
Cloud Engineering Professional
6 days ago
We are seeking a skilled professional to design, build, and validate resilient, scalable, and automated cloud-native environments.
The ideal candidate will combine cloud engineering, DevOps, and experimentation expertise to improve reliability, fault tolerance, and operational efficiency of critical systems.
Key Responsibilities:- Cloud Architecture:
- Audit and optimize existing infrastructure for security, scalability, and cost-efficiency using AWS best practices.
- Implement and manage secure, scalable, and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.).
- Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
- 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.
- Experimentation & Resiliency:
- Design and execute experiments to validate system resilience using tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
- Partner with teams to define SLIs, SLOs, and error budgets.
- Document learnings from experiments and improve incident response & recovery playbooks.
- DevOps & Observability:
- Build and maintain CI/CD pipelines for automated deployments (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.
- Security & Compliance:
- Apply AWS security best practices for IAM, networking, and data protection.
- Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.).
Required Skills:
- 6–10 years of experience in Cloud, DevOps, or engineering 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 experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection).
- Solid knowledge of Infrastructure as Code (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 experimentation in production-like environments.
- Exposure to multi-cloud or hybrid-cloud environments.
- Strong problem-solving and debugging skills.
We Offer:
- Opportunity to lead cloud engineering initiatives.
- Culture focused on automation, resilience, and continuous improvement.
- Growth opportunities through certifications, R&D projects, and leadership roles.
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