Site Reliability Engineer who owns production services end-to-end, writes production code, builds observability and internal tooling, and embeds with product teams to improve reliability and performance. Requires 5+ years experience and strong systems programming skills.
160k – 300k/yr
On-site5+ YOEDevOps / SRE
About the role
Responsibilities
Own critical production services end-to-end, from design and code review through deployment, operation, and incident response
Profile, benchmark, and rewrite hot paths to eliminate bottlenecks as Hebbia scales
Lead incident response and drive post-mortem culture, translating findings into code changes and architectural improvements rather than runbooks
Design and build observability frameworks from scratch, writing custom instrumentation, alerting logic, and debugging tooling
Define and enforce SLOs across platform services and build the feedback loops that keep engineering teams accountable
Own capacity planning and cost efficiency: model growth, right-size infrastructure, and write automation that prevents over-provisioning
Build robust, well-tested internal platforms and deployment tooling held to the same engineering standards as customer-facing code
Own and continuously improve CI/CD systems
Embed with product engineering teams as a peer software engineer, contributing directly to production codebases and co-designing systems for reliability
Partner on infrastructure security through threat modeling, hardening, and automated compliance tooling
Requirements
5+ years software development with a track record of writing, shipping, and maintaining production services
Production-grade proficiency in at least one systems or backend language: Go, Python, C++, or Rust
Proven experience as a Production Engineer, SRE, or software engineer with a deep infrastructure focus
Deep understanding of distributed systems
Container orchestration expertise and hands-on experience debugging complex distributed failures in production
Working knowledge of OS-level concepts
Cloud platform fluency (AWS preferred)
Experience in building and maintaining observability stacks
Strong CI/CD pipeline expertise and a track record of improving developer velocity without sacrificing safety
Nice-to-Haves
Background at a company with a Production Engineering or software-focused SRE culture
Experience building platforms for AI/ML workloads or high-throughput document processing pipelines
Skills
GoPythonC++RustAWSKubernetesDockerCI/CDObservabilityDistributed Systems
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