Senior Software Engineer |Python and Snowflake

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:

Full-Stack Development

Build user interfaces, server-side logic, databases, APIs, and deployment processes

Automate data extraction and processing workflows, converting unstructured data into actionable insights

Integrate with enterprise systems and third-party platforms as needed

Data Analysis

Write and optimize SQL queries in Snowflake for data processing, accuracy, and operational efficiency

Schedule the data ingestion jobs using any job scheduler

Translate complex data into clear visualizations and summaries for technical and non-technical audiences

CI/CD & Infrastructure

Integrate code quality and security controls into CI/CD pipelines using GitHub Actions

Support containerized application deployments using Kubernetes

Maintain consistency across development, testing, and production environments

Perform analysis, coding, testing, debugging, and documentation of software

Security & Compliance

Embed security best practices including access controls and secure application development

Support secrets management, certificate policies, and security initiatives

Assist in vulnerability assessment and remediation efforts

Application Lifecycle & Governance

Support application onboarding, lifecycle governance, and compliance visibility across enterprise platforms

Contribute to access control and license enforcement initiatives

Assist in defining release controls and deployment strategies

Track application health, adoption metrics, and stakeholder reporting accuracy

AI Awareness & Adoption

Leverage AI solutions to automate workflows and improve operational efficiency

Communicate AI concepts and results to stakeholders

Carry out technical risk analysis for AI-integrated systems

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Undergraduate degree or equivalent experience

4+ years of experience as a software development engineer or equivalent hands-on experience producing code for production systems

2+ years of experience programming in at least one high-level language (Python, Golang, JavaScript, etc.)

Experience in automating CI/CD using Jenkins [Pipeline as Code], GitHub actions, or similar tools, along with proficiency in source control systems such as Git

Good understanding of SQL and Data Modelling concepts

Understand fundamentals of LLMs and generative AI - capabilities, limitations, and practical applications

Familiarity with Kubernetes(basic development and scaling concepts)

Proven solid technical expertise in Python(backend development, APIs, Performance optimisation) and Snowflake(query optimisation)

Preferred Qualifications:

Any experience working with Public Cloud providers such as AWS, Azure, GCP, beyond basic IaaS functionality

Experience with containers and orchestration platforms, such as Kubernetes

Experience with Cloud Computing (AWS/Azure/GCP), DevOps tools and automation using Python or any other scripting language

Knowledge of API design and lifecycle management (REST, etc.)

Knowledge of PostgreSQL and React

Proficiency in instrumentation, logging, and tracing tools (Prometheus, CloudWatch, Stack Driver, Azure Monitor, etc.)

Proven evidence-based approach to decision-making and problem-solving

Proven expertise in data storage, caching, and optimization (SQL and NoSQL databases)

Proven excellent verbal, written and interpersonal communication skills

AI Expectation :

Understanding of LLMs and generative models

Conceptual grasp of what LLM's are how they work and different types of generative models(GPT, DALL-E, diffusion models)

Prompt Engineering

How to effectively create prompts to get desired output from generative models

Hands on experience with API's like OpenAI, Google Gemini and Hugging face

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.