Vice President of Software Engineering

VP Engineering / Head of Platform & Developer Experience

Key Responsibilitie

• sEstablish and evolve organization-wide software engineering standards and practices across the full SDLC, including software design, source control, code review, testing, CI/CD, security, documentation, release management, and production readiness
• .Build a strong software engineering culture, establishing clear expectations around code quality, testing rigor, design reviews, architectural discipline, and engineering craftsmanship
• .Lead the strategy, design, and development of the firm's internal developer platform and developer tooling, treating developer experience as a product and creating scalable golden paths, self-service capabilities, frameworks, and tooling that make it easier for engineers to build high-quality software
• .Own Developer Experience and Engineering Effectiveness, identifying friction throughout the development lifecycle and improving developer productivity, cycle time, PR quality, test coverage, deployment frequency, and overall software delivery performance
• .Define how AI-assisted development integrates into the software engineering lifecycle, balancing the speed and productivity benefits of agentic coding with the engineering rigor required to safely ship production software
• .Establish standards and guardrails for AI-generated and AI-assisted code, including expectations for code review, testing, documentation, security, architectural alignment, and human oversight
• .Lead the adoption and governance of AI-powered developer tools such as GitHub Copilot, Cursor, Claude Code, and emerging agentic development platforms, developing repeatable workflows that improve engineering productivity without compromising software quality
• .Develop an opinionated framework for human AI software development, defining where AI can accelerate prototyping, implementation, testing, documentation, and code review—and where traditional engineering discipline and human judgment remain essential
• .Lead the creation and governance of architecture review processes, including Architecture Decision Records (ADRs), design reviews, reference architectures, and architectural guardrails for critical systems and technical decisions
• .Own and evolve source control, CI/CD, testing, and developer workflow standards, including GitHub Enterprise and GitHub Advanced Security, with an emphasis on creating an effective and secure developer experience
• .Partner with cybersecurity teams to embed secure software development practices throughout both traditional and AI-assisted development workflows, including secret scanning, dependency management, vulnerability management, software supply chain security, and secure coding standards
• .Partner closely with AI, data, product, cybersecurity, and business leaders to establish engineering standards that enable teams to move quickly while maintaining consistency, security, maintainability, and architectural integrity
• .Serve as a hands-on technical leader initially, helping build the foundational tooling, standards, processes, and engineering culture while establishing a longer-term roadmap for the software engineering organization
• .Build and develop a high-performing software engineering organization, defining hiring standards, onboarding practices, career paths, engineering expectations, and technical leadership capabilities as the function grows

.Core Qualifications & Requirement

• s10 years of experience in software engineering, including 3–4 years leading software engineering teams and/or developer platform, Developer Experience, Engineering Effectiveness, or SDLC functions
• .Strong foundation as a software engineer, with meaningful hands-on experience building production software and a deep understanding of how software is designed, written, reviewed, tested, deployed, and maintained
• .Proven experience leading teams primarily composed of software engineers and building engineering organizations focused on software development, developer tooling, or internal engineering platforms
• .Experience building or owning an internal developer platform as a software product, including developer tooling, frameworks, APIs, CLIs, golden paths, self-service capabilities, CI/CD tooling, or IDE integrations
• .Deep understanding of the software development lifecycle, including requirements, system design, implementation, code review, automated testing, deployment, production readiness, and maintenance
• .Demonstrated success establishing and driving adoption of engineering standards across an organization, including coding practices, code review culture, testing standards, architectural governance, documentation, and software quality
• .Strong understanding of Developer Experience and Engineering Effectiveness, including approaches to measuring and improving cycle time, PR quality, test coverage, deployment frequency, DORA metrics, and developer productivity
• .Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar, with practical knowledge of agentic coding workflows and their application within professional software engineering organizations
• .Experience defining standards or governance for AI-assisted software development, including code review, testing, security, documentation, architectural integrity, and production readiness of AI-generated code
• .Strong proficiency in modern software development languages and ecosystems, ideally including Python, TypeScript/JavaScript, or similar languages, with the technical depth to engage directly with engineers on architecture, code quality, and tooling decisions
• .Experience with modern source control, CI/CD, testing, and software security ecosystems, including GitHub Enterprise, GHAS, SAST/DAST tooling, dependency management, and secure SDLC practices
• .Strong leadership, communication, and stakeholder management capabilities, with the ability to influence engineering behavior and drive adoption, rather than relying solely on top-down governance
• .Ability to operate as both a hands-on technical leader and organizational builder, establishing the foundation today while growing toward broader software engineering ownership over time

.Nice-to-Have Qualification

• sExperience building developer platforms or engineering productivity functions within financial services, fintech, enterprise technology, or other highly regulated environments
• .Experience introducing AI-assisted development practices into an established software engineering organization
• .Familiarity with emerging agentic development frameworks and standards, including Model Context Protocol (MCP) or similar technologies
• .Experience supporting engineering teams working across AI, data, analytics, and enterprise application development
• .Familiarity with cloud platforms and modern deployment environments, including Azure, AWS, containers, and Infrastructure as Code, while maintaining a software engineering and developer experience orientation

.Core Technical & Engineering Skill

• sSoftware Engineering Leadership & Engineering Cultur
• eDeveloper Experience / Developer Productivit
• yInternal Developer Platforms & Developer Toolin
• gSoftware Development Lifecycle (SDLC
• )Python, TypeScript / JavaScript, or comparable language
• sAI-Assisted Development — GitHub Copilot, Cursor, Claude Cod
• eAgentic Coding Workflows & AI Development Governanc
• eCode Review, Automated Testing & Software Qualit
• yCI/CD & Software Delivery Practice
• sGitHub Enterprise & GitHub Advanced Securit
• ySecure Software Development Lifecycl
• eArchitecture Governance, ADRs & Design Review
• sEngineering Effectiveness & DORA Metric
• sGolden Paths, Self-Service Tooling & Developer Enablemen