eDOC Innovations is seeking a Director of Product Engineering to provide hands-on technical leadership and guide the long-term architecture and modernization of mission-critical financial software platforms - in an engineering practice where AI coding agents do most of the typing, and the human's value is architecture, judgment, and direction.
This is a senior, architect-led role for someone who leads by directing AI-assisted development rather than by hand-coding every line: decomposing problems, setting architectural direction, and rigorously reviewing AI-generated code for correctness, security, and fit. You'll work closely with a small, experienced team, raising their capability with AI-assisted development while evolving a substantial legacy codebase and designing the next generation of our products.
Our platforms support hundreds of credit unions nationwide and operate in a highly regulated environment, where security, stability, and thoughtful engineering matter.
This position involves access to sensitive financial data. A background investigation is required.
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Lead product architecture and engineering direction across multiple platforms
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Direct AI coding agents (e.g., Claude Code) as the primary implementation workforce - decomposing work into agent-directable tasks, engineering prompts and context, and rigorously reviewing AI-generated code for correctness, security, and architectural fit
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Operate AI-assisted development responsibly under eDOC's Corporate AI Policy - approved-tool usage, data-handling safeguards, and model-training opt-outs - given our regulated financial-services environment
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Guide modernization of a large legacy Delphi codebase toward a Go-based target architecture, making and documenting the key architectural decisions along the way
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Mentor and teach other developers - including how to work effectively with AI-assisted development - raising the whole team's capability
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Establish development standards, architectural patterns, and code-review practices for a small team
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Read and evaluate code across our stack (Go, Delphi, PHP, JavaScript/HTML/CSS, MySQL) well enough to judge quality, correctness, and architectural soundness - deep hand-coding fluency in every language is not the point; sound judgment is
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Ensure strong practices around encryption, secure data handling, image processing, and compliance-driven development
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Partner with leadership to align technology decisions with product, compliance, and business goals
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Demonstrated strength in agentic/AI-directed software development - prompt and context engineering, decomposing complex problems into AI-executable tasks, and rigorously reviewing AI-generated code
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Familiarity with (or willingness to quickly adopt) responsible AI governance practices - comfortable operating under a formal AI policy that restricts which tools/models may touch client and financial data
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Senior-level software architecture experience - able to make, document, and defend architectural decisions for complex, long-lived systems
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Proven ability to teach and mentor developers, including in AI-assisted development practices
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Ability to read and evaluate code across multiple languages and paradigms (modern services, legacy systems, web front ends, relational databases) - breadth of comprehension matters more than hand-coding depth in any one language
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Experience with REST API design and service-oriented architectures
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Understanding of encryption, secure data handling, and working in regulated/compliance-driven environments (financial services or similar)
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Proficiency with Git or similar source control
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Strong communication skills and comfort working closely with leadership and mentoring a small team
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Small, highly collaborative engineering team that builds primarily by directing AI coding agents - architecture and review judgment matter more than typing speed
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Minimal bureaucracy, high ownership
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On-premises role with direct access to stakeholders and decision-makers
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Focus on long-term platform health, not churn or hype
Middlebury offers a rare combination of challenging technical work and exceptional quality of life:
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Short commutes, walkable downtown, and a strong local community
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Easy access to outdoor recreation - hiking, biking, skiing, paddling
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Ideal for technologists who value craft, balance, and stability over big-city grind
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Senior architects/engineers who lead through directing AI-assisted development, not by hand-coding every line
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Natural teachers who enjoy raising a team's capability
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People who want real ownership of architecture decisions in a small, high-trust team
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Technologists who appreciate both legacy systems and modern platforms
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People who want to live and work in Vermont and value community, nature, and balance
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Leaders interested in advancement to VP or C-level as the platform and organization evolve
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Candidates seeking remote-only work
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Traditional large-team people managers
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Those who want to spend most of the day hand-coding rather than directing AI and reviewing its output
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Those uninterested in legacy modernization or mentoring others
