
501 - 1000 employees
Founded 2001
đĄïž Insurance
đŒ Consulting
đŠ Logistics
Insurance âą Consulting âą Logistics
Stratus is a B2B technology and consulting firm that helps property & casualty insurers and Managing General Agents modernize legacy core systems, migrate to the cloud, and transform insurance data to enable faster product launches, better analytics, and operational efficiency. It offers domain-focused services including Guidewire and Insurity implementation and optimization, cloud migration roadmaps on Azure, AI readiness and execution, data strategy and governance, application maintenance and QA, platform selection support, and on-demand IT talent via embedded delivery pods. Stratus positions itself as a high-touch partner delivering practical, people-first modernization and talent solutions for insurance technology transformation.
đ October 6
đșđž United States â Remote
â° Full Time
đ Senior
â DevOps & Site Reliability Engineer (SRE)
đŠ H1B Visa Sponsor
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501 - 1000 employees
Founded 2001
đĄïž Insurance
đŒ Consulting
đŠ Logistics
Insurance âą Consulting âą Logistics
Stratus is a B2B technology and consulting firm that helps property & casualty insurers and Managing General Agents modernize legacy core systems, migrate to the cloud, and transform insurance data to enable faster product launches, better analytics, and operational efficiency. It offers domain-focused services including Guidewire and Insurity implementation and optimization, cloud migration roadmaps on Azure, AI readiness and execution, data strategy and governance, application maintenance and QA, platform selection support, and on-demand IT talent via embedded delivery pods. Stratus positions itself as a high-touch partner delivering practical, people-first modernization and talent solutions for insurance technology transformation.
âą Define and own service level indicators, objectives, and error budgets for customer-facing services âą Build measurement pipelines and regularly publish availability and latency against targets âą Build and own production observability, including instrumentation standards, dashboards, and actionable alerting âą Establish and run incident response practices, including on-call rotations, paging paths, severity definitions, incident ownership, escalations, and blameless post-mortems âą Define rollback and recovery standards and verify them through regular exercises âą Lead performance and capacity engineering, including query and index tuning, connection-pool sizing, capacity modeling, and graceful degradation design âą Work with the team running k6 load, stress, spike, and soak testing; establish latency thresholds tied to SLOs and make results a delivery gate âą Drive production readiness reviews covering instrumentation, alerting, failure modes, resource limits, and rollback âą Track post-mortem remediation items through verified production changes âą Contribute to business continuity and disaster recovery planning, including backup and restore validation, failover design, and recovery objectives âą Partner with engineering pods to expand reliability ownership and coach teams on operating their services âą Write tooling, automation, instrumentation libraries, and production-code fixes âą Work across engineering pods, platform and security functions, and customer-facing teams
âą 6-8+ years of professional engineering experience âą 3-5+ years in a dedicated SRE or production engineering role at a B2B SaaS company âą Demonstrated ownership of SLOs and error budgets in production âą Deep practical observability skills with Prometheus, Loki, Tempo, and Grafana or comparable tools âą Hands-on incident command experience at meaningful severity âą Experience building on-call and escalation practice from the ground up âą Strong database performance skills, including query profiling, index design, connection pooling, and diagnosing saturation under load âą MongoDB experience strongly preferred; comparable document or relational depth acceptable âą Production Kubernetes experience; AKS preferred âą Ability to debug pod scheduling, resource limits, networking, and service mesh behavior âą Solid coding ability in Go, Python, C#, or TypeScript âą Willingness to work in a C#/.NET codebase âą Experience with load and performance testing tooling such as k6, JMeter, or Gatling âą Production experience on Azure or AWS âą Fluency with AI-assisted engineering tooling and experience designing AI-leveraged workflows âą Excellent written communication âą Judgment and steadiness under pressure âą Nice-to-have experience includes SRE practice development, Sentry, event-driven systems, MongoDB Atlas, durable workflow orchestration, multi-region or multi-zone architecture, incident management platforms, DORA metrics, SOC 2/NIST 800-171, legacy monolith reliability, MEP/BIM/AEC/construction technology, and Series B/growth-stage companies âą Eligibility to work in the U.S. is verified post-hire through E-Verify
âą Primarily remote work âą US Eastern time preferred
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