**This role is for one of the Weekday's clients
** We are looking for a highly skilled Lead Engineering Manager with 10-12 years of experience in software development and leadership. The ideal candidate will have a strong technical background in Python , a proven track record of leading engineering teams, and experience in designing scalable and high-performance solutions. This role requires a hands-on leader who can guide teams, drive technical excellence, and align engineering efforts with business goals.
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.
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.
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.
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