Lead Engineering Manager

This role is for one of the Weekday's clients

This role requires a hands-on leader who can guide teams, drive technical excellence, and align engineering efforts with business goals.

Requirements

Key Responsibilities:

• Technical Leadership: Lead and mentor a team of software engineers, ensuring high-quality code, best practices, and technical excellence in Python development.
• Architecture & Design: Oversee system architecture, ensure scalability, and make high-level design decisions for software projects.
• Project Management: Drive end-to-end software development lifecycle, from planning and execution to deployment and monitoring.
• Team Building & Mentorship: Hire, train, and retain top engineering talent while fostering a culture of innovation, collaboration, and continuous learning.
• Code Reviews & Best Practices: Ensure adherence to coding standards, best practices, and security guidelines within the engineering team.
• Cross-functional Collaboration: Work closely with product managers, designers, and stakeholders to define technical requirements and deliver robust solutions.
• Performance Optimization: Identify performance bottlenecks and implement solutions to improve system efficiency and scalability.
• Cloud & DevOps: Collaborate with DevOps teams to optimize CI/CD pipelines, automate deployments, and enhance infrastructure reliability.
• Innovation & Continuous Improvement: Stay updated with emerging technologies, introduce new tools, and drive innovation within the team.

Required Skills & Qualifications:

• 10-12 years of experience in software development, with a strong emphasis on Python and its frameworks (Django, Flask, FastAPI).
• Proven experience in leading and managing engineering teams.
• Expertise in system architecture, microservices, and cloud-based solutions (AWS, GCP, or Azure).
• Strong understanding of data structures, algorithms, and software design patterns.
• Experience with databases (SQL, NoSQL) and optimizing queries for performance.
• Familiarity with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring tools.
• Excellent problem-solving skills and the ability to make data-driven decisions.
• Strong communication and stakeholder management skills, with the ability to influence and collaborate across teams.

Preferred Qualifications:

• Experience in AI/ML, Data Engineering, or Big Data technologies.
• Hands-on experience in building scalable APIs, event-driven architecture, or distributed systems.
• Knowledge of Agile methodologies and experience working in Agile/Scrum environments.