Job Summary

We are seeking a versatile and experienced Cloud Platform & DevOps Engineer to join our team. This is a high-impact, multi-faceted role that sits at the intersection of cloud infrastructure, DevOps automation, AI/ML systems support, and full-stack troubleshooting. The ideal candidate thrives in a fast-paced delivery environment, can wear multiple hats, and brings both the technical depth and communication skills to coordinate across product, engineering, and business stakeholders.

Responsibilities

Recent development & enhancements

- Lead CDK development and upkeep for new and existing AWS infrastructure
- Partner with the product team to plan and scope implementations across the entire software stack
- Identify and fill gaps in implementation that fall outside traditional software responsibilities reporting pipelines, data workflows, integrations, etc.
- Design and architect AWS infrastructure for new product capabilities and platform enhancements
- Serve as a technical bridge between product, engineering, and business translating requirements into executable delivery plans
- Drive focus and coordination across all moving parts to consistently deliver expected business value

AWS Infrastructure Operations

- Maintain and upkeep running applications hosted in AWS across multiple environments
- Clean up artifacts and system components to manage cost and reduce operational overhead
- Update CDK (Python) infrastructure code as application needs evolve
- Troubleshoot infrastructure issues and automation failures proactively and as they occur

Security & Compliance

- Collaborate with the security team to address outstanding security findings and items
- Support HiTrust compliance requirements and remediation activities
- Drive best practice recommendations throughout design and implementation

Release Management & Deployment





- Help coordinate and run releases with the product team on both daily and weekly cadences
- Build and deploy artifacts across Dev, UAT, and Production environments
- Develop and upkeep CI/CD systems across multiple products
- Coordinate cross-team dependencies for smooth, reliable deployments

AI/ML Systems Support - DocyAI Orchestration

- Provide systems support for the DocyAI orchestration platform used by the AI/Data Science team
- Maintain and troubleshoot integrations including AWS Textract, Bedrock, Jenkins, Python job scripts, Lambda functions, and Step Functions (state machines)

Monitoring, Documentation & Support

- Own monitoring and alerting configure notifications and respond to incidents
- Maintain up-to-date technical documentation in Confluence
- Troubleshoot application-side issues across the full stack
- Join team calls as needed when issues arise or additional technical perspective is required
- Help verify new features and functionality as time permits
- Other duties as assigned

Requirements

- 8+ years of experience in cloud infrastructure, platform engineering & DevOps architecture
- AWS Services (ECS, ECR, EC2, Lambda, S3, IAM, Route53, Step Functions, Textract, Bedrock, Secrets Manager, etc.)
- CDK (Python) infrastructure as code
- DevOps practices & CI/CD pipeline management
- Python scripting & automation
- Bash / Shell scripting (Linux-based EC2/Jenkins)
- Debian Linux administration
- Experience building and maintaining regulated distributed systems
- Experience building and maintaining regulated cloud-based systems
- Bitbucket / Git version control
- Multi-tenancy & SaaS architecture
- OCR processing (familiarity with Textract)

Disclaimer: 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.

📌 Cloud Platform & DevOps Engineer (Maharashtra)
🏢 aarete
📍 Maharashtra