Software Engineering Manager

We are looking for a skilled and experienced Software Engineering Manager to lead a dynamic team in Los Angeles, California. This role requires a balance of hands-on development and leadership, with a focus on modernizing a legacy monolithic application into a scalable, service-oriented architecture. The ideal candidate will have a strong technical background, excellent communication skills, and a passion for mentoring engineers while driving platform evolution.

Responsibilities: • Lead a team of engineers, dedicating 60-70% of your time to hands-on development and 30-40% to mentoring and guiding team members. • Develop and refactor services using .NET technologies, ensuring alignment with service-oriented architecture principles. • Break down tightly integrated application functionalities into reusable and well-defined services. • Manage the delivery of new features and improvements while balancing platform modernization efforts. • Collaborate with architecture and platform teams to define service boundaries, integration patterns, and standards. • Design and implement APIs, service interfaces, and integration patterns that enhance scalability and extensibility. • Review and approve code contributions to ensure they meet quality, performance, and security standards. • Build and maintain shared components, utilities, and frameworks to accelerate development and promote reuse. • Ensure adherence to best practices in CI/CD, DevOps, and operational readiness across the team. • A minimum of 12 years of experience in software engineering, technical leadership, and architecture. • Advanced expertise in .NET technologies, including C#, VB.NET, and Microsoft SQL Server. • Proven experience modernizing legacy systems into service-oriented architectures. • Hands-on experience with cloud platforms, preferably Azure, and familiarity with cloud-agnostic environments. • Strong knowledge of APIs, messaging systems, event-driven designs, and distributed systems. • Proficiency in CI/CD pipelines, containerization tools like Docker and Kubernetes, and DevOps practices. • Experience working with both relational and NoSQL databases. • Exceptional communication and collaboration skills, with the ability to work effectively across engineering and architecture teams.

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