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Required Production Engineer (University Grad)
Production Engineers are software engineers who focus on the reliability, scalability, performance, privacy and security of our Products - such as WhatsApp, Instagram or Messenger and our business platforms such as Ads, Business Messaging and Commerce.
Through a deep understanding of production services, and a passion for automation, they allow our product teams to deliver new features quickly while maintaining an awesome user experience. They are embedded in our product teams and are core participants in every significant engineering effort.
Our team members come with varying levels of experience and wide-ranging backgrounds. Relevant industry experience is important (Software Engineer, Site Reliability Engineer (SRE), Systems Engineer, DevOps Engineer, Network Engineer, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day in Production Engineering, and we are always learning.
This position is full time based in our Tel-Aviv offices.
Production Engineer (University Grad) Responsibilities:
Develop a strong understanding of relevant product area, codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modern abstractions and frameworks
Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills
Master our development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
Actively seek and give feedback in alignment with our Performance Philosophy.

*Employment as a contractor through a third-party agency for 2 years project* *Suitable for students* MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! We are seeking a motivated junior system engineer to join our R&D team. This part-time position is suitable for students passionate about data analysis and machine learning. You will play a crucial role in leading data investigations in various projects, particularly those related to data analytics within our connected devices product line. You will perform analysis on extremely large data sets that reach our Cloud Data Platform from our install base with millions of connected devices. This position will provide you practical experience in data science while contributing to impactful projects aimed at improving animal care and management. If you are curious and ambitious and looking to expand your skills in a meaningful way, we encourage you to apply! Key Responsibilities:
* Contribute to the design and execution of field tests, including proof of concept testing and dedicated data collection trials.
* Work with our Snowflake platform and additional DB data sources to perform root cause analysis for abnormalities in behavior of our install base.
* Help in the preprocessing of data and the creation of visualizations to communicate insights effectively.
* Work with others to deliver routine and automated dashboard views of data analysis
* Support the integration of new BI tools and data sets with cloud-based platforms.
* Participate in technical discussions to present your analysis where you will be expected to give fresh perspectives and recommend on further analysis steps.