{"schemaVersion":"jobsearcher.job.v1","id":"4f62d300f9fdd982c9a69d89","url":"https://jobsearcher.com/jobs/4f62d300f9fdd982c9a69d89","canonicalUrl":"https://jobsearcher.com/jobs/4f62d300f9fdd982c9a69d89","title":"Database Reliability Engineer","description":"About WorkOS\nWorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We’re a fully distributed team with employees across North American time zones. We’re well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others.\nAbout the Infrastructure Team\nThe Infrastructure team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with product engineering teams.\nAs a Database Reliability Engineer on this team, you'll bring specialized database expertise to the Infrastructure organization. You'll own the full lifecycle of database management, from design and capacity planning through performance optimization and disaster recovery, ensuring data durability and scalability as WorkOS grows.\nThe Role\nAs a Database Reliability Engineer, you'll be the expert our engineering teams turn to for everything database-related. You'll work across the stack to ensure our PostgreSQL infrastructure (and related data stores) can support WorkOS's growth, from query optimization to capacity planning to incident response. You'll combine the mindset of a software engineer with deep database administration expertise to build automation, improve observability, and make our data layer self-healing wherever possible.\nWhat You'll Do\nOwn the reliability, performance, and scalability of WorkOS's PostgreSQL infrastructure.\nAnalyze and implement best practices for our database clusters, including replication, connection pooling, high availability, and disaster recovery.\nBuild and maintain observability for database metrics (query performance, replication lag, connection saturation, storage growth) and ensure we meet our database SLOs.\nProvide database expertise to product engineering teams through migration reviews, query optimization guidance, and schema design consultation.\nDevelop automation and self-service tooling that enables engineers to safely interact with databases without bottlenecking on the DBRE team.\nParticipate in on-call rotations and lead incident response for database-related production issues, performing root cause analysis and implementing permanent fixes.\nPlan and manage database capacity, forecasting growth and ensuring our infrastructure can handle increased workloads.\nCollaborate with SREs to roll out infrastructure changes to production environments, with a focus on minimizing risk to the data layer.\nDocument operational procedures, runbooks, and architectural decisions so learnings become repeatable actions and eventually automation.\nDrive improvements to backup and recovery strategies, regularly testing and validating disaster recovery procedures.\nAbout You\n5+ years of experience running PostgreSQL in production at scale, with strong knowledge of internals (WAL, MVCC, vacuum tuning, query planner, indexing, replication).\nSolid software engineering skills. You write production-quality code, not just scripts. Experience with Python, Go, Ruby, or similar languages.\nExperience with infrastructure-as-code and configuration management (Terraform, Ansible, Chef, or similar).\nStrong SQL skills and the ability to review and optimize complex queries for high-throughput, low-latency environments.\nExperience with database high-availability patterns: streaming replication, connection pooling (PgBouncer), failover automation (Patroni or similar).\nFamiliarity with cloud database services on AWS (RDS, Aurora, DynamoDB, ElastiCache) or equivalent platforms.\nExperience with monitoring and observability tools (Datadog, Prometheus, Grafana, or similar) applied to database workloads.\nComfort with on-call responsibilities and a track record of effective incident response.\nStrong written and verbal communication skills. You document your work and share context proactively.\nA proactive, ownership-driven mindset. When you see something broken, you fix it. When you see a pattern of toil, you automate it.\nNice to Have\nExperience with other data stores beyond PostgreSQL (Redis, DynamoDB, ClickHouse, Elasticsearch).\nFamiliarity with Ruby on Rails or Django and how ORMs interact with the database layer.\nExperience with database migration tooling and blue-green or zero-downtime migration strategies.\nContributions to open-source database tooling or the PostgreSQL ecosystem.\nBackground in security-sensitive environments, particularly around data encryption, access controls, and compliance requirements.\nProjects You Could Work On\nDesigning and implementing automated failover and self-healing for our PostgreSQL clusters.\nBuilding a query performance analysis pipeline that surfaces slow queries and recommends index improvements before they become production issues.\nDeveloping a database change management system that lets engineers safely run migrations with automated rollback capabilities.\nImproving our disaster recovery posture by testing backup restoration, reducing recovery time objectives, and automating DR drills.\nCreating capacity planning models that forecast database growth and trigger scaling actions proactively.\nBuilding internal tooling and dashboards that give engineering teams visibility into their database usage patterns.\nOptimizing our connection pooling and load balancing strategy across read replicas to improve throughput and reduce latency.\nBenefits (US Only)\nAt WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.\n\nBenefits include:\nCompetitive pay\nSubstantial equity grants\nHealthcare insurance (Medical, Dental and Vision) for you and your family\n401k matching\nWellness and fitness monthly allowances\nPTO + paid holidays + unlimited sick leave\nAutonomy and flexibility with remote work\nPlease inquire directly with our recruiting team for benefits available to those working outside the US.\n\nEqual Opportunity Employer\nWorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\nCompensation Range: $175K - $275K","company":"Workos","rawCompany":"workos","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:01:51.034Z","occupations":[{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database Reliability Engineer","description":"About WorkOS\nWorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We’re a fully distributed team with employees across North American time zones. We’re well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others.\nAbout the Infrastructure Team\nThe Infrastructure team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with product engineering teams.\nAs a Database Reliability Engineer on this team, you'll bring specialized database expertise to the Infrastructure organization. You'll own the full lifecycle of database management, from design and capacity planning through performance optimization and disaster recovery, ensuring data durability and scalability as WorkOS grows.\nThe Role\nAs a Database Reliability Engineer, you'll be the expert our engineering teams turn to for everything database-related. You'll work across the stack to ensure our PostgreSQL infrastructure (and related data stores) can support WorkOS's growth, from query optimization to capacity planning to incident response. You'll combine the mindset of a software engineer with deep database administration expertise to build automation, improve observability, and make our data layer self-healing wherever possible.\nWhat You'll Do\nOwn the reliability, performance, and scalability of WorkOS's PostgreSQL infrastructure.\nAnalyze and implement best practices for our database clusters, including replication, connection pooling, high availability, and disaster recovery.\nBuild and maintain observability for database metrics (query performance, replication lag, connection saturation, storage growth) and ensure we meet our database SLOs.\nProvide database expertise to product engineering teams through migration reviews, query optimization guidance, and schema design consultation.\nDevelop automation and self-service tooling that enables engineers to safely interact with databases without bottlenecking on the DBRE team.\nParticipate in on-call rotations and lead incident response for database-related production issues, performing root cause analysis and implementing permanent fixes.\nPlan and manage database capacity, forecasting growth and ensuring our infrastructure can handle increased workloads.\nCollaborate with SREs to roll out infrastructure changes to production environments, with a focus on minimizing risk to the data layer.\nDocument operational procedures, runbooks, and architectural decisions so learnings become repeatable actions and eventually automation.\nDrive improvements to backup and recovery strategies, regularly testing and validating disaster recovery procedures.\nAbout You\n5+ years of experience running PostgreSQL in production at scale, with strong knowledge of internals (WAL, MVCC, vacuum tuning, query planner, indexing, replication).\nSolid software engineering skills. You write production-quality code, not just scripts. Experience with Python, Go, Ruby, or similar languages.\nExperience with infrastructure-as-code and configuration management (Terraform, Ansible, Chef, or similar).\nStrong SQL skills and the ability to review and optimize complex queries for high-throughput, low-latency environments.\nExperience with database high-availability patterns: streaming replication, connection pooling (PgBouncer), failover automation (Patroni or similar).\nFamiliarity with cloud database services on AWS (RDS, Aurora, DynamoDB, ElastiCache) or equivalent platforms.\nExperience with monitoring and observability tools (Datadog, Prometheus, Grafana, or similar) applied to database workloads.\nComfort with on-call responsibilities and a track record of effective incident response.\nStrong written and verbal communication skills. You document your work and share context proactively.\nA proactive, ownership-driven mindset. When you see something broken, you fix it. When you see a pattern of toil, you automate it.\nNice to Have\nExperience with other data stores beyond PostgreSQL (Redis, DynamoDB, ClickHouse, Elasticsearch).\nFamiliarity with Ruby on Rails or Django and how ORMs interact with the database layer.\nExperience with database migration tooling and blue-green or zero-downtime migration strategies.\nContributions to open-source database tooling or the PostgreSQL ecosystem.\nBackground in security-sensitive environments, particularly around data encryption, access controls, and compliance requirements.\nProjects You Could Work On\nDesigning and implementing automated failover and self-healing for our PostgreSQL clusters.\nBuilding a query performance analysis pipeline that surfaces slow queries and recommends index improvements before they become production issues.\nDeveloping a database change management system that lets engineers safely run migrations with automated rollback capabilities.\nImproving our disaster recovery posture by testing backup restoration, reducing recovery time objectives, and automating DR drills.\nCreating capacity planning models that forecast database growth and trigger scaling actions proactively.\nBuilding internal tooling and dashboards that give engineering teams visibility into their database usage patterns.\nOptimizing our connection pooling and load balancing strategy across read replicas to improve throughput and reduce latency.\nBenefits (US Only)\nAt WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.\n\nBenefits include:\nCompetitive pay\nSubstantial equity grants\nHealthcare insurance (Medical, Dental and Vision) for you and your family\n401k matching\nWellness and fitness monthly allowances\nPTO + paid holidays + unlimited sick leave\nAutonomy and flexibility with remote work\nPlease inquire directly with our recruiting team for benefits available to those working outside the US.\n\nEqual Opportunity Employer\nWorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\nCompensation Range: $175K - $275K","datePosted":"2026-04-09T08:01:51.034Z","dateModified":"2026-04-09T08:01:51.034Z","hiringOrganization":{"@type":"Organization","name":"Workos","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4f62d300f9fdd982c9a69d89"},"url":"https://jobsearcher.com/jobs/4f62d300f9fdd982c9a69d89"}}