Tech Lead (.NET)

About Us We're rebuilding vertical software with AI — from the inside. Embrace owns the software running inside 16% of the Fortune 500, 45+ state agencies, and 450+ banks and credit unions. We acquire entrenched vertical software businesses and rebuild them around AI — products, operations, go-to-market, all of it. Our Venture Lab launches new AI-native products into those same markets, using the distribution and customer relationships our portfolio already owns. You'll ship AI into production against real workflows, real customers, and a P&L you can see move within a quarter. We hire people who want scope, speed, and ownership, and who are tired of working on AI that never reaches a customer. If you want to spend the next five years shipping into software that already runs the economy, talk to us. Job Description This is a remote position. Embrace Industrial Group supports some of the world’s largest and most complex manufacturers—serving 8 of the Top 10 global Chemical companies, 3 of the Top 10 Automotive companies, and 3 of the Top 5 Oil & Gas companies, along with industry leaders in Heavy Machinery and Food Manufacturing. Radiant RFID is a next-generation IoT platform under the Embrace umbrella, focused on enterprise-grade asset tracking. Our technology empowers organizations to manage and monitor critical and mobile assets in real time—boosting visibility, accountability, and operational efficiency, all while requiring minimal IT infrastructure. We are seeking a Technical Lead who is equally at home writing production code and leading a team. This is a hands-on role: you will spend a significant portion of your time doing software architecture and development, while also owning the team’s engineering process, mentoring engineers, and championing AI adoption. You will bridge technical execution and business strategy, helping our cloud-based IoT asset tracking platform scale to meet enterprise customer demand. What You’ll Do Hands-On Development & Architecture (core focus) • Design and implement critical features and platform components – this is an active coding role. • Own technical architecture decisions: system design, service boundaries, data modelling, and API contracts. • Lead code and design reviews, setting the technical bar and coaching engineers through them. • Resolve complex engineering challenges, performance bottlenecks, and cross-cutting concerns. • Drive adoption of engineering best practices: TDD, CI/CD, observability, and security-by-design. Team & Process Leadership • Lead a small agile team – run sprints, set goals, unblock engineers, and manage delivery commitments. • Mentor and develop engineers through regular 1:1s, feedback, and pair programming. • Collaborate with Product and Operations to refine roadmaps and translate requirements into technical plans. • Hire and onboard engineering talent in partnership with leadership. AI Adoption • Lead the team’s adoption of AI development tools (e.g. GitHub Copilot, AI-assisted testing) and build internal best practices. • Identify opportunities to embed AI/ML capabilities into the Radiant platform to enhance customer value. • Evaluate emerging AI tools and partner with leadership to define an AI strategy roadmap for engineering. Requirements Technical • 8+ years of professional software development experience, including production systems at scale. • Expert-level C# and .NET (Framework & Core); strong SQL and Microsoft SQL Server. • Experience with ASP.NET Web API, React, and modern JavaScript frameworks. • Proven track record designing concurrent, scalable, fault-tolerant distributed systems. • Solid OOP fundamentals, design patterns, and experience with message brokers (MQTT, RabbitMQ). • TDD mindset with strong unit and integration testing practices. Leadership & AI • 3+ years in a technical lead or senior engineering lead role with direct team ownership. • Demonstrated ability to manage people, run agile processes, and deliver complex software projects. • Hands-on experience with AI coding assistants and a genuine drive to advance AI adoption in engineering teams. • Strong communicator – able to convey technical decisions clearly to both engineers and business stakeholders. Preferred Qualifications AWS or other cloud platforms • Docker/Kubernetes • Redis • ORMs (NHibernate, Dapper) • IoT protocols • RFID/BLE/GPS technologies • ML model integration or AI-powered feature development Benefits

• Competitive salary commensurate with experience.
• Opportunities for career advancement and professional development.
• Experience collaborating with a diverse, global team within a remote work setting.