As an Expert Full Stack Software Engineer, you will work on a Balanced Product Team, collaborating closely with Product Managers, Product Designers, Business Customers, and other engineers to deliver end-to-end solutions. You will be responsible for the architecture, development, and ongoing support of high-performing full stack applications.
Full Stack Development: Architect, design, and develop responsive, high-performance web applications using Angular on the front-end and robust APIs/microservices (Python/Java/Node) on the back-end.
Cloud Architecture (GCP): Leverage deep expertise in Google Cloud Platform to design scalable, secure, and resilient cloud-native solutions.
Product & Requirements Management: Participate in and lead the technical breakdown of requirements, features, user stories, and use cases. Actively participate in agile ceremonies.
Software Craftsmanship: Champion software best practices, including eXtreme Programming (XP), Test-Driven Development (TDD), paired programming, and clean code principles. Ensure code quality through automated testing and security scanning.
CI/CD & Operations: Build and maintain automated deployment pipelines (Infrastructure as Code). Generate metrics, manage access authorizations, and ensure smooth operational support.
Incident & Problem Management: Lead root cause analysis (RCA) and proactive problem management/defect prevention activities for your product portfolio.
Responsibilities
As an Expert Full Stack Software Engineer, you will work on a Balanced Product Team, collaborating closely with Product Managers, Product Designers, Business Customers, and other engineers to deliver end-to-end solutions. You will be responsible for the architecture, development, and ongoing support of high-performing full stack applications.
Full Stack Development: Architect, design, and develop responsive, high-performance web applications using Angular on the front-end and robust APIs/microservices (Python/Java/Node) on the back-end.
Cloud Architecture (GCP): Leverage deep expertise in Google Cloud Platform to design scalable, secure, and resilient cloud-native solutions.
Product & Requirements Management: Participate in and lead the technical breakdown of requirements, features, user stories, and use cases. Actively participate in agile ceremonies.
Software Craftsmanship: Champion software best practices, including eXtreme Programming (XP), Test-Driven Development (TDD), paired programming, and clean code principles. Ensure code quality through automated testing and security scanning.
CI/CD & Operations: Build and maintain automated deployment pipelines (Infrastructure as Code). Generate metrics, manage access authorizations, and ensure smooth operational support.
Incident & Problem Management: Lead root cause analysis (RCA) and proactive problem management/defect prevention activities for your product portfolio.
Qualifications
The minimum requirements we seek:
10+ years of progressive experience in Software Engineering.
Bachelor’s degree in Computer Science, Computer Engineering, or a combination of education and equivalent experience.
5+ years of expert-level experience with Angular, including deep knowledge of TypeScript, RxJS, state management (e.g., NgRx), and modern front-end build tools.
5+ years of expert-level experience developing for and deploying to Google Cloud Platform (GCP), including hands-on experience with cloud-native architectures, serverless computing, and GCP services.
Applied AI Experience: Hands-on experience integrating Large Language Models (LLMs) and building Agentic AI workflows into enterprise software applications.
Proven full-stack development experience encompassing:
Frontend frameworks: Angular (Expert)
Backend languages/frameworks: Python, Java, or Node.js
Data & Cloud Engineering tools: BigQuery, Cloud Run, Dataflow, Dataproc, Terraform, Tekton, Astronomer/Airflow, etc.
Deep understanding, practice, and advocacy for software engineering disciplines from eXtreme Programming (XP), Clean Code, and Lean, including:
Code quality and security tools (FOSSA, SonarQube, 42Crunch, etc.)
A strong curiosity around how to best use technology to amaze and delight our customers, coupled with a willingness to collaborate daily with team members.
Our preferred qualifications:
Advanced AI/ML Capabilities: Deep understanding of Generative AI architectures, including RAG (Retrieval-Augmented Generation), advanced prompt engineering, and utilizing AI frameworks (e.g., LangChain, LlamaIndex, Vertex AI) to develop autonomous, Agentic AI systems.
Highly effective at mentoring other engineers and collaborating with Product Managers, Data Engineers, UI/UX Designers, and business stakeholders.
Expertise in building and consuming RESTful APIs and event-driven microservices architectures.
Advanced experience with Continuous Integration/Continuous Delivery (CI/CD) tools and pipelines (e.g., Tekton, Terraform, Jenkins, Cloud Build).
Experience with Agile management tools (Jira, Rally), managing backlogs, iterations, and user stories.
Understanding of fundamental data modeling and database design (SQL and NoSQL).
Exceptional analytical and problem-solving skills with a track record of delivering complex technical solutions.
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