
Cloud Resilience Architect
2 weeks ago
Job Title: Cloud Resilience Architect
">Role Overview:We are seeking a skilled cloud architect to design, build, and validate resilient cloud-native environments using AWS.
This role requires expertise in cloud engineering, DevOps, and chaos experimentation to improve system reliability, fault tolerance, and operational efficiency.
Key Responsibilities:- 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 (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.
- Design and execute chaos experiments 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.
- Build and maintain CI/CD pipelines for automated deployments using 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.
- Apply AWS security best practices for IAM, networking, and data protection.
- Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.).
- 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 using Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection.
- Solid knowledge of IaC (Terraform / CloudFormation).
- Proficiency in containers & orchestration using Docker, Kubernetes, and 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.
- 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.
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