The
Sr. Full Stack Software Engineer (Job Code-TEC032 / GL-28) (Vue.js / Java Spring Boot / Python) is responsible for designing, building, and maintaining secure, scalable web applications and AI-enabled platform capabilities that support our cybersecurity products and services. This role spans frontend and backend development, with a focus on building intuitive, high-performance user interfaces using Vue.js, robust APIs and backend services using Spring Boot and Python, and scalable cloud-native solutions deployed in Azure environments.
This role operates at the intersection of frontend engineering, backend services, cloud infrastructure, cybersecurity, and applied AI development. The Sr. Full Stack Software Engineer partners closely with product managers, security specialists, DevOps engineers, and other cross-functional team members to deliver reliable, observable, and secure end-to-end solutions supporting complex cybersecurity workflows, intelligent automation, and AI-assisted user experiences.
The role also includes contributing to AI-powered product features leveraging large language models (LLMs), semantic search, retrieval-augmented generation (RAG), vector indexing, and contextual retrieval technologies. The engineer will help design and implement services and pipelines supporting document ingestion, embeddings, intelligent search, and AI-driven workflows integrated into customer-facing applications.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:Key Accountabilities:- Design, implement, and maintain end-to-end features across the frontend (Vue.js) and backend services (Spring Boot and Python)
- Build secure, responsive, and user-friendly interfaces that visualize complex cybersecurity data and workflows
- Develop and maintain RESTful APIs, business logic, and data access layers using Spring Boot, Python services, and ORM frameworks
- Design and implement AI-powered product features leveraging large language models (LLMs), semantic search, retrieval-augmented generation (RAG), and intelligent workflow automation
- Build and maintain data ingestion, indexing, embedding, and retrieval pipelines to support AI-driven search and contextual experiences
- Develop Python-based services and workflows for AI orchestration, document processing, data transformation, and automation
- Integrate third-party and cloud-based AI services (e.g., Azure OpenAI, vector databases, embedding services) into customer-facing applications
- Model and manage relational database schemas and entity relationships to support product requirements
- Leverage Azure cloud services to deploy and operate full stack applications with a focus on reliability, performance, security, and scalability
- Apply secure coding practices across the stack, addressing common web and API vulnerabilities (e.g., OWASP Top 10)
- Contribute to and follow CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for building, test, and deployment of frontend and backend components
- Participate in code reviews and design discussions, ensuring quality, maintainability, and alignment with architectural standards
- Troubleshoot and resolve issues across the stack, focusing on root cause analysis and long-term improvements
- Collaborate with cross-functional teams to translate requirements into technical designs and implementations
Core Responsibilities:- Frontend:
- Implement UI components, pages, and workflows using Vue.js (Options or Composition API)
- Manage client-side state and routing (Vue Router) for complex single-page applications
- Ensure responsive design, accessibility, and cross-browser compatibility
- Integrate frontend with backend APIs, handling data transformation, error states, and loading behaviors
- Write and maintain frontend unit and integration tests
- Backend:
- Design and implement RESTful services and APIs with Java/Spring Boot and Python
- Develop Python services and workflows supporting AI orchestration, document ingestion, embedding generation, vector indexing, semantic retrieval, and prompt orchestration
- Integrate with LLM platforms, vector databases, and search technologies to enable AI-assisted product capabilities
- Implement data models, schema migrations, and queries for relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Use ORM frameworks (e.g., JPA/Hibernate) to manage entity relationships, transactions, and performance
- Integrate with external systems and services via APIs, messaging, or event-driven patterns where appropriate
- Implement robust error handling, validation, and logging to support observability and incident response
- Platform, CI/CD, and Operations:
- Contribute to CI/CD workflows using GitHub Actions or Azure DevOps (build, test, lint, security checks, deploy)
- Collaborate to configure and run services on Azure (e.g., App Service, containers/AKS, Azure SQL, Key Vault)
- Support monitoring and observability across the stack (logging, metrics, tracing)
- Support deployment and monitoring of AI-enabled services, including observability for LLM usage, retrieval quality, latency, and operational cost
- Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5+ years of professional software engineering experience, with meaningful hands-on work across frontend and backend development
- 3+ years of proven experience building production-grade user interfaces with Vue.js and modern JavaScript/TypeScript, HTML, and CSS
- 3+ year of hands-on experience with Java and Spring Boot for building RESTful APIs and backend services
- 3+ years of experience with Python for backend development, automation, AI-enabled services, data processing, or workflow orchestration
- 3+ years of experience with ORM frameworks (e.g., JPA/Hibernate) and relational database design, including schemas, relationships, indexing, and query optimization
- 3+ years of experience designing and integrating RESTful and JSON-based APIs across distributed systems
- 3+ years of experience deploying and operating applications in Azure or another major cloud provider
- 3+ years of experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps), including automated build, testing, security scanning, and deployment workflows
- 3+ years of experience with secure web and API development practices and common vulnerabilities (e.g., OWASP Top 10)
- 3+ years of experience with automated testing practices across frontend and backend systems
- 3+ years of experience working in agile environments (Scrum or Kanban) with cross-functional product teams
- 3+ years of experience with debugging, analytical, and problem-solving skills, with the ability to own features and services end-to-end
- 1+ years of experience building or integrating AI-powered application features using technologies such as large language models (LLMs), semantic search, embeddings, vector databases, or retrieval-augmented generation (RAG) architectures
- 1+ years of experience with Python AI/ML frameworks and tooling such as FastAPI, LangChain, Llama Index, or any other similar technologies
Preferred Qualifications: - Experience working in cybersecurity, security operations, threat intelligence, compliance, or related security-focused domains
- Experience building or supporting cybersecurity products such as threat detection dashboards, incident management platforms, SOC tooling, or security analytics applications
- Hands-on experience with Azure services such as App Service, Azure SQL Database, Azure Key Vault, Azure Monitor, Azure OpenAI, or Azure Kubernetes Service (AKS)
- Experience integrating with OpenAI, Azure OpenAI, or similar AI/LLM platforms
- Familiarity with AI application concepts such as prompt engineering, retrieval-augmented generation (RAG), hallucination mitigation, AI observability, and vector search architectures
- Experience with design systems or reusable frontend component libraries
- Familiarity with messaging or streaming technologies (e.g., Kafka, RabbitMQ, Azure Service Bus)
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Exposure to authentication and authorization patterns in full stack applications (OAuth2/OIDC, JWT, SSO, RBAC)
- Experience with observability, monitoring, and performance tuning across frontend and backend systems (profiling, metrics, logging, tracing)
- Familiarity with infrastructure-as-code concepts and tools, specifically Terraform
- Demonstrates ownership of features and services from design through deployment and ongoing support
- Communicates clearly about technical decisions, trade-offs, and risks with both technical and non-technical stakeholders
- Collaborates effectively with frontend, backend, DevOps, security, and product teammates
- Pays close attention to usability, reliability, performance, and security in implementation and operations
- Shows a continuous learning mindset, particularly around security, cloud technologies, and full stack best practices
- Open to feedback, willing to provide constructive feedback to others, and focused on improving team and product outcomes
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
