Principal Software Engineer
About the role
Salesforce is seeking a Principal Software Engineer (PMTS) to join the Tableau Agent Analytics Agentforce Process Intelligence team. You will act as a technical leader across one or more teams, owning the end-to-end architecture of backend services and full-stack applications that enable enterprise customers to discover, simulate, and optimize their business processes at scale.
Responsibilities
- Drive the architecture, design, implementation, and delivery of secure, highly scalable backend services deployed on Kubernetes in a cellular, multi-AZ cloud architecture.
- Own the end-to-end architecture of backend services and full-stack applications that enable enterprise customers to discover, simulate, and optimize their business processes at scale.
- Act as the technical leader for one or more teams.
- Define SLIs and SLOs for the team's features and services in partnership with Product, design rollout strategy and telemetry that spans pre-release / canary / stagger periods, and lead service ownership: on-call rotations, ops and readiness reviews, runbooks, and automation.
- Write architectural documents, design specifications, and test plans for projects that span multiple teams; lead and participate in design reviews; and provide constructive feedback on peer teams' designs.
- Provide technical coaching and mentorship to LMTS and SMTS engineers on the team and on peer teams, primarily through reviews; recognize which large designs to delegate and which to implement yourself.
- Manage the technical backlog so that team goals and long-term technical debt are both addressed, and propose standards and best practices where they don't yet exist across the organization.
- Represent the team to VP-level engineering leadership, Product, and external stakeholders — clearly and concisely explaining initiatives, high-level architectures, and trade-offs; act as a technical liaison for Customer Trust when needed.
- Champion Customer Trust within the team: reinforce non-functional requirements, occasionally engage directly with customers to validate that features solve real problems, and lead critical problem management to limit customer impact.
Requirements
- 10+ years of professional software development experience, with a proven track record of shipping enterprise SaaS at scale and operating in a Principal-level technical leadership capacity.
- Strong proficiency in Java and/or Python, with production-level fluency across multiple languages in real systems.
- Hands-on experience designing, operating, and evolving highly available distributed systems on AWS or comparable cloud platforms, with 99.99%+ availability targets.
- Demonstrated ability to drive proactive threat modeling and partner with security/compliance on AppSec, vulnerability management, and AI safety considerations for new features.
- Hands-on experience with automated testing including unit, integration, and functional testing (JUnit, pytest, Selenium, Playwright), and a track record of defining test strategy for complex, cross-team systems.
- Proven ability to lead technical initiatives across multiple teams, mentor LMTS/SMTS engineers, and drive architectural alignment across organizational boundaries.
- Exceptional communication skills — including the ability to present technical strategy and trade-offs to VP-level engineering leadership, Product, and external customers.
- A related technical degree required.
Qualifications
- Familiarity with multi-tenant SaaS ecosystems and cloud platform engineering, including tenant-isolation patterns across database, cache, and storage layers.
- Expertise in shaping experiences with LLMs and agents.
- Experience with Agile development methodologies, test-driven development (TDD), and zero-downtime deployment patterns (blue/green, rolling releases).
- Prior experience as a Principal Engineer or similar leadership role, driving significant technical initiatives across multiple teams.
- Familiarity with the business process management, process mining, or workflow automation domains.
Skills
- Java and/or Python
- Kubernetes
- AWS or comparable cloud platforms
- Automated testing (JUnit, pytest, Selenium, Playwright)
- Agile development methodologies
- Zero-downtime deployment patterns (blue/green, rolling releases)
- Business process management, process mining, or workflow automation
Benefits
Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Pay
The typical base salary range for this position is $172,500 - $313,700 annually.
Schedule
N/A