Senior Software Engineer: Back-end

LogicGate is hiring a Senior Software Engineer to design and scale foundational APIs and backend services for its Risk Cloud platform. The role focuses on distributed systems, cloud data stores, platform reliability and performance, and technical leadership across engineering teams.

Responsibilities:

• System & Data Architecture: Design and build high-throughput backend services, core platform APIs, and distributed data stores using Java, Kotlin, Spring Boot, Neo4j, Redis, PostgreSQL, and RabbitMQ to expand multi-tenant Risk Cloud capabilities
• Quality & Continuous Delivery: Write robust unit, integration, and service-level tests while partnering with DevOps to evolve cloud infrastructure and automated CI/CD pipelines (AWS, Terraform, Docker, GitLab CI)
• Observability & Optimization: Monitor operational metrics, tracing, and alerts in Datadog to proactively diagnose system bottlenecks, optimize database query performance, and ensure platform health
• Cross-Functional Leadership: Facilitate technical design reviews, decompose complex epics alongside Product and Design teams, and mentor engineers across squads to elevate code quality and execution
• AI Workflow Efficiency: Leverage AI coding assistants, LLMs, and modern developer automation tools to streamline engineering workflows, refactor legacy patterns, and accelerate feature delivery velocity

Requirements:

• 5+ years of professional software engineering experience developing enterprise backend systems using Java, Kotlin, or comparable JVM languages with Spring Boot
• Proven track record of designing, deploying, and maintaining high-scale distributed systems and RESTful APIs in an AWS cloud-native environment
• Strong hands-on experience with relational or non-relational databases, caching mechanisms, and asynchronous message brokers (e.g., PostgreSQL, Neo4j, Redis, RabbitMQ)
• Deep commitment to modern testing practices across the testing pyramid, treating test automation as an essential component of shipping software
• Demonstrated curiosity and practical experience leveraging modern AI coding tools, LLMs, or AI agents (e.g., custom developer tools, agentic workflows, or automated assistants) to enhance problem-solving, code quality, and engineering velocity
• Direct hands-on experience with LogicGate's tech stack: Java, Kotlin, Python, Spring Boot, Neo4j, Redis, RabbitMQ, Docker, Terraform, and GitLab CI
• Familiarity with graph database modeling, event-driven architectures, or multi-tenant SaaS application design
• Brings a holistic perspective to the software development life cycle - combining deep backend expertise with a desire to work across the stack, optimize CI/CD pipelines, and apply infrastructure-as-code (IaC) best practices