
Reliability Expert for Cloud-Native Solutions
9 hours ago
We are seeking a highly skilled Reliability Expert to play a critical role in designing, building, and validating resilient, scalable, and automated cloud-native environments.
The ideal candidate will have strong hands-on expertise in AWS Cloud, with certifications preferred: AWS DevOps Engineer / Solutions Architect.
Key Responsibilities- Cloud Engineering:
- Design and implement secure, scalable, and cost-efficient AWS infrastructure using EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.
- Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
- Manage containerized workloads with Docker, Kubernetes, and 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 to validate system resilience using 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 using Jenkins, GitHub Actions, GitLab CI, and AWS CodePipeline.
- Integrate observability frameworks like Prometheus, Grafana, ELK/EFK, CloudWatch, and 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 like SOC2, ISO, GDPR, etc.
- 6–10 years of experience in Cloud, DevOps, or SRE roles.
- Strong background in software development, preferably in Python.
- Familiarity with the DevOps toolchain including CI/CD, Git, Jenkins, GitLab, CodePipeline.
- Knowledge of Go / Shell scripting is a plus.
- Experience with containers and orchestration with Docker, Kubernetes, and EKS is essential.
- Solid understanding of infrastructure as code (IaC) using Terraform / CloudFormation.
- 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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