About the role

Staff Engineer focused on building AI-powered solutions and microservices at Accellor. Collaborating with teams to create impactful enterprise software with modern technologies.

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

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

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.