Senior Full Stack Engineer St. Louis, MO
This position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers.
About the role
We are seeking a visionary full stack engineer to join our technology transformation initiative. In this role, you will work in a talented team designing and deploying cutting-edge, cloud-native solutions. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the Google Cloud Platform.
This role requires a deep understanding of both front-end and back-end technologies, combined with in-depth knowledge and experience of cloud infrastructure, containerization, microservices architecture, and the agentic AI framework. You're not just a coder; you're an architect, a lead, a mentor, and a key driver of the team's technical vision.
Responsibilities
- Design and deliver robust cloud-native solutions for complex business problems using standard SDLC methodologies.
- Develop scalable APIs and microservices using Java Spring Boot, Python, Node.js, and other modern frameworks on public cloud infrastructure (GCP and AWS).
- Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, GitHub Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring & observability practices.
- Build, manage, and work with a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.
- Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) best practices.
- Collaborate with product managers, architects, SREs, and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions.
- Lead troubleshooting efforts to resolve production and customer issues, demonstrating deep technical expertise and problem-solving skills.
- Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery.
- Lead with a data/metrics-driven mindset with an extreme focus on optimizing and creating efficient solutions.
- Drive up-to-date technical documentation including support, end-user documentation, and runbooks.
- Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision.
Requirements
- Bachelor's degree or equivalent experience.
- 5-7 years of professional experience in software development, with a strong portfolio of building and shipping full-stack applications.
- Front-End Expertise: Proficiency in modern JavaScript frameworks such as React, Angular, or Vue.js, along with a strong command of HTML5, CSS3, and TypeScript.
- Back-End Expertise: Deep knowledge and experience of back-end programming languages like Node.js, Python, Go, or Java, and experience building RESTful APIs and microservices.
- Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (Google Cloud, AWS, or Azure).
- Containerization: Experience using Docker for containerizing applications and Kubernetes for orchestration.
- Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
- CI/CD Tools: Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.
- Database Knowledge: Strong experience with both SQL (e.g., Spanner DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, and Firestore) databases.
Qualifications
- Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.
- Adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features.
- Experience creating and deploying AI agents to production environments.
- Proficiency with Atlassian tooling (JIRA, Confluence), source control (GitHub), and build tools (Maven, Gradle).
- Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences.
- UI development experience (e.g., HTML, JavaScript, TypeScript, React, Angular, and Bootstrap).
- Experience with backend technologies such as Java Spring Boot and microservices architecture and design.
- Relational databases (e.g., Spanner DB, Alloy DB, Firestore, PostgreSQL, SQL Server, MySQL).
- Experience in automated testing with tools like JUnit, Mockito, Selenium, Jasmine, Playwright, etc.
- Self-starter that identifies/responds to priority shifts with minimal supervision.
- Demonstrated problem-solving skills and the ability to resolve conflicts.
- Experience working in a highly regulated environment.
Location: St. Louis, Missouri