The posting, in LogicGate's own words
archived Sep 2, 2026LogicGate® is the leading AI GRC platform for the Enterprise, helping governance, risk, and compliance teams limit surprises, strengthen resilience, augment program performance, and confidently quantify impact and business value. Built to provide a centralized view of risk and compliance, with AI intelligence woven into the platform's core, LogicGate delivers real-time insights and actionable data to help drive current business decisions, with the flexibility to scale alongside evolving business needs. Recognized as a Leader in the GRC Market, LogicGate continues to further solidify its position as a best-in-class platform. Excited about LogicGate but not familiar with GRC? GRC stands for Governance, Risk, and Compliance GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.
Software Engineer: Platform
Location: Remote or Bellevue, WA (Hybrid) or Chicago, IL (Hybrid)
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About the Role
As a Platform Software Engineer at LogicGate, you will build the robust backend services, APIs, and data layers that power Risk Cloud. Working autonomously within an assigned domain, you will design stable solutions, ship high-impact features, and systematically debug production workloads. This role is ideal for an engineer who executes with efficiency and takes operational ownership within their scope of responsibility, while actively developing the depth to shape our future enterprise cloud architecture.
What You’ll Do
Feature Engineering: Design and build backend features and robust REST APIs on the Risk Cloud platform using Java, Kotlin, and Spring Boot—taking engineering tasks from requirements through implementation, testing, and production release. Quality Assurance & Testing: Write clean, understandable code and build comprehensive unit and integration tests using JUnit, adhering to the testing pyramid to contribute to a highly stable, dependable deployment lifecycle. Systematic Debugging: Independently diagnose and resolve issues within your owned service area by reading distributed logs, analyzing console data, tracing request flows, and utilizing customer session analytics without needing escalation for routine anomalies. Domain Ownership: Act as a subject matter expert (SME) for a defined portion of the platform (such as our core workflow engine or reporting services), gathering context independently to design functions optimized for maintainability and scalability. Architecture & Documentation: Participate productively in Technical Specification reviews, estimate level of effort accurately, and author clear technical documentation including API contracts, data models, and Confluence runbooks. Data Management: Work operationally with relational databases (PostgreSQL) and advanced platform data stores (Neo4j, Redis) alongside messaging infrastructure (RabbitMQ) to trace, query, and optimize how data flows across . Collaboration: Partner cross-functionally with product managers, QA engineers, and frontend developers in sprints, mapping out individual task prioritization while raising dependencies or project blockers daily to ensure engineering alignment. Code Reviews & Culture: Participate actively in regular peer code reviews—providing meaningful praise, ensuring compliance with team conventions, and receiving constructive feedback non-defensively with an innate curiosity to learn.