Software Engineer: Backend

LogicGate

9d•$105,000 - $130,000•Hybrid

About The Position

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.

Requirements

3–5 years of professional backend, platform, or systems engineering experience within a high-growth environment.
Strong development experience using Java, Kotlin, or a comparable enterprise JVM language, alongside practical exposure to frameworks like Spring Boot.
Solid experience building, owning, and maintaining production-grade REST APIs, with an emphasis on API versioning, contract stability, and cross-team consumer workflows.
Practical experience working with relational databases (such as PostgreSQL), including writing complex queries, executing schema migrations, and analyzing query performance.
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.
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.

Nice To Haves

Experience or fluency with Go (our platform chapter utilizes Go alongside our primary JVM stack).
Familiarity with graph databases (Neo4j), message queues (RabbitMQ), or distributed caching layers (Redis).
Background building multi-tenant B2B SaaS applications where strict data isolation, high availability, and performance at scale are paramount.
Deep understanding of event-driven architectures, microservices patterns, or containerized applications at production scale.

Responsibilities

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.
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.
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.
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.
Participate productively in Technical Specification reviews, estimate level of effort accurately, and author clear technical documentation including API contracts, data models, and Confluence runbooks.
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.
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.
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.