Principal Software Engineer

100 Salesforce, Inc.; Bellevue (WA); On-site; USD 197,300 - 313,700; Full time

Job summary

Salesforce is seeking a Principal Software Engineer to lead the Tableau Agent Analytics team, 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.

You will mentor engineers, drive security, reliability, and performance, and partner with Product and Customer Trust to deliver scalable, trusted software across multi‑AZ cloud deployments.

Qualifications

• 10+ years of professional software development experience in enterprise SaaS.

Responsibilities

• Drive architecture, design, and delivery of secure, scalable backend services on Kubernetes in cloud
• Architect authentication/authorization integrations with identity providers and partner with Security on AppSec
• Define SLIs/SLOs, telemetry, and lead on-call rotations and runbooks
• Set test strategy across the pillar and approve cross-team test plans
• Provide coaching/mentorship to LMTS/SMTS and lead technical initiatives across teams

Skills

Java

Python

Cloud architecture

Kubernetes

Security & threat modeling

Leadership

Mentorship

Test automation

Distributed systems

Communication

Education

Related technical degree

Tools

JUnit

pytest

Selenium

Playwright

AWS

Job description

Principal Software Engineer (PMTS) – Tableau Agent Analytics

Salesforce is seeking a Principal Software Engineer to join the Tableau Agent Analytics Agentforce Process Intelligence team. In this role 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, serving 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, including 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 multi‑team projects; 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 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; propose standards and best practices where they do not 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—and 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

• 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.

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; proficiency 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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications. Humans make all final hiring decisions. For more information about our Candidate Privacy Statement and how we use AI tools, please see the relevant disclosures.

Equal Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in creating a workplace that’s inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law, regardless of where they are in their Salesforce employment journey. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

Benefits and Compensation

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. More details about company benefits can be found at https://www.salesforcebenefits.com. In the United States, the typical base salary range for this position is $197,300 – $313,700 annually. This range represents base salary only and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Salesforce strives for equitable compensation practices that reflect the dynamic nature of labor markets across various regions.