Lead Business Systems Analysist
Listed on 2026-06-02
-
Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer, Backend Developer
We are seeking a
Lead Business Systems Analysist for a supervisory/technical role within a two-person technical team who combines deep hands‑on engineering expertise with a modern mindset around cloud, automation, and AI‑assisted development.
The successful candidate will combine strong hands‑on engineering skills with the ability to work directly with the operations and leadership teams to understand business processes, identify opportunities, and design automation and system improvements.
This role requires someone who can proactively propose solutions, assess what is technically possible, and help shape the technical roadmap, in addition to delivering high‑quality software.
Salary range: $100-130k.
This is an existing position at Function Ability.
Hybrid Role.
Key Responsibilities – Lead Business Systems Analysist End-to-End Solution OwnershipOwn the full software development lifecycle: problem analysis, solution design, development, testing, deployment, maintenance, and support.
Take accountability for both technical outcomes and operational effectiveness of the solutions delivered.
Balance hands‑on development with solution design, automation, and continuous improvement.
Partnership with OperationsWork closely with the Operations team to understand workflows, pain points, and business constraints.
Translate operational needs into practical, scalable technical solutions, including automation opportunities.
Proactively identify inefficiencies and improvement opportunities rather than waiting for formal requests.
Act as a technical advisor, helping stakeholders understand options, trade‑offs, and possibilities.
Core Engineering & Architecture- Own the full software development lifecycle: design, development, testing, deployment, maintenance, and support.
- Design, build, and maintain applications usingC#, .NET, and SQL Server
, with a strong focus on performance, security, and reliability. - Support and enhance existing
Win Forms ( / C#) applications while leading their evolution toward modern architectures (web, APIs, and services). - Architect and develop
secure, scalable APIs and services that integrate legacy systems with modern platforms. - Perform advanced database design and optimization, including complex SQL queries, stored procedures, and data modeling.
- Work closely with the operations and leadership teams to identify and lead modernization initiatives/improvements, including:
- Transitioning desktop applications to web‑based or service‑oriented architectures.
- Introducing modern .NET frameworks and patterns.
- Improving CI/CD, testing, and deployment practices.
- Evaluate and recommend new tools, frameworks, and technologies that support long‑term platform strategy.
- Design and implement
AI‑powered features and automations
, such as: - Workflow automation
- Intelligent data analysis or summarization
- Integration with
Azure AI Services, OpenAI APIs, , or similar platforms - Use AI tools responsibly to improve developer productivity (e.g., code generation, refactoring, testing, and documentation).
- Partner with security and compliance teams to ensure AI integrations meet enterprise and regulatory standards.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Responsible for code reviews, architecture discussions, and technical decision‑making.
- Supervise junior developer and provide technical guidance and best‑practice coaching.
- Contribute to long‑range planning, architectural roadmaps, and platform strategy.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 8+ years of professional software development experience
. - Advanced expertise in:
- SQL Server (query optimization, stored procedures, data integrity)
- Application architecture and design patterns
- Experience supporting and modernizing
legacy applications
. - Strong understanding of data structures, algorithms, and software engineering principles.
- Experience working in
Agile/Scrum environments (e.g., Jira).
- Hands‑on experience integrating or deploying
AI/ML solutions in production environments. - Familiarity with one or more of the following:
- Azure AI…
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