spark, Flink, or comparable systems. Understanding of the performance and storage implications of AI-oriented workloads, including vector embeddings, text search, and inference-related operations. Demonstrated ability to set technical strategy, align senior engineers and leaders, and drive implementation and adoption across multiple teams while remaining hands-on. Suggested Skills Database Systems Database Performance Optimization Distributed Systems Technical Strategy LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $231,000 to $378,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits . Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

As a Salesforce Software Engineer, you’ll play a key role in designing, building, and maintaining scalable, secure, and high‑quality solutions on the Salesforce platform. You will work across frontend and backend development using Salesforce technologies, collaborate with cross‑functional partners, translate business needs into technical designs, and contribute to modern, AI‑powered customer experiences. Strong expertise in Salesforce fundamentals, LWC, Agentforce, Salesforce Data Cloud, and Generative‑AI–driven solutions is essential for success in this role. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities Design, develop, test, and deploy Salesforce applications using Apex, Lightning Web Components (LWC), and declarative tools. Build responsive, accessible user interfaces aligned with Salesforce Lightning Design System (SLDS). Develop backend logic, integrations, and APIs using Apex, REST/SOAP services, and platform events. Collaborate with Product Managers, SFDC Architects to translate business requirements into technical solutions Ensure solutions adhere to Salesforce best practices for security, performance, and scalability Write unit tests and participate in code reviews to maintain code quality Support CI/CD pipelines and participate in release management Troubleshoot production issues and contribute to ongoing system improvements Participate in Agile/Scrum development processes Basic Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 4 + Years of Software Development Experience Experience developing software on the Salesforce platform Experience with Apex, SOQL/SOSL, and Lightning Web Components (LWC) Experience with JavaScript, HTML, and CSS Understanding of Salesforce security model (profiles, permission sets, sharing rules) Experience with version control systems (Git) and CI/CD tools Understanding of software engineering fundamentals (data structures, APIs, testing) Experience in Salesforce Data Cloud, Agentforce Experience in Cursor / Agentforce Vibe Coding Preferred Qualifications Salesforce certifications (e.g., Platform Developer I / II, Sales Cloud, Service Cloud, Agentforce Specialist) 5+ Years of Software Development experience Exposure to Salesforce Data Cloud, Agentforce, or AI-driven features Experience with integration platforms (Boomi, ETL tools) Familiarity with Agile development methodologies Suggested Skills Lightning Web Components Apex Salesforce security model Salesforce Sales Cloud Salesforce Data Cloud Agentforce India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

As a Senior Salesforce Engineer, you will lead the design, development, and scaling of secure, high‑quality solutions across the Salesforce platform. You’ll translate complex business requirements into robust technical designs, prepare and review RFCs, and deliver end‑to‑end solutions using Apex, LWC, Agentforce, Salesforce Data Cloud, and AI‑driven capabilities. The role includes managing and optimizing the SFDC org, driving best practices, and collaborating closely with cross‑functional partners to build modern, intelligent customer and enterprise experiences. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities Work closely with business stakeholders to understand the requirements, translate them into technical solutions. Design, develop, test, and deploy Salesforce applications using Apex, Lightning Web Components (LWC), and declarative tools. Build responsive, accessible user interfaces aligned with Salesforce Lightning Design System (SLDS). Develop backend logic, integrations, and APIs using Apex, REST/SOAP services, and platform events. Design and develop AI based solutions and agents using Einstein AI, Agentforce and any Gen-AI tools. Best Practices: Adhere to Salesforce best practices, maintain code documentation, and write / maintain test classes for all custom development, Take ownership of release cycles to implement and deploy new/updates to existing applications and code, Integrating and maintaining business applications to Salesforce, such as DocuSign, Apttus, CPQ, Conga, etc, Collaborating with IT / Developers for other systems in order to integrate across the business, Develop Proactive monitoring using Event Monitoring and features. Test and Deploy solutions using CI/CD pipelines. Implement and troubleshoot Salesforce CPQ and Apttus solutions. Basic Qualifications Experience with Salesforce platform, Salescloud, and at least 6+ years of Salesforce development experience, Experience in developing LWC, Aura Components, Apex Triggers, Classes, VF Pages. Experience in SFDC Configurations Experience with integration solutions such as Dell Boomi, HDFS or other 3rd Party systems Experience in Salesforce CPQ and/or Apttus Experience with VSCode, Salesforce Lightning Design System Experience in working on Cursor / Agentforce Vibe Coding Experience with, various IT application development methodologies (e.g., Agile, Waterfall and blended models), and software engineering concepts Experience in implementing async apex. Experience with Data Migration Experience on implementing Salesforce Mobile pages/apps Experience in Enstein AI features like Prediction Builder, Next Best Actions, GenAi Experience in configuring event monitoring reports and dashboards. Eager to learn new tech stacks and contribute in a fast pacing environment. Experience as an IC and mentoring team members. Experience of collaborating with business stakeholders and team members. Preferred Qualifications Salesforce certifications (e.g., Platform Developer I / II, Sales Cloud, Service Cloud, Agentforce Specialist) 7+ Years of software development experience Exposure to Salesforce Data Cloud, Agentforce, or AI-driven features Experience with integration platforms (Boomi, ETL tools) Familiarity with Agile development methodologies Suggested Skills Lightning Web Components Apex Salesforce security model Salesforce Sales Cloud Salesforce Data Cloud Agentforce India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

This internship role will be based in Mountain View, California. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. First Play is LinkedIn’s software engineering internship designed for students earlier in their computer science journey to build strong engineering foundations through real-world experience. Interns contribute to meaningful, scoped engineering projects, tackle real technical challenges, and gain firsthand experience building software at LinkedIn. As software development continues to evolve, First Play gives interns the opportunity to grow as engineers in an AI-native engineering environment. Interns will gain hands-on experience with modern engineering practices, use AI-powered development tools, and explore how AI and emerging technologies are shaping the way software is built. Through mentorship, collaboration, and ongoing feedback, interns will strengthen their technical skills, learn from engineers across LinkedIn, and build the foundation to take on increasingly complex engineering challenges. Candidates must be currently enrolled in an undergraduate degree program, with an expected graduation date of December 2028 or later. The First Play internship is a 12-week program with two available sessions: May 24, 2027 – August 13, 2027 June 14, 2027 – September 3, 2027 Responsibilities Contribute to meaningful, scoped software engineering projects and apply programming and problem-solving skills to real-world technical challenges. Write, test, debug, and iterate on code while developing familiarity with engineering practices such as version control, code reviews, and continuous integration. Use AI-powered development tools and emerging technologies as part of the software development process while continuing to build strong engineering fundamentals. Work with engineers to solve technical problems, incorporate feedback, and strengthen software engineering skills. Participate in First Play cohort experiences and LinkedIn’s broader intern programming to build connections, develop skills, and engage with the LinkedIn community. Basic Qualifications Pursuing a B.A. or B.S. degree in Computer Science or a related technical field. Programming experience in Python, Java, C, C++, C#, Rust, or a similar object-oriented programming language. Preferred Qualifications Understanding of foundational data structures, algorithms, and object-oriented programming concepts. Experience applying programming concepts through coursework, class projects, hackathons, personal coding projects, or other technical work. Experience building, testing, debugging, or iterating on code through coursework, projects, hackathons, or other technical work. Experience breaking down technical problems and developing solutions through coursework, projects, or other technical experiences. Suggested Skills Programming Foundations Data Structures and Algorithms Technical Problem-Solving As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $45 to $55. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits . Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

This role can be based in Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. You will participate in design and code reviews to maintain our high development Standards. You will partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in Object-oriented languages such as Java, C++, Python, Go, C#, Rust and/or Functional languages such as Scala Preferred Qualifications 2+ years of relevant work experience - MS or PhD in Computer Science or related technical discipline Experience designing building and triaging complex, large scale distributed systems Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice Suggested Skills Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $120,000 - $195,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code; Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well. Responsibilities You will build and ship software at scale that delivers impact. You will improve all aspects of developer experience with a data driven mindset. You will design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24x7 services and products. You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness, productivity, and efficiency. You will scale the infrastructure and tools required to keep our 6000+ developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs. Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 2+ years experience in software design, development, and algorithm related solutions. 2+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C. Preferred Qualifications BS and 5+ years of relevant work experience, MS and 5+ years of relevant work experience, or PhD and 2+ years of relevant work experience Experience designing and building infrastructure and web services at large scale. Knowledge of Internet protocols and network programming. Experience working in a Unix environment (Linux preferred). Experience in large-scale distributed systems and client-server architectures. Experience in driving automated cloud management systems at scale. Experience in containerization, cluster schedulers, infrastructure configuration and orchestration. Experience in standard build tools (e.g. gradle, bazel) and version control systems (e.g. git). Experience in Python development using frameworks like Django, Flask, Jinja, SQLAlchemy. Knowledge and experience in Tomcat, Jetty, Netty, Apache/ATS, Scala/sbt, or Node.js. Experience in working with SQL/NoSQL databases (e.g. MySQL, Dynamo, Cassandra, MongoDB) Experience in messaging & big data systems/solutions (e.g. Spark, Presto, Alation, Hadoop, Kafka) Suggested Skills Object-oriented programming Web services Infrastructure You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: service delivery platform, scalable data storage infrastructure, graph infrastructure, analytics platform, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, media infrastructure, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. The Metrics Platform team's mission is to provide a highly available and scalable metrics platform that powers the world-class observability solutions needed to support LinkedIn's needs and growth. We build and operate the foundational telemetry systems that every service, engineer, and AI-first product at LinkedIn relies on to understand the health and performance of their systems in near real time. The platform is a dial-tone-grade, geo-redundant Ring-0 dependency . When it is degraded, the company is effectively flying blind, and critical alerts may not fire. Our customers are, quite literally, every engineering team at LinkedIn. As a Senior Staff Engineer on the Metrics Platform team, you will set the technical direction for systems operating at company scale: Ingest billions of metric events per minute from millions of containers and service instances across LinkedIn's global fleet, enabling rapid ingestion and querying of metric data. Store and serve highly multidimensional time-series data with approximately 12 months of retention, preserving historically accurate views while maintaining interactive query latencies. Guarantee dial-tone-grade, geo-redundant availability to ensure critical alerts fire on time for every LinkedIn product and infrastructure team. Drive cost efficiency and multi-tenancy at scale through write-time aggregations and quota management to protect against metric fan-out. Shape LinkedIn's observability for the AI-first future as we enable more agentic flows throughout LinkedIn's engineering systems. You will lead the strategy, design, implementation, and operation of the Metrics Platform, with direct technical influence across the Observability Engineering organization and partner teams. You will serve as a go-to technical expert for LinkedIn's metrics systems. What You'll Do Own the technical strategy and multi-year roadmap for major components of the Metrics Platform, developing forward-looking solutions to large, open-ended problems that extend beyond the immediate team. Design, implement, and optimize large-scale distributed systems across the metrics pipeline, including high-throughput ingestion, multidimensional time-series storage, write-time aggregation, and low-latency querying, with reliability, security, privacy (no PII/EUII in metrics), and cost efficiency built in. Solve the most challenging problems in the domain , including metric cardinality and fan-out management, accurate pre-aggregated percentiles, geo-redundant high availability for a Tier-0 service, query performance over large datasets, and efficient long-term retention. Improve observability, self-service, and developer productivity for platform customers by enabling querying, dashboarding, and alerting experiences that reduce time to detection and resolution. Set the technical bar by establishing engineering best practices, design patterns, and quality standards; leading design reviews; and mentoring Staff and senior engineers to strengthen the technical culture of a fast-moving team (Leadership / Execution / Craft). Partner and communicate effectively across the Observability Engineering organization and partner teams, translating business and reliability requirements into robust architectures and clear execution plans spanning multiple quarters and years. Basic Qualifications BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience. 5+ years of industry experience in software design, development, and algorithm-related solutions. 5+ years of programming experience in object-oriented languages such as Java, C++, Python, Go, C#, and/or functional languages such as Scala. Hands-on experience building and operating distributed systems, large-scale systems, databases, and/or backend APIs. Preferred Qualifications BS and 10+ years, MS and 9+ years, or PhD and 6+ years of relevant work experience. Experience in one or more of the following areas: time-series/metrics systems, observability/telemetry platforms, high-throughput streaming pipelines, or OLAP/analytics storage and query engines. Experience with technologies such as Kafka, OpenTelemetry, Grafana, Avro, Kubernetes, gRPC, and large-scale time-series/metrics storage and query engines. Experience operating dial-tone-grade, geo-redundant services under strict reliability, latency, and cost constraints. Experience managing high-cardinality, multidimensional data, pre-aggregation, retention tiering, and query optimization at scale. Demonstrated ability to drive cross-team and cross-organizational technical initiatives and influence the direction of foundational systems. Experience mentoring Staff and senior engineers and establishing a strong technical culture. Experience applying AI/ML to operational problems, such as anomaly detection, forecasting, and automated root-cause analysis, is a plus. Suggested Skills: Distributed Systems Technical Leadership Infrastructure as a Service (IaaS) Systems Infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

As a Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. This leader will foster LinkedIn's culture and values around transformation, collaboration and results. We are looking for engineers with deep expertise not just in building scalable APIs and services, but also in designing and managing high-throughput, data-intensive systems. EP Foundations (Enterprise Platform Foundations) is the core platform powering every paid product at LinkedIn. As part of the broader Enterprise Platform (EP) organisation, the team provides foundational capabilities used across LinkedIn's enterprise businesses and products. The Enterprise Platform organisation delivers common services across three key areas: User & License Management through Admin Center and Account Center (EP Foundations) Digital Goods Management Enterprise Identity & Access Management EP Foundations owns the lifecycle of enterprise entities, including accounts, licenses, profiles, roles, seats, groups, and application instances. Every enterprise product at LinkedIn relies on these capabilities. The team is both a platform and product engineering organisation, responsible for the backend systems that power Admin Center while managing some of LinkedIn's most critical enterprise data stores and services. From a technical scale perspective, the team operates: Over 200 APIs that support enterprise products and workflows across 50+ code repositories and one Ring 1 service. More than 150 data tables storing 90+ TB of critical enterprise data across Espresso, MySQL, Pinot, Couchbase. Systems that handle 500K+ peak requests per second. Hosted search infrastructure powering enterprise search experiences. More than 160 nearline and offline processing jobs that support not only Enterprise Platform teams but also multiple product organisations across LinkedIn. Preferred experience includes Proven experience in building and maintaining large-scale distributed systems involving high-volume data processing. Strong hands-on knowledge of relational and NoSQL databases, with a focus on data modeling, performance tuning, and operational reliability. Experience with real-time data streaming frameworks (e.g., Kafka, Apache Flink, Apache Beam etc.) and event-driven architectures. Deep understanding of system bottlenecks, data consistency trade-offs, and techniques for ensuring data integrity at scale. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. Identify, leverage, and successfully evangelize opportunities and collaborate with cross functional teams to design and build scalable platforms/products/services/tools and to improve engineering productivity in the organization. Work with peers across teams to support and leverage a shared technical stack. Basic Qualifications BS Degree in Computer Science or related technical discipline or related practical experience. 11+ years experience in software design, development, and algorithm related solutions. 11+ years experience programming experience in Java and/or or any Object oriented language Preferred Qualifications BS 10+ years of relevant work experience, MS 9+ years of relevant work experience, or PhD 7+ years of relevant work experience. Experience in designing and building infrastructure and web services at large scale & strong object oriented skills. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Experience with object oriented design, coding, testing patterns, and programming languages (Java, C++ etc.). Suggested Skills Technical Leadership Distributed Systems Software Design You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.