Site Reliability Engineer

highly skilled AWS Engineer with strong Python development and Chaos Engineering expertise

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.