AWS DevOps Engineer

We are seeking a highly skilled AWS Cloud Engineer with deep hands‑on experience across AWS cloud services and BAU Ops role. This role requires hands‑on Cloud Engineering expertise, Networking, AWS cloud migration experience, good communication skills, and product maintenance experience for post go‑live operational support.

Your core responsibilities include:

• Implement end‑to‑end AWS solutions across compute, networking, storage, and analytics, leveraging services such as Fargate, Bedrock, Redshift, ALBs, VPC networking, Neptune DB, and regional AWS deployments.
• Migration of existing AWS infra from Cloud Formation templates to Terraform.
• Migration of CHEF cookbooks to Ansible.
• Migration of Jenkins jobs to GitHub actions.
• Ensure robust operational standards across logging, security, monitoring, IAM governance, and distributed cloud reliability.

What skills are required?

• Degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Good architectural understanding of core AWS services, cloud networking, and distributed system design.
• Proven hands‑on experience in AWS, CHEF, API development, Ansible, GitHub actions and runners, and Terraform.

Essential skills:

• Strong experience with AWS data and AI ecosystem: Bedrock, Fargate, EFS, Redshift, Neptune, ALBs, VPC networking, CloudWatch, IAM, and regional deployment strategies including software’s such as CHEF, Ansible, Terraform, GitHub.
• Good understanding of cloud security, scalability patterns, and cost‑aware solution design.
• Confident communicator with excellent command of English, capable of influencing and leading client conversations.
• Working experience of ServiceNow, Jira, DataDog (or any other platform monitoring tool)

Good to have:

• Experience with vector databases, graph databases (Neptune), or graph exploration tools.
• Proven hands‑on experience in Python, API development, and automation.
• Hands‑on background with LLM integrations, GenAI solution architecture, and AI pipeline orchestration.
• Familiarity with orchestration tools, serverless design patterns, or container‑native workflows.
• Exposure to modern AI frameworks, LangGraph/LangChain concepts, and prompt engineering

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