Mgr. Software Engineering

Ukg-6; Town of Florida (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Ukg-6 is seeking a senior software engineering leader to drive major projects, ensuring alignment with business goals and industry best practices. You will be hands-on with code, participate in architecture discussions, and uphold high standards for performance, scalability, and reliability of complex AI-enabled systems.

You will guide the team in designing observable AI architectures, manage operations health, and enforce engineering best practices across documentation, automation, and

Qualifications

• Requires 6+ years in software development with 2+ years in leadership.
• Experience leading teams delivering large-scale SaaS/production systems.
• Deep expertise in one or more programming languages (C#, .NET, Python, Java, or JavaScript).
• Experience with cloud platforms and DevOps principles.
• Proven ability to drive architecture decisions and maintain high engineering standards.

Responsibilities

• Provide technical leadership for major projects aligned with business goals.
• Be hands-on with code and architecture discussions.
• Ensure performance, scalability, and reliability of complex software systems.
• Enforce engineering best practices including documentation, automation, and security.
• Maintain service health, telemetry, and incident response.
• Design reliable and observable AI systems, including prompt engineering standards.
• Understand CI/CD pipelines and deployment processes.

Skills

Leadership

Architecture & design

Cloud & DevOps

Programming languages

AI systems & LLMs

Observability & reliability

Communication & influence

Problem solving

Education

Bachelor's degree in CS/Engineering

Master's degree or PhD in CS/Engineering

Tools

C#

.NET

Python

Java

JavaScript

LLM APIs (Gemini/OpenAI/Anthropic)

LangChain

Azure/AWS/GCP

CI/CD tooling

Job description

• Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices.
• Be hands‑on with code, maintaining high technical standards and actively participating in architecture discussion
• Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications.
• Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, responsible AI development).
• Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence.
• Guide the team in designing reliable, safe, and observable AI systems, including multi‑agent orchestration, tool and skill design, and prompt engineering standards.
• Play a pivotal role in the R.I.D.E. (Recommend, Inform, Decide, Execute) framework.
• Understand CI/CD pipelines from build, test, to deploy phases.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 6+ years of experience in software development, with 2+ years in a technical leadership role and 2+ years in a people management role or relevant experience.
• Ensure AI‑enabled features are introduced safely, transparently, and compliantly.
• Proven track record of leading and delivering large‑scale, complex software projects.
• Experience leading teams building SaaS, enterprise, or highly available production systems.
• Deep expertise in one or more programming languages such as C#, .NET, Python, Java, or JavaScript.
• Extensive experience with software architecture and design patterns.
• Strong understanding of cloud technologies and DevOps principles.
• Excellent problem‑solving skills and attention to detail.
• Excellent communication and leadership skills, with a demonstrated ability to influence and drive change.
• Master's degree or PhD in Computer Science, Engineering, or a related technical field.
• Experience with LLM APIs (Gemini, OpenAI, Anthropic) or agent frameworks (Google ADK, LangChain, or similar).
• Familiarity with AI evaluation, observability, and testing strategies for non‑deterministic systems.
• Understanding of RAG patterns, prompt engineering, and agentic workflow design.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and automation tools.
• Demonstrated commitment to diversity and inclusion initiatives.
• Familiarity with developing accessible technologies.