Lead Software Engineer

Key Responsibilities

  • Lead the design, development and delivery of scalable and reliable software solutions.
  • Provide technical leadership and guidance to software engineers across projects.
  • Design system architecture, APIs, services and technical solutions for complex business requirements.
  • Remain hands-on with coding, debugging, testing and technical problem-solving.
  • Conduct code and design reviews to ensure high standards of quality, security, performance and maintainability.
  • Establish and promote engineering best practices, coding standards and development processes.
  • Mentor and coach engineers, supporting their technical development and knowledge sharing.
  • Collaborate with Product Managers and other stakeholders to translate business requirements into effective technical solutions.
  • Work closely with DevOps, QA, Data and Infrastructure teams throughout the software development lifecycle.
  • Drive improvements in CI/CD, automated testing, monitoring and deployment processes.
  • Identify technical risks, performance issues and technical debt, and recommend appropriate solutions.
  • Troubleshoot complex production issues and support root-cause analysis and continuous improvement.
  • Evaluate new technologies and recommend solutions that improve engineering efficiency and product capabilities.
  • Contribute to the technical roadmap and long-term architecture of the platform.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience.
  • 7+ years of professional software engineering experience, with demonstrated experience in a technical leadership or Lead Engineer role.
  • Strong experience designing and developing scalable software systems.
  • Strong knowledge of software architecture, system design, data structures and algorithms.
  • Proficiency in at least one modern programming language such as Python, Java, Go, C++, TypeScript or similar.
  • Experience with RESTful APIs, microservices and distributed systems.
  • Strong understanding of databases, including SQL and/or NoSQL technologies.
  • Experience with cloud platforms such as AWS, Azure or GCP.
  • Familiarity with Docker, Kubernetes and CI/CD practices.
  • Strong understanding of software testing, code quality and engineering best practices.
  • Experience mentoring engineers and providing technical guidance.
  • Strong communication and stakeholder management skills.
  • Ability to work independently, solve complex problems and make sound technical decisions.

Nice to Have

  • Experience building AI/ML-enabled products or platforms.
  • Experience with LLMs, Generative AI or AI-assisted software development.
  • Experience with event-driven architecture, Kafka or similar technologies.
  • Experience working in a fast-paced technology or product company.
  • Experience working with distributed or international engineering teams.

What Success Looks Like

  • High-quality and scalable software is delivered consistently.
  • Engineering standards and development practices are continuously improved.
  • Engineers receive effective technical guidance and mentorship.
  • Technical decisions are aligned with product and business objectives.
  • Systems demonstrate strong reliability, security, performance and maintainability.
  • Technical risks and issues are identified and addressed proactively.

See also

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