Site reliability engineer

4 days ago

India Xebia Full time

We are looking for a highly skilled AWS Engineer with strong Python development and Chaos Engineering expertise to design, build, and validate resilient, scalable, and automated cloud-native environments. The ideal candidate will combine cloud engineering, Dev Ops, and chaos experimentation to improve reliability, fault tolerance, and operational efficiency of critical systems. Key Responsibilities Cloud Engineering (AWS): Architect, implement, and manage secure, scalable, and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, Cloud Front, etc.). Automate infrastructure provisioning and configuration using Terraform / Cloud Formation and AWS SDKs. Manage containerized workloads (Docker, Kubernetes, EKS). Python Development: Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, Fast API, etc.). Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms. Implement self-healing and resilience-focused automation scripts. Chaos Engineering & Resiliency: Design and execute chaos experiments (fault injection, latency, outages, resource failures) to validate system resilience. Use tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator . Partner with SRE and development teams to define SLIs, SLOs, and error budgets . Document learnings from chaos tests and improve incident response & recovery playbooks. Dev Ops & Observability: Build and maintain CI/CD pipelines for automated deployments (Jenkins, Git Hub Actions, Git Lab CI, AWS Code Pipeline). Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, Cloud Watch, Datadog) for monitoring and tracing. Ensure proactive alerting and real-time visibility into system health. Security & Compliance: Apply AWS security best practices for IAM, networking, and data protection. Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.). Required Skills & Qualifications 6–10 years of experience in Cloud, Dev Ops, or SRE roles. Strong hands-on expertise in AWS Cloud (certifications preferred: AWS Dev Ops Engineer / Solutions Architect). Advanced Python development skills for automation and tooling (Boto3 a must). Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection). Solid knowledge of Ia C (Terraform / Cloud Formation). Proficiency in containers & orchestration (Docker, Kubernetes, EKS). Strong background in monitoring, observability, and incident management . Familiarity with Dev Ops toolchain (CI/CD, Git, Jenkins, Git Lab, Code Pipeline). Good understanding of resilient architectures, reliability principles, and disaster recovery . Preferred Skills Knowledge of Go / Shell scripting in addition to Python. Experience with chaos testing in production-like environments . Exposure to multi-cloud or hybrid-cloud environments . Strong problem-solving and debugging skills. What We Offer Opportunity to lead cloud reliability & chaos engineering initiatives . Culture focused on automation, resilience, and continuous improvement . Growth opportunities through certifications, R& D projects, and leadership roles.

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