Senior Cloud Infrastructure Specialist

Cloud Reliability Expert

We are seeking a seasoned AWS professional with extensive expertise in Python development and Chaos Engineering to design, build, and validate resilient cloud-native environments.

The ideal candidate will combine cloud engineering, DevOps, and chaos experimentation to enhance reliability, fault tolerance, and operational efficiency of critical systems.

Key Responsibilities:Cloud Engineering (AWS)

• Design and Implement Secure Infrastructure: Architect, implement, and manage secure, scalable, and cost-efficient AWS infrastructure using EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.
• Automate Infrastructure Provisioning: Use Terraform/CloudFormation and AWS SDKs to automate infrastructure provisioning and configuration.
• Containerized Workloads Management: Manage containerized workloads using Docker, Kubernetes, and EKS.

Python Development

• Automation Scripting: Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI, etc.).
• Monitoring and Alerting Integration: Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms.
• Resilience-Focused Automation: Implement self-healing and resilience-focused automation scripts.

Chaos Engineering & Resiliency

• Chaos Experimentation: Design and execute chaos experiments (fault injection, latency, outages, resource failures) to validate system resilience using tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
• SLIs, SLOs, and Error Budgets: Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
• Incident Response & Recovery: Document learnings from chaos tests and improve incident response & recovery playbooks.

DevOps & Observability

• CI/CD Pipeline Building: Build and maintain CI/CD pipelines for automated deployments using Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline.
• Observability Frameworks Integration: Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog) for monitoring and tracing.
• Proactive Alerting: Ensure proactive alerting and real-time visibility into system health.

Security & Compliance

• AWS Security Best Practices: Apply AWS security best practices for IAM, networking, and data protection.
• Regulatory Compliance: 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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