Principal Software Engineer - Bigdata

Posted 2 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads the architecture and development of scalable Big Data pipelines and agentic AI systems. Establishes technical vision, cloud and application security standards, and enterprise architecture practices. Drives secure, reliable, high-performance production platforms, evaluates emerging technologies, mentors engineers, collaborates cross-functionally, and owns complex initiatives from architecture through deployment and optimization.
Summary Generated by Built In
Requisition Number: 2377948
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:
  • Architect, design, and lead the development of scalable, high-performance Big Data pipelines for large-scale data ingestion, processing, and analytics
  • Define and drive the technical vision and architecture for agentic AI systems, including the design of autonomous and multi-agent solutions
  • Provide deep technical leadership and set engineering best practices across data engineering and AI/agentic architecture domains
  • Design and implement secure-by-design solutions, embedding application security best practices across the software development lifecycle (secure coding, threat modeling, vulnerability management, and code reviews)
  • Establish and enforce cloud security standards, including identity and access management, data protection, encryption, secrets management, and secure network architecture
  • Ensure compliance with enterprise security policies, regulatory requirements, and industry standards across data platforms and agentic systems
  • Collaborate with product managers, data scientists, and engineering teams to translate business requirements into robust, production-ready technical solutions
  • Ensure the reliability, scalability, security, and performance of data platforms and agentic systems in production
  • Mentor and guide engineers, conducting design and code reviews to uphold high standards of technical quality
  • Evaluate emerging technologies in Big Data and Generative/Agentic AI, and drive their adoption to keep the platform at the forefront of innovation
  • Own end-to-end delivery of complex, cross-functional initiatives from architecture through deployment and ongoing optimization
  • 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:
  • 10+ years of experience in software engineering, with a strong focus on Big Data pipelines and large-scale distributed systems
  • 2+ years of hands-on experience in Generative AI (GenAI) and agentic/multi-agent architecture
  • Experience designing and implementing agentic AI architectures, including autonomous and multi-agent systems
  • Experience providing technical leadership, mentoring engineers, and driving architecture decisions
  • In-depth expertise in Big Data technologies and distributed data processing (e.g., Spark, Hadoop, Kafka)
  • Solid programming skills in languages such as Scala, Python, or Java
  • Solid understanding of enterprise architecture, infrastructure, and networking fundamentals
  • Deep knowledge of cloud platforms (e.g., Azure, AWS, or GCP) and cloud-native architecture
  • Demonstrated expertise in cloud security and application security best practices (secure coding, threat modeling, IAM, encryption, and vulnerability management)
  • Demonstrated solid problem-solving skills and the ability to design scalable, reliable, and high-performance systems
  • Demonstrated excellent collaboration and communication skills, with the ability to influence across cross-functional teams

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.

Skills Required

  • 10+ years of software engineering experience focused on Big Data pipelines and large-scale distributed systems
  • 2+ years of hands-on Generative AI and agentic or multi-agent architecture experience
  • Experience designing and implementing autonomous and multi-agent AI architectures
  • Experience providing technical leadership, mentoring engineers, and driving architecture decisions
  • In-depth expertise in Big Data technologies and distributed data processing, such as Spark, Hadoop, and Kafka
  • Solid programming skills in Scala, Python, or Java
  • Understanding of enterprise architecture, infrastructure, and networking fundamentals
  • Deep knowledge of Azure, AWS, or GCP and cloud-native architecture
  • Expertise in cloud security and application security, including secure coding, threat modeling, IAM, encryption, and vulnerability management
  • Strong problem-solving skills and ability to design scalable, reliable, high-performance systems
  • Excellent collaboration and communication skills with ability to influence cross-functional teams

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
  • Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
  • Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.

Optum Insights

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
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Houston, TX
Hyderabad, India
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Madison, WI
Minneapolis, MN
Nashville, TN
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Philadelphia, PA
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Washington, DC
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