Job
Description
We are seeking a talented AWS DevOps Engineer to join our growing team. The ideal candidate will be pivotal in designing, developing, and deploying robust applications leveraging AWS cloud technologies. Job Title: AWS DevOps Engineer Required Experience: 1-3 years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech(CE,IT,EC,EEE) or PG: MCA/MSC IT Responsibilities: Hands-on experience with AWS Services Proficiency in Serverless Micro Service Architecture. Experience with build management and continuous integration tools and processes. Knowledge of Cloudformation and Terraform with module-based coding. Proficient with A WS services such as IAM, VPC, EC2, RDS Databases, cloud front, ECR, ECS, EKS, lambda, Code Build, Code Commit, Cloud trail, and Cloud Watch Services Capable of creating all AWS Resources/Services/Filters via code. Monitoring various platform capacity and health indicators and providing analytics forecasts for added or reduced capacity as required. Hands-on experience configuring build and CI/CD management tools like Jenkins and Github Action Proficiency in building artifacts using Maven, Gradle, npm, etc. Hands-on experience in Cloud-based Infrastructure (AWS) management, mandatory experience in the mentioned cloud. Proficiency in Docker, preferably experience with other container management tools like AWS ECS, EKS, Kubernetes, etc. Working experience with Git and GitHub. Requirements: Proven experience as a DevOps Engineer with a focus on AWS. Strong expertise in designing and implementing CI/CD pipelines using DevOps. Knowledge of security best practices and the ability to implement them in the AWS environment. Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed system. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional team Scripting experience in Bash, or Python. Strong analytical and problem-solving skills with a learning mindset. Hands-on experience with logging and troubleshooting deployment pipelines. Good to have AWS certifications like AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, AWS Certified Cloud Practitioner Understanding of AI/ML concepts. Knowledge of logging and monitoring tools (ELK and Grafana) Knowledge of sonarqube
