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Senior Engineer AI / Cloud @ EXL

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 Senior Engineer AI / Cloud

Job Description

Essential

  1. Strong hands on experience in Python development
  2. Experience deploying applications on AWS or equivalent cloud platforms
  3. Solid understanding of CI/CD, DevSecOps, and modern engineering practices
  4. Experience working with AI / ML or GenAI solutions (LLMs, APIs, model integration)
  5. Ability to translate AI prototypes into production ready solutions
  6. Experience working in regulated or risk sensitive environments.
  7. Hands on experience with AWS and cloud native technologies, including EC2, ECS, ALB, S3, AWS CLI, Docker, Kubernetes, and Artifactory, along with strong experience in GitHub, Jira, and GitHub Actions based CI/CD pipelines for build and deployment automation.
  • Master s/or bachelor s degree in engineering, Computer Science, Data, or a related discipline
  • Relevant cloud or AI certifications are advantageous (AWS, AI/ML, GenAI)

Desirable

  1. Experience with AWS cloud as part of DHP platform or similar enterprise deployment platforms
  2. Knowledge of containerisation (Docker) and orchestration (Kubernetes / EKS)
  3. Exposure to agentic AI or AI driven automation
  4. Understanding of technology risk, controls, and assurance frameworks
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: Site Reliability Engineer
Employement Type: Full time

Contact Details:

Company: EXL
Location(s): Pune

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Keyskills:   Automation github orchestration technology risk Cloud JIRA AWS Python

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EXL

https://iqexl.com/