Site Reliability Engineer

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, DevOps, and chaos experimentation to improve reliability, fault tolerance, and operational efficiency of critical systems.Key ResponsibilitiesCloud Engineering (AWS):- 6–10 years of experience in Cloud, DevOps, or SRE roles. Strong hands-on expertise in AWS Cloud (certifications preferred: AWS DevOps Engineer / Solutions Architect) Architect, implement, and manage secure, scalable, and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.).- Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.- Manage containerized workloads (Docker, Kubernetes, EKS).Python Development:- Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI, etc.). Advanced Python development skills for automation and tooling (Boto3 a must).- 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. Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection).- Partner with SRE and development teams to define SLIs, SLOs, and error budgets.- Document learnings from chaos tests and improve incident response & recovery playbooks.DevOps & Observability:- Build and maintain CI/CD pipelines for automated deployments (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline).- Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).- Proficiency in containers & orchestration (Docker, Kubernetes, EKS).- Good understanding of resilient architectures, reliability principles, and disaster recovery- Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog) for monitoring and tracing.- Ensure proactive alerting and real-time visibility into system health.- Strong background in monitoring, observability, and incident management.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- 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 IaC (Terraform / CloudFormation).- Proficiency in containers & orchestration (Docker, Kubernetes, EKS).- Strong background in monitoring, observability, and incident management.- Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).- 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.