Lead - AWS DevOps Engineer (Terraform)

Egen Solutions


Date: 1 day ago
City: Hyderabad
Contract type: Full time
Job Summary
We are looking for a Lead AWS DevOps Engineer with strong hands-on expertise in Terraform and AWS DevOps practices. The role involves designing, implementing, and managing AWS infrastructure using Infrastructure as Code, enabling CI/CD automation, and supporting serverless and API-driven architectures. The candidate is expected to be hands-on while also providing technical guidance and leadership

Key Responsibilities

    • Design, implement, and maintain AWS infrastructure using Terraform (Infrastructure as Code).
    • Develop reusable, modular, and scalable Terraform code for AWS resources.
    • Manage and operate core AWS services, including VPC, IAM, EC2, S3, RDS, ECS, Lambda, and API Gateway.
    • Design, deploy, and operate containerized workloads on Amazon ECS.
    • Build, manage, and optimize Docker images for application and platform workloads.
    • Develop, deploy, and integrate AWS Lambda functions using Python.
    • Design, publish, and manage APIs using Amazon API Gateway.
    • Build, maintain, and optimize CI/CD pipelines for infrastructure and application deployments.
    • Implement automated build, test, deployment, and rollback strategies for both serverless and container-based workloads.
    • Apply security best practices across AWS infrastructure (IAM, encryption, network security).
    • Support cost optimization initiatives and monitor cloud resource usage.
    • Design and support Disaster Recovery (DR) and backup strategies.
    • Troubleshoot and resolve complex AWS infrastructure, container, and pipeline issues.
    • Provide technical guidance and mentoring to DevOps and cloud engineers.
    • Collaborate with application, data, and platform teams to deliver end-to-end solutions.

Required Qualifications

    • 8–12+ years of experience in DevOps, cloud infrastructure, or platform engineering roles.
    • Strong hands-on experience with Terraform for AWS Infrastructure as Code.
    • Extensive hands-on experience with AWS, including ECS and core services.
    • Practical experience running containerized applications on Amazon ECS.
    • Familiarity with Docker, including image creation, optimization, and lifecycle management.
    • Experience developing AWS Lambda functions using Python.
    • Hands-on experience with Amazon API Gateway.
    • Strong experience designing and managing CI/CD pipelines.
    • Solid understanding of Git version control, branching strategies, and automation workflows.
    • Experience supporting production-grade AWS environments.
    • Strong problem-solving, troubleshooting, and analytical skills.
    • Good communication skills and ability to work effectively with cross-functional teams.

Preferred / Nice-to-Have Experience

    • Experience with AWS SageMaker and ML platform infrastructure.
    • Experience with Amazon OpenSearch.
    • Exposure to Factory DB or similar enterprise data platforms.
    • Experience with AWS Glue and data integration pipelines.
    • Knowledge of cloud cost optimization (FinOps) practices.
    • Experience designing and validating Disaster Recovery (DR) solutions.
    • Experience with advanced container orchestration patterns on ECS (e.g., autoscaling, blue/green deployments).
    • Experience with serverless and event-driven architectures at scale.

Certifications (Preferred)

    • AWS Certified DevOps Engineer – Professional
    • AWS Certified Solutions Architect – Professional or Associate
    • HashiCorp Certified: Terraform Associate
    • Relevant security or data-related AWS certifications

Education

    • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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