> Markdown version of [/jobs/ext/3967128-software-engineer-back-end](https://www.wearedevelopers.com/jobs/ext/3967128-software-engineer-back-end). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer: Back-End - **Company:** LogicGate, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $105,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Systems Engineering, Confluence, Software as a Service, Cloud Computing, Cloud Engineering, Code Review, Databases, Data Infrastructure, Data Stores, Relational Databases, Cursor, Database Queries, Software Debugging, Distributed Systems, Graph Database, Monitoring of Systems, Java Virtual Machine (JVM), Junit, PostgreSQL, Neo4j, Scrum Methodology, Queueing Systems, RabbitMQ, Redis, Release Management, Distributed Caching, Software Engineering, SonarQube, Data Streaming, System Software, Management of Software Versions, Datadog, Cloud Platform System, Feature Engineering, GitHub Copilot, System Availability, Claude Code, Spring-boot, AI Coding Agents, Backend, Gitlab, Data Layers, Kotlin, Event Driven Architecture, Build Management, Data Management, Front End Software Development, Api Design, Restful APIs, Api Management, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-back-end-seattle-wa--8239c67a-cba7-44a6-bf44-3cee7772dd60 ## About the Role Software Engineering, Risk, Artificial Intelligence (AI), Market Analysis, Regulations, Software Engineering, Cloud Architecture, Application Programming Interface (API), Debugging Skills, Cloud Computing, * Professional Experience: 3-5 years of professional backend, platform, or systems engineering experience within a high-growth environment. * Core Stack Proficiency: Strong development experience using Java, Kotlin, or a comparable enterprise JVM language, alongside practical exposure to frameworks like Spring Boot. * API Design Mastery: Solid experience building, owning, and maintaining production-grade REST APIs, with an emphasis on API versioning, contract stability, and cross-team consumer workflows. * Database Fundamentals: Practical experience working with relational databases (such as PostgreSQL), including writing complex queries, executing schema migrations, and analyzing query performance. * Autonomous Troubleshooting: Demonstrated ability to independently debug complex distributed backend services by parsing logs, utilizing monitoring systems like Datadog, and verifying compliance protocols via security tools like GitLab Ultimate, Sonarqube and Wiz.. * AI-Augmented Development: Practical experience using AI coding assistants (Cursor, GitHub Copilot, Codex, or Claude Code) as part of a normal workflow-writing effective prompts, building reusable skills or custom instructions, and knowing when to trust, verify, or discard AI-generated output., * Advanced Data Infrastructure: Familiarity with graph databases (Neo4j), message queues (RabbitMQ), or distributed caching layers (Redis). * SaaS Architecture: Background building multi-tenant B2B SaaS applications where strict data isolation, high availability, and performance at scale are paramount. * Modern Distributed Systems: Deep understanding of event-driven architectures, microservices patterns, or containerized applications at production scale. ## Description 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., * 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 microservices. * Agile Collaboration: Partner cross-functionally with product managers, QA engineers, and frontend developers in Agile 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.