.NET Tech Lead

What the role needs

• We are hiring a Tech Lead with strong expertise in .NET, Microsoft Azure, and event-driven microservices to lead the technical delivery of a cloud-native IoT platform in the life sciences domain.
• Req.#1117541626
• Own the end-to-end technical solution and drive architecture decisions
• Lead discovery activities, including architecture assessments, integration design, ERP REST API integrations, and non-functional requirements
• Design and evolve event-driven services with a focus on messaging patterns, idempotency, ordering, replay capabilities, and service consistency
• Drive the design of multi-tenant solutions, security models, audit trails, electronic signatures, and data residency capabilities
• Lead distributed engineering teams through design reviews, technical guidance, and engineering best practices while remaining hands-on in critical areas
• Collaborate with platform teams on CI/CD processes, environment management, framework upgrades, and release coordination
• Define technical acceptance criteria related to performance, security, and scalability
• Participate in technical planning, architecture reviews, and risk management activities
• Promote AI-assisted engineering practices and continuous improvement initiatives
• 10+ years of software engineering experience with strong .NET development expertise

From the employer

We are hiring a Tech Lead with strong expertise in .NET, Microsoft Azure, and event-driven microservices to lead the technical delivery of a cloud-native IoT platform in the life sciences domain. In this role, you will work closely with architects and engineering teams, acting as a bridge between onsite and distributed development teams. The platform is built on Azure using AKS, Event Hubs, Service Bus, Azure SQL, Dapper, Elasticsearch, Redis, Angular, Azure DevOps, Terraform, and Helm. Most initiatives focus on extending and enhancing existing services within a large-scale microservices ecosystem. Req.#1117541626 Responsibilities: • Own the end-to-end technical solution and drive architecture decisions • Lead discovery activities, including architecture assessments, integration design, ERP REST API integrations, and non-functional requirements • Design and evolve event-driven services with a focus on messaging patterns, idempotency, ordering, replay capabilities, and service consistency • Drive the design of multi-tenant solutions, security models, audit trails, electronic signatures, and data residency capabilities • Lead distributed engineering teams through design reviews, technical guidance, and engineering best practices while remaining hands-on in critical areas • Collaborate with platform teams on CI/CD processes, environment management, framework upgrades, and release coordination • Define technical acceptance criteria related to performance, security, and scalability • Participate in technical planning, architecture reviews, and risk management activities • Promote AI-assisted engineering practices and continuous improvement initiatives Requirements: • 10+ years of software engineering experience with strong .NET development expertise • Previous experience as a Tech Lead, Solution Architect, or similar leadership role • Strong Azure cloud experience, including AKS/Kubernetes, Service Bus, Event Hubs, Azure SQL, Redis, Key Vault, API Management, and Blob Storage • Proven experience designing and implementing event-driven microservices and distributed systems • Strong understanding of asynchronous messaging, eventual consistency, idempotency, and failure recovery patterns • Solid SQL Server and data modeling experience within SaaS or multi-tenant environments • Experience with Dapper and direct SQL development • Working knowledge of Angular and TypeScript • Hands-on experience with Azure DevOps, CI/CD pipelines, Terraform, and Helm • Good understanding of OAuth 2.0, OpenID Connect, SSO, and role-based access control • Strong communication skills and experience leading distributed engineering teams Nice to have: • Experience with IoT or telemetry platforms • Experience processing time-series data • Elasticsearch expertise • Experience with Application Insights, New Relic, or similar observability tools