Senior Cloud Software Engineer

Role Description Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact, touching billions of lives in the process. Visit us at .

Summary UST is looking for a Senior Cloud Software Engineer with expertise in cloud platform engineering, cloud-native application development, Infrastructure as Code (IaC), automation-first operations, and AI-powered CloudOps. The role will be responsible for designing, developing, governing, and optimizing enterprise-scale AWS and Azure environments while driving intelligent automation, self-healing operations, and AI-enabled cloud solutions.

The Opportunity As a Senior Cloud Software Engineer, you will play a critical role in building cloud-native platforms, automation frameworks, AI-enabled operational tooling, and enterprise-scale infrastructure solutions. You will collaborate with cross-functional teams to deliver secure, scalable, resilient, and cost-efficient cloud services while enabling platform standardization and engineering excellence.

Key Roles & Responsibilities Cloud Software Development

• Design, develop, test, and maintain cloud-native services and internal platforms using Python (FastAPI, Django, Flask).
• Build secure, scalable RESTful and event-driven APIs leveraging Azure and AWS cloud services.
• Develop reusable libraries, frameworks, and shared services to standardize cloud consumption and accelerate delivery.
• Apply clean architecture, SOLID principles, and enterprise design patterns to create resilient and maintainable solutions.
• Design solutions with scalability, observability, security, resilience, and cost optimization as key requirements.
• Develop automation tooling and cloud services supporting large-scale Azure and AWS environments.

AI, Generative AI & Agentic Engineering

• Design and implement AI-enabled cloud services, intelligent automation solutions, and operational tooling.
• Build and integrate Generative AI solutions using RAG, embeddings, vector search, prompt engineering, and context management.
• Design and orchestrate AI agents and multi-agent workflows for cloud operations, remediation, and engineering activities.
• Integrate AI agents with enterprise systems using MCP, tool-calling, and function-calling patterns.
• Implement guardrails, evaluation frameworks, observability, token controls, and Responsible AI practices.
• Ensure compliance with AI governance, privacy requirements, prompt injection protection, and data security standards.

Intelligent CloudOps & AIOps

• Design and operate AI-driven CloudOps capabilities, including anomaly detection, predictive scaling, intelligent ing, and event correlation.
• Develop self-healing and automated remediation workflows to minimize manual intervention.
• Drive incident, problem, and change management improvements through automation and observability.
• Develop and maintain dashboards, monitoring solutions, and operational analytics frameworks.

Infrastructure as Code, DevOps & Automation

• Own the infrastructure lifecycle from design and deployment to optimization and decommissioning.
• Design and maintain Infrastructure-as-Code solutions using Terraform with modular and reusable standards.
• Implement governance controls, policy-as-code, and pre-deployment validation mechanisms.
• Build and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or GitLab.
• Implement DevSecOps practices including automated scanning, dependency management, and secrets management.
• Enforce engineering standards through code reviews, version control, and automated validation.

Agile Delivery

• Participate in sprint planning, stand-ups, retrospectives, and sprint reviews.
• Collaborate with Product Owners, Scrum Masters, architects, and engineering teams.
• Break down platform initiatives into user stories and backlog items with clear acceptance criteria.
• Support continuous improvement and iterative delivery practices.

Experience What you need:

• 6+ years of experience in Infrastructure Engineering, Cloud Engineering, or Cloud Development.
• Hands-on experience designing and operating enterprise-scale AWS and Azure environments.
• Experience delivering AI/ML, Generative AI, or AI-en…