Develop and maintain Guidewire ClaimCenter applications using Gosu, Java, Spring, and SQL. Responsibilities include new development, production support, functional and technical analysis, estimation, code reviews, Agile ceremonies, automated testing, and CI/CD participation. The role requires hands-on ClaimCenter experience and test automation knowledge, with AWS, Git, GitHub, Jenkins, Maven, and Nexus considered beneficial.
The client is looking for a ClaimCenter
developer who writes Gosu daily, within the team supporting the Claims
department. The role combines new development and operations: production
support and maintenance are explicitly part of the mandate. The person takes
part in functional and technical analysis, work breakdown and estimation, as
well as code reviews and Agile ceremonies. The mention of code quality
validation with more experienced resources positions the role at the
intermediate/senior contributor level, not technical leadership. A Java, Spring
and SQL foundation is expected alongside Guidewire, with a culture of automated
testing and continuous integration.
Target
candidate: a Guidewire developer with demonstrated Gosu work in ClaimCenter,
backed by Java and Spring. The person has handled production support and works
with automated tests (GUnit, JUnit or equivalent) in a Jenkins/Maven pipeline.
Requirements
REQUIRED
- Mastery of Gosu and Guidewire ClaimCenter
development tools
- Object-oriented programming, Java and Spring
Framework
- SQL skills
- Test automation (JUnit/GUnit, JMeter, BDD,
Selenium, etc.)
DESIRED
- Knowledge of AWS
- Knowledge of Git and GitHub
- Familiarity with CI/CD tools (Jenkins, Maven, Nexus, etc.)
Profiles to Exclude:
- Profile whose Guidewire experience is limited to
PolicyCenter or BillingCenter, with no demonstrated ClaimCenter work.
- Business analyst or configurator profile mentioning
ClaimCenter without delivered Gosu code.
- Java/Spring profile with no Guidewire project on the
resume.
- Architect or tech lead profile whose last three
engagements include no hands-on development.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Own the vision and roadmap for Affirm’s consumer loyalty program, launching rewards, tiers, engagement loops, and redemption experiences. Lead program economics, experimentation, incrementality, LTV measurement, and reward optimization. Partner with Risk, Credit, Legal, Compliance, Finance, Marketing, engineering, and design to deliver compliant products and drive repeat usage, retention, share of wallet, and incremental GMV.
Top Skills:
AmplitudeClaude CodeCursorSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills:
Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
11 Hours Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills:
AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
