Remote MAS Python Developer (VA ESOM)

Kentro • UNAVAILABLE, UNAVAILABLE

1d • Remote

About The Position

Kentro is hiring for a Remote MAS Python Developer to support the VA ESOM contract. The MAS Python Developer will develop AI-driven solutions that integrate LLMs with enterprise monitoring and event management systems supporting VA operations. This role will build and optimize Python-based services and MCP integrations that automate event analysis, contextual enrichment, alert correlation, and incident insights. Working closely with Event Management and Major Incident teams, the developer will help improve operational workflows, reduce alert noise, and decrease MTTD and MTTR while ensuring solutions are secure, reliable, and scalable. The role will also provide technical mentorship and support continuous engineering improvement. This position can be performed remotely within the United States and will support Eastern Time working hours. Travel to regional sites as needed.

Requirements

• Bachelor’s degree in computer science, engineering, or related technical discipline.
• Eight years of relevant experience may substitute for a degree.
• 8+ years of professional software development experience with expert-level Python skills.
• Experience integrating LLMs or other AI models with enterprise applications or automation systems.
• Familiarity with MCP or similar structured API/orchestration frameworks.
• Background supporting monitoring, event correlation, or incident management platforms—ideally within large-scale or federal environments.
• Strong understanding of enterprise monitoring processes and operational workflows.
• US Citizen or Lawful Permanent Resident (Green Card)
• Willing and able to obtain and maintain Public Trust Clearance
• Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents
• If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully.

Nice To Haves

• Experience designing structured calls between AI models, MCP services, and downstream tools.
• Strong analytical skills with the ability to translate operational requirements into scalable technical solutions.
• Ability to collaborate across cross-functional teams and explain complex concepts clearly.

Responsibilities

• Design, build, and maintain MCP servers and Python services that coordinate structured reasoning workflows between LLMs and enterprise monitoring tools.
• Develop Python-based interfaces that generate and process MCP calls, enabling robust communication pathways between LLMs and downstream systems.
• Implement end-to-end pipelines where LLMs interpret events, retrieve contextual data via MCP, and return enriched insights to VA monitoring platforms.
• Build autonomous reasoning and correlation behaviors that analyze alerts, reduce noise, recommend escalation paths, and provide enriched incident context.
• Ensure all Python → MCP → Monitoring Tool workflows are high-performance, secure, and reliable.
• Write, maintain, and optimize production-grade Python code supporting 24×7×365 monitoring operations.
• Integrate new AI capabilities into existing event management, triage, and operational workflows across VA ESOM systems.
• Apply best practices for security, reliability, performance, and scalability in distributed environments.
• Work closely with Event Management and Major Incident teams to understand operational requirements and convert them into technical AI-driven solutions.
• Support efforts to reduce MTTD/MTTR through automated enrichment, improved correlation, and intelligent insight generation.
• Participate in post-incident reviews to identify opportunities for automation and further AI augmentation.
• Serve as a technical mentor for Python, MCP, and AI-driven automation workflows.
• Provide clear, concise progress updates to operations leadership.
• Promote engineering excellence, quality, and continuous improvement

Benefits

• paid time off
• healthcare benefits
• supplemental benefits
• 401k including an employer match
• discount perks
• rewards
• education reimbursement for certifications, degrees, or professional development
• funds for activities – virtual and in-person – e.g., happy hours, holiday events, fitness & wellness events, and annual celebrations
• charity galas/events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior