Position: Engineering Manager (C# | SQL)

The Engineering Manager is a highly skilled technical leader responsible for overseeing the design, development, and implementation of software solutions. They will guide a team of developers, ensuring projects are delivered on time, within budget, and to the highest quality standards. The Engineering Manager will also play a key role in mentoring and developing team members, fostering a culture of innovation and collaboration.

Responsibilities

• Technical Leadership:
• Architect and design complex software systems
• Lead the development team in implementing software solutions
• Ensure adherence to coding standards and best practices
• Conduct code reviews and provide constructive feedback
• Troubleshoot and resolve technical issues

• Project Management:
• Collaborate with project managers to define project scope and requirements
• Estimate project timelines and resource needs
• Track project progress and ensure timely delivery
• Manage risks and identify mitigation strategies

• Team Development:
• Mentor and coach junior developers
• Foster a collaborative and supportive team environment
• Conduct performance evaluations and provide feedback
• Identify training and development opportunities for team members

• Innovation:
• Stay abreast of emerging technologies and industry trends
• Evaluate and recommend new technologies for adoption
• Encourage experimentation and innovation within the team
  

Qualifications

• Experience:
• 12+ years of experience in software development
• 4+ years of experience in a leadership role
• Proven track record of delivering successful software projects
• Skills:
• Strong proficiency in C# programming languages
• Good knowledge on Java for reporting
• Strong on SQL - Microsoft azure
• Expertise in software development methodologies (e.g., Agile, Scrum)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Ability to work independently and as part of a team

Additional Skills (Preferred)

• Experience with cloud computing platforms (e.g., Azure)
• Knowledge of DevOps practices and tools
• Experience with machine learning or artificial intelligence