Role Purpose The AWS DevOps Engineer is responsible for designing, building, securing and operating the AWS cloud platform that supports enterprise applications, data products and AI/ML work-loads. The role ensures that infrastructure is reliable, scalable, compliant, cost-effective and delivered through automated, repeatable engineering practices.

Key Responsibilities

- Design, provision and maintain secure AWS infrastructure for non-production and production using Infrastructure as Code (Terraform), including EKS, ECS/Fargate, Lambda, S3, RDS/Aurora, DynamoDB and supporting services.

- Build and operate the EKS platform, including EKS cluster administration, CPU/GPU node groups, Kubernetes RBAC, autoscaling, ingress, container image access and cluster upgrades.

- Support AI/ML model-serving workloads (Sagemaker Jumpstart, etc) by managing GPU capacity and quotas, model-serving containers, model artefact storage, endpoint health, performance monitoring and cost-efficient scaling.

- Implement and manage secure AWS networking and enterprise integrations, including VPCs, private subnets, security groups, VPC endpoints, internal ALBs/API Gateway, controlled egress and Azure AD/SSO integration.

- Develop and maintain CI/CD pipelines integrated with GitLab for infrastructure and application deployments; integrate approved engineering controls including code quality/security scanning such as Sonar, container vulnerability scanning, automated promotion and rollback processes.

- Implement AWS security, audit and compliance controls, including least-privilege IAM roles, KMS encryption, Secrets Manager, S3 public-access prevention, CloudTrail logging, mandatory resource tagging, vulnerability remediation and policy-compliant configuration.

- Establish reliable AWS operations and FinOps practices: monitoring and alerting, incident response and runbooks,



backup and restore testing, Multi-AZ resilience, RPO/RTO support, budget alerts, cost reporting, and optimization of GPU, compute and storage utilization.

- Collaborate with product and engineering teams to improve platform usability, deployment reliability and operational maturity.

Required Skills and Qualifications

- Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.

- 5+ years of experience in designing, building, securing and operating cloud platforms like AWS.

- Proficiency in programming languages such as Python

- Robust hands-on experience designing and operating production workloads on AWS.

- Proven experience with Terraform and Infrastructure as Code practices, including reusable modules, state management and environment promotion.

- Deep practical knowledge of Kubernetes and Amazon EKS, including networking, RBAC, node groups, autoscaling, ingress controllers, upgrades and troubleshooting.

- Experience with container technologies, Docker, ECS/Fargate and container registries.

- Experience operating AI/ML inference or model-serving workloads, preferably involving Amazon SageMaker, GPU-enabled infrastructure or high-performance compute workloads.

- Strong knowledge of AWS networking and security: VPC, subnets, route tables, security groups, private connectivity, endpoints, IAM, KMS, Secrets Manager, CloudTrail and AWS security best practices.





- Experience implementing CI/CD pipelines using GitLab CI/CD, with integrated code-quality, security and container-vulnerability scanning.

- Familiarity with observability tooling, logging, monitoring, alerting, incident response and root-cause analysis.

- Practical understanding of backup, disaster recovery, Multi-AZ architecture, high availability, RPO/RTO and service continuity.

- Experience with cloud cost management and FinOps principles.

- Strong scripting and automation capability, preferably with Python, Bash or similar.

- Ability to work across application, security, data/AI and enterprise infrastructure teams, translating technical requirements into robust platform solutions.

- AWS certifications, such as AWS Certified DevOps Engineer - Professional, Solutions Architect - Professional or Security Specialty, are desirable.

Critical success factors & key challenges

- Demonstrates strong hands-on ownership of AWS platform engineering, with the ability to move from solution design through implementation, troubleshooting and operational support.

- Brings practical depth in Terraform, Kubernetes/EKS and GitLab CI/CD, rather than only conceptual or administrative exposure.

- Applies a security-by-design mindset, embedding least-privilege access, encryption, secrets handling, logging, tagging and compliance controls into engineering solutions from the outset.

- Can translate application, AI/ML and business requirements into secure, scalable and supportable cloud-platform patterns.

- Collaborates effectively with application engineering, data/AI, cybersecurity, architecture and support teams, communicating clearly with both technical and non-technical stakeholders.

- Problem solving and decision-making skills Teamwork, team management and leadership skill

📌 AWS DevOps Engineer (Pune)
🏢 Prithvi Technologies
📍 Pune