Leading Cloud Reliability and Resilience Expert

Job Description

We are seeking a highly skilled Cloud Engineer 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:

• Architect, Implement and Manage Secure, Scalable and Cost-Efficient AWS Infrastructure: Design, deploy and manage secure, scalable and cost-efficient AWS infrastructure including EC2, Lambda, EKS, S3, RDS, IAM, CloudFront etc.
• Automate Infrastructure Provisioning and Configuration: Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
• Manage Containerized Workloads: Manage containerized workloads (Docker, Kubernetes, EKS).

Cloud Development and Automation

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

Chaos Engineering & Resiliency

• Design and Execute Chaos Experiments: 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: Use tools like Gremlin, Litmus, Chaos Mesh or AWS Fault Injection Simulator.
• Partner with SRE and Development Teams: Partner with SRE and development teams to define SLIs, SLOs and error budgets.
• Document Learnings from Chaos Tests: Document learnings from chaos tests and improve incident response and recovery playbooks.

DevOps & Observability

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

Security & Compliance

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