Job Description

Mission: Industrialize concepts into robust, production-grade platforms that the business can rely on. This is a flexible, full-stack Engineering role responsible for building and maintaining the software platform that connects AI models to business processes, as well as building agents directly within third-party platforms like Glean, Databricks, and Azure AI Foundry — while extending a software engineering mindset — testability, reliability, and maintainability — to agentic and automation systems, and helping other teams build to that same bar, so systems can be trusted to run in production without constant rework.

Key Responsibilities:

·         Platform Engineering: Build and maintain a full-stack software platform (frontend, backend, and data layers) that serves as the foundation for automation and AI-driven solutions across the business.

·         Production Hardening: Refactor prototypes into robust, production-grade code capable of handling high-volume transactions.

·         Engineering Rigor for Agentic Systems: Apply software engineering discipline — automated testing, error handling, observability, and reliability practices — to agentic frameworks and automation pipelines, not just traditional application code, so systems are durable and require minimal rework.

·         Advanced Logic Orchestration: Design complex workflows (such as agentic frameworks or LLM chaining) to solve intricate business problems.

·         System Integration: Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces.

·         Third-Party Platform Enablement: Continuously learn and build agents and automations directly within emerging third-party platforms (e.g., Databricks, Glean, Azure AI Foundry, Google), using them as core building blocks for new solutions and evaluating/adopting new tooling as the ecosystem evolves.

·         Resilience Engineering: Implement comprehensive logging, monitoring, and self-recovery mechanisms to minimize downtime.

·         Consulting & Best Practices: Document and evangelize engineering best practices and design patterns — including how to build high-quality, testable agents on platforms like Glean — and coach other teams so agents and automations they build independently meet the same reliability bar.

·         Advanced Support Escalation: Act as the technical escalation point for complex code-related issues after deployment.

Required Qualifications:

·         Education: Bachelor’s degree in Computer Science, Software Engineering, or related field.

·         Experience: 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering.

·         Full-Stack Technical Depth: Strong proficiency across the stack — Frontend (ReactJS/Vite), Backend (Python), and Data (PostgreSQL/Databricks) — plus REST APIs and Workflow Orchestration tools.

·         Engineering Rigor: Strong focus on code quality, error handling, and testing, applied equally to traditional software and to agentic/automation systems.

·         Platform & Tooling Agility: Demonstrated ability to rapidly learn and build production-quality agents and automations directly within third-party platforms such as Databricks, Glean, Azure AI Foundry, and Google tooling — not just custom code — to deliver solutions.

Preferred Qualifications:

·         VSSM Business Knowledge: Familiarity with the VSSM business domain is a major advantage in prioritizing and shaping platform investments.

·         Conceptual Thinking: Ability to work on complex assignments requiring originality and ingenuity in approach.

·         Impact Focus: Experience setting objectives that directly influence results and providing measurable contributions.

·         Adaptability: Resilience in approaching setbacks and comfort operating in fast-changing technical environments; ability to analyze failures and identify improvements.