{"id":1344572,"url":"https://alion.io/job/blueshieldca-director-performance-engineering-and-test-automation","title":"Director, Performance Engineering and Test Automation","company":{"id":1766006,"name":"BlueShieldCA","domain":"blueshieldca.com","url":"https://alion.io/company/blueshieldca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-01T05:45:00Z"}},"role":"QA","role_family":"QA","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":218000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"Auth0","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"Dapr","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Gatling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"HIPAA","optional":false},{"name":"Jest","optional":false},{"name":"JMeter","optional":false},{"name":"k6","optional":false},{"name":"Kubernetes","optional":false},{"name":"Locust","optional":false},{"name":"Nest.JS","optional":false},{"name":"New Relic","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Playwright","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"React.js","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Go","optional":true},{"name":"JavaScript","optional":true}],"status":"closed","first_seen_at":"2026-08-25T22:40:58Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-01T03:13:41Z","board_verified":false,"closed_at":"2026-10-01T03:13:41Z","days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Your Role\nThe Stellarus Technology team builds and operates the platform, services, and products that support payer operations, member experiences, customer integrations, and internal product delivery. The Director, Performance Engineering and Test Automation will report to the VP, Engineering. In this role, you will create the automated performance and reliability validation systems that give engineering teams clear evidence before services reach production.\nYou will own the strategy and implementation for performance testing, load testing, scalability validation, resilience testing, synthetic monitoring, test data automation, and release gates across the Stellarus platform. You will work directly with developers to define the standards, patterns, tooling, and expectations teams use when they design, build, test, and operate services, including where AI and AI-assisted engineering tools can improve quality, speed, and signal.\nThis is a new role for a builder who can define the practice, implement the tooling, partner with engineering teams, and create a culture where performance and reliability are validated continuously. The role combines performance engineering, platform quality, automation, observability, and production readiness.\nOur leadership model is about developing great leaders at all levels and creating opportunities for our people to grow personally, professionally, and financially. We are looking for leaders energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.\nYour Work\nIn this role, you will:\nBuild the performance engineering and automated testing function for Stellarus' cloud-native platform.\nDesign and implement fully automated performance, load, stress, soak, regression, and scalability test systems for services, APIs, workflows, and products.\nEstablish automated quality gates in CI/CD so teams get clear feedback before code reaches production-like environments.\nDefine service-level performance expectations, test coverage standards, baseline thresholds, release criteria, and escalation paths for performance regressions.\nPartner directly with developers to define practical standards for testing microservices, event-driven workflows, APIs, customer-facing applications, and internal platform services.\nUse AI-assisted tools where they make sense to accelerate test generation, synthetic scenario creation, log analysis, regression detection, documentation, and developer feedback loops.\nCreate production-like test environments, test data strategies, traffic models, synthetic workloads, and repeatable test scenarios that reflect real healthcare payer workflows.\nUse observability data to connect test results to system behavior, including latency, throughput, error rates, queue depth, resource saturation, database performance, cold starts, retries, and downstream failures.\nHelp teams identify bottlenecks in application code, APIs, database queries, infrastructure, Kubernetes configuration, service-to-service calls, and event processing.\nBuild dashboards and reporting that make performance trends visible and actionable for engineers, product leaders, and technology leadership.\nCollaborate with developers to define standards for automated end-to-end testing, contract testing, integration testing, and performance regression testing across the Nx monorepo.\nWork with platform engineering to integrate testing into GitHub Actions, AKS, Dapr, Azure Service Bus, APIM, Terraform-managed environments, and ArgoCD deployment workflows.\nLead incident and launch readiness reviews where performance, scalability, or reliability risk is material.\nMentor developers, architects, and managers on performance design, test automation, failure analysis, and production readiness.\nBuild a small high-leverage team over time, while remaining close enough to the tooling and technical details to set direction credibly.\nYour Knowledge and Experience\nBachelor’s degree or High School Diploma/GED and 4 years of additional relevant experience in lieu of a degree.\n10 years of software engineering, quality engineering, performance engineering, platform engineering, SRE, or related technical experience.\n6 years leading teams or technical programs focused on performance, test automation, reliability, platform quality, or production readiness.\nStrong hands-on background building automated test systems, load testing frameworks, performance pipelines, or reliability validation tooling.\nExperience testing distributed systems, microservices, APIs, event-driven architectures, and cloud-native applications.\nPractical understanding of latency, throughput, concurrency, queueing, backpressure, retries, caching, database performance, resource saturation, and failure modes in production systems.\nExperience with tools such as k6, Gatling, JMeter, Locust, Playwright, Cypress, Jest, Grafana, Prometheus, OpenTelemetry, Datadog, New Relic, Azure Monitor, or similar platforms.\nExperience integrating automated tests into CI/CD pipelines and making test results useful to engineering teams.\nExperience evaluating or applying AI-assisted engineering tools for test generation, analysis, automation, or developer productivity is preferred.\nStrong understanding of Kubernetes, containers, cloud infrastructure, API gateways, message queues, relational databases, and service observability.\nAbility to work with engineers at code, architecture, infrastructure, and operational levels.\nExperience defining performance benchmarks, synthetic workloads, test data strategies, production-like environments, and release readiness criteria.\nStrong communication skills. You can explain performance risk clearly and turn findings into practical engineering action.\nHealthcare, payer, regulated-industry, SOC 2, HIPAA, or security-sensitive platform experience is preferred.\nTechnology Context\nStellarus is building primarily with:\nTypeScript, Node.js, NestJS, React, Next.js\nPostgreSQL, Azure Blob Storage, Snowflake\nAzure Kubernetes Service, Azure API Management, Azure Service Bus\nDapr for service invocation and pub/sub\nTerraform, ArgoCD, GitHub Actions, Docker\nAuth0, OAuth2, OpenID Connect, API key support for integrations\nNx monorepo, API contract-first development, automated testing\nFor this role, we especially value experience with:\nAutomated performance and load testing for APIs and distributed workflows\nSynthetic monitoring and production-like traffic modeling\nObservability-driven debugging and regression detection\nAI-assisted test generation, failure analysis, and engineering workflow automation\nCI/CD quality gates and release readiness automation\nDatabase and message-queue performance analysis\nKubernetes workload tuning and capacity planning\nEnd-to-end test automation for user-facing and service-level workflows\nWe value strong engineering judgment, a bias toward automation, and the ability to build systems that help product teams move faster with clear performance and reliability signals.\nHybrid\nThis role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.\nEmployees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.","description_format":"text","description_chars":7414,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":6,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-09-27T16:21:10Z"},{"event":"close","at":"2026-10-01T03:13:41Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/blueshieldca-director-performance-engineering-and-test-automation","json_url":"https://alion.io/job/blueshieldca-director-performance-engineering-and-test-automation.json","meta":{"generated_at":"2026-10-01T11:11:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2685,"day_limit":5000,"remaining_today":2315,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}