Site Reliability Engineer

1 day 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, 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:

- Build 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.

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.

DevOps & Observability:

- 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.

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, 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.

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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