Senior DevOps Engineer - AWS Infrastructure

Responsibilities :

- Manage and lead a team of DevOps engineers, fostering a culture of collaboration, innovation, and continuous improvement.

- Oversee the design, implementation, and management of AWS cloud infrastructure to ensure scalability, reliability, and security.

- Develop and maintain Infrastructure as Code (IaC) using Terraform to automate infrastructure provisioning and configuration.

- Design, implement, and manage CI/CD pipelines to automate software builds, testing, and deployment processes.

- Implement and manage container orchestration solutions using Kubernetes (or AWS ECS/EKS) to ensure efficient resource utilization and application scalability.

- Implement CPU throttling, auto-scaling, and performance optimization strategies to ensure optimal performance of cloud-based applications.

- Develop and enforce security best practices and compliance standards, including ISO 27001, SOC2, and GDPR.

- Implement and manage observability tools and monitoring systems to proactively identify and resolve issues.

- Collaborate with cross-functional teams to ensure alignment of DevOps practices with business goals.

- Drive the adoption of MLOps frameworks and integrate ML pipelines into DevOps workflows to accelerate the delivery of machine learning solutions.

- Lead the implementation and maintenance of Information Security Management Systems (ISMS) in accordance with ISO 27001 standards.

- Conduct regular security risk assessments and implement mitigation strategies to protect organizational assets.

Qualifications :

- Proven experience managing AWS cloud infrastructure at scale, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation.

- Expertise in Terraform and Infrastructure as Code (IaC) principles.

- Strong background in CI/CD pipeline automation with tools like Jenkins, GitHub Actions, GitLab CI, or CircleCI.

- Hands-on experience with Docker and Kubernetes (or AWS ECS/EKS) for container orchestration.

- Experience in CPU throttling, auto-scaling, and performance optimization for cloud-based applications.

- Strong knowledge of Linux/Unix systems, shell scripting, and network configurations.

- Proven experience with ISO 27001 implementation, ISMS development, and security risk management.

- Familiarity with MLOps frameworks like Kubeflow, MLflow, or SageMaker, and integrating ML pipelines into DevOps workflows.

- Deep understanding of observability tools such as ELK Stack, Grafana, Prometheus, Datadog.

- Strong stakeholder management, communication, and ability to collaborate across teams.

- Experience in regulatory compliance, including SOC2, ISO 27001, and GDPR.