Senior Site Reliability Engineer (SRE)

AI overview

Lead reliability initiatives and improve platform performance by mentoring engineering teams and enhancing cloud-native infrastructure.

As a Senior SRE at Salla, you will lead reliability initiatives, handle complex incidents, improve platform performance, and guide engineering teams toward building resilient systems. You will also participate in the on-call rotation as part of our commitment to platform reliability.

Reliability & Incident Management

  • Lead high-severity incident response and drive post-incident reviews.
  • Troubleshoot complex issues across applications, infrastructure, and networks.
  • Improve MTTR through better monitoring, alerts, and diagnostic tooling.
  • Participate in the on-call rotation supporting production systems.

Performance & Scalability

  • Identify and resolve performance bottlenecks and scaling challenges.
  • Conduct load testing and capacity planning for high-traffic scenarios.

Infrastructure & Operations

  • Enhance cloud-native infrastructure, deployment processes, and automation.
  • Improve resilience, fault-tolerance, and recovery mechanisms across systems.

Observability

  • Build and refine dashboards, alerts, metrics, logs, and traces.
  • Define SLIs/SLOs and improve visibility into system behavior.

Tooling & Automation

  • Develop tools that reduce operational toil and increase reliability.
  • Contribute to infrastructure-as-code, CI/CD pipelines, and GitOps workflows.

Collaboration

  • Work closely with engineering teams to ensure services are robust and production-ready.
  • Mentor engineers on reliability, debugging, and operational best practices.

Bonus Skills

  • Background in large-scale, high-traffic systems.
  • Experience with fault-tolerant design, DR, and HA patterns.
  • Familiarity with SLOs, SLIs, and error budgets.

Location Preference

  • Candidates located within GMT 0 to +6 time zones are preferred to align with team collaboration and on-call coverage.

Requirements

  • Strong experience with Kubernetes, service mesh technologies, and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of Linux, networking, distributed systems, and load balancing.
  • Hands-on experience with Terraform or similar Infrastructure-as-Code tools.
  • Experience with observability platforms such as Prometheus, Grafana, Loki, Mimir, Elastic, or equivalent.
  • Proficiency in scripting or programming languages such as Bash, Python, or Go.
  • Experience with CI/CD pipelines and GitOps practices.
  • Strong debugging, incident response, and performance analysis skills.

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