Careers at Linkedin3

This role will be based in Bangalore, India. 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, 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 Deliver impact by driving innovation while building and shipping software at scale Provide architectural guidance and mentorship to up-level the engineering organization Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies Design products/services/tools and code that can be used by others while upholding operational impact of all decisions Identify problems and opportunities and lead teams to architect, design, implement and operationalize systems Work closely with and influence product and/or technology partners regularly to help define roadmap Resolve conflicts between teams within the organization to get alignment and build team culture Review others' work and share knowledge Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 14+ years of industry experience in software design, development, and algorithm related solutions. 14+ years of experience programming in object-oriented languages such as Java, C++, Python, Go, C# and/or Functional languages such as Scala or other relevant coding languages Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs 14+ years experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position 5+ years of experience in an architect or technical leadership position Preferred Qualifications 5+ years experience with large-scale distributed systems and client-server architectures Experience leading a large organization Experience leading by influence, formulating and driving technical strategies across various organizations Suggested Skills Distributed systems Backend Systems Infrastructure Java 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.

This role will be based in Mountain View or Bellevue. 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. The Data Lake Infrastructure team builds and operates the foundational storage and table-management technologies powering LinkedIn's data platform at massive scale. We own OpenHouse, LinkedIn's open-source control plane for Apache Iceberg tables, along with the broader data lake stack (storage engines, table formats, metadata/catalog services, and compaction/retention systems) that serves thousands of internal teams, petabyte-scale datasets, and mission-critical analytics, ML, and AI workloads. We collaborate closely with open-source communities (Apache Iceberg, Trino, Spark) and partner teams across Data Infrastructure, Analytics, and AI Platform to ensure reliable, cost-efficient, and governable data access company-wide. We are seeking a Principal Technical Lead to drive the technical vision and execution for OpenHouse and LinkedIn's data lake technologies. You will set architectural direction, lead complex cross-team initiatives, and mentor engineers building the next generation of table-management and lakehouse infrastructure. This role combines deep hands-on engineering with technical leadership — you'll design for scale, reliability, and openness while representing LinkedIn in the broader open-source data lake ecosystem. Come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Core Responsibilities: Own the technical roadmap and architecture for OpenHouse and core data lake services (catalog, table format, compaction, retention, replication, governance). Lead design and implementation of large-scale, highly available distributed systems handling petabyte-scale Iceberg tables. Drive open-source contributions and engagement with Apache Iceberg and related ecosystem projects. Partner with Analytics, AI Platform, and Data Infra teams to align on requirements, integration points, and long-term platform strategy. Provide technical mentorship and code/design review leadership across the team; raise the engineering bar. Evaluate and adopt emerging lakehouse technologies, driving build-vs-adopt decisions. Ensure system reliability, performance, and cost efficiency through sound SLOs, monitoring, and capacity planning. Lead technical design reviews, write RFCs/design docs, and drive consensus across stakeholders. Guide incident response and root-cause analysis for critical data lake infrastructure issues. Guide incident response and root-cause analysis for critical data lake infrastructure issues. Basic Qualifications BS in Computer Science or equivalent. 10+ years of industry experience in software design, development, and algorithm related solutions. 10+ years of experience in technical leadership: architecture ownership, mentoring, cross-team influence. 8+ years of experience in table formats (Iceberg/Delta/Hudi), data lake/lakehouse architectures, and query engines (Spark, Trino, Presto). 8+ years building large-scale distributed data systems (storage, databases, data lakes, or data infrastructure) 10+ years of experience in systems programming (Java/Scala/Go) and understanding of distributed systems fundamentals (consistency, replication, metadata management. 8+ years of experience with Open-source contribution experience preferred, especially in Apache Iceberg or similar projects. Preferred Qualifications MS/PhD in Computer Science or related field. Experience in architecting, building, and running large-scale distributed systems. Experience with communication and ability to influence cross-functional teams. Background in industry thought leadership. Demonstrated ability to align technical decisions with business outcomes and drive customer-centric innovation. Production experience operating Iceberg (or similar table format) infrastructure at multi-petabyte, multi-tenant scale. Open-source contribution experience strongly preferred, especially in Apache Iceberg, Trino, Spark, or related lakehouse/OSS projects, or similar projects. Experience with catalog/metadata services, compaction, retention, and data governance. Background in storage cost optimization (tiering, compaction, format evolution). Track record leading cross-org technical initiatives as a technical lead or architect. Suggested Skills: Distributed Systems Data Infrastructure Data Lake, Apache Iceberg, Trino, Spark Deep understanding of concurrency, distributed algorithms, and data structures. Large scale technical leadership Additional Information: 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 $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.

This role will be based in Bangalore, India. 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. Team Blurb: Talent Productivity Engineering (TPE) at LinkedIn builds enterprise platforms, applications, and data solutions that power critical business functions, including Talent Acquisition, Human Resources, Finance, and Benefits. Our team designs and operates secure, scalable, and reliable data platforms that integrate enterprise systems, enable workforce analytics, and support data driven business decisions. We leverage modern cloud technologies, data engineering practices, and governance capabilities to deliver trusted, high-quality data products across LinkedIn. As a Senior Software Engineer, you will play a pivotal role in designing, developing, and modernizing enterprise Data Warehouse and Lakehouse platforms. You will work with Azure cloud technologies, distributed data processing frameworks, and enterprise integrations to deliver scalable, secure, and high-performing data solutions. You will make key architectural decisions, solve complex engineering challenges, collaborate with cross-functional teams, and drive engineering excellence through innovation, automation, and technical mentorship. Responsibilities Design, develop, and maintain scalable enterprise Data Warehouse and Lakehouse solutions using Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and SQL Server. Build and optimize batch and incremental data pipelines using Python, PySpark, SQL, and distributed data processing frameworks. Develop secure and reliable data integrations with enterprise applications using REST/SOAP APIs, SFTP, and database connectivity. Implement data modeling, data quality, metadata management, lineage, and governance capabilities to deliver trusted, analytics-ready datasets. Design and maintain highly available, secure, and performant data platforms with monitoring, automation, and disaster recovery capabilities. Drive engineering excellence through architectural decisions, CI/CD, automated testing, performance optimization, and technical mentorship. Basic Qualifications Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience. 5+ years of experience designing and developing enterprise data warehouses, data pipelines, or distributed data processing solutions. Hands-on programming experience with Python, PySpark, and SQL. Experience with cloud-based data platforms, ETL/ELT frameworks, and relational databases. Experience designing and developing backend services, APIs, or applications using modern software engineering principles. Understanding of data modeling, distributed systems, software architecture, data structures, algorithms, and production engineering practices. Preferred Qualifications Experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Delta Lake. Experience with Microsoft SQL Server, including T-SQL, performance tuning, and high-availability architectures. Experience integrating enterprise applications through REST/SOAP APIs, SFTP, and secure data connectivity. Experience developing Python-based services and APIs using frameworks such as FastAPI or Flask. Familiarity with modern application architectures, microservices, asynchronous processing, and event-driven systems. Familiarity with LLMs, embeddings, RAG architectures, vector search, and enterprise AI application development. Knowledge of data governance, metadata management, data lineage, and data quality frameworks. Experience with Azure security, CI/CD, automated testing, monitoring, and production support. Familiarity with Azure Analysis Services, Power BI, and real-time data processing technologies. Suggested Skills Data Engineering: Python, PySpark, SQL, Apache Spark Azure Data Platform: Databricks, Data Factory, ADLS Gen2, SQL Server Data Architecture: Data Warehousing, ETL/ELT, Data Modeling, Data Governance 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 part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within Linkedin. The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health-checking and experience platform(s). We are one of the very few companies globally with a custom-built platform to support billions of telemetry signals ingested/processed in realtime at millions of QPS. This role will be based in Bangalore, India. 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: Architect, build, run, and scale real-time streaming systems/real-time processing systems at massive scale. Own the technical direction of the observability platform end to end - the collection, processing/enriching telemetry events and evolve it so insight keeps pace with the growth of our systems. Scale distributed systems and make the hard architectural trade-offs - across processing models, data delivery guarantees, storage tiers, and the balance of cost, latency, and durability - while writing code and delivering with speed and quality. Serve as a role model and coach for engineers, with a strong bias for action, providing architectural guidance and mentorship to up-level the engineering organization. Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Produce high-quality infrastructure that is thoroughly tested, code reviewed & resilient. Partner with teams across the company to drive adoption of the platform(s), turning their instrumentation and diagnostic needs into measurable improvements in engineering productivity. Work closely with leadership and product/technology partners to define the roadmap and surface opportunities to improve observability. Navigate and resolve cross-team conflicts to align stakeholders and foster a cohesive, collaborative engineering culture. Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 12+ years of industry experience in software design and development, with problem-solving and system-design skills 12+ years of experience programming in object-oriented languages such as Java, C++, Python, Go, C and/or other Functional languages Experience building and operating large-scale streaming and real-time processing systems, including stateful processing and data delivery guarantees Hands on experience developing large-scale observability platforms with a deep understanding of distributed systems, microservice architecture, Pub-Sub systems, logging /metrics / tracing platforms 5+ years of experience in an architect or technical leadership position Preferred Qualifications: 8+ years building and optimizing large-scale distributed processing systems and client-server architectures. Experience with stream processing and messaging technologies such as Kafka, Flink, Samza, Beam, or Spark Streaming, including stateful stream processing, windowing, watermarks, and delivery semantics. Depth in observability systems across metrics, logs, traces, and events, including high-cardinality ingestion and low-latency query at scale. Experience building systems with AI and using AI-powered coding agents and assistants in everyday development to design, implement, test, and review software at a higher velocity and quality bar. Ability to work with multiple stakeholders, understand product priorities, think big-picture, and solve core problems efficiently. Excellent communication skills, with the ability to articulate complex technical concepts and drive technical strategy across teams and geographies. Maintainer or contributor of open source projects Suggested Skills: Technical Leadership Distributed Systems (Streaming) Real-Time Data Processing Software Design Cross-organizational Collaboration 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 for Job Candidates ​ Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. 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.

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. The Capacity & Efficiency Engineering team drives LinkedIn’s end-to-end infrastructure capacity planning and efficiency strategy. We build the data, models, and planning systems that connect infrastructure demand to business growth, attribute costs to the products that drive them, and forecast resource needs across dozens of infrastructure platforms. Our systems are foundational to how Product, Finance, and Infrastructure leadership make decisions on infrastructure investment, capacity allocation, budget planning, and efficiency. By providing a consistent view of demand, supply, and cost, we enable leaders to make informed trade-offs, identify efficiency opportunities, and scale LinkedIn’s infrastructure sustainably. We are seeking a Staff Software Engineer to join LinkedIn's Capacity & Efficiency Engineering team and play a critical role in building the foundational datasets, models, and tools that power infrastructure visibility, cost attribution, and planning. As a technical leader, you'll set a high bar for technical excellence, mentor engineers, and partner closely with cross-functional stakeholders to lead forward-thinking solutions. Responsibilities: Build and evolve the systems and tools that power LinkedIn’s capacity planning and efficiency platforms, improving how we forecast demand, allocate resources, and optimize infrastructure investment at scale. Make efficiency a first-class engineering outcome – build datasets, signals, and planning tools that surface right-sizing, reclamation, and optimization opportunities across the fleet, and translate them into measurable infrastructure savings. Set high standards for data quality, correctness, and reliability across the data and models underpinning critical capacity and financial decisions. Stay hands-on in the most complex engineering challenges, personally drive critical implementations, and set the technical bar through code and architecture. Influence technical strategy across organizational boundaries, mentor engineers, and raise engineering standards beyond your immediate scope. Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 4+ years of industry experience in software design, development, and algorithm related solutions 4+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala Professional experience in capacity planning, infrastructure efficiency, or infrastructure cost and allocation systems at scale. Preferred Qualifications: MS or PhD degree in Computer Science or related technical discipline 8+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position 8+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala 4+ years of experience with large-scale distributed systems and client-server architectures 1+ years of experience as an architect, or technical leadership position Deep understanding of large-scale infrastructure — public cloud (AWS/Azure/GCP) and/or private/on-prem fleets — and the resource and cost models that govern them. Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership. Experience with large-scale distributed systems and client-server architectures Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar) Experience leading and influencing within large, matrixed organization Suggested Skills: Software Engineering Cloud On Premise Capacity Engineering Distributed Systems 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 $170,000 - $277,000. 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. The Capacity & Efficiency Engineering team drives LinkedIn’s end-to-end infrastructure capacity planning and efficiency strategy. We build the data, models, and planning systems that connect infrastructure demand to business growth, attribute costs to the products that drive them, and forecast resource needs across dozens of infrastructure platforms. Our systems are foundational to how Product, Finance, and Infrastructure leadership make decisions on infrastructure investment, capacity allocation, budget planning, and efficiency. By providing a consistent view of demand, supply, and cost, we enable leaders to make informed trade-offs, identify efficiency opportunities, and scale LinkedIn’s infrastructure sustainably. We are seeking a Sr. Staff Software Engineer to join LinkedIn's Capacity & Efficiency Engineering team and play a critical role in building the foundational datasets, models, and tools that power infrastructure visibility, cost attribution, and planning. As a senior technical leader, you'll set a high bar for technical excellence, mentor engineers, and partner closely with cross-functional stakeholders to lead forward-thinking solutions Responsibilities: Define and drive the architecture for LinkedIn’s capacity planning and efficiency platforms, shaping how we forecast demand, allocate resources, and optimize infrastructure investment at scale. Make efficiency a first-class engineering outcome – build datasets, signals, and planning tools that surface right-sizing, reclamation, and optimization opportunities across the fleet, and translate them into measurable infrastructure savings. Set high standards for data quality, correctness, and reliability across the data and models underpinning critical capacity and financial decisions. Stay hands-on in the most complex engineering challenges, personally drive critical implementations, and set the technical bar through code and architecture. Influence technical strategy across organizational boundaries, mentor senior and staff engineers, and raise engineering standards beyond your immediate scope. Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 5+ years of industry experience in software design, development, and algorithm related solutions 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala 2+ years of experience as an architect, or technical leadership position Professional experience in capacity planning, infrastructure efficiency, or infrastructure cost and allocation systems at scale. Preferred Qualifications: MS or PhD degree in Computer Science or related technical discipline 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala 5+ years of experience with large-scale distributed systems and client-server architectures Deep understanding of large-scale infrastructure — public cloud (AWS/Azure/GCP) and/or private/on-prem fleets — and the resource and cost models that govern them. Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership. Experience with large-scale distributed systems and client-server architectures Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar) Experience leading and influencing within large, matrixed organization Suggested Skills: Technical Leadership Cloud On Premise Capacity Engineering Distributed Systems 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 $198,000 - $326,000. 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. This role will be hybrid in LInkedIn’s Mountain View 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 Enterprise & Identity Security team strives to proactively safeguard our corporate identity and infrastructure against external and internal threats and bad actors. You will strive to proactively safeguard our corporate infrastructure and digital assets by identifying, assessing, and mitigating security risks across cloud/SaaS environments, identity systems, endpoints, and essential business workflows. You will operate at the intersection of cloud infrastructure, identity management, software development, and mission-critical security workflows. Responsibilities: Lead the architecture, design, and evolution of enterprise Identity and Access Management (IAM) platforms and services, enabling secure and scalable access across the organization. Engineer and deliver new identity capabilities that improve security, user experience, automation, and operational efficiency. Drive modernization initiatives by re-architecting legacy identity systems into resilient, cloud-ready, and highly scalable platforms. Design solutions that address performance, reliability, scalability, and availability challenges across identity infrastructure. Define and execute the long-term technical strategy and roadmap for identity platforms, aligning with business growth and security objectives. Partner closely with Security, Infrastructure, Product, and Engineering teams to integrate identity services into enterprise applications and platforms. Establish engineering best practices, architectural standards, and governance models for identity systems and services. Lead complex technical initiatives from concept through implementation, influencing cross-functional stakeholders and driving execution at scale. Evaluate emerging technologies and industry trends to continuously improve identity architecture and platform capabilities. Mentor and guide engineers, fostering technical excellence and a culture of innovation within the organization. Build platforms and services that support Zero Trust principles, strong authentication, authorization, and lifecycle management. Ensure identity systems are designed to meet compliance, audit, and regulatory requirements while maintaining a seamless user experience. Assess new and existing applications and system deployments for vulnerabilities and design flaws, and prioritize remediation efforts based on risk. Devise and bolster defenses through secure-by-default frameworks, architectures, and processes. Maintain and build improvements to systems supporting supply chain assurance. Evaluate new products and technologies, including potential acquisitions. Respond to external vulnerability researcher inquiries and vulnerability reports. Educate and advocate for security improvement throughout the LinkedIn ecosystem through mentorship and coaching. Basic Qualifications: BA/BS Degree in Computer Science, Cyber Security, or related technical discipline, or related practical experience. 5+ years of experience in Identity & Access Management, Active Directory, workforce identity lifecycle management, role based access, authentication, authorization, and Single Sign-On (SSO) 5+ years experience and in-depth knowledge of application security, authentication and security protocols, cryptography, supply chain security and mobile security. 5+ years 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 Preferred Qualifications: Experience designing, building, and modernizing enterprise Identity and Access Management (IAM) platforms (such as Microsoft Entra ID), including developing new capabilities, re-architecting legacy systems, and driving large-scale identity transformations. Proven ability to solve scalability, reliability, and performance challenges while creating future-ready identity architectures that support business growth and evolving security requirements. Demonstrated success designing long-term identity platform strategies that support rapid organizational growth and future business needs. Experience with security research, bug bounty and CTF competitions Experience with codeql, semgrep and GitHub integration workflows Ability to work across teams and communicate concisely and clearly to stakeholders Suggested Skills Technical Leadership Architectural Mastery Workforce Identity and Access Management Enterprise Security Advanced Security Practices 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 $156,000 to $255,000. 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 Bangalore, India. 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, 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, build and operate one of the online data infra platforms that power all of Linkedin's core applications. You will participate in design and code reviews to maintain our high development standards. You will partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity. You will mentor other engineers and will help build a fast-growing team. You will work closely with the open-source community to participate and influence cutting edge open-source projects Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience 4+ years industry experience in software design, development, and algorithm related solutions. 4+ years experience programming in object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala or other relevant coding languages Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto) Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems Experience with open-source project management and governance Experience with cloud computing (e.g., Azure) is a plus. Suggested Skills Distributed systems Backend Systems Infrastructure Java 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 for Job Candidates ​ Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. 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 out of Headquarters 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. LinkedIn is looking for Undergraduate Software Engineering Interns to learn, grow, and work with some of the brightest technical talent. As the engineering landscape evolves, we are developing the next generation of technical talent with strong computer science fundamentals, and the engineering judgment to build impactful products and platforms. Interns may work on advanced information-retrieval algorithms, massive-scale infrastructure and storage solutions, and large-scale applications for users across web and mobile devices. You may contribute to data-heavy platforms and applications, including next-generation data infrastructure for storage, streams, media, and analytics. You will help scale LinkedIn infrastructure to support massive data growth across the LinkedIn ecosystem and work with distributed systems, algorithms, caching, queuing, and distributed data storage. You may also use modern AI-powered development tools and emerging technologies to accelerate experimentation, debugging, and technical problem-solving while applying engineering judgment to validate and improve solutions. This internship offers the opportunity to strengthen systems-oriented skills, including multithreading, concurrency, scalability, and performance, and to work on cutting-edge open-source systems. You will collaborate with engineers, receive feedback, and participate in LinkedIn’s broader intern community while exploring how AI and emerging technologies are changing software development. Candidates must be enrolled in an undergraduate degree program and have an expected graduation date of December 2027 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 24th, 2027 - August 13th, 2027 • June 14th, 2027 - September 3rd, 2027 Responsibilities: Scale distributed applications and make architectural tradeoffs using synchronous and asynchronous design patterns. Write code that delivers speed and quality. Apply AI-powered development tools where appropriate to accelerate experimentation and implementation while maintaining engineering rigor. Develop multi-tier, scalable, high-volume, high-performance, and reliable user-centric applications that operate 24x7. Produce high-quality software with unit-tested, code-reviewed work checked regularly for continuous integration. Evaluate technical solutions, test assumptions, and apply engineering judgement to validate and improve solutions before integration. Apply strong computer science fundamentals and engineering judgment to complex, real-world challenges at scale. Partner with engineers, mentors, and cross-functional teammates to exchange feedback and deepen technical skills. Basic Qualifications Pursuing a B.A. or B.S. degree in Computer Science or a related technical field and returning to the program after completion of the internship. Programming experience in Java, C, C++, C#, Python, Rust, Ruby, or a similar object-oriented programming language. Knowledge of core computer science concepts, object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis. Preferred Qualifications Experience working in a short-cycle, agile, and iterative development team. Strong competencies in data structures, algorithms, software design, and object-oriented programming. Experience building, testing, debugging, or scaling software applications or systems through coursework, internships, research, hackathons, open-source contributions, or personal projects. Suggested Skills Distributed Systems Operating Systems Cloud Computing Software Engineering 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.

As part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within Linkedin. The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health-checking and experience platform. We are one of the very few companies globally with a custom-built platform to support billions of metrics ingested at millions of QPS. This role will be based in Bangalore, India. 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: Architect, build, run, and scale real-time storage systems that ingest, process, index, and retain observability data at massive scale - spanning ingestion, stream processing, and long-term retention. Own the technical direction of the observability platform end to end - the collection, processing, and storage of metrics, logs, traces, and events that engineers across the company rely on - and evolve it so insight keeps pace with the growth of our systems. Scale distributed systems and make the hard architectural trade-offs - across processing models, data delivery guarantees, storage tiers, and the balance of cost, latency, and durability - while writing code and delivering with speed and quality. Serve as a role model and coach for engineers, with a strong bias for action, providing architectural guidance and mentorship to up-level the engineering organization.\ Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Produce high-quality infrastructure that is thoroughly tested, code reviewed & resilient. Partner with teams across the company to drive adoption of the platform(s), turning their instrumentation and diagnostic needs into measurable improvements in engineering productivity. Work closely with leadership and product/technology partners to define the roadmap and surface opportunities to improve observability. Navigate and resolve cross-team conflicts to align stakeholders and foster a cohesive, collaborative engineering culture. Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 12+ years of industry experience in software design and development, with strong problem-solving and system-design skills 12+ years of experience programming in object-oriented languages such as Java, C++, Python, Go, C and/or other Functional languages Experience building and operating large-scale streaming and real-time processing systems, including stateful processing and data delivery guarantees Hands on experience developing large-scale observability platforms with a deep understanding of distributed systems, microservice architecture, Pub-Sub systems, logging /metrics / tracing platforms 5+ years of experience in an architect or technical leadership position Preferred Qualifications: 12+ years of software design and development experience, with 5+ years in a technical leadership position. 10+ years of experience with object-oriented design, coding, and testing patterns, and languages such as Java, C++, Go, or Python. 8+ years building and optimizing large-scale distributed storage systems and client-server architectures. Experience designing and operating large-scale storage and OLAP systems, columnar, time-series, key-value, or log-structured stores such as ClickHouse, Apache Pinot, Apache Druid, BigQuery, Cassandra, or Elasticsearch, with a strong grasp of indexing, compaction, replication, and tiered retention. Depth in observability systems across metrics, logs, traces, and events, including high-cardinality ingestion and low-latency query at scale. Experience building systems with AI and using AI-powered coding agents and assistants in everyday development to design, implement, test, and review software at a higher velocity and quality bar. Ability to work with multiple stakeholders, understand product priorities, think big-picture, and solve core problems efficiently. Excellent communication skills, with the ability to articulate complex technical concepts and drive technical strategy across teams and geographies. Maintainer or contributor of open source projects Suggested Skills: Technical Leadership Backend Systems Infrastructure Distributed Systems (Storage) Large-Scale Data Storage Software Design Cross-organizational Collaboration 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 for Job Candidates ​ Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. 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.