Technical Engineering Director

Industry/Sector

Not Applicable

Specialism

Functional & Industry Technologies

Management Level

Director

Job Description & Summary

The TIDE team builds tax technology at scale - modernizing compliance workflows, integrating LLM-enabled capabilities into enterprise platforms, and changing how tax software is designed, built, tested, and supported.

You will be the senior technical leader for a portfolio of tax technology applications, leading an initial team of 30+ engineers and associated roles with scope to grow as the India delivery model matures. This is a hands-on technical leadership role - not a management layer. You will personally own delivery of at least one project while providing technical leadership across your portfolio: designing solutions, guiding architecture decisions, and pairing with engineers on the hardest problems.

You're not reviewing every PR, but you're credible enough technically that your senior engineers seek your input on hard decisions - and trust your judgment when you give it. You should expect to spend meaningful time each week in technical design, architecture review, enforcing engineering standards, incident/problem solving, and direct coaching of senior engineers.

Your portfolio includes applications that need stabilization - regulatory updates, compliance maintenance, production reliability - alongside modernization work that starts from day one. The dual mandate is to stabilize and transform simultaneously, not sequentially. That means building modern development standards, AI-assisted engineering workflows, and local decision-making capability. Concretely: you'll evaluate where LLMs can reduce the manual burden of compliance updates, build your team's fluency with AI-assisted development tools, and establish the engineering discipline required to put AI-enabled capabilities into production responsibly.

This role is for a builder-leader: someone who has led engineering teams at scale, improved engineering discipline, owned real application outcomes, and remains technically credible enough to guide senior engineers through difficult architecture, reliability, and modernization decisions.

Lead an initial team of 30+ engineers across multiple tax technology applications, with scope to grow

Design and implement end-to-end solution architectures for large-scale platforms

Stay close enough to the work to guide architecture, review critical designs and code paths, troubleshoot high-severity issues, and pair with engineers on the most complex problems

Own technical decisions locally - architecture, tooling, patterns, trade-offs

Drive engineering quality in partnership with US colleagues: code review standards, testing practices, deployment reliability

Partner with US portfolio leadership (Directors, Senior Managers) on roadmap execution

Mentor and develop senior engineers and managers on your team

Identify and address technical debt, performance bottlenecks, and scalability gaps

Own operational excellence for your portfolio: uptime, incident response, release reliability, and support burden reduction

Establish and maintain regular operational reporting (production health, delivery velocity, quality metrics, technical debt) for US leadership

Champion modern engineering practices: CI/CD, infrastructure as code, observability

Drive AI adoption across your team: AI-assisted development workflows, LLM integration, agentic automation

Evaluate and implement AI/ML capabilities that improve delivery speed, accuracy, or client outcomes

Build your team's fluency with AI tools (coding assistants, test generation, automated review)

What you must have

Bachelor's Degree in Computer Science, Engineering, or related field

18+ years of software engineering experience with progressive technical leadership

Proven ability to lead teams of 30+ engineers across multiple workstreams

Strong hands-on skills - you can still architect, code, debug, and deploy

Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)

Deep understanding of microservices, event-driven architecture, and API design

Experience with .NET/C#, modern JavaScript/TypeScript, or Python at enterprise scale

Track record of improving engineering quality, velocity, and team capability

Excellent communication with both technical teams and business stakeholders

Experience working in distributed/global team models (US + India collaboration)

What sets you apart

Experience building or integrating AI/ML systems in production (LLMs, agentic workflows, RAG, embeddings)

Hands-on experience with AI-assisted development tools and workflows

Experience in financial services, tax technology, or regulatory compliance domains

Experience transforming teams from staff-augmentation to autonomous delivery

Familiarity with Azure DevOps, agile delivery practices at scale

Travel Requirements

Up to 20%

Job Posting End Date