Senior Consultant, Engineering Nashville, TN or Richmond, VA

At UDig, Senior Consultants don’t just contribute to delivery — they drive it. You’ll lead engineering teams as a player‑coach, shape technical solutions for complex client problems, and set the standard for how modern, AI‑native delivery looks on an engagement. This is a role for engineers who want to lead without leaving the craft behind.

• Career Growth —Own your path with UDig Elevate, offering a clear trajectory for career growth and leadership opportunities.
• Consulting with Purpose — Contribute to real solutions that directly impact clients from your first day.
• Flexibility & Balance — Hybrid work environment with opportunities for high‑caliber in‑person collaboration.
• Investment in You — $1,500 annual training budget, mentorship, and hands‑on learning.
• Competitive Compensation — Strong salary, performance‑based bonuses, and career progression.
• Comprehensive Benefits — PTO, parental leave, 401(k) match, health, dental, vision, and more.

• Lead engineering teams in a player‑coach capacity — writing and reviewing code, making key technical decisions, and developing the consultants around you.
• Architect and deliver full‑stack, cloud‑native solutions across software and data domains, setting standards the team executes against.
• Champion AI‑native delivery practices on your engagements: establishing AI‑assisted workflows, setting quality thresholds for AI‑generated output, and operating as the human above the loop on critical paths.
• Facilitate technical design sessions, architecture reviews, and client‑facing whiteboarding to align stakeholders and drive decisions.
• Conduct rigorous code reviews that enforce engineering standards and serve as a genuine learning tool for junior team members.
• Drive agile delivery — backlog refinement, sprint planning, retrospectives, and demos — with an eye toward outcomes, not just process.
• Build trusted relationships with client technical leads and project sponsors, translating engineering tradeoffs into business language.
• Establish and maintain a shared definition of done across software, data, and design work streams — running cross‑functional ceremonies and driving structured trade‑off decisions using architecture docs, estimates, and delivery plans.
• Contribute reusable patterns, frameworks, and documentation that accelerate future UDig engagements.

• 6–9 years of software engineering experience, with demonstrated progression into technical leadership.
• Prior experience in a technology consulting environment is required — you know how to build relationships, manage expectations, and tailor solutions to clients.
• Fluency across the full engineering stack: backend APIs, frontend frameworks, cloud infrastructure, and data systems; comfortable across multiple languages and platforms.
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, containerization, and infrastructure‑as‑code practices.
• Working knowledge of data engineering contexts — pipelines, warehousing, and how data‑aware systems are built — sufficient to lead across both software and data work streams.
• Demonstrated command of AI‑native development: you actively orchestrate AI tools to accelerate delivery, govern their output with appropriate quality gates, and coach others on effective use. You understand the tradeoffs, not just the possibilities.
• Proven experience mentoring and elevating engineers, with the ability to give direct, constructive feedback.
• Strong communication skills — able to hold a technical conversation with engineers in the morning and a strategic conversation with client leadership in the afternoon.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.