Senior Cloud DevOps Engineer

About the Role Immediate Joiners Only : Start Date - Oct 15

Revmind AI Labs is a boutique deep-tech AI company building production-grade AI and software systems for enterprise customers, especially in pharma and CPG. We build tailored AI solutions, analytics platforms, dashboards, data workflows, AI/LLM-powered systems, and enterprise-ready applications that move from idea to production.

Revmind AI Labs is looking to fill the role of a Senior Cloud DevOps Engineer, working as a Forward Deployed Engineer (FDE) embedded with a Fortune 20 healthcare client. In this role, you will be deployed with the client's team, responsible for developing, running, and continuously refining a modern, cost-effective, secure, and scalable cloud platform that supports the client's analytics and AI needs.

Primary Job Function

The Senior Cloud DevOps Engineer will own the design, deployment, and reliability of Revmind's AWS cloud platform — including infrastructure automation, containerized and serverless workloads, observability, and security — while ensuring stable, scalable infrastructure for data science, AI, and enterprise product development.

Core Job Responsibilities

• Design, deploy, and manage secure, scalable AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation).

• Build and maintain CI/CD pipelines and automation scripts (Python, Bash) to streamline deployment and reduce manual effort.

• Implement containerized workloads (Docker) and serverless architectures (AWS Lambda) to support platform and analytics needs.

• Establish and enforce code quality and testing standards across pipelines using tools such as SonarQube.

• Establish observability (logging, metrics, tracing, alerting), monitor platform performance, and troubleshoot production incidents with root cause analysis.

• Implement security best practices, compliance controls, and infrastructure hardening aligned with Information Security and Data Privacy principles.

• Collaborate with Development teams (front end, backend), AI Engineering, and business stakeholders to deliver AI and Analytics solutions on time.

• Define, document, and drive continuous improvement of cloud platform best practices and processes.

Requirements

Minimum Experience

• 4+ years deploying and managing solutions on AWS, with strong hands-on experience in Terraform, CloudFormation, and CI/CD (Github Actions or similar).

• Proficiency in Python and Bash for automation; working knowledge of JavaScript, Scala, or Java.

• Experience with containerization (Docker) and serverless architecture (AWS Lambda).