Software Engineer, Travel

As a Senior Software Developer at Harris ERP, you write and review code every week, make sound architectural calls, and help lead a small team, including local and overseas developers, as we continue investing in and evolving our offerings. This role reports directly to the VP of Research & Development and works closely with product, QA, TechOps and other teams across the Harris ERP portfolio. Develop and execute strategies to enhance the effectiveness and efficiency of the Customer Support department, aligned with company objectives and customer needs. Collaborate with the VP of Operations to define operational goals, develop KPIs, and create roadmaps to achieve targets. Design, build, and ship production code using modern Java frameworks and enterprise-grade engineering practices. Own non-trivial pieces of the modernization effort end to end: from technical design through code review, testing, and production rollout. Provide day-to-day direction, coaching, and technical mentorship to a small team of local and overseas developers, setting priorities, unblocking work, and holding a consistent quality bar across time zones. Partner with the VP of R&D on staffing needs, performance feedback, and career growth conversations for your teammates; Build working rhythms, async updates, documentation habits, and review cadences that make distributed collaboration with overseas developers effective. AI-Enabled Delivery: Use, and help your team use, AI coding assistants and agentic tools as a standing part of your own workflow for scaffolding, refactoring, test generation, and code review. Identify where MCP-based tooling and AI agents can replace brittle flat-file integrations or manual operational work. You've shipped meaningful, production-quality contributions to the codebase and understand the CitySuite platform well enough to make independent design calls. You've built a working relationship with the local and overseas developers on your team, with clear expectations and a review process everyone understands. You've identified at least one area of the platform ready for modernization and proposed
- or implemented
- its replacement. You own a meaningful slice of the platform in production
- architecture, code quality, and operational health included. The patterns and standards you've set are visible in the team's code, and newer or outsourced developers are ramping up faster because of documentation and mentorship you've put in place. AI-assisted workflows are a normal part of how your team ships code, and you can point to concrete time saved or quality improved as a result. A track record of designing and shipping production-grade backend services in Java or a comparable modern, statically-typed language. Experience providing technical direction or mentorship to other developers, formally or informally, including reviewing others' code and helping them grow. Comfort working directly with distributed or outsourced development teams across time zones, with strong async, written communication. Active, hands-on use of AI coding tools (e.g., Solid grounding in relational database design and SQL. Experience building software within an AI-Driven Development Life Cycle (AI-DLC), or contributing to a team that has adopted one. Experience modernizing or migrating a legacy Java monolith (Java EE, GlassFish, or similar) to a modern framework. Experience collaborating with a React front-end team or contributing to a React codebase. Background in ERP, GovTech, or other regulated/public-sector software. Familiarity with Model Context Protocol (MCP) or building AI-integrated tooling and agents. SQL Server experience specifically. Experience with Data-tier Application Package (DACPAC). Post-secondary education in Computer Science, Software Engineering, or equivalent practical experience; we're flexible here if your project history speaks for itself. Ability to work core hours that overlap with both a US-based team and overseas developers. Prior experience leading or mentoring outsourced/offshore developers specifically, not just distributed US teams. Curiosity about applying AI agents to problems beyond code generation, support tooling, data migration, testing, or operations.