Site reliability engineer

5 days ago

Prayagraj, 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 ResponsibilitiesCloud 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 & Qualifications6–10 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 SkillsKnowledge 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 OfferOpportunity 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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