Principal Software Engineer - Remote

Requirements

• Experience: 7+ years in software development, including 3+ years in leadership.
• Technical Skills: Proficient in multiple languages (Java, C++, C#, Python, JavaScript, etc.), full-stack development, modern architectures (microservices, event-driven), CI/CD, Docker, and Kubernetes.
• Software Development Practices: Strong in OOP, functional programming, scripting, UX best practices, unit testing, TDD/BDD, Agile/Scrum, and database management (SQL & NoSQL), with exposure to AI-assisted development tools
• Leadership & Project Management: Proven track record in managing software products, leading teams, and delivering solutions with a focus on quality and timeliness
• Communication & Collaboration: Excellent problem-solving, interpersonal, and client management skills, with the ability to explain technical concepts to non-technical audiences.
• Additional Skills: Experience with cloud platforms (AWS, Azure, GCP), version control (Git), testing frameworks, software security, and adapting to fast-changing environments.

Your responsibilities will include:

• Overseeing the design, development, and implementation of new software systems and enhancements to existing systems
• Leading by example through hands-on coding, taking ownership of the main development work on critical features and core systems including contributing to problem definition and solution design in evolving requirements
• Fostering a creative and cohesive unit capable of delivering complex software projects
• Coordinating with scrum masters, project managers and other software engineers to plan, design, develop, test, and maintain cloud/web/mobile and desktop applications
• Ensuring all software engineering projects are delivered on time and to the agreed quality standards
• Utilizing AI tools where appropriate to support development, improve efficiency, and assist in debugging and validation of solutions
• Continuously improving technical knowledge and staying updated with emerging tools, including AI-assisted development practices, and sharing them with the team
• Maintaining high standards of software quality within the team by establishing good practices and habits
• Providing regular performance feedback, coaching, and career development to team members
• Facilitating root cause analysis of system issues and supporting resolution of production-related concerns when needed

MGL