Manager of Software Engineering (Riversand, SQL, .NET)

Software Development Engineering Manager

Job Description:

We are looking for a seasoned Manager of Software Development Engineering with expertise in both software engineering and product management. In this role, you will lead our team to develop cutting-edge software solutions while aligning development efforts with strategic product goals.

• Responsibilities: Lead and mentor a team of software engineers, providing technical expertise and guidance.
• Work closely with product managers to ensure development efforts are in line with the product vision and overall strategy.
• Oversee the entire software development lifecycle, from initial concept to final deployment.
• Implement and promote best practices in software engineering and agile methodologies across the team.
• Manage and prioritize multiple projects at once, ensuring timely and successful delivery.
• Conduct regular performance reviews and create opportunities for team members' professional development.
• Participate in key architectural decisions, ensuring the scalability and robustness of solutions.
• Collaborate with stakeholders to gather requirements and provide clear updates on project progress.

• Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software development.
• 3+ years in a leadership role within software development.
• Strong understanding of product management principles and experience collaborating with product teams.
• Proficiency in modern software development tools, technologies, and methodologies.
• Excellent communication and interpersonal skills, with the ability to work cross-functionally.
• Proven ability to deliver high-quality software products on time and within scope.
• Experience working with agile development methodologies.

• Preferred Skills: Hands-on experience with RiverSand PIM implementation and support.
• Familiarity with cloud computing environments and DevOps practices.
• Knowledge of data analytics and machine learning.
• Understanding of UX/UI design principles.