{"schemaVersion":"jobsearcher.job.v1","id":"bcfd750dc3004d7cb1bea133","url":"https://jobsearcher.com/jobs/bcfd750dc3004d7cb1bea133","canonicalUrl":"https://jobsearcher.com/jobs/bcfd750dc3004d7cb1bea133","title":"Advanced Software Engineer","description":"Posting Type\n\nHybrid/Remote\n\nJob Overview\n\nWho We Are\n\nRelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI‑powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high‑stakes legal work where accuracy and trust are crucial.\n\nThe world’s largest law firms, corporations and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.\n\nWhat We Do\n\nAt Relativity, engineers don’t just write code— they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation.\n\nOur team builds the AI platform that Relativity's aiR products run on. We own the systems that orchestrate large-scale document review by LLM — durable workflows that carry a job through millions of documents — and the gateway that routes every model request across cloud regions and sovereign environments while managing capacity, throughput, and cost. Every AI feature our customers touch runs through our stack, and the work is equal parts distributed systems, LLM infrastructure, and reliability engineering.\n\nIf you’re passionate about solving hard problems, designing for scale, and building tools that matter—while working in a culture that values transparency, innovation, and shared success— Relativity offers the opportunity to make a measurable difference in the marketplace.\n\nJob Description and Requirements\n\nWhat You’ll Do\n\nContribute to the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly.\n\nBuild performant , accessible user interfaces and extend backend services and data pipelines.\n\nC onsistently implement clean, testable , maintainable code to deliver customer impact .\n\nCollaborate with a diverse group of teammates and product partners to solve problems, achieve team goals, and build AI-powered legal data solutions at massive scale.\n\nActively contribute to design and code reviews, providing constructive feedback to improve quality and maintainability.\n\nContribute to service ownership by supporting reliability efforts, including on-call rotations and incident response.\n\nImprove throughput, latency, and cost per document across the platform: capacity headroom, token efficiency, and model routing and failover across regions.\n\nPartner directly with the product teams building on the platform to shape its APIs and get new models and capabilities into production safely, including in government cloud environments.\n\nWhat We’re Looking For\n\nRequired\n\n3+ years designing, building, and operating cloud‑native, distributed systems\n\nHands‑on experience with APIs, event‑driven architecture, and data platforms\n\nComfortable developing cloud-based, distributed services.\n\nAbility to write clean, maintainable, well‑tested code using modern tooling and CI/CD\n\nSecurity‑ and reliability‑focused mindset with strong cross‑functional collaboration across engineering, product, and design.\n\nProficiency in Python and/or C#/.NET, with production experience running services on Kubernetes in a major cloud.\n\nA track record of debugging and improving systems in production: distributed tracing, metrics, and comfort owning a service others depend on, on-call included.\n\nPreferred\n\nExperience with full-stack development and modern UI frameworks.\n\nFamiliarity with performance or cost optimization .\n\nFamiliarity with AI-development tools like GitHub Copilot, Cursor or Claude Code.\n\nExperience building on LLM APIs (Azure OpenAI, OpenAI, Anthropic): prompt and model versioning, evaluation, streaming, token accounting, or working within rate limits and provisioned throughput.\n\nExperience with durable workflow engines (Temporal, Airflow, Step Functions) or high-volume batch and streaming data pipelines.\n\nInterest in agentic systems — MCP, tool calling, and the infrastructure that makes them safe to run in a regulated environment.\n\nWhy We Could Be A Great Fit\n\nImpactful Mission: Organize Data, Discover the Truth and Act on It - Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform.\n\nGrowth Path: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth .\n\nEngineering Culture: Continuous delivery, strong observability, and end-to-end ownership.\n\nInclusive Environment: Diverse backgrounds and perspectives make us stronger .\n\nCommunity Impact: Volunteer opportunities and company-sponsored charitable programs.\n\nCompensation & Benefits: Competitive salary, health and retirement programs, wellness r esources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.\n\nRelativity is committed to competitive, fair, and equitable compensation practices.\n\nThis position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.\n\nThe expected salary range for this role is between following values:\n\n$103,000 and $155,000\n\nThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.\n\nRequired Skills:\n\nEngineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting","company":"Relativity","rawCompany":"relativity","city":"Springfield","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-26T08:28:46.585Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Advanced Software Engineer","description":"Posting Type\n\nHybrid/Remote\n\nJob Overview\n\nWho We Are\n\nRelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI‑powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high‑stakes legal work where accuracy and trust are crucial.\n\nThe world’s largest law firms, corporations and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.\n\nWhat We Do\n\nAt Relativity, engineers don’t just write code— they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation.\n\nOur team builds the AI platform that Relativity's aiR products run on. We own the systems that orchestrate large-scale document review by LLM — durable workflows that carry a job through millions of documents — and the gateway that routes every model request across cloud regions and sovereign environments while managing capacity, throughput, and cost. Every AI feature our customers touch runs through our stack, and the work is equal parts distributed systems, LLM infrastructure, and reliability engineering.\n\nIf you’re passionate about solving hard problems, designing for scale, and building tools that matter—while working in a culture that values transparency, innovation, and shared success— Relativity offers the opportunity to make a measurable difference in the marketplace.\n\nJob Description and Requirements\n\nWhat You’ll Do\n\nContribute to the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly.\n\nBuild performant , accessible user interfaces and extend backend services and data pipelines.\n\nC onsistently implement clean, testable , maintainable code to deliver customer impact .\n\nCollaborate with a diverse group of teammates and product partners to solve problems, achieve team goals, and build AI-powered legal data solutions at massive scale.\n\nActively contribute to design and code reviews, providing constructive feedback to improve quality and maintainability.\n\nContribute to service ownership by supporting reliability efforts, including on-call rotations and incident response.\n\nImprove throughput, latency, and cost per document across the platform: capacity headroom, token efficiency, and model routing and failover across regions.\n\nPartner directly with the product teams building on the platform to shape its APIs and get new models and capabilities into production safely, including in government cloud environments.\n\nWhat We’re Looking For\n\nRequired\n\n3+ years designing, building, and operating cloud‑native, distributed systems\n\nHands‑on experience with APIs, event‑driven architecture, and data platforms\n\nComfortable developing cloud-based, distributed services.\n\nAbility to write clean, maintainable, well‑tested code using modern tooling and CI/CD\n\nSecurity‑ and reliability‑focused mindset with strong cross‑functional collaboration across engineering, product, and design.\n\nProficiency in Python and/or C#/.NET, with production experience running services on Kubernetes in a major cloud.\n\nA track record of debugging and improving systems in production: distributed tracing, metrics, and comfort owning a service others depend on, on-call included.\n\nPreferred\n\nExperience with full-stack development and modern UI frameworks.\n\nFamiliarity with performance or cost optimization .\n\nFamiliarity with AI-development tools like GitHub Copilot, Cursor or Claude Code.\n\nExperience building on LLM APIs (Azure OpenAI, OpenAI, Anthropic): prompt and model versioning, evaluation, streaming, token accounting, or working within rate limits and provisioned throughput.\n\nExperience with durable workflow engines (Temporal, Airflow, Step Functions) or high-volume batch and streaming data pipelines.\n\nInterest in agentic systems — MCP, tool calling, and the infrastructure that makes them safe to run in a regulated environment.\n\nWhy We Could Be A Great Fit\n\nImpactful Mission: Organize Data, Discover the Truth and Act on It - Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform.\n\nGrowth Path: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth .\n\nEngineering Culture: Continuous delivery, strong observability, and end-to-end ownership.\n\nInclusive Environment: Diverse backgrounds and perspectives make us stronger .\n\nCommunity Impact: Volunteer opportunities and company-sponsored charitable programs.\n\nCompensation & Benefits: Competitive salary, health and retirement programs, wellness r esources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.\n\nRelativity is committed to competitive, fair, and equitable compensation practices.\n\nThis position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.\n\nThe expected salary range for this role is between following values:\n\n$103,000 and $155,000\n\nThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.\n\nRequired Skills:\n\nEngineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting","datePosted":"2026-09-26T08:28:46.585Z","dateModified":"2026-09-26T08:28:46.585Z","hiringOrganization":{"@type":"Organization","name":"Relativity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcfd750dc3004d7cb1bea133"},"url":"https://jobsearcher.com/jobs/bcfd750dc3004d7cb1bea133"}}