DevOps Lead - AWS Cloud Services

Description :

Responsibilities :

Architecture & Strategy :

- Design, build, and evolve cloud infrastructure and DevOps solutions to support our SaaS products.

- Define and continuously improve standards for infrastructure, CI/CD pipelines, and operational processes.

- Lead the team in adopting modern practices like containerization, serverless computing, and Infrastructure as Code.

- Drive the roadmap for DevOps tooling, automation, and scalability improvements.

Hands?On Engineering :

- Build and maintain highly available, secure, and scalable cloud environments.

- Develop and integrate next?generation CI/CD pipelines, supporting automated deployments and testing.

- Implement configuration management, monitoring, alerting, and logging to ensure proactive issue detection.

- Optimize systems for performance, cost efficiency, and reliability.

- Troubleshoot and resolve complex infrastructure and deployment issues in real time.

Technical Leadership & Collaboration :

- Act as a technical lead and mentor for the DevOps teamreview designs, guide implementation, and share best practices.

- Work closely with engineering and product teams to support new features, releases, and operational improvements.

- Participate in sprint planning, stand?ups, and cross?team discussions to prioritize DevOps initiatives.

- Foster a culture of automation, reliability, and continuous improvement.

Requirements :

- Bachelors degree in Computer Science or related field.

- 6+ years of hands?on DevOps experience with AWS cloud.

- Proven experience leading or mentoring a DevOps team.

Deep technical expertise in :

- AWS services: EC2, VPC, S3, RDS, IAM, CloudWatch, CloudTrail, CloudFormation, Beanstalk, CloudFront, Route 53, Glacier, Lambda, EventBridge.

- Infrastructure as Code (IaC): Terraform, Ansible, CloudFormation.

- CI/CD tools: Jenkins, Git, automation pipelines.

- Linux administration and scripting: Bash, Python.

- Security and compliance: ITIL, NIST, SOC2.

- Monitoring and logging: Grafana, CloudWatch, log analysis.

- Messaging/queueing systems: SQS, SNS, RabbitMQ, SES.

- Experience with containerization and orchestration (Docker, Kubernetes/EKS).

- Experience with serverless architectures.

- Ability to design infrastructure from scratch and scale existing platforms.

- Strong problem's olving skills and adaptability to new technologies.