Software Engineering Lead - Python - AI

Taleo; Gurugram District; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

UnitedHealth Group seeks an experienced Software Engineering Lead (Python, AI) to design, build, and maintain scalable backend services and distributed systems. You will lead architecture, drive DevOps and CI/CD initiatives, and collaborate with stakeholders to translate complex requirements into robust technical solutions.

You will guide API design, data pipelines, and event-driven architectures, while mentoring teams across disciplines and contributing to platform strategy and technical

Qualifications

• BS in CS, engineering, or related quantitative field.
• 4+ years in software engineering with backend and distributed systems focus.
• 3+ years Python development building scalable enterprise apps.
• Experience with DevOps: CI/CD, IaC, testing, monitoring.
• Experience with AI-assisted development tools, e.g., GitHub Copilot.
• RESTful APIs, asynchronous processing, backend integrations.
• Kubernetes, Docker, cloud container orchestration.
• Distributed systems, microservices, event-driven solutions.
• Agile software development with product/ops teams.
• Proven experience in designing, deploying, operating highly available systems.
• Knowledge of Java and modern software engineering practices.
• Cloud-native development using Azure, AWS, or GCP (Azure preferred).
• Strong problem-solving and troubleshooting for production systems.

Responsibilities

• Design, develop, test, and maintain scalable backend services and distributed systems using Python and cloud-native tech.
• Lead architecture and implementation of high-performance solutions for POI project.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Design and optimize APIs, data pipelines, and event-driven architectures for scalability and reliability.
• Drive engineering best practices across design, coding, testing, observability, and DevOps.
• Build and enhance CI/CD pipelines and DevOps processes for deployment efficiency and stability.
• Evaluate distributed computing patterns and cloud services to meet performance and resilience.
• Troubleshoot production issues and perform root-cause analysis with corrective actions.
• Contribute to technical roadmaps and platform strategy balancing business needs and tech debt.
• Collaborate with multi-disciplinary teams including infra, security, data engineering, operations.
• Create and maintain technical docs, diagrams, implementation guides, runbooks.
• Adhere to Agile/SAFe and enterprise governance; stay current with AI/ML trends.

Skills

Python

DevOps

Kubernetes

Docker

Cloud platforms

Azure

AWS

GCP

RESTful APIs

Agile / SAFe

GitHub Copilot

Education

Bachelor of Science in Computer Science or related field

Tools

Kubernetes

Docker

Azure

AWS

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Software Engineering Lead - Python - AI (2386608)

Software Engineering Lead - Python - AI - 2386608

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Design, develop, test, and maintain scalable backend services and distributed systems using Python and modern cloud-native technologies
• Lead the architecture and implementation of high-performance solutions that support the strategic objectives of the POI project
• Partner closely with business stakeholders, product owners, and architects to translate complex business requirements into robust technical solutions
• Design and optimize APIs, integrations, data processing pipelines, and event-driven architectures with a focus on scalability, reliability, and maintainability
• Drive engineering best practices across software design, coding standards, testing, observability, and operational excellence
• Build and enhance CI/CD pipelines and DevOps processes to improve deployment efficiency, system stability, and developer productivity
• Evaluate, select, and implement appropriate distributed computing patterns and cloud services to meet performance, availability, and resilience requirements
• Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable corrective and preventive actions
• Contribute to technical roadmaps, architectural decisions, and long-term platform strategy while balancing business priorities and technical debt
• Collaborate with engineering teams across multiple disciplines, including application development, infrastructure, security, data engineering, and operations
• Create and maintain technical documentation, architectural diagrams, implementation guides, and operational runbooks
• Adhere to Agile and SAFe methodologies, engineering governance standards, and enterprise service management processes
• Stay current with emerging technologies, distributed systems practices, cloud platforms, AI/ML innovations, and software engineering trends, applying them where they create measurable business value
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor of Science in Computer Science, Engineering, or related quantitative field
• 4+ years of experience in software engineering, with a solid focus on backend systems and distributed computing architectures
• 3+ years of hands-on Python development experience building scalable, secure, and maintainable enterprise applications
• Hands-on experience with DevOps practices, including CI/CD pipelines, Infrastructure as Code, automated testing, monitoring, and observability
• Hands-on experience with AI-assisted development tools and modern AI technologies, including GitHub Copilot and generative AI solutions
• Experience designing and developing RESTful APIs, asynchronous processing solutions, and backend integrations
• Experience with Kubernetes, Docker, and cloud container orchestration platforms
• Experience designing and implementing distributed systems, microservices architectures, and event-driven solutions
• Experience collaborating directly with business stakeholders to define requirements and deliver technical solutions that align with strategic objectives
• Experience working in Agile software development environments, collaborating closely with product, engineering, and operations teams
• Proven experience designing, deploying, and operating highly available, fault-tolerant, and scalable systems
• Working knowledge of Java and modern software engineering practices
• Expertise in cloud-native development and architecture using Azure, AWS, or GCP, with preference for Azure experience
• Demonstrated solid problem-solving, analytical, and troubleshooting skills with experience supporting business-critical production systems

Preferred Qualifications:

• Experience with large-scale distributed data processing, streaming platforms, or high-performance computing environments
• Experience with PostgreSQL, NoSQL databases, and data-intensive applications
• Experience within healthcare, pharmacy benefit management, or other regulated industries
• Experience mentoring engineers and providing technical leadership across cross-functional teams
• Experience with observability platforms, incident management, reliability engineering, and operational excellence practices
• Experience working in complex enterprise environments with multiple stakeholder groups and globally distributed teams
• Familiarity with architecture governance, solution design reviews, and enterprise architecture practices

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.