Site Reliability Engineer

About the role

We’re hiring a Site Reliability Engineer (SRE) to ensure the reliability, performance, and scalability of Plenful’s production systems as we continue to grow.

This role is centered on operating real systems at scale — not just building infrastructure, but deeply understanding how it behaves under load, fails in production, and recovers. You’ll define reliability standards, own production health, and build the feedback loops that make our systems more resilient over time.

You’ll work closely with backend, data, and ML engineers to ensure our platform is highly available, measurable, and continuously improving. This includes everything from incident response and performance debugging to SLO design and system-level optimization.

What You’ll Do

• Define and implement SLIs, SLOs, and error budgets across core services
• Own production system health, including uptime, latency, and availability targets
• Continuously improve system resilience through proactive reliability work
• Identify and mitigate single points of failure across distributed systems

Production Operations & Incident Response

• Participate in and improve on-call rotations and incident response processes
• Lead incident triage, mitigation, and resolution in real time
• Conduct blameless postmortems and ensure follow-through on action items
• Build tooling and automation to reduce MTTR (Mean Time to Recovery)

Observability & System Insight

• Design and evolve observability systems across:
• Metrics, logs, and distributed tracing (OpenTelemetry)
• Tooling including Datadog, CloudWatch, Grafana, Sentry
• Improve signal quality to reduce noise and alert fatigue
• Develop dashboards and alerts that reflect real system health and user impact
• Use observability data to drive performance and reliability improvements

Performance & Scalability

• Analyze system performance under load and identify bottlenecks
• Optimize latency, throughput, and resource utilization across:
• Serverless systems (AWS Lambda)
• Containerized services (ECS)
• Data systems (Aurora Postgres, ClickHouse)
• Partner with engineering teams to improve system efficiency and scaling behavior

Automation & Reliability Tooling

• Build automation to eliminate repetitive operational work
• Improve deployment safety through reliability checks and safeguards
• Contribute to CI/CD pipelines (GitHub Actions) with a focus on system stability
• Develop tools for:
• Incident response
• Debugging
• Capacity planning

Security, Compliance & Operational Maturity

• Partner with security and compliance to ensure systems meet operational standards
• Support audit readiness and reliability-related compliance requirements (Vanta)
• Integrate monitoring and alerting into security and SIEM workflows
• Help mature operational practices across the engineering team

Environment & Technical Context

• Cloud: AWS (ECS, Lambda, RDS Aurora Postgres, CloudWatch)
• Infrastructure: Terraform, Ansible, Linux
• CI/CD: GitHub Actions
• Observability: Datadog, Grafana, CloudWatch, OpenTelemetry, Sentry, pganalyze
• Data Systems: Postgres, ClickHouse
• Security & Compliance: Vanta, SIEM tooling
• Product & Analytics: Amplitude
• ML/Platform Infra: TrueFoundry

What Success Looks Like

• Clear, enforced SLOs and error budgets across critical systems
• Incidents are well-managed, rare, and decrease over time
• Engineers have high-confidence signals about system health
• Alerts are actionable, not noisy
• Systems scale predictably under load without degradation
• Postmortems lead to real, measurable improvements
• Reliability is treated as a shared engineering responsibility, not a reactive function

Ideal Background

• 5+ years in Site Reliability Engineering, SRE-adjacent roles, or production infrastructure
• Strong experience operating and debugging distributed systems in production
• Hands-on experience with:
• Observability tooling (Datadog, Grafana, OpenTelemetry, etc.)
• Incident response and on-call practices
• Performance and reliability debugging
• Experience defining and working with SLOs / SLIs / error budgets
• Familiarity with:
• AWS environments
• Serverless and container-based architectures
• Postgres or similar relational databases
• Ability to write code/scripts (Python, Bash, etc.) for automation and tooling
• Strong systems thinking and ability to reason about failure modes

Nice to Have

• Experience in high-growth or high-scale environments
• Background in regulated industries (healthcare, fintech)
• Experience with ClickHouse or analytical systems at scale
• Familiarity with chaos engineering or load testing frameworks
• Exposure to ML infrastructure or data platforms

Benefits

Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options.

Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact.

Opportunities for growth through partnerships with experienced, high-performing leaders across the organization.

Flexible work environment with the option to work remotely or in the new downtown San Francisco office.