Engineering Manager (C# SQL)

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