Software Engineering PMTS

Description

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.

This role sits at the intersection of large-scale distributed systems, data-intensive analytics, and cloud platform engineering. You will be a leading technical representative across the application stack — negotiating interfaces with peer teams, driving architectural alignment across the product, and setting the bar for non-functional quality (availability, multi-tenancy, security, performance) across GRPC and python application services.

Your Impact

• Drive the architecture, design, implementation, and delivery of secure, highly scalable backend services deployed on Kubernetes in a cellular, multi-AZ cloud architecture, and act as the technical leader for one or more teams.
• Architect authentication and authorization integrations with identity providers (session-based auth, mTLS for service-to-service communication) and partner with Security on threat modeling, AppSec, and AI safety guardrails for new features.
• 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.
• Set test strategy across the pillar — unit, integration, functional, regression, and performance — and approve test plans for cross-team initiatives.
• 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.
• Required Qualifications
• 15 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.
  
  

Preferred 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.
• Proficient with evaluation of ML model performance.
• 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.