Senior Software Engineering Lead

Job Description

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, and operate secure cloud platform services and software that meet business requirements
- Lead a team of cloud platform engineers to ensure that technical solutions align with architectural principles, design patterns, and enterprise security requirements
- Create GitHub Actions and workflows for standardize CI/CD pipelines within UHG
- Ensure that pipelines are following best practices, documented and delivered in a scalable reusable manner
- Demonstrate innovation, streamline processes, and reduce technical debt by standardizing patterns
- Automate repetitive tasks (TOIL), monitor applications, simplify work practices, define metrics, and ensure the operational quality of applications
- Manage security controls at the platform level to enable secure, efficient, and policy-compliant operations
- Collaborate with multiple partner teams to communicate information security guidance and standards and reduce information security risks
- Provide coaching, mentoring, and leadership to the Cloud Platform team to improve their skills and knowledge
- AI User Responsibilities

- Uses GitHub Copilot to speed up the creation of boilerplate code

- Uses M365 Copilot to recap meetings and draft emails

- Uses a chat-based AI tool to debug code

- Uses GenAI to create sample test data or test cases

- Uses StoryCraft to streamline the creation of user stories

- AI Expectations:

- Will utilize AI tools and applications to perform tasks, make decisions and enhance their work and overall cloud migration velocity. Expected to use AI Powered software for data analysis, coding, and overall productivity

- 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
- 12+ years of experience as a software development engineer or equivalent hands-on experience producing code for production systems
- 8+ experience working with Public Cloud providers such as AWS, Azure, GCP, beyond basic IaaS functionality
- 6+ years of experience programming in at least one high-level language (Python, Golang, JavaScript, etc.)
- 6+ years of engineering experience in building infrastructure using code and repeatable designs (IaC)
- 5+ years of experience with containers and orchestration platforms, such as Kubernetes
- 5+ 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
- 4+ years of experience working with Agile team

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
- Knowledge of API design and lifecycle management (REST, etc.)
- Familiarity with inter-service messaging and stream discovery (SQS, Pub/Sub Kafka, etc.)
- Proficient in algorithms, data structures, object-oriented programming, and system design
- Proficiency in instrumentation, logging, and tracing tools (Prometheus, CloudWatch, Stack Driver, Azure Monitor, etc.)
- Proven expertise in data storage, caching, and optimization (SQL and NoSQL databases)
- Proven evidence-based approach to decision-making and problem-solving
- Proven design mindset with the ability to construct scalable, distributed services
- Proven excellent verbal, written and interpersonal communication skills

AI Expectation:

- Experience in using Tools like GitHub Copilot, Cursor, Windsurf/Amazon Code Whisperer etc.
- Hands on experience with API's like OpenAI, Google Gemini and Hugging face
- Familiarity with frameworks like Lang Chain, AutoGen and Microsoft Copilot Studio etc.
- Proficiency with AI-Assisted Development Tools
- Good understanding of LLMs and generative models
- Solid 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