Role description

Job Responsibilities

- Design, build, and support cloud-native platforms and services running on AWS.

- Manage and enhance AWS-based sandbox, data engineering, and AI/ML development environments.

- Develop automation solutions, platform utilities, APIs, and operational tooling using Python.

- Provision, maintain, and optimize cloud infrastructure using Infrastructure as Code (Terraform).

- Develop, troubleshoot, and optimize Spark/PySpark workloads running on AWS EMR. 6. Support data processing, analytics, and AI/ML workloads at scale.

- Build and maintain CI/CD pipelines to streamline deployments and platform operations.

- Collaborate with data engineers, AI engineers, architects, and product teams to deliver scalable and reliable solutions.

- Monitor platform health, troubleshoot production issues, and drive operational excellence.

- Evaluate and implement emerging cloud, AI, and automation technologies.

- Ensure adherence to security, governance, reliability, and cloud engineering best practices.

Required Qualifications

- Bachelor’s degree in computer science, Computer Engineering, Information Technology, or equivalent experience.

- 5-8 years of experience in cloud platform engineering, software development, infrastructure automation, or related technical roles.

- Strong hands-on experience with AWS services, including: EC2 S3 IAM VPC RDS/Aurora EMR CloudWatch Lambda ECS/EKS

- Strong Linux administration experience, including scripting, troubleshooting, networking, system performance monitoring, and operational support.

- Advanced Python development skills for automation, API development, platform tooling, and data processing.

- Strong Infrastructure as Code experience using Terraform to provision and manage AWS environments.

- 7.Hands-on experience developing, troubleshooting, and optimizing Apache Spark and PySpark workloads.

- Experience provisioning, configuring, operating,



and supporting AWS EMR clusters.

- Practical experience with AI/ML and Generative AI technologies, including: LLM-based applications AI Agents and Agentic Workflows MCP Servers and AI Tool Integrations Retrieval-Augmented Generation (RAG) Prompt Engineering and AI Automation Frameworks

- Experience with CI/CD tools such as Jenkins, GitHub, GitLab, Bitbucket, or similar platforms.

- Solid understanding of cloud security, access management, vulnerability remediation, and secure software development practices.

- Excellent analytical, problem-solving, troubleshooting, and communication skills.

Preferred Qualifications

- Experience with containerized platforms and orchestration technologies such as Docker, Kubernetes, and Amazon EKS.

- Experience designing and integrating REST APIs and microservices.

- Experience with monitoring, observability, and logging frameworks.

- Experience supporting JupyterHub, JupyterLab, or similar AI/ML and data science development environments.

- Familiarity with AI development tools such as GitHub Copilot, Amazon Q, Cursor, Claude Code, or equivalent AI-assisted engineering platforms.

- Experience building AI-enabled platforms, agentic workflows, or enterprise AI solutions.

- Knowledge of vector databases, embedding models, model gateways, and AI platform operations.

- AWS, Terraform, Kubernetes, or AI/ML certifications are a plus.

Skills

AWS,Python,Spark,scripting

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 Cloud Platform Engineer- AWS& Python (Hyderabad)
🏢 UST
📍 Hyderabad