
Software Engineering Team Leader
2 weeks ago
Our team is seeking an experienced technical leader to oversee the development and application of innovative solutions for complex problems. As a senior manager in software engineering, you will lead the development of advanced data engineering solutions at a production scale and collaborate with consulting teams to identify and scope software solutions for client business problems.
Responsibilities:
- Lead end-to-end technical solution delivery, from architecture to development.
- Oversee the entire software development lifecycle, including architecture, coding, reviews, testing, and documentation.
- Participate in client advisory activities requiring deep software engineering expertise.
- Develop reusable frameworks and components to address common engineering challenges.
- Create a positive working environment to attract top engineering talent.
- Coach client and partner engineering teams to enhance capabilities and ensure high standards.
- Promote best practices in software engineering and share industry learnings.
- Drive innovative solutions that deliver significant client impact.
Requirements:
To be successful in this role, you should have:
- At least 12 years of hands-on experience in web development, programming, version control, and software design.
- Minimum 3 years managing software engineers.
- Master's degree in Computer Science, Engineering, or related field.
- Business acumen and understanding of business models.
- Experience leading multiple projects and developing junior engineers.
Preferred Skills:
You are preferred if you have:
- Proven track record of deploying enterprise AI applications and data analytics products.
- Expertise in Python (5+ years).
- Experience with server-side frameworks like FastAPI, Flask.
- Experience with Cloud platforms (AWS, Azure, GCP).
- Familiarity with DevSecOps, CI/CD tools, MLOps, infrastructure as code (Jenkins, Docker, Kubernetes, Terraform).
- Strong fundamentals in data structures, algorithms, testing, OOP, performance, and computer architecture.
- Experience with data architecture, database design, and SQL.
- Knowledge of client-side technologies (React, Angular, HTML, CSS).
- Experience designing scalable OLTP and OLAP data systems.
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