Lead Software Engineer

Responsibilities

• Analyze and Improve Processes: Examine business workflows to identify opportunities for automation, enhancement, or support.
• Software Development: Design, test, and develop software systems with services, APIs, and microservices architectures.
• Upgrade Systems: Modernize and maintain existing applications to ensure optimal performance.
• Documentation: Document system capabilities to aid training, testing, and support.
• Issue Resolution: Address production issues and bugs effectively.
• Mentorship and Leadership: Guide and mentor team members to foster growth and productivity.
• Collaboration: Participate in process improvement discussions and lead by example to promote a professional and respectful work culture.
• Ownership: Take responsibility for software components, ensuring quality throughout the development lifecycle.
• Technology Advocacy: Learn and implement new technologies as appropriate, while sharing knowledge with the team.
• Communication: Convey complex technical concepts to both technical and non-technical stakeholders effectively.
• Project Management: Maintain work backlogs, prioritize tasks, and influence team focus on essential outcomes.

Qualifications

• Bachelor's degree in a computer-related field or at least 5 years of relevant experience.
• Proficiency in C#, JavaScript, HTML, Cloud, DevOps, Automation, Agile methodologies, software architecture, and design.
• Strong technical and people leadership skills, with the ability to influence and support team success.
• Exceptional interpersonal skills and a proven ability to work well with others.
• Ability to tackle complex problems and provide effective solutions.
• Excellent verbal and written communication skills.
• Commitment to delivering high-quality work with attention to detail and business needs.
• Ability to switch tasks as needed and adapt to changing priorities.

Preferred Experience

• With Azure, Azure Cloud Resource Usage, message-passing architecture concepts, and Dev Containers.
• A strong understanding of API styles and service design principles.
• Familiarity with machine learning (ML), artificial intelligence (AI), and large language models (LLMs) for potential integration into software solutions.
• Familiarity with warehouse management systems is a plus.