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. Why Top Consultants Choose UDig 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. What You’ll Do 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 workstreams — 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. What You’ll Bring 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 workstreams. 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. #J-18808-Ljbffr