Jobs · Information Technology · Connecticut

.Net Software Engineering Manager

MDAEdge · Hartford, CT · 1 mo ago
On-siteInformation TechnologyFull-time

Key Responsibilities

  • Drive accountability for customer and business outcomes by leading teams to solve complex problems with lean, high-quality designs.
  • Provide technical leadership, advocating for evolutionary releases like alpha, beta, and MVP while ensuring code integrity, quality, architecture, and alignment with goals.
  • Stay hands-on with design, code, reviews, optimizations, and standards to boost team velocity, resolve blockers, address technical debt, and maintain comprehensive quality.
  • Learn and experiment with new technologies, mentoring engineers to apply them effectively.
  • Develop lean solutions via rapid experimentation, engaging customers and product teams for timely delivery.
  • Favor iterative, evidence-based delivery over extensive planning to handle complexity with supportable solutions.
  • Collaborate with cross-functional teams (product, experience, delivery, infrastructure, security) to balance feasibility, viability, usability, and value.
  • Apply expertise in Agile, DevSecOps, CI/CD, Blue-Green/Canary deployments, and A/B testing to optimize delivery with minimal waste.
  • Acquire domain knowledge quickly, translating business needs into engineering plans like sprints and tasks.
  • Communicate complex technical concepts clearly, influencing stakeholders with evidence-based arguments.
  • Build relationships across levels, fostering co-creation and consensus for feasible solutions.

Key Requirements

  • Bachelor's degree in computer science, software engineering, or related field; advanced degree preferred but experience is key.
  • 10+ years in programming (Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing); 5+ years managing engineering teams from inception to delivery.
  • 5+ years hands-on with cloud-native engineering (FaaS/PaaS/microservices on Azure).
  • 3+ years with AI/ML and GenAI preferred.
  • Deep knowledge of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube for rapid, high-quality delivery.
  • Strong foundation in software architecture/design (BCD, sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation).
  • Excellent interpersonal and organizational skills to manage diverse situations, projects, and priorities with passion, empathy, and care.

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