Description
Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal)
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Public Cloud engineering teams are responsible for innovating and maintaining a large-scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day.
You will need deep experience with concurrency, large-scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role also requires Advanced prompt engineering skills , the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Your Impact:
- Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms such as AWS, GCP, Azure, or Alibaba
- Design, develop, debug, and operate resilient distributed systems that run across thousands of compute nodes in multiple data centers
- Use and contribute to open-source technology (Spinnaker, Zookeeper, etc.)
- Develop Infrastructure-as-Code using Terraform
- Write microservices on containerization frameworks such as Kubernetes, Docker, Mesos
- Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
- Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
- Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
- Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance
- Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
Required Skills:
- A related technical degree required
- 3+ years backend software development experience
- Deep knowledge of programming in Java, GoLang, Python, or Ruby
- Experience owning and operating multiple instances of a critical service
- A demonstrated, genuine AI-first approach to engineering
- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
- Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready
- Experience with Agile development methodology and Test Driven Development
- Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications
- Experience with distributed database systems and relational databases like Postgres is a plus
Benefits & Perks
Check out the benefits site which explains various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.