SDE III - DevOps

Responsibilities:

• Own the reliability, scalability, and performance of production systems and services.
• Design and implement highly available, fault-tolerant, and distributed infrastructure.
• Define and drive observability strategy, including monitoring, logging, and alerting.
• Build and maintain scalable CI/CD pipelines to enable fast and reliable deployments.
• Automate infrastructure provisioning and operational workflows using IaC tools.
• Lead incident management and root cause analysis (RCA) and implement preventive measures.
• Define and track SLIs, SLOs, and SLAs aligned with business and product requirements.
• Collaborate closely with engineering teams to improve system design, deployment processes, and operational excellence.
• Optimize cloud infrastructure for cost, performance, and efficiency.
• Own and improve on-call processes; mentor engineers in handling production incidents.
• Drive best practices for security, networking, and infrastructure reliability.
• Participate in architecture and design reviews to ensure system resilience and scalability.
• Document system architecture, runbooks, and operational processes.

Requirements:

• 5-8+ years of experience in DevOps, SRE, or cloud engineering roles.
• Proven experience building software using Python, Go, Rust, or JavaScript, with strong scripting capabilities.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• Expertise in Infrastructure as Code tools like Terraform, Ansible, or CloudFormation.
• Strong experience with containerization (Docker) and orchestration (Kubernetes).
• Solid understanding of Linux systems, networking concepts, and security best practices (IAM, VPNs, firewalls).
• Experience with monitoring and observability tools like Prometheus, Grafana, ELK Stack, New Relic, or Datadog.
• Proven experience in building and maintaining CI/CD pipelines (CircleCI, ArgoCD, Jenkins, GitHub Actions, GitLab CI, etc. ).
• Deep hands-on experience owning cloud security end-to-end.
• Strong debugging and troubleshooting skills for complex production systems.
• Comfortable operating in fast-moving engineering environments, balancing long-term infrastructure investment with immediate operational needs.
• Experience owning and continuously improving on-call processes - including rotation design, escalation policies, runbook culture, and post-incident review cadence.

Nice to Have:

• Experience with large-scale distributed systems and microservices architecture.
• Experience building and running operators on Kubernetes / knowledge of internals.
• Hands-on experience with cost optimization and capacity planning in cloud environments.
• Experience mentoring engineers and driving engineering best practices.
• Prior involvement in architectural reviews and cross-team technical decision-making.
• Strong understanding of compliance, security standards, and DevSecOps practices.
• Experience building internal developer platforms or self-service infrastructure tools.
• Development exposure: Experience contributing to backend services or application code (e. g., APIs, microservices) with strong software engineering fundamentals.
• MLOps experience: Familiarity with deploying, monitoring, and managing ML models in production, including tools like ML pipelines, model versioning, and data workflows.