Site Reliability Engineer
ConfidentialIndia30+ days ago
Job descriptionBuild automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI, etc.) . Develop custom monitoring / alerting integrations with APIs, SDKs, and third-party observability platforms. Implement self-healing and resilience-focused automation scripts. 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. Build and maintain CI / CD pipelines for automated deployments (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline). Integrate observability frameworks (Prometheus, Grafana, ELK / EFK, CloudWatch, Datadog) for monitoring and tracing. Ensure proactive alerting and real-time visibility into system health. Apply AWS security best practices for IAM, networking, and data protection. Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.). 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). 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 . 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. 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.
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 Responsibilities
Cloud Engineering (AWS) :
- 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 :
Chaos Engineering & Resiliency :
DevOps & Observability :
Security & Compliance :
Required Skills & Qualifications
Preferred Skills
What We Offer
Skills Required
Elk, Cloudformation, Prometheus, Grafana, Datadog, Jenkins, Cloudwatch, Terraform, Docker, Flask, AWS CodePipeline, FastAPI, Kubernetes, Python, Aws
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Site Reliability Engineer • India
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