OpsMill · 12 hours ago
Product Reliability Engineer
OpsMill is building Infrahub, a schema-driven infrastructure source of truth that helps teams unify data and scale automation reliably. The Product Reliability Engineer will be responsible for diagnosing issues in customer environments and building tools and processes to ensure reliability in on-prem deployments.
Software Development
Responsibilities
Partner directly with customers and with our Solution Architecture/Customer Success teams on L2/L3 escalations—communicating findings, driving root-cause analysis, and resolving complex packaging, deployment, upgrade, and runtime issues across heterogeneous Kubernetes environments
Drive issues to resolution by reproducing problems locally, isolating root causes, and coordinating fixes with engineering—then documenting learnings in crisp RCAs that become actionable improvements
Build and maintain diagnostics tooling including support bundles, health checks, environment validators, and "what changed?" helpers that make future troubleshooting 10x faster
Own the test automation infrastructure roadmap, improving CI stability, reducing flaky tests, and creating reproducible integration/e2e environments that catch issues before customers do
Establish and maintain performance baselines and regression tests that serve as actionable gates, helping teams catch scale and latency issues early
Improve installation and upgrade robustness by identifying recurring failure modes and eliminating them through product changes, automation, and guardrails
Write production-quality code in Python, Go, or Rust for internal tooling and product improvements that directly enhance reliability
Close the reliability feedback loop by systematically turning field issues into better tests, observability, documentation, and product defaults—measuring success through reduced time-to-resolution and fewer repeat incidents
Qualification
Required
4-7 years of experience in production engineering, SRE, platform engineering, or similar roles where you've owned reliability and customer escalations
Strong software engineering fundamentals including design, debugging, testing, code review, and a focus on maintainable, production-quality code
Practical Kubernetes expertise sufficient to debug real deployments: troubleshooting resources, networking, storage, RBAC, and platform-specific quirks across different distributions
Deep troubleshooting instincts and observability experience using logs, metrics, and traces to diagnose issues quickly in complex, distributed systems
Experience with at least one of: Python, Go, or Rust for building tooling and contributing to product code (you don't need to be expert in all three)
Excellent problem decomposition and communication skills—you can break down messy, ambiguous issues and clearly explain your findings and recommendations
Self-directed remote work capability with strong async communication skills and the ability to operate independently in a fast-moving environment where priorities shift based on customer needs
Collaborative mindset with experience partnering across product, engineering, and customer-facing teams to drive systematic improvements
Preferred
Experience with packaging and distribution systems (containers, Helm charts, installers) and managing upgrade/migration flows
Background running CI/CD at scale including test parallelization, hermetic environments, and artifact management
Familiarity with performance tooling such as profiling, load generation, and benchmark harnesses
Previous experience in customer-facing technical roles like escalation engineering, support engineering, or solutions engineering
Contributions to open source projects, especially in infrastructure, observability, or reliability tooling
Company
OpsMill
Simplify Infrastructure Automation
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Serena
2024-05-28Seed
Recent News
2024-11-20
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