Salesforce
Principal Software Engineer, Backend (Connectivity)
California - San Francisco · Principal
Sponsorship not specified$197k-$314kDetected 1 day ago
JavaSpringDockerKubernetesLLMsRAGAgentic AIA/B TestingSalesforceCRMRecruitingCustomer SuccessLeadershipMentoring
About the role
- This role blends technical depth, strategic thinking, and people-centered leadership.
- Set technical direction and help shape long-term strategy and team growth.
Responsibilities
- Lead the design and development of core integration capabilities and scalable connectivity solutions across MuleSoft, Salesforce, and Agentforce.
- Collaborate with cross-functional teams to define requirements and translate them into technical solutions.
- Drive innovation through new ideas, improved processes, and bold experimentation
- Provide technical leadership and mentorship to engineering teams, promoting best practices in coding, design, and architecture.
- Hands-on experience designing and building APIs, asynchronous workflows, and event-driven systems
- Experience working with large codebases and influencing design decisions across teams
Requirements
- 8+ years of experience building and operating production-grade software systems
- Strong proficiency in Java and Spring Boot, or in comparable languages and frameworks for building scalable backend systems
- Ability to think holistically about architecture, performance, and operational stability.
- Strong troubleshooting skills with the ability to triage complex issues and identify opportunities to improve product quality and reliability
- Ability to communicate complex ideas clearly and work effectively with engineers, designers, and product teams
Nice to have
- Hands-on experience with MuleSoft platform (Anypoint Studio, Mule Runtime, Anypoint Connectors).
- Expertise in Salesforce platform, including Apex, Lightning Components, and Salesforce APIs.
- Solid experience with system performance tuning, memory management, and optimizing resource usage in distributed environments
- Familiarity with container runtimes such as Docker and orchestration tools like Kubernetes
- Familiarity with large language models (LLMs), RAG architecture, and integration of AI into developer workflows.
- Unleash Your Potential
- When you join Salesforce, you'll be limitless in all areas of your life.
- Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Compensation
- 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 $197,300 - $313,700 annually.
Benefits
- It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
- The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
- 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.
- If you are driven by vision, energized by innovation, and grounded in the belief that great teams are built by people who support and inspire each other, we would love to meet you.
Company info
- We are driving agentic integration initiatives by empowering agents with connectivity through MuleSoft Connectors and Model Context Protocol (MCP) to enable automation across platforms. Our mission is to make integration more intuitive, dynamic, and intelligent, and provide a better design-time experience for both integration developers and agent builders.
- Our team thrives on innovation. We take bold ideas and turn them into real, high-impact products. We have built AI-powered systems from the ground up and know how to move fast, stay focused, and deliver with purpose. This is a place where builders bring their ideas to life with teammates who care deeply about quality, creativity, and meaningful impact.
- We embrace a hybrid work model and value the individual strengths each team member brings. We support each other's growth through mentorship and collaboration. We believe that autonomous teams lead to better outcomes by delivering meaningful value to our customers, building stronger products, and creating a more fulfilling environment for our people.
- We are driving agentic integration initiatives by empowering agents with connectivity through MuleSoft Connectors and Model Context Protocol (MCP) to enable automation across platforms.
- Our mission is to make integration more intuitive, dynamic, and intelligent, and provide a better design-time experience for both integration developers and agent builders.
- Our team thrives on innovation.
- We take bold ideas and turn them into real, high-impact products.
- We have built AI-powered systems from the ground up and know how to move fast, stay focused, and deliver with purpose.
- This is a place where builders bring their ideas to life with teammates who care deeply about quality, creativity, and meaningful impact.
- We embrace a hybrid work model and value the individual strengths each team member brings.
- We support each other's growth through mentorship and collaboration.
- We believe that autonomous teams lead to better outcomes by delivering meaningful value to our customers, building stronger products, and creating a more fulfilling environment for our people.
- We are seeking a Lead/Principal Software Engineer to join our growing engineering team that is passionate about delivering impactful software and enabling others to do the same.
Visa & Work Authorization
- Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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This listing is sourced directly from Salesforce's careers page and normalized into a canonical job model.