Digital

Senior Back End Engineer - Iguazio

Job ID: 88601

You'll be joining a dynamic team of tech-savvy engineers managing the Iguazio Data Science PaaS, alongside leading a spectrum of projects within the MLOps and Gen AI domain.​

  • Tel Aviv
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Who You'll Work With

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.

What You'll Do

Join a young codebase written in Python and Go, you will co-own and contribute to Iguazio's open-source projects.  
Your role will involve leading features from inception and analysis, through design, implementation, testing, and maintenance. You will also participate in product-changing architectural choices, take ownership of various components/tools, and continuously expand your skill sets. 
Expect to immerse yourself deeply into the Kubernetes ecosystem and explore the cutting-edge systems and technologies in this field. Furthermore, you will acquire knowledge about multi-cloud technologies and gain valuable experience working with diverse infrastructure types, including hybrid-cloud, multi-cloud, and bare metal deployments.

Qualifications

  • 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
  • Proficiency in backend design and architecture, with a track record of successful implementations
  • Experience in developing software from the ground up, showcasing innovation and problem-solving skills​
  • Proficiency in distributed systems and parallel programming, with a keen understanding of their intricacies
  • Solid proficiency in Python and Go, with the ability to wield them effectively (strong command of Python/Go is a definite advantage)
  • Familiarity with Kubernetes management and its ecosystem, providing added value to our projects​
  • Experience in managing and automating cloud infrastructure is highly desirable, offering an additional layer of expertise to our team
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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Code - TSE2 - Staff Software Engineer
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