Lead Software Engineer

6 days ago

Tel Aviv, Tel Aviv, Israel McKinsey & Company Full time ₪90,000 - ₪120,000 per year
Who You'll Work With
  • Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your Impact

Your Qualifications and Skills
  • Bachelor's in Computer Science or related subject
  • 8+ years of development experience, with extensive Software Engineering skills and system understanding
  • 2+ years of team leadership experience with ongoing hands-on development work
  • Demonstrated passion for crafting meticulously designed and elegantly structured software solutions
  • Proven ability to navigate uncharted territories in both code and theory autonomously, spanning the entire technology stack
  • Solid proficiency in Python, including asynchronous and parallel programming
  • Experience in developing software from the ground up, showcasing innovation and problem-solving skills
  • Experience with data-engineering packages (Pandas, Pyarrow)
  • Experience with big data frameworks (e.g. Spark) is an advantage
  • Experience with ML / AI tooling (for training and/or serving) is highly desired
  • Proficiency in distributed systems; familiarity with Kubernetes management and its ecosystem is an advantage
  • Experience working with a large codebase is an advantage

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