Description

Must-Have Technical Skills:

•  7–10 years of experience in DevOps, Cloud Engineering, Platform Engineering, DataOps, or related roles
• Strong hands-on experience supporting cloud-native applications in AWS environments
• Strong experience with AWS services including ECS/Fargate, Lambda, IAM, S3, CloudWatch, API Gateway, Redshift, Glue, Neptune, and VPC networking
• Experience with Infrastructure-as-Code using Terraform
• Strong experience with Docker and containerized application deployments
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, and/or Codefresh
• Strong coding and automation experience, preferably in Python • Experience with Linux administration and shell scripting
• Experience supporting modern application platforms, APIs, and production deployments • Experience supporting DataOps workflows and production data pipelines
• Experience working in regulated or HIPAA-adjacent environments handling PHI-sensitive infrastructure
• Strong hands-on experience with AWS and Terraform.
• Data Platform and Frontend Deployment Experience
• Experience with Identity & Access Management (Okta, OIDC/JWT, RBAC).
• Strong programming/scripting skills in Python, Go, or similar languages.
• Experience with CI/CD systems and production release management.

Responsibilities:

• Design, implement, and maintain scalable AWS cloud infrastructure and cloud-native platforms
• Support and operate cloud-native software applications running on containerized and serverless platforms
• Build and manage CI/CD pipelines for application, infrastructure, and data platform deployments
• Support DataOps workflows including orchestration, ingestion, transformation, monitoring, and reliability
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code practices
• Develop automation scripts and operational tooling using Python and shell scripting
• Manage observability, logging, alerting, and operational monitoring across distributed systems
• Implement secure access controls, IAM policies, secrets management, and governance best practices
• Support AWS data platform services including Redshift, Glue, Neptune, and APIs
• Participate in troubleshooting, incident response, root cause analysis, and production support
• Collaborate closely with distributed engineering teams across US and India
• Participate in architecture discussions and mentor engineers on platform engineering best practices.

Nice to Have:

• Experience with ECS/Fargate, ALB, Route53, IAM, SSM Parameter Store, Secrets Manager, CloudWatch.
• Work on cutting-edge Cloud, Data, AI, and Platform Engineering initiatives
• Experience with API Gateway or reverse proxy architectures

Key Skills

Education

Bachelor's degree