Python and Snowflake

Senior Software Engineer I-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
  • Solid technical expertise in Python(backend development, APIs, Performance optimization) and Snowflake(query optimization).
  • Good understanding of SQL and Data Modelling concepts.
  • Familiarity with Kubernetes(basic development and scaling concepts).
  • 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
• Agile Delivery & Product Collaboration
  • Cross-team delivery in a scaled agile environment
  • Participate in PI planning and coordinate dependencies across teams
  • Awareness of scrum ceremonies including sprint planning, sprint review and retrospectives
• Collaboration & Continuous Improvement
  • Collaborate across cross-functional teams to deliver customer-centric solutions
  • Document systems, processes, and operational procedures using standard collaboration tools
  • Support demos, training sessions, and knowledge-sharing to drive platform adoption
  • Identify opportunities for process improvement and automation
• AI Awareness & Adoption
  • Leverage AI solutions to automate workflows and improve operational efficiency
  • Understand fundamentals of LLMs and generative AI - capabilities, limitations, and practical applications
  • 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 regard 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
• 8+ years of experience as a software development engineer or equivalent hands-on experience producing code for production systems
• 2+ experience working with Public Cloud providers such as AWS, Azure, GCP, beyond basic IaaS functionality
• 3+ years of experience programming in at least one high-level language (Python, Golang, JavaScript, etc.)
• 3+ years of engineering experience in building infrastructure using code and repeatable designs (IaC)
• 3+ years of experience with containers and orchestration platforms, such as Kubernetes
• 3+ years of 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
• 3+ years of experience leading / working with Agile team
• Desired AI Expectation:
  • Hands on experience with API's like OpenAI, Google Gemini and Hugging face
  • Experience in using Tools like GitHub Copilot, Cursor, Windsurf/Amazon Code Whisperer etc.
  • 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.
  • Working with Generative AI API's and Frameworks
  • Familiarity with frameworks like Lang Chain, AutoGen and Microsoft Copilot Studio etc.

Preferred Qualifications:

• 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
• Evidence-based approach to decision-making and problem-solving
• Design mindset with the ability to construct scalable, distributed services
• Proficient in algorithms, data structures, object-oriented programming, and system design
• Knowledge of API design and lifecycle management (REST, etc.)
• Expertise in data storage, caching, and optimization (SQL and NoSQL databases)
• Proficiency in instrumentation, logging, and tracing tools (Prometheus, CloudWatch, Stack Driver, Azure Monitor, etc.)
• Proven excellent verbal, written and interpersonal communication skills
• Knowledge of PostgreSQL and React