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.
Job 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
Required Skills and Qualifications
- 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 receiving 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.
