Cloud Engineer

YOUR WORK ENVIRONMENT

At MAN India, we offer a state-of-the-art and modern work space. Our engineers work on the latest and advanced technologies in the automotive world with the latest hardware and software. We offer a conducive ecosystem for our engineers to learn and perform. Furthermore, the office space includes a spacious cafeteria, breakout areas, recreational facilities as well as space for conferences and meetings.

JOB PURPOSE/ROLE

As a member of our team you will have the following tasks:

Lead the overall architecture and delivery of cloud, data, AI, and enterprise solutions aligned with business goals. Set technical direction, standards, governance, and best practices, while managing risks and collaborating with business and technology teams

• Lead architecture and engineering of secure, scalable AWS platforms enabling data, enterprise applications, DevOps, AI and MLOps.
• Owns target architecture, standards, platform strategy, technical risk and production governance for complex cross-domain solutions.
• Design, build and operate scalable cloud-based data and application infrastructure as IaC; lead migration and modernization.
• Develop reliable AWS data platforms and cloud-native architectures for analytics, data engineering and enterprise applications.
• Define enterprise CI/CD, IaC, observability, resilience, secure supply-chain and platform-engineering standards.
• Architect governed AWS Bedrock and AI platforms covering access, retrieval, evaluation, guardrails and lifecycle controls.
• Define MLOps strategy and architecture for training, registry, deployment, monitoring, rollback, lineage and retirement.
• Ensure security, networking, IAM, monitoring, logging, reliability, performance, regulatory alignment and cost efficiency.
• Set technical standards, make architecture decisions, mentor engineers and align business, security and engineering stakeholders.

YOUR QUALIFICATIONS

Must Have

• Experience:  5 to 8 years 
• Qualification B.E./B.Tech/ M. Tech with relevant experience 
• AWS: IAM, VPC, EC2, S3, Lambda
• CloudWatch, CloudTrail, Glue, Athena, RDS
• Step Functions, Data Lake and Lake House
• Strong Python, AWS CDK and IaC architecture
• Advanced SQL and database design
• Enterprise CI/CD and policy-as-code
• AWS Well-Architected and FinOps
• AWS Bedrock, Responsible AI and MLOps
• AWS cloud security concept and architecture
• CI/CD automation and CDK framework
• Production rollout, operations and resilience
• Governed AI platform and enterprise MLOps

Software Skills

• AWS, DevOps, AI / MLOps, AWS Bedrock, CI/CD
•