Staff Engineer - Applied AI (Java)

Accellor; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible and discretionary time off

Healthcare coverage

Retirement savings plan

Professional development opportunities

Job summary

A leading AI-driven technology firm based in Seattle is looking for experienced software engineers to design and maintain scalable microservices using Java and Spring Boot. You'll collaborate with teams on technical architecture, drive AI feature integrations, and mentor engineering teams. Desired candidates should have 10+ years of Java experience, knowledge of cloud platforms, and strong leadership skills. The role offers a competitive benefits package including flexible time off and comprehensive healthcare.

Qualifications

• 10+ years of professional experience building maintainable, scalable systems.
• Expert in modern Java and hands-on with the latest features.
• Strong understanding of CI/CD, automated testing, and observability.

Responsibilities

• Design, develop, and maintain scalable, high-performance microservices.
• Collaborate on technical roadmaps and architectural blueprints.
• Provide technical leadership and establish best practices.

Skills

Java (version 21+)

Spring Boot (3.4.x)

AI-powered features development

Collaborative mindset

Mentorship

RESTful API design

Cloud technologies (AWS, Azure, GCP)

Education

Bachelor's or master's degree in computer science or related field

Tools

Docker

Kubernetes

AI-assisted development tools (e.g., Claude, Cursor, Codex)

Job description

Overview

Accellor is an AI-first digital transformation partner built for the next generation of enterprise. We help global organizations turn cloud, data, and AI into real, measurable business outcomes at scale. At Accellor, people come first. You'll be trusted, empowered, and challenged to solve meaningful problems, collaborate with exceptional teams, and continuously grow your skills while building solutions that matter. Trusted by Fortune 100 companies and global innovators, we work across industries delivering AI solutions, data platforms, and product engineering using modern, scalable technologies. If you want your work to create real impact and shape the future of enterprise, Accellor is where it happens.

Responsibilities

• Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x)
• Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprints
• Build and integrate AI-powered features, focusing on Generative AI solutions
• Partner with ML and Data Science teams to productionize AI models and support cutting-edge use cases
• Provide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOps
• Review code, coach engineers, and foster an inclusive, learning-rich environment
• Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation

Requirements

• Bachelor's or master's degree in computer science, Engineering, or a related technical field
• 10+ years of professional experience building maintainable, scalable, and high-performance systems in Java
• Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices
• Deep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks
• Extensive experience in designing and deploying distributed systems and microservice-based architectures
• Demonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCP
• Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is required
• Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns
• Proficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observability
• Excellent communication skills, a collaborative mindset, and experience mentoring engineers

Preferred Qualifications

• Experience with Temporal (workflow orchestration) and Spring AI (artificial intelligence extensions for Spring)
• Open-source or community contributions in AI/Java/microservices/cloud tools

Benefits

We strive to offer benefits that support the diverse needs of our employees. Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a retirement savings plan to help you plan for the future. Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurance, and opportunities for professional development.