About the role
As a Site Reliability Engineer (SRE), you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms.
Responsibilities
- Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi
- Reliability and Performance Engineering: Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services
- CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements
- Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default
- Agentic Tooling: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency
- Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages. Facilitate blameless post-mortems to identify root causes and implement permanent preventive engineering solutions
- Partner Cross-Functionally: Collaborate with Security, Engineering, and Support teams to deliver real business outcomes
Requirements
- Software Engineering Expertise: 5+ years of production-level experience with strong proficiency in Python (non-negotiable)
- Infrastructure as Code (IaC): Expert-level proficiency in Terraform (modules, state management) or Pulumi
- Cloud & Containers: Hands-on experience with AWS, Azure, or GCP, along with Kubernetes, Docker, and containerization concepts
- Observability Mindset: Deep understanding of observability pillars (logging, metrics, tracing) and experience with tools such as Datadog, Prometheus, or ELK
- Distributed Systems: Proficiency in running systems using concepts like Kafka or messaging queues
- CI/CD Proficiency: Advanced knowledge of GitHub Actions and GitHub Runners
- Independent Execution: Ability to take ownership of ambiguous projects, follow a vision set by tech leads, and execute independently with minimal guidance