Site Reliability Engineer

Accountabilities

• Design, deploy, and maintain highly available, reliable, and performant production systems and APIs across AWS and GCP.

• Define and operationalize SLIs, SLOs, and error budgets in partnership with application engineering teams.

• Build and improve end-to-end observability across microservices and cloud infrastructure using Datadog or comparable monitoring platforms.

• Implement actionable monitoring around the Golden Signals—latency, traffic, errors, and saturation—to improve detection times and reduce unnecessary alerts.

• Participate in on-call rotations, incident response, troubleshooting, and blameless post-incident reviews, using incidents to drive systemic improvements.

• Manage production Kubernetes environments, including EKS clusters, container orchestration, and GitOps delivery workflows using tools such as Argo CD and Kargo.

• Provision, manage, and secure multi-cloud infrastructure using modular Terraform and Infrastructure-as-Code practices.

• Develop and maintain disaster recovery dashboards, runbooks, failover automation, and validation tests aligned with defined RTO and RPO targets.

• Build production-grade Python or Go automation tools and scripts to eliminate repetitive operational work and reduce engineering toil.

• Use AI-assisted development tools to accelerate scripting, runbook creation, troubleshooting, and incident triage.

• Monitor cloud infrastructure costs, support resource optimization, and improve cost visibility through appropriate allocation and FinOps practices.

• Configure and troubleshoot production service meshes and high-availability proxy solutions.

• Contribute to CI/CD, DevSecOps, resilience testing, secrets management, and other platform engineering initiatives where required.

• Proactively identify reliability, performance, security, and operational improvements across the production environment.

Requirements

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

• Strong hands-on programming skills in Python or Go, with experience building SRE tools, automation, scripts, and cloud integrations.

• Production experience operating Kubernetes clusters and containerized workloads, including experience with GitOps tools such as Argo CD.

• Strong Infrastructure-as-Code experience using Terraform, including writing, maintaining, and modularizing configurations.

• Direct experience operating cloud workloads on AWS or GCP, with knowledge of services such as EKS, IAM, VPC networking, Route 53, ALB/NLB, or comparable cloud infrastructure.

• Practical FinOps experience, including cost-allocation tagging, resource right-sizing, cloud cost analysis, or development of cost-visibility dashboards.

• Experience designing or operating disaster recovery solutions, conducting failover exercises, and monitoring recovery metrics.

• Strong observability and incident-management experience using Datadog or similar tools, PagerDuty, alerting systems, and SLI/SLO frameworks.

• Hands-on experience configuring and troubleshooting production service meshes such as Istio or equivalent technologies.

• Experience managing high-availability proxy solutions such as HAProxy, NGINX, or comparable platforms.

• Strong troubleshooting and problem-solving skills, with a demonstrated ability to improve operational efficiency through engineering and automation.

• Experience with CI/CD platforms such as GitHub Actions or GitLab Pipelines is preferred.

• Familiarity with chaos engineering or resilience testing in staging or production environments is a plus.

• Knowledge of secrets-management solutions such as HashiCorp Vault, AWS Secrets Manager, or External Secrets Operator is beneficial.

• Basic understanding of DevSecOps practices and Infrastructure-as-Code security scanning and remediation is preferred.

• Strong collaboration and communication skills, with the ability to work effectively across distributed engineering teams.

• Fluent written and spoken English, as the role involves working with global teams and conducting interviews and business communication primarily in English.

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

Benefits

• Fully remote position for candidates based in India.

• Opportunity to work on highly available, mission-critical cloud-native systems at scale.

• Hands-on exposure to AWS, GCP, Kubernetes, Terraform, GitOps, observability, and modern reliability engineering practices.

• Opportunity to use AI-assisted engineering tools to improve automation, incident response, and development productivity.

• Significant scope to influence platform resilience, operational maturity, disaster recovery, and engineering efficiency.

• Collaboration with experienced, globally distributed engineering teams.

• Fast-paced SaaS environment offering challenging technical problems and opportunities for continuous learning.

• Opportunity to contribute to reliability standards and engineering practices across distributed systems.

• Supportive environment that values collaboration, innovation, continuous improvement, and technical ownership.