
Open since Jun 2026
Site Reliability Engineer
AI Summary
Maintains and optimizes production systems for availability and performance, leads incident response and postmortems, builds observability and CI/CD automation, and tunes distributed actor-based systems and PostgreSQL.
About this role
As a Site Reliability Engineer, you will be responsible for: Operational Excellence & Incident Management
- Maintain and monitor production systems for availability, latency, and performance.
- Lead incident response efforts, including communication, resolution, and postmortem documentation.
- Design and implement health checks, alerting systems, and automated remediation workflows.
- Drive root cause analysis and implement permanent resolutions for recurring issues.
Observability & Insights
- Set up and maintain full observability stacks (logging, metrics, tracing) using tools like Prometheus, Grafana, Datadog, OpenTelemetry, or ELK.
- Analyze telemetry and logs to identify trends, anomalies, and opportunities for improvement.
- Conduct post-incident reviews and use insights to inform future engineering investments.
Performance & Systems Optimization
- Tune and optimize distributed systems, including AKKA.NET actors, for performance and resource efficiency.
- Work with developers to evolve architecture and improve system throughput, latency, and stability.
- Optimize PostgreSQL performance, queries, and maintenance strategies.
CI/CD & Automation
- Design and maintain modern CI/CD pipelines using GitHub Actions, Azure Pipelines, or GitLab CI.
- Automate deployment, testing, and rollback processes to reduce friction and increase deployment frequency.
- Standardize infrastructure as code practices across environments.
We’d love to talk to you if you have:
- 5+ years of experience in SRE, DevOps, or Infrastructure Engineering roles.
- Expertise in Kubernetes and container orchestration at scale.
- Strong experience with AKKA.NET or similar actor-based frameworks.
- Proficiency with scripting and automation (Bash, PowerShell, Python).
- Experience with observability tools (Phobos,Datadog, Prometheus, Grafana, OpenTelemetry, ELK).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Strong PostgreSQL knowledge—performance tuning, query optimization, maintenance.
- Proven ability to lead incident management and drive postmortem processes.
- A builder’s mindset with high standards for operational excellence and technical ownership.
Preferred Tools & Ecosystem Experience
- CI/CD: GitHub Actions, Azure Pipelines, GitLab CI
- Infrastructure: Kubernetes, Docker, Terraform
- Monitoring: Phobos (AKKA.NET), Datadog, Prometheus
- Source Control: GitHub, GitLab, Azure DevOps
- Programming: C#, Python, Bash, PowerShell
Skills
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