AWS DevOps Engineer

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us... Role: AWS DevOps Engineer Location: Charlotte, NC Salary: Market Rate Job Description: We are seeking a highly skilled Senior DevOps Engineer with strong expertise in AWS cloud infrastructure automation databases and modern containerized environments The ideal candidate will have experience designing implementing and maintaining scalable secure and reliable systems while enabling fast and efficient development workflows You will work closely with development architecture and operations teams to build robust CICD pipelines automate infrastructure provisioning and ensure high availability of business critical applications Key Responsibilities: Design implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind Develop and maintain Infrastructure as Code IaC using Terraform Build manage and optimize Docker base images and containerized application stacks Orchestrate and maintain Kubernetes EKS clusters for production and staging environments Set up manage and optimize CICD pipelines in GitLab to support fast reliable deployments Manage MCP servers and ensure reliable operations for critical services Automate operational tasks and workflows using Python and JavaScript Support fullstack teams React Nodejs by providing containerized environments and deployment strategies Manage and optimize databases SQL PostgreSQL for performance security and scalability Integrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines Implement container image security scanning governance and lifecycle management Monitor system performance availability and cost implementing proactive improvements Ensure compliance with security and governance standards across cloud infrastructure and database layers Collaborate with developers and architects to improve application delivery scalability and resilience Required Skills Qualifications: 8 years of experience in DevOps Cloud Infrastructure Strong Handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch Kinesis MSK Proficiency in Terraform for infrastructure automation Expertise with Docker including base image creation and Kubernetes orchestration Strong scripting programming skills in Python and JavaScript Experience with GitLab CICD for pipelines automation and environment management Strong database experience with SQL and PostgreSQL setup scaling replication performance tuning Exposure to streaming architectures AWS Kinesis Kafka MSK or similar Experience supporting React based applications from a DevOps perspective Familiarity with MCP servers and containerized service deployments Knowledge of cloud cost optimization and security best practices Strong problem-solving troubleshooting and communication skills Preferred Qualifications AWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional Experience with monitoring observability tools Prometheus Grafana ELK Datadog Knowledge of networking load balancing and distributed system design Familiarity with Agile Scrum methodologies Skills Mandatory Skills : AWS Lambda, Docker, Python Good to Have Skills : Ansible, Git, Kubernetes LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.