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Mid-Level Backend Engineer

salesforce

New
Hybrid Mid 🇬🇧 English
Java Python Scala C# Go Node.js SQL Postgres Trino Redshift AWS Azure GCP Kafka Elastic Search Terraform Kubernetes Docker

Job description

About the role

Salesforce is seeking a Mid-Level Backend Engineer to build high‑quality, production‑grade software that integrates AI agents into human workflows. You will work in a hybrid model with a world‑class engineering team, contributing to the stability and scalability of the core CRM platform.

Key responsibilities

  • Design, develop, and ship backend services using modern engineering practices, with AI tools embedded in the workflow.
  • Orchestrate complex systems where AI agents interact seamlessly with human users, driving efficiency at scale.
  • Maintain shared system context repositories to ensure AI operates accurately and reliably.
  • Critically evaluate both human‑written and AI‑generated code for quality, security, and performance.
  • Participate in all phases of the SDLC, including design, implementation, code reviews, automation, and testing.

Required profile

  • 3+ years of software development experience.
  • Deep knowledge of object‑oriented programming and scripting languages such as Java, Python, Scala, C#, Go, Node.js, or C++.
  • Strong SQL skills and experience with relational and non‑relational databases (Postgres, Trino, Redshift, MongoDB).
  • Experience building SaaS products on public cloud platforms (AWS, Azure, GCP).
  • Demonstrated AI‑first engineering mindset, using tools like Claude Code, GitHub Copilot, or Codex.

Required skills

  • Java, Python, Scala, C#, Go, Node.js, C++
  • SQL, Postgres, Trino, Redshift, MongoDB
  • AWS, Azure, GCP
  • Distributed systems design, event‑driven architecture, queues, locks, scheduling
  • Kafka, Elastic Search, Terraform, Kubernetes, Docker
  • Generative AI tools and advanced prompt engineering

What we offer

  • Wellbeing reimbursement and generous parental leave.
  • Adoption assistance, fertility benefits, and flexible work options (1‑3 days onsite or 4‑5 days onsite).
  • Access to Salesforce Engineering Blog and AI‑driven productivity tools.

Questions fréquentes

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Source : ats:workday

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Published 13 hours ago

Expires 1 month from now

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