Senior Full Stack Engineer

About the role

You'll drive modernization within Workforce Solutions as we build best-in-class solutions to serve our customers' HR management and employment needs. As a visionary full stack engineer, 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 GitHub Copilot and Gemini to accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms. 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'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, GitHub Copilot, Claude) 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.
• Drive a data/metrics-driven mindset with an extreme focus on optimizing and creating efficient solutions.
• Create and maintain up-to-date technical documentation, including support, end-user documentation, and runbooks.
• 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 with 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, Firestore) databases.

Skills

• 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, or Playwright.
• Self-starter who identifies and responds to priority shifts with minimal supervision.
• Demonstrated problem-solving skills and the ability to resolve conflicts.
• Experience working in a highly regulated environment.