Senior Implementation Engineer

Office Ally

1d•$120,000 - $150,000•Hybrid

About The Position

As a Senior Implementation Engineer, you will play a critical role in implementing our solutions for customers and ensuring accurate, reliable data flow across complex insurance and healthcare ecosystems. This is a hands-on implementation engineering role focused on building, configuring, and delivering customer integrations on a Java-based, configuration-driven platform. This is not a middleware tooling role. The work centers on XML-driven workflow configuration, expression and rules logic, payer API integration, and direct client engagement from scoping through go-live. Java experience is essential for reading, debugging, and extending platform behavior in code. This position is based in Concord, California. Local candidates are expected to work a hybrid schedule, with at least two days per week in the office. For highly qualified candidates located outside the area, remote work will be considered.

Requirements

Bachelor’s degree or equivalent experience in software development or healthcare technology
8+ years of object-oriented development experience
Java development experience sufficient to read, debug, and extend existing code.
Strong SQL skills (Oracle preferred).
Experience with XML-based configuration, workflow, or business rules systems.
Experience consuming, troubleshooting, and supporting REST APIs.
Comfortable leading client-facing technical discussions.
Experience implementing and supporting EDI integrations, including ANSI X12 standards and transaction processing.
Experience working within Agile development environments.
Familiarity with Windows and Linux environments.
Experience using Git, Bitbucket, or similar version control systems.
Experience with CI/CD tools such as Jenkins.

Nice To Haves

Experience integrating with or supporting Guidewire ClaimCenter and Contact Manager in Property & Casualty insurance environments.
Familiarity with Guidewire ecosystem concepts including policies, claims workflows, messaging, and integrations.
Experience with healthcare transaction processing or clearinghouse operations.
Familiarity with XML, JSON, SOAP, and YAML.
Exposure to Maven, Gradle, Docker, Kubernetes, and the ELK Stack.
Experience using JIRA, Confluence, and Microsoft Teams.
Familiarity with AI-assisted development tools such as Claude and GitHub Copilot.
Experience with Playwright or other modern test automation frameworks.
Strong commitment to data privacy and security, including HIPAA, PHI, and PII compliance requirements.
Proven ability to manage multiple concurrent client implementations independently.

Responsibilities

Lead technical scoping conversations directly with clients by conducting discovery sessions, gathering requirements, assessing environments, and defining integration scope before development begins.
Translate client requirements into working implementations by configuring XML-driven workflow logic, developing business rules, and extending platform functionality in Java when needed.
Build Java code extensions and customizations
Own the full client implementation lifecycle: Scoping, Build, Testing, Deployment, and Post-go-live support.
Implement X12 835/837 transaction handling logic within a configuration-driven framework, including field-level business rules and payer-specific exceptions.
Integrate with REST APIs from payers, clearinghouses, and systems such as Guidewire ClaimCenter and Contact Manager.
Read, troubleshoot, and extend Java code to add custom actions, methods, and integrations.
Apply Shift Left engineering practices including early validation, automated testing, and continuous quality checks.
Build and maintain automated test coverage using Playwright or similar testing frameworks.
Leverage AI-assisted development tools (Claude, GitHub Copilot, etc.) to accelerate debugging, analysis, mapping, and implementation efforts.
Troubleshoot complex client implementation issues and ensure successful onboarding and long-term production stability.
Identify opportunities to improve implementation patterns, automation, tooling, operational efficiency, and data quality.