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Principal Software Engineer- MLops



Software Engineering
Tel Aviv-Yafo, Israel
Posted on Sunday, June 16, 2024

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Your Impact:

In this role, you will play a pivotal part in both the design and execution of cloud-based infrastructure and platform tools that underpin data-driven and machine-learning components. Your responsibilities extend to shaping and enhancing the performance, scalability, and overall architecture of the systems.

Your expertise will drive the development methodology, tools, and frameworks used by the R&D team, particularly focusing on optimizing the "go-to-production" pipeline for an auto-scaled cloud ecosystem.

Your contribution will further extend to constructing an AI platform and deploying MLOps components and services, marking a significant addition to the role.

Who You’ll Work With:
You'll be a crucial member of the Salesforce AI Platform, an innovation that infuses AI capabilities into all Salesforce products. The AI Platform team crafts AI solutions for various Salesforce clouds, automating data entry, enabling predictive analysis, and empowering customers with concrete insights.

This AI-powered solution guides optimal actions, enhances opportunity management, refines decision-making, improves forecast accuracy, and more. The Salesforce Israel group is a group assembly of data scientists, engineers, and growth analysts who steer product strategy through data-derived insights.


  • Driving the conceptualization and implementation of cloud-based AI and Generative AI shared services, integral to the Salesforce AI Platform, emphasizing MLOps principles and practices.

  • Cultivate the development of a comprehensive application platform tailored for Salesforce Engineers and Data Scientists, considering the nuances of MLOps.

  • Demonstrate proficiency in using cross-platform architectural strengths, curbing excess, and fashioning shared services that cater to diverse applications.

  • Apply a broad approach to software solution development, encompassing the study of information needs, system flow, data utilization, and process dynamics, while adhering to the software development lifecycle.

  • Maintain an unwavering focus on refining an expanding microservices architecture that sustains high throughput, catering to millions of daily requests.

Required Qualifications:

  • Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • Accumulate a minimum of 10+ years of competence in software development, with a special emphasis on AI and machine learning engineering, reflecting the merged role of Data Scientist and ML Engineer.

  • Hands-on experience building, scaling and maintaining large-scale, complex distributed systems in the B2B (or B2C) SaaS space that scale for millions of users and is available 24x7

  • In-depth working knowledge of at least one object-oriented compiled, statically-typed language (Java/Kotlin, Go, C++, etc)

  • Evince remarkable engineering prowess and a solid grounding in communication fundamentals, seamlessly integrating these attributes into your work.

  • Exhibit prowess in steering projects from conception through implementation and onto continuous deployment in live environments, paying heed to MLOps strategies.

  • Showcase a track record of dedicatedly addressing performance and scaling challenges in data-centric systems.

  • Display a profound curiosity about crafting large-scale, distributed systems, applying your expertise across multiple programming languages – spanning beyond Java and Python. This language diversity aligns with the broader scope of ML Engineering and MLOps.

  • Possesses highly developed curiosity and a zest for rapid learning, attributes indispensable for staying abreast of the evolving AI and MLOps landscape.

  • Adopt the role of an enabler, developing the success of your team and its individual members through mentorship and collaboration.

Preferred Qualifications:

  • Exemplify a confirmed history of creative problem-solving within the AI and MLOps domain.

  • Exhibit a functional understanding of Cloud Computing, with experience across platforms such as AWS, GCP, and Azure, aligning with the role's cloud-based focus.

  • Possess hands-on experience with both Relational and NoSQL databases, encompassing options like MySql, Aurora, MongoDB, Couchbase, Cassandra, and DynamoDB. This breadth underlines your proficiency in handling diverse data storage paradigms in an AI and MLOps context.


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