Senior Platform Site Reliability Engineer (EKS and Python/Golang)

Drive Reliability, Automation & Scale:

• Design, build, and operate highly reliable, scalable infrastructure for a multi-tenant SaaS platform.

• Automate deployment, provisioning, and operational workflows across cloud infrastructure and applications.

• Develop internal tools, services, and frameworks to improve efficiency and reduce manual effort.

• Participate in a 24x7 follow-the-sun on-call rotation to support critical production systems.

Improve Platform & Infrastructure:

• Contribute to core platform systems by building features, resolving issues, and enhancing reliability.

• Partner with development teams to ensure systems meet availability, performance, and scalability requirements.

• Proactively identify risks, bottlenecks, and failure modes, and implement solutions before they impact customers.

Observability, Incident Management & Resilience:

• Build and maintain observability systems (metrics, logging, tracing, dashboards).

• Define and track Service Level Objectives (SLOs) and reliability metrics.

• Lead or contribute to incident response, root cause analysis, and blameless postmortems.

• Drive improvements toward self-healing systems and reduced operational toil.

Security & Identity:

• Design and support secure access patterns, including SSO, SAML, and OAuth-based authentication systems.

• Ensure platform services meet security and compliance standards.

Enablement & Collaboration:

• Collaborate across engineering teams, providing guidance, feedback, and hands-on contributions.

• Create and maintain documentation, runbooks, and training materials.

• Mentor engineers and promote best practices in reliability engineering and automation.

Infrastructure Development:

• 8–12 years of hands-on experience in Site Reliability Engineering (SRE), DevOps, Cloud Infrastructure, or a related platform engineering role, with a proven track record of designing, building, and operating highly available, scalable, and reliable production systems.

• Strong programming skills in Python or Go (Java/Spring Boot is a plus).

• Deep experience with AWS and building/operating production systems at scale.

• Hands-on expertise with Kubernetes (EKS), Docker, Helm, CNI, and Ingress networking.

• Strong understanding of Kubernetes primitives and patterns (deployments, services, operators, etc.).

• Experience with Infrastructure as Code (Terraform, Terragrunt, or similar).

• Solid understanding of Linux systems and networking fundamentals.

Observability & Operations:

• Experience with observability platforms such as Datadog, Prometheus, OpenTelemetry, or CloudWatch.

• Familiarity with incident management practices and production support in a microservices environment.

• Experience with messaging/streaming systems (e.g., Kafka, SQS) and relational databases (e.g., Aurora, RDS) is a plus.

Security & Identity:

• Working knowledge of SSO, SAML, OAuth, and identity providers (Okta is a plus).

• Experience with AWS IAM (roles, policies, IRSA), VPC security groups, and Kubernetes security primitives (RBAC, network policies, pod security standards, secrets management).

DevOps & Delivery:

• Experience with CI/CD and GitOps tools such as GitHub Actions, TeamCity, Jenkins, FluxCD, or Bitbucket.

• Comfortable working in agile environments (Scrum, Kanban).

Mindset & Collaboration:

• Strong troubleshooting and problem-solving skills with a proactive, systems-thinking mindset.

• Passion for automation: “If you have to do it more than once, automate it.”

• Excellent communication skills and ability to work across distributed teams.

• A collaborative team player who can influence, mentor, and lead through technical expertise.

• Demonstrated ability to leverage AI and data-driven insights to improve productivity and outcomes.

• Bachelor's degree in Computer Science or related field, or equivalent experience

• Experience supporting large-scale SaaS platforms

• AWS or Kubernetes certifications

• Exposure to modern platform frameworks such as KubeVela (OAM) or Crossplane

• Contributions to open-source projects

• Work on a mission-critical global platform used by leading P&C insurers worldwide

• Solve complex, real-world infrastructure problems at genuine scale

• Be part of a collaborative, high-impact engineering culture grounded in integrity, rationality, and collegiality

• Opportunity to shape the future of a rapidly evolving cloud platform

• A culture of curiosity and innovation where engineers are empowered to leverage AI and emerging technologies.