Senior Software Engineering Lead

Primary Responsibilities:

• Responsible for large and more complex components, while influencing overall Data architecture and patterns
• Implements component design in line with pre-defined team architectural patterns
• Creates design documents, for larger component work to gain alignment
• Delivers designs aligning to appropriate componentized architectures and integration patterns
• Can work autonomously
• Influences the team designs and solutions. Mentors software engineers through code reviews, and hands-on design sessions
• Code reviews are appropriately broken down in to reviewable chunks
• Contributes meaningfully to code reviews of teams work, providing collaborative guidance in areas of strength
• Continues to receive guidance in own code reviews primarily around solution refinement, rather than overall direction. Able to explain implementation decisions and push back appropriately
• Learns from feedback and applies to future deliverables
• Solves more complex problems
• API's / Data Structures/ Data Models/Algorithms/ Application Sequences are thoughtfully designed
• Solutions are well integrated, testable, maintainable and performant
• Appropriately leverages existing solutions and adapts for reuse
• Delivers solutions with the appropriate toolset (languages, algorithms, patterns and frameworks) for the constraints and conditions of the business, team and product
• Leaves code better than when they found it. #CampsiteRule
• Choose refactor opportunities to drive drive down tech debt, in alignment with sprint and program goals
• Incorporates automation in testing, build, and deployment processes to drive team efficiencies
• Introduces automation to replace repeated manual processes demonstrating measurable improvement
• Works with product management to ensure stories are well worded, have appropriate acceptance criteria and are sized appropriately
• Drives completion of deliverables that have dependencies on other people or teams ensuring an on time finish
• Unblocks the team when they're blocked Limits work in progress by shipping features / deploying product often
• Decomposes features into manageable stories/tasks
• Considers the user experience, business impact and solution objective when managing development and design of solutions
• Understands business/financial impact of stability and resiliency
• Understands the financial implications of software (cost and benefits for both engineering and operations)

Required Qualifications:

• Here is the Core Technical Skills
  • Leadership & Delivery
    • Agile methodologies (Scrum, Kanban, SAFe)
    • Stakeholder management and cross-functional collaboration
    • Enterprise application lifecycle ownership
    • Team mentoring, performance management, and delivery accountability
  • Cloud & Infrastructure
    • AWS
    • Infrastructure as Code (Terraform, CloudFormation)
    • Kubernetes, Docker, CI/CD (GitHub Actions, Jenkins)
  • Frontend Development:
    • React.js
    • Responsive UI design and performance optimization
  • Backend & API Development:
    • React.js, TypeScript
      • Performance tuning
  • Data Engineering & Analytics
    • ETL pipelines, Data Lakes, AWS Glue, Athena
    • SQL, NoSQL (DynamoDB, MongoDB)
    • Integration with BI tools (Power BI)
• Generative AI & LLMs
• Hands-on experience with LLM platforms: OpenAI (GPT), Anthropic (Claude), Google (Gemini)
• Experience in Vibe Coding & Rapid Prototyping
• Prompt engineering and optimization for task-specific outcomes (e.g., summarization, Q&A, code generation)
• Fine-tuning and customizing LLMs using frameworks like Transformers, LangChain
• Building LLM-powered applications: copilots, chatbots, semantic search
• Integration with vector databases for retrieval-augmented generation (RAG)
• Responsible AI practices: bias detection, explainability, safety guardrails.