Senior Full Stack Software Developer

FSI Services•Cranberry, PA

1d•$120,000 - $145,000•Remote

About The Position

At FSI, you’ll join a team of passionate professionals dedicated to empowering efficient and safe hospital operations. FSI supports over 400 million ft of hospital space every year to run transformative, intelligent hospital maintenance operations. FSI is the most comprehensive computerized maintenance management software (CMMS) provider for healthcare, and we’re proud to serve over 1,300 hospitals with some of the largest networks in the country -- including Atrium Health, UPMC, Yale New Haven, SSM Health UNC Health, and many others. We work directly with our customers to build customized modern technology that fits their complex needs. In 2020, FSI received significant investments to grow and expand on the foundation established since the company began in 2002. We believe our most exciting chapter is just beginning, and we’re looking for talent that wants to make an impact. If you’re looking for a fast-paced, innovative community with a team focused on collaboration and empowerment through technology, we encourage you to get in touch. We are seeking a Senior Full Stack Software Developer who will serve as a technical lead for a development squad building and evolving our core product platform. In this role you will drive technical execution and quality across the stack, partner closely with Product and Design, and mentor engineers to deliver reliable customer-facing functionality. You will also help shape and deliver our AI capabilities by building and deploying production-ready agents that integrate into core product workflows.

Requirements

7+ years of professional software development experience with significant full stack ownership.
Demonstrated experience acting as a technical lead (or equivalent) for a squad or project, including design leadership and mentoring.
Strong backend engineering skills building services and APIs, with attention to security, authentication, and authorization best practices.
Strong frontend engineering skills with modern frameworks such as Angular or React, building responsive and accessible user experiences.
Hands-on experience building and deploying AI agents using Semantic Kernel, Agent Framework, Azure AI Foundry, or similar technologies.
Experience integrating LLMs and AI services into real-world applications, including prompt and tool design, orchestration, and evaluation.
Experience deploying and operating production systems in a cloud environment (Azure preferred), including monitoring and incident response basics.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
Strong proficiency with C#, SQL, TypeScript, and JavaScript.

Nice To Haves

Experience in enterprise SaaS or regulated industries, with an understanding of privacy and compliance considerations.
Experience with event-driven architectures, messaging, workflow orchestration, or background processing.
Experience with observability and telemetry tools, and using data to guide reliability and performance improvements.
Experience building AI-powered user experiences, copilots, or workflow automation in a product context.

Responsibilities

Lead technical delivery for a squad, including solution design, task decomposition, and day-to-day engineering decisions.
Own end-to-end features in the core product across frontend, backend services, and data layers, with a focus on maintainability and scalability.
Set and uphold engineering standards for code quality, testing, security, and operational readiness.
Provide hands-on development and technical guidance on complex work, including performance, reliability, and architecture trade-offs.
Design, build, and deploy AI agents that support product workflows and internal automation.
Build agents using frameworks such as Semantic Kernel, Agent Framework, or Azure AI Foundry, and integrate them into production applications.
Implement guardrails, monitoring, and evaluation to ensure agent reliability, safety, and measurable outcomes.
Partner with Product, Design, and QA to clarify requirements, manage technical risks, and deliver iterative value.
Mentor and coach engineers through pairing, code reviews, and design reviews; help grow team capability and ownership.
Collaborate with platform and DevOps partners to improve CI/CD, observability, and deployment practices (Azure preferred).