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Backend Tech Lead - Iguazio at McKinsey & Company · Trevo
Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
What you'll do
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 to enable holistic well-being for you and your family.
Your Impact
You will join Iguazio as a Backend Tech Lead and lead a high-impact team driving innovation across our Data Science PaaS and open-source MLOps and GenAI projects.
In this role, you’ll apply your leadership experience to shape and evolve a modern, rapidly maturing codebase, working deeply within the Kubernetes ecosystem and solving a range of complex infrastructure challenges. As both a people and technology leader, you’ll foster a culture of excellence, ownership, and continuous learning. You’ll be responsible for mentoring and growing engineers, guiding key architectural decisions, and delivering scalable, production-grade solutions in Python and Go. You'll join a fast-moving team tackling real-world problems with cutting-edge technologies—and play a pivotal role in defining the future of AI in production.
Iguazio is a leading AI and machine learning company based in Herzliya. Recognized for helping enterprises deliver enterprise-wide analytics at scale, Iguazio’s advanced Machine Learning Operations (MLOps) pipeline enables clients to streamline and manage their AI, from the initial concept all the way to production, in a simplified and automated manner.
Your responsibilities will include, but not be limited to: leading, mentoring, and growing a team of backend engineers working on Iguazio’s platform and open-source contributions; owning the delivery of key features and initiatives, from discovery and design through implementation and integration; driving architectural decisions and ensuring alignment with product and business goals; collaborating cross-functionally with product, QA, and data science teams to deliver a seamless ML and generative AI experience; encouraging engineering best practices, code quality, and operational excellence across the team; contributing hands-on to the codebase when needed, setting the technical bar and leading by example; and bringing in innovation and technical exploration in areas like distributed systems, Kubernetes, and cloud-native infrastructure.
Your Qualifications and Skills
6+ years of proven experience managing or leading engineering teams, including hiring, performance management, and career growth
Strong background in backend development and systems architecture, particularly with Python and/or Go
Hands-on experience with distributed systems, microservices, and cloud-native technologies
Deep understanding of the Kubernetes ecosystem and modern platform engineering practices
Track record of delivering production-grade systems, with an emphasis on scalability, reliability, and security
Passion for building high-performing teams and cultivating an environment of collaboration and accountability