Lead. Innovate. Grow. Make an Impact. 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.
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 tradeoff 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.
Join UDig - Where Consulting Meets Innovation. 
