Senior Site Reliability Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer based in India.

This is a senior engineering role focused on building and operating highly available, resilient distributed systems at global scale.
You will architect reliability solutions across multi-region microservices, APIs, and authentication infrastructure running on AWS and GCP.
The role combines hands-on engineering with technical leadership across observability, disaster recovery, Kubernetes, and infrastructure automation.
You will help define reliability standards, including SLIs, SLOs, error budgets, and high-availability objectives.
You will also lead major incident response and turn production learnings into lasting systemic improvements.
Beyond reliability, you will drive cloud cost optimization, automation, and AI-assisted engineering practices.
This is an opportunity to mentor engineers, shape platform architecture, and raise the technical bar in a fast-moving, remote-first environment.

• Architect, scale, and continuously improve the reliability, availability, and performance of multi-region microservices, APIs, and authentication infrastructure across AWS and GCP.

• Design and maintain disaster recovery and business continuity strategies, including multi-region failover automation, recovery dashboards, and validation processes aligned with defined RTO and RPO targets.

• Establish and enforce SLI, SLO, and error-budget frameworks across engineering teams to improve reliability and accountability.

• Lead the observability strategy using platforms such as Datadog, with actionable Golden Signals monitoring designed to reduce MTTD, MTTR, and alert fatigue.

• Lead on-call escalation and major incident management, ensuring rapid response to production issues and strong adherence to availability objectives.

• Facilitate blameless post-incident reviews and drive root-cause remediation to prevent recurring failures.

• Architect and operate production Kubernetes environments, including EKS/GKE, networking, RBAC, ingress/egress, and GitOps workflows using tools such as Argo CD and Kargo.

• Design and maintain modular, enterprise-grade Terraform infrastructure across complex multi-account and multi-region cloud environments.

• Build FinOps dashboards and cost-optimization initiatives covering resource utilization, right-sizing, cost allocation, and multi-cloud spend visibility.

• Develop production-grade Python or Go tooling, automation, integrations, and platform capabilities to eliminate operational toil.

• Champion AI-assisted engineering tools to accelerate automation, runbook creation, incident triage, and engineering productivity.

• Create operational runbooks and architecture documentation while mentoring junior and mid-level engineers and contributing to technical standards.

Requirements

• 8+ years of professional experience in Site Reliability Engineering, DevOps, Platform Engineering, or software engineering supporting 24/7 mission-critical distributed systems.

• Bachelor’s degree in Computer Science, Software Engineering, or a comparable technical discipline, or equivalent professional experience.

• Advanced Python or Go development skills, with experience building internal SRE platforms, automation tools, and API integrations.

• Deep hands-on Kubernetes expertise, including production EKS/GKE environments, cluster lifecycle management, networking, RBAC, ingress/egress, and GitOps tooling such as Argo CD.

• Strong Terraform expertise, including module architecture, state management, refactoring, and infrastructure deployment across multi-account AWS environments.

• Strong AWS and/or GCP expertise, including services and concepts such as IAM, VPC, Transit Gateway, ALB/NLB, Route53, and cloud networking.

• Proven experience designing and testing multi-region disaster recovery architectures, automating failover, and monitoring recovery health.

• Strong knowledge of SLI/SLO frameworks, production observability, PagerDuty, monitoring strategy, and reliability engineering practices.

• Experience designing and operating enterprise service meshes such as Istio or Linkerd and production ingress/proxy technologies such as HAProxy or NGINX.

• Demonstrated FinOps and cloud cost-optimization experience, including right-sizing, cost allocation, workload optimization, and financial visibility.

• Experience with technical leadership, architectural discussions, RFCs/design documentation, and mentoring engineering peers.

• Strong troubleshooting, communication, collaboration, and problem-solving skills, with the ability to work effectively on complex distributed systems.

• Fluency in written and spoken English and the ability to collaborate with global teams.

• Willingness and ability to participate in an on-call rotation and respond during assigned shifts.

• Preferred experience includes chaos engineering, secrets management tools such as Vault or AWS Secrets Manager, DevSecOps practices, automated infrastructure vulnerability remediation, and identity or IAM-focused platforms.

Benefits

• Fully remote work from India.

• Remote-first working environment with collaboration across global teams.

• Opportunity to work on highly available, mission-critical distributed systems at significant scale.

• Exposure to modern cloud, Kubernetes, GitOps, Infrastructure-as-Code, observability, FinOps, and AI-assisted engineering technologies.

• High level of technical ownership and autonomy in a fast-moving SaaS environment.

• Opportunities to influence architecture, engineering practices, and reliability standards.

• Technical mentorship and career development opportunities.

• Collaborative culture that values connection, innovation, continuous improvement, and ambitious problem-solving.

• Equal-opportunity workplace committed to an inclusive and diverse workforce.

• Full-time employment with participation in an on-call rotation as part of the engineering role.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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