Senior Full Stack Engineer - St Louis MO

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 AI‑powered coding assistants like Git Hub Copilot, Gemini, and accelerating innovation to build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents on the Google Cloud Platform.

This role requires a deep understanding of both front‑end and back‑end technologies, combined with in‑depth knowledge of cloud infrastructure, containerization, microservices architecture, and the agentic AI framework. You are not just a coder; you are an architect, a lead, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and working in a high‑performing team, we want to hear from you.

• 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, Git Hub 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 (Dev Sec Ops , Fin Ops) 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 towards optimizing and creating efficient solutions.
• Drive up‑to‑date technical documentation including support, end‑user documentation and run books.
• Create and deliver technical presentations to internal and external technical and non‑technical stakeholders communicating with clarity and precision.
• Work in the office 3 days a week (Tuesday–Thursday).

• 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 strong command of HTML5, CSS3, and Type Script.
• 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 Cloud Formation to manage infrastructure programmatically.
• CI/CD tools:
  Experience with CI/CD tools such as Git Hub Actions, Jenkins, Git Lab CI.
• Database knowledge:
  Strong experience with both SQL (e.g., Spanner DB, Alloy DB, Postgre
  
  SQL, MySQL) and No
  
  SQL (e.g., Mongo
  
  DB, Dynamo
  
  DB, Firestore) databases.
• Strong expertise in Generative AI (GenAI), including hands‑on experience with models like Gemini, ChatGPT, Claude, or Llama.
• Experience creating and deploying AI agents to production environments.
• Proficiency with Atlassian tooling…