Software Engineer, Implementation

Our client is hiring a Software Engineer - Implementation to design and deliver the technical integrations that make the platform work in the real world. This role sits at the intersection of engineering, infrastructure, data, and customer systems. You'll own implementations end-to-end-from discovery and system analysis through deployment and production reliability. If you like reverse-engineering systems, building integrations, and solving messy real-world technical problems, you'll thrive here. What Makes This Team Different This is a lean engineering environment-no separate QA, product management, or design hand-offs. Engineers own the full journey: scoping, building, deploying, and supporting what ships. If you enjoy ambiguity and prefer ownership over handoffs, this is a strong fit. If you need a neatly defined roadmap and multiple layers catching issues before release, it may not be the right environment. What You'll Work On Examples of problems implementation engineers tackle:

• Integrating with heterogeneous government databases and legacy systems

• Reverse-engineering APIs and data structures with limited documentation

• Designing scalable pipelines to ingest and normalize messy property datasets

• Automating onboarding workflows across multiple customer environments

• Building infrastructure that ensures reliability and performance across deployments

• Translating real-world operational constraints into robust system architecture Tech Stack

• Backend: Java

• Automation / Scripting: Python, Bash

• Data: PostgreSQL, SQL

• Infrastructure: AWS, Docker, Terraform

• Dev Tools: GitHub, GitHub Actions, Linear, Claude Code, Cursor, CI/CD, automated testing You don't need to know everything on day one-our client values strong fundamentals and a growth mindset. What You'll Do

• Software development: Contribute to and enhance a core Java codebase with a focus on maintainability and clean design

• Scripting & automation: Use Python/Bash and automation (GitHub Actions) to streamline workflows and extend platform functionality

• System integration: Design and implement robust integrations with third-party databases, APIs, and data storage systems

• Customer infrastructure: Partner with customer teams to understand their architecture and build implementation plans that prioritize reliability and scale

• Customer collaboration: Act as a trusted technical advisor-turning complex requirements into practical, scalable solutions

• Cloud & deployment: Deploy, monitor, and scale applications in AWS-ensuring performance, reliability, and security across customer environments

• 2+ years of professional software development experience with strong proficiency in at least one backend language (Java, Python, Ruby, etc.)

• 2+ years working with relational databases (SQL / PostgreSQL), including performance and data modeling fundamentals

• Experience with cloud services (AWS preferred)

• Demonstrated ability with system architecture, API design, and complex integrations

• Comfortable traveling to client sites (~10% annually)

• Resourceful problem-solver who can dive into unfamiliar databases/infrastructure and understand how systems work

• Curious, self-directed, and energized by learning new technologies

• Customer-centric and motivated by solving real problems with visible impact

• Strong communicator able to explain technical concepts to both technical and non-technical stakeholders The "must-have" traits Our client prioritizes engineers who:

• Enjoy solving real-world technical problems

• Take ownership of systems and outcomes

• Are curious, resourceful, and pragmatic builders

• Competitive compensation + equity plan
• Medical, dental, vision, and life insurance
• Company-sponsored 401(k) program
• Flexible work environment that supports working from home
• Flexible PTO
• Parental leave
• Home office stipend

Our client is modernizing outdated local government workflows with software used by hundreds of government agencies across the United States. Their AI-powered platform leverages Natural Language Processing (NLP) to replace manual data entry-reducing delays, backlogs, and errors. The work directly impacts how communities fund schools, infrastructure, and essential public services.