Salesforce

Salesforce

Principal Software Engineer - PMTS

California - San Francisco · Principal

Sponsorship not specified$197k-$314kDetected 5 hours ago
JavaScriptJavaHTMLCSSNode.jsExpressDistributed SystemsObject-Oriented ProgrammingSQLNoSQLAWSTerraformCI/CDAPI DevelopmentMachine LearningData EngineeringData ScienceLLMsAgentic AIProduct StrategySalesforceCRMRecruitingCustomer Success

About the role

  • To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
  • And innovation isn't a buzzword - it's a way of life.
  • Ready to level-up your career at the company leading workforce transformation in the agentic era?

Responsibilities

  • Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company

Requirements

  • 12+ years of experience in building highly scalable Software-as-a-Service applications/ platform
  • Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues

Nice to have

  • Preferred Skills:

Skills

  • Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java
  • High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.)
  • Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax
  • Experience delivering or partnering with teams that ship AI products
  • Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium
  • Experience with the full software lifecycle in highly agile and ambiguous environments
  • Excellent interpersonal and communication skills.
  • Solid experience in API development, API lifecycle management and/or client SDKs development
  • Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE
  • Experience with AI/ML and Data science, including Predictive and Generative AI
  • Experience with data engineering, data pipelines or distributed systems
  • Experience with Agile development methodologies, pair programming, continuous integration (CI) and continuous deployment (CD)

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.
  • Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps

Company info

  • Architect, design, implement, test and deliver highly scalable AI products into the hands of customers
  • Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events
  • Troubleshoot complex production issues and interface with support and customers as needed
  • Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events

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.