60 Salesforce Senior Principal Software Engineer Jobs Hiring Near You

Job Summary:
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The role involves serving as a key individual contributor across the Super Agent and Integration & Platform teams, owning complex system problems, setting technical direction, and driving foundational investments to enable scalability.
Responsibilities:
• Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery
• Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it
• Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence
• Raise and maintain the engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time
• Architect and implement powerful integrations between the core platform and Salesforce ecosystem products, specifically Mulesoft and Flow
• Lead the design and implementation of highly scalable, efficient, and reliable data export pipelines, integrating internal data sources (CSV files, REST API outputs) with Salesforce Data Cloud and/or Informatica
• Optimize existing ETL pipeline infrastructure to support a daily, self-serve customer data synchronization mechanism with Data Cloud — fully automated, requiring minimal engineering involvement post-setup
• Design and build simplified, performant, customer-facing APIs and webhooks, including an abstracted version of high-value functionality currently exposed via complex GraphQL endpoints
• Architect, design, and deliver high-quality, scalable code for complex data integration and platform features
• Drive technical decision-making and project execution as the primary individual contributor for key initiatives
• Conduct thorough code reviews and mentor engineers on best practices for performance, security, and scalability
• Collaborate cross-functionally with Product Management and other engineering teams to define requirements and deliver solutions that meet business needs
• Build and ship 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
• Contribute to building and maintaining 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
• Mentor engineers as a senior peer and force multiplier, helping shape stronger engineering judgment and a higher-performing team
• Set the technical direction and standards for data integration, ETL processes, and backend architecture across the platform
• Identify and mitigate architectural risks associated with scaling our data infrastructure to support exponential customer growth
• Drive continuous improvement in system performance, observability, and operational efficiency
Qualifications:
Required:
• 3+ years (Senior), 5+ years (Lead), 8+ years (Principal): of industry experience as a backend engineer, building and operating large-scale, user-facing web applications and/or data systems
• A related technical degree required
• Deep expertise in multiple areas of backend engineering: data modeling, DB performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling
• Demonstrated expertise in designing, building, and maintaining production-grade data pipelines (ETL/ELT)
• Expert-level proficiency in at least one modern programming language (e.g., Java, Python, Go) suitable for platform development
• Proven experience designing and implementing robust, external-facing REST APIs and Webhooks
• Deep practical knowledge of distributed systems, high-availability architectures, event queues, and asynchronous task processing
• Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving measurable improvement over time
• Experience designing and improving interfaces and boundaries between teams and systems
• Experience in a lead technical role (LMTS/PMTS level or equivalent), driving and owning complex projects as an individual contributor
• Excellent written and verbal communication skills, with the ability to lead real-time technical design discussions
• Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment
• Demonstrated ownership and accountability, with a consistent track record of high standards and low-ego collaboration
• 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 system context that makes AI outputs reliable, secure, and production-ready
Preferred:
• B.S. in Computer Science (M.S. preferred)
• Mastery of Golang, GraphQL, and PostgreSQL
• Hands-on experience with Salesforce integration technologies such as Mulesoft or Salesforce Data Cloud
• Experience working with large-scale event streaming platforms (e.g., Kafka, Kinesis)
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience designing or working with GraphQL API implementations
• Experience with workflow engines
• Exposure to the supply chain, logistics, or manufacturing industry
• Experience working within rapidly evolving systems, balancing early-stage ambiguity with scaling, reliability, and maintainability concerns
• Notable open-source contributions, patents, or published research
• Familiarity with the Salesforce platform
Company:
Salesforce is a cloud-based software company that provides customer relationship management software and applications. Founded in 1999, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.