Optum - DevOps Engineer - IAC Terraform

Description :

We are seeking a DevOps Engineer with strong experience in cloud infrastructure, automation, and CI/CD, along with hands on exposure to React frontend applications and Python/PySpark-based data or backend workloads. The ideal candidate will support end to end application and data pipeline deployments in a scalable and reliable environment.

Key Responsibilities :

- Design, implement, and maintain CI/CD pipelines for React, Python, and PySpark applications

- Deploy and manage React frontend applications and Python/PySpark backend or data processing jobs

- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools

- Manage and optimize cloud infrastructure (AWS / Azure / GCP)

- Build, deploy, and manage containerized applications using Docker and Kubernetes

- Support data pipelines and batch/stream processing using PySpark

- Ensure system reliability, scalability, performance, and security

- Implement monitoring, logging, and alerting solutions

- Troubleshoot deployment and production issues across environments

- Collaborate with development and data engineering teams

- Apply DevSecOps best practices across pipelines and infrastructure

- Document architecture, deployment processes, and operational runbooks

Required Skills & Qualifications :

- Bachelors or advanced Degree in a related technical field

- 5 to 8+ years of experience in DevOps / Infrastructure Engineering

- Strong experience with cloud platforms (AWS preferred; Azure/GCP acceptable)

- Hands?on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)

- Experience with Docker and Kubernetes

- Proficiency in Python for automation and backend support

- Hands?on experience with PySpark for data processing or analytics workloads

- Working knowledge of React application build and deployment processes

- Experience with Infrastructure as Code (Terraform, CloudFormation, ARM)

- Strong scripting skills (Bash, Python)

- Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Datadog, etc.)

Preferred Qualifications :

- Experience with big data platforms (EMR, Databricks, Spark on Kubernetes)

- Knowledge of microservices architecture

- Experience with DevSecOps and security scanning tools

- Familiarity with data orchestration tools (Airflow, Step Functions)

- Cloud certifications (AWS / Azure / GCP)

- Experience working in Agile/Scrum environments

Soft Skills :

- Strong communication and collaboration skills

- Ability to work across DevOps, frontend, backend, and data teams

- Ownership mindset and proactive problem's olving attitude