Technical Manager (.NET / React / QA)

Duties & Responsibilities

• Design, architect, and develop scalable full-stack applications using .NET / ASP.NET Core (C#) on the backend and React / TypeScript on the frontend.
• Define and enforce system architecture patterns for distributed, microservices-based, and event-driven systems emphasizing resilience, scalability, and maintainability.
• Develop and optimize RESTful APIs, microservices, and integrations with messaging platforms (Azure Service Bus, Kafka, or Solace).
• Integrate AI-backed APIs and LLM services into platform features such as personalization, intelligent search, and AI-assisted order workflows by connecting to established AI services and embedding their outputs into application logic.
• Design secure, scalable integration patterns for consuming AI/ML APIs and services (e.g., Azure OpenAI, OpenAI API, Azure Cognitive Services) within the application stack.
• Apply practical prompt engineering techniques, manage context windows effectively, and implement output validation to ensure LLM API responses are safe, relevant, and usable within the application.
• Collaborate with data and analytics teams to consume ML model outputs via APIs and embed predictions into application logic (e.g., personalization, recommendations) no ML model building required.
• Champion responsible AI practices including bias awareness, content moderation, rate limiting, cost controls, and auditability of AI-generated outputs.
• Use AI-assisted development tools (GitHub Copilot, Azure AI) to accelerate delivery and promote their adoption across the engineering team.
• Work with data and platform teams to understand how AI services are deployed and monitored, ensuring application-side integrations handle model updates, versioning, and service changes gracefully.
• Lead design reviews, code reviews, and technical spike initiatives; champion best practices in code quality, security, and performance optimization. · Mentor junior and mid-level engineers through pair programming, design discussions, and constructive code feedback.
• Collaborate with product managers, UX designers, data teams, and platform engineers to translate business requirements into robust technical solutions.
• Drive CI/CD practices, automated testing strategies, and release readiness across the team.
• Monitor production systems, diagnose complex performance and reliability issues, and lead root-cause analysis and resolution.
• Contribute to technical documentation, architecture decision records (ADRs), and runbooks.
• Participate in sprint ceremonies, backlog grooming, and capacity planning.

Requirements

Basic Qualifications · Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent experience. · 11-14 years of total software engineering experience, with at least 4 years directly managing engineers across a full-stack team. · Demonstrated ability to own and deliver large-scale engineering initiatives end-to-end: from architectural design through production deployment and post-release support. · Strong architectural mindset: experience making design decisions for distributed systems, microservices, RESTful APIs, event-driven architectures, and cloud-native platforms on Azure (App Services, AKS, Service Bus, Key Vault, Entra ID). · Deep hands-on background in .NET / ASP.NET Core / C# and a strong working understanding of React and modern JavaScript/TypeScript frontend development. · Solid understanding of QA automation principles: test pyramid, automation frameworks (Selenium, Playwright), and API/integration test strategies. · Proven track record of building and developing engineering teams: hiring, performance management, coaching, and retention. · Proficiency with CI/CD tooling (Azure DevOps, GitHub Actions) and modern DevOps practices. · Excellent communication and stakeholder management skills; able to translate technical complexity into business language and influence decisions at senior levels. · Strong analytical and problem-solving skills; data-driven approach to managing team health and delivery metrics (cycle time, defect rates, deployment frequency, MTTR). · Experience with Azure cloud services including App Services, AKS, Service Bus, Key Vault, and Entra ID (Azure AD). · Experience with the full SDLC: requirement analysis, design, testing, deployment, documentation, and post-release support. · Experience with unit, integration, and automation testing frameworks (xUnit, NUnit, Selenium, Playwright). · Experience leading Agile ceremonies: sprint planning, retrospectives, quarterly roadmap planning, and cross-team dependency management. · Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. · Excellent problem-solving skills with a bias for action and a "will be done" delivery mindset.

Preferred Qualifications · Master’s degree in Computer Science, Engineering, or a related field.

• Working knowledge of Java and Spring Boot, sufficient to review designs, assess technical debt, and guide the team on backend service decisions. · Hands-on experience with Generative AI, LLM APIs (Azure OpenAI, OpenAI), agentic AI workflows, RAG pipelines, or AI-assisted developer tooling (GitHub Copilot). · Experience with load and performance testing frameworks: JMeter, StressStimulus, Gatling, or k6. · Experience managing distributed teams across onshore/offshore or GCC model structures. · Familiarity with eCommerce or print-on-demand platform engineering. · Experience with observability and monitoring tooling: Splunk, Application Insights, Dynatrace, or similar. · Exposure to prompt engineering, AI-driven test generation, or integrating AI productivity tools into engineering workflows. · Experience with Agile at scale: SAFe, LeSS, or leading multiple scrum teams within a single program. · Familiarity with Blazor (WASM or Server) for .NET-based frontend development. · Experience with secure application development practices and DevSecOps principles (OWASP, secrets management, vulnerability scanning). · Hands-on experience with Generative AI tools/APIs (e.g., OpenAI, Copilot, Azure OpenAI)