Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
We are seeking a highly skilled and experienced Senior Guidewire ClaimCenter Engineer to join our dynamic team. The ideal candidate will have 10+ years of professional experience with a strong background in Guidewire ClaimCenter, Java, and Spring Boot. This role requires an individual who is not only proficient in implementing and customizing Guidewire solutions but also capable of reverse engineering existing codebases to enhance system functionality and optimize performance.
Key Responsibilities:
Design, Develop, and maintain Guidewire ClaimCenter solutions tailored to business needs.
Reverse Engineer Existing Codebases to understand legacy implementations and propose improvements.
Collaborate with cross-functional teams, including business analysts, architects, and other developers, to deliver high-quality solutions.
Integrate Guidewire ClaimCenter with external systems using robust APIs and frameworks.
Ensure scalability, performance, and reliability of ClaimCenter implementations.
Troubleshoot and resolve complex technical issues in ClaimCenter and its integrations.
Contribute to the planning and execution of system upgrades, migrations, and performance tuning.
Requirements
10+ years of professional experience in software development with a strong focus on Guidewire ClaimCenter.
Expert-level knowledge of Guidewire ClaimCenter Configuration and Integration development.
Proficiency in Java (Java 21 preferred) with a solid understanding of object-oriented principles, design patterns, and modular programming.
Experience in Spring Boot (3.4.x preferred) for building RESTful APIs and microservices.
Proven ability to reverse engineer and analyze existing codebases to extract business logic and improve system design.
Strong understanding of Guidewire Data Model, Gosu scripting, and Guidewire Studio.
Hands-on experience with integration frameworks, including SOAP and REST APIs.
Knowledge of CI/CD pipelines and DevOps practices (e.g., Jenkins, Docker, Kubernetes) is a plus.
Understanding of Agile/Scrum methodologies and working within Agile teams.
Preferred Qualifications:
Guidewire certification (e.g., ClaimCenter Specialist, Configuration Developer, Integration Developer) is highly desirable.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to modern front-end frameworks (e.g., Angular, React) for Guidewire add-ons.
Knowledge of performance tuning and optimization in Guidewire implementations.
Excellent communication and interpersonal skills.
Benefits
At Accellor, we believe in equitable compensation. The annual salary for this position will be in the range of $110,000 - $150000. The actual pay will depend on your skills, experience, and qualifications. The salary range is subject to change.
In addition, we offer:
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer, flexible work schedules, opportunities to work from home, and paid time off and holidays.
Financial and Medical Benefits: Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a retirement plan to help you plan for the future. Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurances.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Accellor is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era, focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. The company's mission is to operationalize AI at scale and unlock sustained enterprise value for enterprises. Their offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. Accellor leverages design thinking and technology-agnostic architectures to ensure faster time-to-value and seamless interoperability. With a proven track record of enabling Fortune 100 enterprises and global innovators, the company positions itself as a trusted partner for organizations seeking to harness the full potential of AI and redefine the future of enterprise transformation.
