Senior DevOps Engineer - Cloud Infrastructure

Responsibilities :

- Design, deploy, and manage cloud infrastructure on AWS using best practices and modern tools, ensuring scalability, reliability, and security.

- Manage and optimize containerized applications using Kubernetes to maintain high availability and performance.

- Build, monitor, and enhance CI/CD pipelines to streamline development workflows and accelerate deployments.

- Continuously monitor system performance, troubleshoot issues, and implement optimizations to minimize downtime and improve efficiency.

- Implement security best practices, including IAM configurations, VPC design, and automated compliance checks, to safeguard infrastructure.

- Collaborate with cross-functional teams to provide infrastructure support and promote DevOps best practices across the organization.

- Mentor and guide junior team members, fostering their professional growth and ensuring knowledge-sharing across the team.

- Create and maintain detailed documentation for infrastructure architecture, deployment processes, and operational procedures.

Requirements :

- A minimum of 4 years of experience in DevOps or a similar role, with a strong background in cloud infrastructure and automation.

- Experience leveraging modern AI tools for efficiency and effectiveness.

- Strong experience with Security and SecOps, including proactive automated testing and monitoring.

- Extensive experience working with AWS, including services like EC2 S3 RDS, Lambda, and ECS.

- Proficiency in using Terraform for infrastructure as code, with a deep understanding of best practices for managing cloud resources.

- Expertise in managing Kubernetes clusters, including deployment, scaling, and maintenance of containerized applications.

- Strong programming and scripting skills in languages such as Python, Bash, or similar, to automate tasks and workflows.

- Hands-on experience with CI/CD tools like CircleCI, Jenkins, GitLab CI/CD, or AWS CodePipeline to streamline deployments.

- Familiarity with monitoring and logging tools such as DataDog, Prometheus, Grafana, or AWS CloudWatch to ensure system reliability.

- Experience driving projects focused on improving the security posture of cloud-native systems like AWS, including IAM, VPCs/Security Groups, IDS, SIEM, KMS, and tools like AWS GuardDuty.

- Deep expertise in secrets management lifecycle and tooling, with practical experience implementing best practices.

- Excellent communication and collaboration skills, with a proven ability to work effectively in cross-functional teams.

- Enthusiasm for working across cultures, functions, and time zones to drive alignment and deliver results.

- A passion for mentoring and supporting junior team members, fostering a culture of continuous learning and improvement.