Site Reliability Engineering Manager

About the role

Conifers is building an AI‑native security platform and needs a Site Reliability Engineering Manager to own the health and reliability of its production system. This hands‑on leader will guide a small SRE team, collaborate with R&D, Product and GTM, and ensure the platform is observable, stable and ready for customers 24/7.

Key responsibilities

• Own end‑to‑end health and reliability of the production platform, beyond basic infrastructure uptime.
• Design, build and continuously improve monitoring, observability, alerting, dashboards and health‑check tooling.
• Define platform‑wide reliability, availability, performance and product‑health metrics and targets.
• Proactively detect production issues, abnormal behavior and reliability risks before they affect customers.
• Lead incident response, root‑cause analysis, post‑mortems and follow‑up actions.
• Partner with R&D to improve system resilience, error handling, scalability and production readiness.
• Work with Product to embed health indicators and operational readiness into new features.
• Collaborate with GTM and customer‑facing teams during production incidents and complex troubleshooting.
• Build automation and internal tools that reduce manual operational work.
• Mentor and lead a small team of engineers while staying deeply hands‑on.

Required profile

• 4+ years of experience in SRE, production engineering, DevOps or related fields.
• Proven technical leadership or engineering‑management experience.
• Strong software‑engineering background with ability to investigate complex, multi‑service problems.
• Demonstrated experience operating highly available, complex production systems.
• Excellent troubleshooting, root‑cause analysis and incident‑management skills.
• Ability to work across Engineering, Product, GTM and customer‑facing teams.
• Strong sense of ownership and a track record of driving issues from detection to resolution.

Required skills

• Observability, monitoring and alerting frameworks.
• Distributed systems design and performance tuning.
• Scalability and reliability engineering principles.
• Automation and scripting/programming proficiency.
• Modern cloud platforms (e.g., AWS, GCP, Azure).
• Container orchestration and Docker/Kubernetes environments.
• Incident management and post‑mortem processes.