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. If you are passionate about solving complex problems and working in a high-performing team, we want to hear from you.
What You’ll Do
- 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 a 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
What Experience You Need
- 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, 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.
What Could Set You Apart
- Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.
- You are 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 (e.g. HTML, JavaScript, Typescript, React, Angular and Bootstrap)
- Experience with backend technologies such as Jave SpringBoot, and Microservices architecture and design
- Relational databases (e.g. Spanner DB, Alloy DB, Firestore, Postgres DB, SQL Server, MySQL)
- Experience in automated testing with tools like JUnit, Mockito, Celenium, Jasmine, Playwright etc
- Self-starter that identifies/responds to priority shifts with minimal supervision.
- Demonstrated problem solving skills and the ability to resolve conflicts
- Working in a highly regulated environment