Mid-Level Backend Engineer

About the role

Salesforce is hiring a mid-level backend software engineer to work with a group of world-class engineers building features for its CRM platform. The role covers architecture, design, implementation and testing, and is open to a hybrid model (1-3 days per week in the office or 4-5 days). The posting is open to anyone who applied to the Software Backend Development opening, whose resume will be reviewed by multiple hiring teams.

Key responsibilities

• Build and ship production-grade software using modern engineering practices, with AI as a core part of the development workflow.
• Design and orchestrate complex systems where AI agents integrate into human workflows.
• Contribute to the shared system context, a repository of system designs, constraints and standards.
• Evaluate code (human or AI-generated) for correctness, quality, security and performance.
• Develop production-ready code for a cloud platform used by millions of users, making design choices based on performance, scalability and future expansion.
• Work through all phases of the SDLC, including design, implementation, code reviews, automation and testing.
• Build efficient components and algorithms on a microservice, multi-tenant SaaS cloud environment.
• Code review, mentor junior engineers and give technical guidance depending on seniority.

Required profile

• 3+ years of development experience as a software engineer.
• Degree or equivalent relevant experience; experience is evaluated on core competencies such as leadership, extracurricular, military or volunteer roles.
• Proven experience designing and developing distributed systems at scale.
• A genuine AI-first approach, with hands-on experience using AI tools such as Claude Code, GitHub Copilot, Codex and Cursor, and advanced prompt engineering skills.

Required skills

• Object-oriented programming and scripting languages such as Java, Python, Scala, C#, Go, Node.js and C++.
• SQL and relational and non-relational databases (Postgres, Trino, Redshift, Mongo).
• SaaS development on public cloud infrastructure (AWS, Azure, GCP).
• Queues, locks, scheduling, event-driven architecture and workload distribution.
• Desired: Generative AI (RAG, agentic workflows), big data/ML and S3, Kafka, Elasticsearch, Terraform, Kubernetes and Docker.

What we offer

• Wellbeing reimbursement, generous parental leave, adoption assistance and fertility benefits.
• Open to flexible or office-based schedules.