Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

The Team: People Tech We create the experiences that power every employee's journey, from their first day through every career milestone that matters. We're not just building internal tools, we're proving what's possible on the ServiceNow platform at scale, for one of the world's most demanding customers: ourselves. Our solutions touch every employee, every day, making real impact on how people work and experience the company. Join us to build experiences that matter, at a scale that will test you, with impact you'll see every single day. What you get to do in this role: Configure and maintain candidate workflows, job posting templates, and recruiting pipelines that match business requirements Build and maintain REST API integrations between Avature and core HR systems (ServiceNow, Workday, etc.) Develop dashboards and reports for recruiting KPIs (time-to-hire, candidate source quality, pipeline velocity, diversity metrics) Maintain sourcing modules, candidate experience features, and application processes to optimize recruiter efficiency Build middleware and data connectors to synchronize candidate data, job postings, and hiring outcomes across systems Conduct data audits and support ETL processes to ensure data accuracy and consistency across Avature and downstream systems Manage job requisition processes, approval workflows, and recruiter tools within Avature Partner with Recruiting Operations and DT teams to translate business requirements into technical solutions Troubleshoot configuration and integration issues and optimize system performance Serve as subject matter expert on Avature capabilities and support user onboarding and change management initiatives To be successful in this role you have: • 3+ years of experience in ATS administration, configuration, or development (or equivalent platform experience) • Hands-on experience configuring applicant tracking systems (Avature preferred; similar platforms like Workday, Greenhouse, or iCIMS acceptable) • Strong understanding of REST APIs and data integration patterns (you can read API documentation and build point-to-point connectors) • SQL or similar query language experience for reporting and data extraction • Configuration mindset: comfortable with both low-code configuration tools and scripting/coding for custom solutions • Problem-solving across technical and business domains—you can translate recruiting workflows into system requirements • Clear communication skills to document technical solutions and present to non-technical stakeholders Preferred Skills • Experience with JSON, JavaScript, or scripting languages • Background in HR systems, HRIS platforms, or recruiting technology • Exposure to data governance, compliance (GDPR, CCPA), and secure data handling • Experience with integration platforms (MuleSoft, Zapier, custom webhooks) or middleware • Familiarity with agile development practices Personal Qualities • Self-starter who thrives in ambiguity and recently implemented systems • Detail-oriented with strong documentation habits • Collaborative and comfortable working across HR, IT, and vendor teams • Proactive learner (willing to grow Avature expertise on the job) • Curious about recruiting workflows and passionate about improving hiring outcomes JV20 Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

About the team The Security and Risk Engineering organization builds scalable, AI-powered security solutions that reduce risk and protect ServiceNow and its customers. We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning. This is a zero-to-one incubation. We’re building a new class of exposure analysis that ranks security work by exploitability—where an attacker could realistically get in—rather than raw severity. The architecture is evolving, and this role helps define what good looks like. The role As a Senior ML Engineer, you build core components of a novel exploitability engine—shipping production ML that turns raw security signal into ranked, reachable attack paths. You take well-scoped problems from design to production and grow into deeper ownership as the system matures. What you’ll own Well-scoped components of the engine—evidence ingestion and connectors, entity resolution, graph construction, or parts of the probability core—built to production quality. The correctness and reliability of what you ship: tests, evaluation, observability, and the metrics that show your component works. Turning ambiguous requirements into working code, with guidance on the calls that shape the wider system. The data and model plumbing that keeps the graph accurate—entity-resolution quality, evidence provenance, and decay. What you’ll do Design, build, test, and operate production ML components with strong engineering fundamentals. Contribute to design and code reviews, and help raise the quality bar on the team. Prototype quickly to evaluate new AI capabilities against real cybersecurity problems. Partner with product, security R&D, and SecOps to understand the problem behind the ticket. Apply AI safety, security, and guardrail practices to what you build. What you bring Solid software engineering fundamentals and experience operating production-quality software. Hands-on experience building ML- or LLM-powered applications—RAG, embeddings, agents, or probabilistic or ML-driven scoring. Experience taking a prototype to a reliable, maintainable production solution. Working knowledge of distributed systems, APIs, cloud-native development, and data or graph systems. Strong Python, and/or Java, Go, or TypeScript. Interest in security problems—vulnerability management, identity security, threat detection, or risk prioritization. Experience with AI-assisted development tools and coding agents such as Claude Code, Codex, Cursor, or Windsurf is a plus. Experience with AI evaluation, safety, or guardrails is a plus. 3+ years of software engineering experience, or equivalent practical experience. Experience designing and delivering production software systems. Experience building or integrating AI/ML-powered applications in a production or near-production environment. Modern AI experience: LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, or AI observability. Strong programming experience in Python and/or Java, Go, or a similar language. Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience. Cybersecurity or security-product experience is a plus. For positions in this location, we offer a base pay of $128,900 - $219,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Please Note: This position will include supporting our US Public Sector customers. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. The Federal SRE Team has 3 shifts that provide 24x7 production support for our Government Community Cloud infrastructure. Below are some highlights No on-call rotation Shift Bonuses for 2nd and 3rd shifts 4 Day Work week This is a 3rd shift position and has a 10-hour 4-day work week, Sunday - Wednesday with working shift hours from 11p.m. - 10 a.m. PT. What you get to do in this role: The SRE team is a group of highly technical engineers who are tasked with maintaining and developing the reliability, scalability and performance of the ServiceNow infrastructure. The SRE is empowered to drive technical resolutions across the technology stack from hardware through to application and all stops in between. They are also tasked with driving forward the operability of the platform to drive down the number of incidents and to reduce MTTR. To accomplish this the team combines software development, networking and systems engineering expertise with a strong desire to be challenged by problems of scale and complexity and to make services better for our customers. Do you: Have a passion for DevOps, Automation and Scripting? Know Linux systems in depth? Have software development background? Understand Observability and Monitoring? Have Experience with Cloud technologies – Azure, AWS ? Write code to automate repetitive tasks? Smile when you trouble shoot and solve an issue in Miami from your laptop in San Diego? Have years of experience accumulated in roles like IT Operations, Software Development, or Systems Engineering? Answer 'yes' to these questions and you are in the front row for a position as SRE at ServiceNow. Go ahead, hit the Apply button and let's have a chat about your skills and experiences. Want to know more about us? Now that we have set the pace, keep reading if you want to understand more about ServiceNow as a company and the SRE role. As an Engineer on the SRE team you will: Provide relief and sustainable resolution to issues within our infrastructure. Use your experience in software development, systems engineering, and networking to proactively prevent repeatable issues. Drive initiatives with partner teams to improve the reliability and performance of the infrastructure through improved system design. Drive a culture of intolerance to manual activity which results in a highly automated environment delivering scalable solutions. Drive monitoring and automation initiatives To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Deep knowledge of Linux systems 2+ years of experience with DevOps automation, CI/CD pipeline and agile methodologies 2+ years of experience with Cloud technologies, preferably Azure 2+ years of Coding in various languages; we normally prefer Python, JavaScript, and Ruby Postgres and MySQL database administration, troubleshooting, and performance tuning Expertise in Observability and Monitoring of applications, services, and networks at scale Networking skills, IP addressing and routing. Nice to Have: Experience developing on the ServiceNow Platform For positions in this location, we offer a base pay of $149,800 - $262,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What you get to do in this role: AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure — prioritizing robustness, performance, safety, and real-world customer impact at scale. About the Team Emerging tech is a small senior group inside AI Engineering and Delivery. We turn early bets on AI and emerging tech into strategic capability for our customers, our people, and ServiceNow. We are working to unlock features that will be helping our platform and products evolve in line with the Fast paced world of Agentic AI — prioritizing robustness, performance, safety, and real-world customer impact at scale. You will design, build, and help build out production-grade agentic AI systems embedded across ServiceNow's platform — autonomous agents that reason over real enterprise data, take action across workflows, and stay safe at Fortune 500 scale. Your core focus areas: Agentic architecture. Design and ship multi-agent systems — orchestration, tool use, planning loops, memory, and failure recovery — that operate reliably in production, not in notebooks. Enterprise-grounded reasoning. Build agents that leverage ServiceNow's data layer — CMDB, Workflow Data Fabric, and Knowledge Graph — to make decisions with context no frontier model has on its own. Trust, safety, and governance. Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale. Retrieval and grounding. Work closely with our search team to ensure agents are grounded in accurate, low-latency retrieval — RAG pipelines, hybrid search, re-ranking, and evaluation — as a critical dependency of agentic quality. Model integration and evaluation. Integrate frontier models (Anthropic, Google, OpenAI) into the Sense → Decide → Act → Govern architecture; evaluate trade-offs across cost, latency, and capability for production use cases. Technical leadership and strong bias for action. Set the architectural patterns the group works from. Own the hard design calls, run the design reviews, and raise the bar on agentic design and production AI discipline across engineers and principals. Designing scalable and robust architectures that will support at scale deployment across hyperscalers and our own infrastructure. Work on emerging model capabilities and applying them to real world customer problems on a short timeline To be successful in this role you have: 6+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes. Production-grade Python. Systems language (Go, Java, or C++) is a plus. Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings. Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics. Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices. Nice to Have Deeper specialization in search and retrieval at scale or MLOps/model observability. Published work or open-source contributions in agentic systems or retrieval. Exposure to LLM fine-tuning or inference optimization in production Why join us Intelligence is commoditizing. Context and execution are not. With 100B+ workflows, 6.5T transactions a year, and 85% of the Fortune 500 on our platform, we are building the system that makes AI actually work inside the enterprise — Sense, Decide, Act, Govern. What's shipping as we speak: AI Specialists autonomously resolving cases across IT, CRM, HR, and Security. Action Fabric opening our full system of action to any external agent via MCP — Anthropic's Claude Cowork is the first design partner. Project Arc with NVIDIA bringing governed autonomous desktop agents into production. Build Agent live inside Cursor, Claude Code, and GitHub Copilot. AI Control Tower with kill-switch capabilities and cross-vendor agent governance. These are production systems at Fortune 500 scale, not roadmap slides. You'd work across multiple problem spaces at the frontier of what we do. You will build the substrate that connects all four: SENSE (any data) → DECIDE (any AI model) → ACT (any workflow) → GOVERN (identity + governance). The architectural inflection point is now. For positions in this location, we offer a base pay of $201,300 - $352,300 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

This is a dynamic role where you will drive quality and development excellence across the entire software development lifecycle, from initial design and coding to comprehensive test automation and deployment. You will be responsible for both building high-quality product features and ensuring their reliability, scalability, and performance. The Team Come join the AI Search UX team and work with a talented group of engineers building out next-generation technologies in the ServiceNow cloud platform. This team is responsible for the cognitive, actionable search functionality and machine learning-based relevancy that help make ServiceNow a powerful platform used by many Fortune 500 companies. Key Responsibilities Software Development & Architecture Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering, architecture, and processes. Contribute to the design and implementation of new products and features while also enhancing the existing product suite. Implement software that is simple to use, allowing customers to extend and customize the functionality to meet their specific needs. Utilize experience with Java development using object-oriented methodologies and understanding of software design patterns, algorithms, and data structures. Create and maintain Client Scripts, UI Policies, Business Rules, and Script Includes using client and server APIs to build and support AI Search’s administrative tools within the company platform. Create and maintain search-related UI components using the company’s UI JavaScript/HTML/CSS framework, adhering to best practices for user experience and accessibility. Develop and maintain analytics dashboards, including designing database schema and data transformation and loading of required data. Modify the GraphQL, Java, and scriptable APIs exposed by AI Search to introduce new functionality and address defects. Provide technical support for customer-reported search-UI/UX issues. Build and maintain a highly interactive, intuitive, easy-to-use admin UI for new, innovative search and machine learning/understanding capabilities that is extensible and easy to maintain. Apply new technology and innovation to improve platform functionality. Engineering & Test Automation Own your code from design through delivery, including comprehensive test automation to ensure the delivery of high-quality products to our users. Create, execute, and maintain scripts and tools for various testing frameworks. Work with quality testing frameworks and tools including Java, Jenkins, JUnit, Playwright, and Selenium. Create and maintain manual test plans, test suites, and test cases for end-to-end testing. Contribute to improving QA processes, ensuring test cases are documented, and test results are published. Assist in setting up test instances with multiple upgrade paths to support broader testing efforts. Collaboration & Process Work closely with Product Owners to understand detailed requirements and define acceptance criteria. Participate in all Agile SCRUM ceremonies, including grooming sessions, to identify key requirements and design the integrated test plan. Contribute to cross-team technical discussions and decision-making. Collaborate with other teams to ensure cross-product dependencies are factored into test cases and lend assistance to ensure collective success. To be successful in this role you have: Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 8+ years of experience in software engineering, with a track record of delivering high-quality products. Proficiency in Python, Java, or similar object-oriented languages. Experience with modern front-end frameworks such as Angular, React, or Vue. Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines Understanding software quality principles including reliability, observability, and production readiness. Ability to troubleshoot complex systems and optimize performance across the stack. Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency. Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems Why Join Us Build and deliver high-impact software that powers digital experiences for millions of users. Collaborate in a culture that values craftsmanship, quality, and innovation. Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability. Be part of a culture that encourages innovation, continuous learning, and shared success. For positions in this location, we offer a base pay of $166,500 - $291,400 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What you get to do in this role We are looking for a Senior Manager of Machine Learning Engineering to lead a team building the next generation of AI Search and Retrieval capabilities that power intelligent experiences across the ServiceNow platform including Conversational and Agentic experiences. You will lead engineers and machine learning practitioners responsible for designing and delivering highly scalable search, retrieval, ranking, recommendation, and RAG (Retrieval-Augmented Generation) systems that enable users to discover information, generate insights, and accomplish work more effectively. This leader will collaborate closely with Product Management, Applied AI, Platform Engineering, UX, and Quality Engineering to define strategy, execute roadmap commitments, and deliver AI-powered experiences that serve millions of users globally. You will play a critical role in advancing the technologies powering ServiceNow AI Search, Knowledge Retrieval, and GenAI experiences, while building a high-performing engineering culture focused on innovation, quality, and business impact. Responsibilities Lead and grow a team of software engineers and machine learning engineers building large-scale AI Search and retrieval systems. Drive the strategy, architecture, and execution for Search, Ranking, Relevance, Personalization, and RAG capabilities. Partner with Product Managers and architects to define and deliver innovative AI-powered experiences. Build scalable retrieval pipelines leveraging vector search, semantic search, ranking models, and large language models. Improve relevance, precision, recall, and overall search quality across structured and unstructured enterprise content. Establish architectural patterns for highly available, resilient, and performant distributed systems. Lead the development and production deployment of machine learning models and retrieval services at enterprise scale. Drive operational excellence, reliability, observability, and performance optimization across the platform. Mentor engineering leaders and individual contributors while fostering a culture of collaboration, innovation, and technical excellence. Partner with cross-functional stakeholders to evaluate emerging AI technologies and accelerate their adoption into customer-facing products. Balance short-term delivery goals with long-term technical investments and platform evolution. To be successful in this role you have: 12+ years of software engineering experience with a Bachelor's degree, or 10+ years with a Master's degree, or equivalent experience. 3+ years of engineering management experience leading high-performing technical teams. Strong expertise in Java or Python and large-scale distributed systems. Hands-on experience with Search technologies such as Lucene, Elasticsearch, Solr, OpenSearch, Algolia, Coveo, Glean, or similar platforms. Experience building and operating large-scale retrieval, ranking, recommendation, or search systems. Experience with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG architectures. Strong understanding of information retrieval, search relevance, ranking algorithms, and semantic search. Experience deploying and operating machine learning models in production environments. Knowledge of cloud-native architectures, microservices, observability, and performance optimization. Strong collaboration and communication skills with the ability to influence across engineering and product organizations. Proven track record of delivering innovative products from concept through production at enterprise scale. Preferred Qualifications Experience building enterprise search, knowledge retrieval, or GenAI products. Experience with personalization, recommendation systems, or relevance optimization. Experience working with vector search technologies and embedding frameworks. Experience leading geographically distributed engineering teams. Experience integrating AI capabilities into customer-facing SaaS products. Why this role is exciting Own a critical part of ServiceNow's AI platform strategy. Influence how millions of users discover knowledge and interact with AI-powered experiences. Lead a team at the intersection of Search, Machine Learning, and Agentic platform. Partner with world-class engineers, researchers, and product leaders. Help shape the future of AI-driven enterprise productivity. For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Position Overview: ServiceNow is seeking a highly motivated and experienced Staff Software Engineer in Platform Persistence to solve complex problems in management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform. The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform’s data architecture and ensuring that data is stored, retrieved, and managed efficiently. In addition to traditional data management, this team will have a unique focus on telemetry and data visualization, making a substantial impact on how customer and platform data is utilized and presented. What you get to do in this role: Writing highly scalable code leveraging best practices on concurrency and memory utilization. Contribute to data management strategies, ensuring scalability, efficiency, and security. Collaborate with cross-functional teams to implement data-related initiatives. Explore and experiment with challenging data problems including but not limited to data loss detection & recovery. Champion data best practices and security standards across the organization. Monitor and optimize data performance, troubleshooting and implementing improvements as needed. Stay current with the latest data storage and management technologies, including distributed storage systems (S3, Apache Iceberg) and Kubernetes-based deployments. Use AI tools to help solve challenging data and distributed systems problems at scale, applying sound judgment on guardrails and process for AI-led software development. Fosters a culture of innovation and continuous improvement. To Be Successful in this role you have: 8+ years of software development experience with a Bachelor's degree; OR 5+ years with Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Proficiency in Java programming and strong expertise in data structures and algorithms. Proficiency with concurrency and parallel programming concepts. Working knowledge of databases, data modeling, and data storage technologies. Strong relational database experience to handle large amount of data on relational systems. Deep knowledge of Kubernetes and hands-on experience with Kubernetes service deployment is a strong plus. Working knowledge of distributed storage systems such as S3 and Apache Iceberg. Strong understanding of cloud-based and distributed systems. Familiarity with ServiceNow platform is a plus. Excellent problem-solving and communication skills. Working knowledge of JavaScript is beneficial for cross-functional collaboration. Experience with AI-assisted development tools and awareness of related guardrails/process is a plus. For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

We are the Platform Engineering Application Life Cycle Team and we are looking for a backend engineer to help join a dynamic environment. We are responsible for the life cycle of an application and so this individual will support us by building/upgrading applications as well as on the platform. Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Partner with developers and product owners to understand requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Help design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Help design and implement new products and features while also enhancing the existing product suite To be successful in this role: Passionate about learning and applying AI to solve Developer needs Passion for writing code in Java and leveraging the web as a platform, with a strong focus on reusability and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) 2-5 years proficiency in Java, Javascript; AWS background is a plus Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Experience In using AI Productivity tools such as Windsurf, Cursor, etc is a plus or nice to have. For positions in this location, we offer a base pay of $125,700 - $194,800 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.