Director, Software Engineering(HR Technology)

Visa•Austin, TX

2d•$186,800 - $299,200•Hybrid

About The Position

Leads software development teams in delivering secure, scalable, high-quality fintech applications and platforms. Oversees the execution of the full software development lifecycle—from backlog refinement through build, test, deployment, monitoring, and iteration—ensuring delivery meets business priorities, regulatory requirements, and ethical standards. Drives disciplined agile and DevSecOps practices, automated testing, CI/CD pipelines, and continuous improvement to optimize delivery speed, quality, and resilience. Ensures development work integrates responsibly with AI/ML capabilities—including Generative AI and Agentic AI coding—and that all outputs adhere to established data governance, model explainability, and financial regulatory compliance standards. Acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture. Coaches and develops engineers to adapt to evolving tools, frameworks, and AI-driven workflows. Partners closely with product managers, QA, risk, compliance, and security functions to deliver safe, transparent, and customer-centric solutions. While primarily a leadership role, may spend up to 50–65% of time in hands-on coding, code reviews, and technical prototyping to guide best practices and maintain technical credibility. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Requirements

10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
Digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Strong proficiency in one or more modern stacks (frontend, backend, cloud), plus experience with performance optimization, data security, data modeling, and GenAI/LLM-enabled application patterns (e.g., RAG, prompt/tool orchestration, evaluation, and observability).
Experience with role-based access control and sensitive data handling (PII) is highly valued.
Experience building, deploying, and driving adoption of modern GenAI services and web applications with strong quality, scalability, and operational excellence
Constant drive to learn and apply new technologies (e.g., React/Angular, Kubernetes, Docker) and improve engineering practices
Experience collaborating with Product, UX, QA, DevOps/SRE, Agile/Scrum teams, and stakeholders such as HR and Security/Privacy to deliver outcomes

Nice To Haves

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Growth mindset with a passion for People Technology/employee experience; experience delivering HR, employee-facing, or enterprise workflow solutions is preferred
Comfortable pushing boundaries—simplifying experiences, automating workflows, and experimenting responsibly to improve outcomes

Responsibilities

Monitors throughput across multiple teams to determine capacity and oversees partnerships with stakeholders to define user requirements for complex projects.
Guides requirements gathering, feedback incorporation, and actionable metrics to assess delivery feasibility and reviews gaps in acceptance criteria.
Oversees translation of user requirements into system designs, ensuring alignment with business strategy and formalizing best practices.
Leads system architecture discussions, interprets findings from investigations, and owns design decisions for complex products.
Oversees project plans, release plans, and estimation processes, addressing escalated issues and removing technical obstacles.
Develops standards for code quality, security, and maintainability; updates security assessment processes to ensure code is free from threats.
Shapes best practices for debugging, automation, and code review across multiple products and teams.
Provides guidance on test planning, prioritizes tests, and ensures expected testing results across product features.
Leads system monitoring efforts, sets data analysis standards, and aligns project strategy for long-term value.
Provides technical expertise to resolve major incidents, ensures teams have resources to respond to incidents, and shares learnings to prevent recurrence.
Manages team decisions around developer tools, oversees selection and enhancement of tools, and shares best practices for complex products.
Identifies and develops engineering talent, ensures team skills support business goals, and disseminates knowledge to improve product reliability and performance.