Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal)
Role details
Job location
Tech stack
Job description
Our 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. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship., * Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
- Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
- Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
- Developing Infrastructure-as-Code using Terraform
- Writing 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 by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high-quality code.
- 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.
- Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
- Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
- Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available
Requirements
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., * 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. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- 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 system and relational databases like postgres is a plus.
Benefits & conditions
benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.