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
