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CentralReach's Applications 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 DevOps 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 CentralReach'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/TypeScript for full-stack delivery 

• Demonstrated daily-driver fluency with AI coding tools and agents (Claude Code, Cursor, GitHub 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 testing (unit, integration, e2e) and CI/CD tooling 

• Ability to communicate technical concepts clearly to product, design, and executive stakeholders 

• Experience in a healthcare SaaS environment 

• Familiarity with multi-tenant architectures and enterprise access control models 

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