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Salesforce

Builds cloud software for customer relationships

Lead Backend Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • At least 8 years of software engineering development experience.
  • Deep knowledge of object-oriented programming and scripting languages including Java, Python, Scala, C#, Go, Node.js, and C++.
  • Strong SQL skills and experience with relational and non-relational databases such as Postgres, Trino, Redshift, and Mongo.
  • Experience developing SaaS products on public cloud infrastructure such as AWS, Azure, or GCP.
  • Experience designing and developing distributed systems at scale.
  • Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, with a deep understanding of relational and non-relational databases.
  • A demonstrated AI-first approach to engineering, using AI to work faster, build fluency across the stack, and contribute beyond one's core specialty.
  • Experience using AI tools such as Claude Code, GitHub Copilot, Codex, and Cursor in development workflows.
  • Advanced prompt engineering skills, including writing precise, structured prompts and cultivating system context that supports reliable, secure, production-ready AI outputs.
  • Understanding of software development best practices and leadership skills.
  • A degree or equivalent relevant experience is required; experience is evaluated based on role core competencies, including extracurricular leadership, military experience, volunteer roles, and work experience.

Responsibilities

  • Build and ship high-quality, production-grade software using modern engineering practices and AI as a core part of the development workflow, using AI development tools to deliver secure, optimized, high-quality code.
  • Design and orchestrate complex systems in which AI agents integrate into human workflows.
  • Contribute to building and maintaining shared system context: an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  • Evaluate human- or AI-generated code for correctness, quality, security, and performance.
  • Build components to provide scale and efficiency in an evolving technology market.
  • Develop production-ready code for the cloud platform used by millions of users.
  • Make design decisions based on performance, scalability, and future expansion.
  • Contribute to all phases of the software development lifecycle in a hybrid engineering model, including design, implementation, code reviews, automation, and testing.
  • Build efficient components and algorithms in a microservice, multi-tenant SaaS cloud environment.
  • Review code, mentor junior engineers, and provide technical guidance to the team, depending on seniority level.

Desired Qualifications

  • Technical expertise in generative AI, particularly retrieval-augmented generation systems and agentic workflows using large language models.
  • Experience with big data, machine learning, and S3.
  • Hands-on experience with streaming technologies such as Kafka.
  • Experience with Elasticsearch.
  • Experience with Terraform, Kubernetes, and Docker.
  • Experience working in a fast-paced, rapidly growing multinational organization.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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