Job Description

Job Description

Senior Full Stack Engineer (Frontend & BFF Focus)


Location: Bothell, WA 
Employment Type: Contract 
Candidate Location = Candidate should be local to Bothell, WA (In-person interview is a must)
GC and USC


Role Overview

We are seeking a Senior Full Stack Engineer with strong expertise across Frontend (UI) and Backend-for-Frontend (BFF) layers. This role is responsible for building scalable, secure, and high-performance web applications using modern frontend frameworks and backend integration patterns.

The ideal candidate is a hands-on engineer who partners closely with UX/UI, Architecture, and Platform teams, applies modern engineering practices, and delivers enterprise-grade, customer-facing solutions.

Key Responsibilities

Frontend & BFF Development

  • Design and develop frontend UI components using React.js, Next.js, and TypeScript

  • Build and maintain Backend-for-Frontend (BFF) layers using Java, JavaScript, Node.js, REST, GraphQL, or MuleSoft

  • Develop responsive and adaptive web applications optimized for multiple devices and browsers

  • Apply Micro Front-End architectures where applicable

UX & Performance Engineering

  • Collaborate closely with UX/UI Designers to deliver intuitive, high-quality user experiences

  • Implement engineering best practices to ensure high-performance, browser-friendly web solutions

  • Continuously improve website and application performance using monitoring tools such as Dynatrace, Quantum Metric, Splunk, and similar platforms

Engineering Excellence

  • Design, code, test, debug, and document new and existing components

  • Build high-quality, secure, and maintainable code using:

    • Unit testing

    • Test-driven development (TDD)

    • Security-driven development

  • Implement all critical Non-Functional Requirements (NFRs), including:

    • Scalability

    • Security

    • Availability

    • Performance

  • Troubleshoot and resolve code-level issues quickly and efficiently

Architecture & Collaboration

  • Partner with Enterprise and Application Architecture teams to contribute to solution design and technical architecture

  • Apply deep technical expertise to solve complex programming and design challenges

  • Actively participate in Agile/Scrum processes, including sprint planning, user story creation, and code reviews

AI-Assisted Development

  • Effectively leverage GitHub Copilot across the SDLC for:

    • Pair programming

    • Unit and automation test generation

    • Writing user stories and improving developer productivity

Required Technical Skills

Frontend

  • React.js

  • Next.js

  • TypeScript

  • Micro Front-End Architecture

  • HTML5, CSS3, Bootstrap.js

  • JavaScript, XML

Backend / BFF

  • Java and/or JavaScript

  • Node.js

  • RESTful Services

  • GraphQL

  • Spring Boot

  • MuleSoft (preferred)

Data & Integration

  • NoSQL databases (MongoDB, Cassandra)

  • Kafka / MQ

  • Redis

Cloud & DevOps

  • Azure and/or AWS cloud environments

  • Docker, Kubernetes

  • Jenkins, Git, Jira

  • CI/CD pipelines

Monitoring & Observability

  • Splunk

  • Dynatrace

  • Prometheus / Grafana

Additional

  • AI and Machine Learning exposure (preferred)

  • Strong understanding of security best practices and enterprise NFRs

Preferred Qualifications

  • Experience building enterprise-scale web platforms

  • Strong understanding of frontend performance optimization

  • Hands-on experience with GraphQL-based BFF architectures

  • Experience working in high-availability, regulated, or large-scale environments




Requirements
Requirements: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Minimum of 3-5 years of experience in data engineering, with at least 2 years of experience in EKG platforms such as SPARQL, RDF, and Stardog. Strong skills in Graph DB with Python AML. Experience with some of the following technologies: R language, Machine Learning, Data Engineering, Cloud Platforms, ML Ops. Knowledge of SQL and NoSQL databases, data modeling, and data warehousing concepts. Experience with distributed systems and big data technologies such as Hadoop, Spark, and Kafka. Strong programming skills in Python and/or Java. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

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