
Cloud Architect
12 hours ago
As a seasoned professional, you will play a pivotal role in designing and implementing resilient, scalable, and automated cloud-native environments. The ideal candidate will combine expertise in cloud engineering, DevOps, and chaos experimentation to enhance system reliability and operational efficiency.
Key ResponsibilitiesCloud Engineering (AWS)- Design, implement, and manage 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 using Docker, Kubernetes, and EKS.
- Build automation scripts, deployment utilities, and infrastructure tooling using Python and Boto3.
- Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms.
- Implement self-healing and resilience-focused automation scripts.
- 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 and recovery playbooks.
- 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.
- Apply AWS security best practices for IAM, networking, and data protection.
- Ensure compliance with internal and external regulatory frameworks.
Required Skills & Qualifications:
- 6-10 years of experience in Cloud, DevOps, or SRE roles.
- Strong hands-on expertise in AWS Cloud with certifications preferred.
- Advanced Python development skills for automation and tooling.
- Experience designing and running chaos experiments.
- Solid knowledge of IaC using Terraform/CloudFormation.
- Proficiency in containers and orchestration using Docker, Kubernetes, and EKS.
- Strong background in monitoring, observability, and incident management.
- Familiarity with DevOps toolchain including CI/CD, Git, Jenkins, GitLab, and 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.
Opportunities for growth through certifications, R&D projects, and leadership roles are available for successful candidates.
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