Senior Backend Software Engineer

• As a Senior Software Engineer: Platform, you will design and scale the foundational APIs and backend services powering LogicGate’s Risk Cloud platform
• As enterprise GRC demands expand, you will tackle critical system bottlenecks, optimize cloud data stores, and ensure high-availability multi-tenant reliability
• Working in Java/Kotlin, Spring Boot, and AWS, you will solve complex architectural challenges while elevating technical standards across the engineering chapter
• In this role, your technical leadership will directly ensure our platform remains scalable, resilient, and performant
• 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

Benefits

• 47 days off starting your first year, including paid volunteer time
• 12 weeks parental leave
• $1,000 annual educational stipend
• Ongoing learning and development
• Stock options and annual performance bonus opportunities

• AI Literacy & Agentic Tooling: 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
• Testing & Quality First: Deep commitment to modern testing practices across the testing pyramid, treating test automation as an essential component of shipping software
• Distributed Work & Team Engagement: Thrives in a remote, highly collaborative engineering culture with willingness to attend occasional department onsites and company events
• Data & Storage Proficiency: Strong hands-on experience with relational or non-relational databases, caching mechanisms, and asynchronous message brokers (e.g., PostgreSQL, Neo4j, Redis, RabbitMQ)
• Distributed & Cloud Systems: Proven track record of designing, deploying, and maintaining high-scale distributed systems and RESTful APIs in an AWS cloud-native environment
• Backend Expertise: 5+ years of professional software engineering experience developing enterprise backend systems using Java, Kotlin, or comparable JVM languages with Spring Boot
• LogicGate Tech Stack: Direct hands-on experience with LogicGate’s tech stack: Java, Kotlin, Python, Spring Boot, Neo4j, Redis, RabbitMQ, Docker, Terraform, and GitLab CI
• Architecture Knowledge: Familiarity with graph database modeling, event-driven architectures, or multi-tenant SaaS application design
• Full-Stack & SDLC Leadership: 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