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Principal Software Engineer - PMTS

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: SwiftCruit
Full Time position
Listed on 2026-07-22
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 197300 - 313700 USD Yearly USD 197300.00 313700.00 YEAR
Job Description & How to Apply Below

Software Engineering

Salesforce is the leading AI‑powered CRM platform, bringing together human‑centric agents and advanced AI to drive customer success and innovation. Our organization thrives on ambition, action, technical excellence, and a commitment to our core values.”

Responsibilities
  • Architect, design, implement, test, and deliver highly scalable AI products to customers.
  • Define and drive software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, and maintainability).
  • Design sophisticated software systems for high‑end solutions, collaborating with senior engineers and architects across AI Cloud and the company.
  • Determine architectural principles, frameworks, and standards to create vision and roadmaps.
  • Analyze product strategy and technical feasibility; provide feedback.
  • Lead long‑term design strategies spanning multiple projects; produce technical reports and give performance presentations to customers and at industry events.
  • Communicate with, encourage, and motivate staff at all levels.
  • Serve as a subject‑matter expert for multiple products, writing code and collaborating with QA, PM, and UX to meet business and quality requirements.
  • Diagnose complex production issues and coordinate with support and customers as needed.
Required Skills
  • 12+ years of experience building highly scalable SaaS applications or platforms.
  • Proven ability to independently deliver large, sophisticated projects.
  • Mentor team members in software‑engineering architecture concepts and technical development.
  • Experience building architectures that address complex performance issues.
  • Deep knowledge of object‑oriented programming; proficiency in Java (or similar language).
  • High proficiency in at least one high‑level programming language and web framework (Node.js, Express, Hapi, etc.).
  • Strong understanding of web technologies (JavaScript, CSS, HTML5, XML, JSON, Ajax).
  • Data‑model design, RDBMS & No

    SQL, SQL and PL/SQL experience.
  • Experience with AI product delivery or partnership with AI teams.
  • Automated testing experience (unit, functional, Java/JUnit, JSUnit, Selenium).
  • Prior experience building scalable AI platforms or applications.
  • Track record of driving long‑term design strategies across multiple projects.
  • Experience delivering technical reports and presentations to customers and at industry events.
  • Strong interpersonal and communication skills; ability to build relationships across technical and business teams.
  • Full software lifecycle experience in highly agile and ambiguous environments.
Preferred Skills
  • Experience with API development, lifecycle management, or client SDKs.
  • Familiarity with machine learning or cloud platforms (AWS Sage Maker, Terraform, Spinnaker, EKS, GKE).
  • Experience in AI/ML and data science, including generative and predictive AI.
  • Experience with data engineering, pipelines, or distributed systems.
  • Agile development practices, pair programming, CI/CD.
  • Knowledge of Salesforce APIs and technologies.
  • Strong debugging and problem‑solving skills for production escalations.
Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.

Posting Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination for all employees and applicants. Employees and potential employees are evaluated on merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, disability, age, veteran, marital status, or any other protected class. This policy applies to all aspects of employment, including recruiting, hiring, job assignment, compensation, promotion, training, performance evaluation, discipline, and termination.

Benefits

Health and wellness programs (medical, dental, vision, mental health support), paid parental leave, life and disability insurance, 401(k) with company match, employee stock purchase program, and other comprehensive benefits. Compensation is based on location, role, and experience; base salary for this position ranges from $197,300 to $313,700 annually, with higher ranges in selected locations in the San Francisco and New York City metropolitan areas.

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