Senior AWS Platform Engineer (Cloud & Data Platforms) AWS Hybrid

Contractor Senior Platform Engineer (Cloud & Data Platforms)

Location Hyderabad, India (Hybrid minimum 3 days in office required)

Experience 7-10 Years

Employment Type Contract

Collaboration Expected to work across time zones with US-based teams

We are looking for a highly skilled Senior Platform Engineer (Cloud & Data Platforms) to support and scale our cloud-native application and data platform ecosystem. This role focuses on building secure, automated, and resilient

AWS infrastructure across cloud-native software applications, data platforms, CI/CD systems, and containerized workloads in regulated enterprise environments.

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

Required Skills & Experience

• 710 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 troubleshooting, operational, and communication skills

Preferred Qualifications

• Experience working with Kubernetes and Databricks environments
• Familiarity with monitoring, observability, and operational tooling
• Exposure to AI-first engineering workflows and developer productivity tooling
• Familiarity with SAST/SCA tooling such as Semgrep, Checkmarx, or CodeQL
• Experience with enterprise identity systems such as Okta and IAM Identity Center
• Experience with Azure and GCP cloud platforms will also be considered for strong candidates

What Were Looking For

• Strong ownership mindset and ability to work independently
• Passion for automation, reliability, security, and operational excellence
• Ability to collaborate effectively across application, platform, and data engineering teams
• Comfort operating in fast-moving enterprise cloud environments