Site Reliability Engineer - 2

SRE-2

What You'll Do to Keep Our Engines Roaring

• Be a Reliability Champion

  : Take ownership of the reliability, performance, and efficiency of critical services.

• Automate, Automate, Automate

  : Design, develop, and implement robust automation solutions to eliminate toil, streamline operations, and improve system resilience.

• Battle Incidents (and Win)

  : Lead troubleshooting efforts for complex production incidents, perform in-depth root cause analysis, and implement sustainable preventative measures.

• Sculpt Our Infrastructure

  : Actively contribute to the design, implementation, and optimization of our cloud infrastructure on

  AWS and GCP

  , leveraging your expertise in technologies like Kubernetes.

• Enhance Observability

  : Implement and refine advanced monitoring, alerting, and logging solutions to gain deep insights into system behavior and predict potential issues.

• Collaborate for Success

  : Partner closely with development teams to influence architectural decisions, ensuring reliability, scalability, and security are built in from the start.

• Strengthen Our Security Posture

  : Implement and advocate for advanced security practices within our infrastructure and operational workflows.

• Drive Efficiency

  : Analyze and optimize cloud infrastructure spend, identifying and implementing cost-saving opportunities.

• Guide the Next Wave

  : Mentor and guide SRE-1 engineers, contributing to the growth and knowledge sharing within the team.

• Be Ready for Action

  : Participate in our on-call rotation, acting as a key point of escalation and resolution for critical issues.

What Makes You the Ideal Candidate

• 3-5 years of hands-on experience

  in Site Reliability Engineering, DevOps, or a similar role with a strong focus on production systems.
• Demonstrated expertise in

  Python or Go

  you have a proven track record of automating complex tasks.
• Strong command of

  AWS and/or GCP cloud platforms

  .
• In-depth experience with containerization and orchestration using

  Kubernetes (K8s, ArgoCD, Helm/Kustomize)

  .
• Experience with infrastructure as code tools like

  Terraform or Ansible

  is highly valued.
• Solid understanding and experience with

  monitoring and observability stacks

  (VictoriaMetrics, Prometheus, Grafana, ELK stack, etc.).
• Deep knowledge of

  Linux/Unix systems internals and advanced networking concepts

  .
• Proven ability to diagnose and resolve complex issues in large-scale distributed systems.
• A strong understanding of

  Cloud Security and Information Security principles and best practices

  .
• Experience with cloud cost analysis and optimization techniques.
• Familiarity with CI/CD pipelines and GitOps methodologies.
• Experience with messaging queues and distributed systems (Celery, Kafka) is a plus.
• Excellent communication, collaboration, and problem-solving skills.
• A desire to mentor and lead by example.