DevOps Engineer

• Lead the design, implementation, and management of scalable, secure, and efficient AWS infrastructure. 

• Drive end-to-end AWS migration initiatives, ensuring seamless transition from legacy systems to modernized cloud solutions. 

• Collaborate with cross-functional teams to define and execute DevOps best practices, automation strategies, and CI/CD pipelines. 

• Architect and optimize system and application deployment strategies for high availability, fault tolerance, and performance. 

• Design and establish internal processes and workflows for efficient project delivery, ensuring streamlined collaboration between development, operations, and other teams. 

• Implement and manage containerization solutions using Kubernetes and Docker for application deployment and scalability. 

• Utilize CI/CD tools such as GitHub Actions, AWS CodeSuite, and CircleCI to automate the software delivery pipeline and ensure continuous integration and deployment. 

• Apply the AWS Well-Architected Framework principles to ensure reliable, secure, efficient, and cost-effective infrastructure. 

• Stay informed about the latest trends and advancements in the field of Data, ML, and AI, and leverage this knowledge to enhance our technical solutions. 

• Mentor and guide junior team members, fostering a culture of learning and knowledge sharing. 

Qualifications

• AWS Professional and specialty certifications a huge plus 

• Extensive hands-on experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, CloudFormation, EKS, ECS etc. 

• Proven track record of successful AWS migration and modernization projects. 

• Strong proficiency in DevOps practices and tools, with experience in Kubernetes, Docker, and CI/CD pipelines. 

• Familiarity with CI/CD tools like GitHub Actions, AWS CodeSuite, and CircleCI. 

• Solid understanding of infrastructure as code (IaC) principles and hands-on experience with related tools (e.g., Terraform, CloudFormation). 

• Experience with the AWS Well-Architected Framework and best practices. 

• Exposure to Data, Machine Learning, or AI technologies is a plus. 

• Strong problem-solving skills and ability to troubleshoot complex issues. 

• Excellent communication skills, both written and verbal.