Software Engineer, Applications

Central Reach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. Trusted by more than 200,000 users, we enable therapy providers, educators, and employers to scale the way they deliver ABA and related therapies with innovative technology, market-leading industry expertise, and world-class customer satisfaction.

Central Reach'sApplications team is a cross-functional group that rapidly builds, validates, and scales new product capabilities. The Software Engineer, Applications is a hands‑on builder who helps shape the product — working from design through evaluation to production and partnering closely with product builders, Product Organization leaders, and subject matter experts to turn customer problems into reliable features.

This role spans the full lifecycle, from early prototypes through production hardening and scale, and treats modern AI‑assisted development tooling (Claude Code, Cursor, agentic coding workflows) as a force multiplier, not a replacement for engineering judgment. The ideal candidate is a natural collaborator and problem solver with high curiosity who thrives in a data‑driven environment.

Key Accountabilities

Technical Leadership & Engineering Excellence

• Shape the product hands‑on — partner with Product to define what to build, then design and deliver it within the Product Organization while setting standards for code quality, architecture, and delivery
• Lead by doing: design and implement core application components, critical services, and integration layers
• Establish quality thresholds and release criteria (correctness, latency, reliability, cost, and user trust)
• Define and champion best practices for AI‑assisted development: prompt and context strategies for coding agents, code review standards for AI-generated code, and guardrails that keep velocity high without sacrificing quality or security

Rapid Application Development (Hands‑On)

• Build product capabilities end-to-end (service + workflow integration + instrumentation) using Python, Next.js, and modern backend patterns
• Use agentic coding tools (e.g., Claude Code, Cursor) daily to accelerate prototyping, refactoring, test generation, and documentation
• Build and maintain shared libraries, components, and service templates that standardize application development across teams
• Develop internal tooling, scripts, and agent workflows that improve developer experience and automate repetitive engineering tasks
• Own technical readiness for production: reliability, observability, performance tuning, and incident response preparedness
• Collaborate with Platform Engineering and Dev Ops to ensure CI/CD and environment consistency, scaling strategies, cost controls, secrets management, and secure data handling

Cross‑Functional Delivery & Integration

• Partner tightly with product builders and workflow owners to translate validated prototypes into production implementations
• Collaborate with core engineering teams to integrate new capabilities into Central Reach's main platforms
• Stay current with AI‑assisted engineering practices (agentic coding, spec‑driven development, automated code review) and help the broader engineering organization adopt them safely and effectively

Desired Skills and Experience

• 5+ years of professional software engineering experience, with demonstrated technical leadership
• Strong experience building and operating production distributed systems and backend services
• Strong proficiency in Python; experience with Next.js/Type Script for full‑stack delivery
• Demonstrated daily‑driver fluency with AI coding tools and agents (Claude Code, Cursor, Git Hub Copilot, or similar), including effective context management, prompt strategies, and critical review of generated code
• Experience building or orchestrating agentic coding workflows (multi‑step automation, MCP integrations, CI‑integrated agents) is a strong plus
• Strong system‑design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
• Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
• Strong background in automated…