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Our Salesforce Database (SDB) team provides a highly available database for Salesforce applications. Within the large SDB team, we provide a highly durable and available distributed storage for public clouds. We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, metrics driven team. We're highly collaborative and work across all areas of our technology stack. We live and breathe transactional systems, distributed systems and enterprise reliability, availability and scale.

The team is seeking a highly qualified and energetic Senior/Lead Software

Engineer who will be responsible for working on development scalable, resilient and fault tolerant transactional and distributed systems. The Senior/Lead Software Engineer will be responsible both for design and hands-on implementation. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Job Responsibilities:

• 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 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.

Required Skills:

• 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 designing, developing scalable, resilient and fault tolerant transactional and distributed systems in enterprise production environments
• Highly skilled in Java or C in a Unix/ Linux Environment, with an understanding of modern object-oriented programming techniques and design patterns
• Experience using telemetry and metrics to drive operational excellence
• Ability to learn quickly and deliver high quality code in a fast-paced, dynamic team environment
• A meticulous and detailed oriented engineer, responsible for writing one’s own functional and unit tests and help review and test teammates' code
• Familiar with Agile development methodology and committed to continual improvement of team performance
• Effective communication, strong leadership skills, team player who is capable of mentoring and being mentored by others
• Inventive and creative; on task and able to deliver incrementally and on time
• You should have 5-9+ years of professional experience, or a M.Sc. in a relevant academic field and 3-7+ years of professional experience. Experience with relational databases and or distributed storage, GCP is a big plus.
• 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 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

Desired Skills

• 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.

Highly Available Distributed Systems Areas where you may be working on include highly scalable, highly performant distributed systems with highly available and durable data storage capabilities that ensure high availability of the stack above that includes databases. A thorough understanding of distributed systems, system programming, working with system resources is required. Practical knowledge for challenges regarding clustering solutions, hands-on experience in deploying your code in the public cloud environments, working knowledge of Kubernetes and working with APIs provided by various public cloud vendors to handle data are highly desired skills