Software Engineering PMTS

Salesforce•Bellevue, WA

1d•Hybrid

About The Position

Join the Tableau Agent Analytics team in Bellevue (hybrid) as a Principal Software Engineer, where you will own end-to-end architecture for the backend services and full-stack applications that power Agentforce Process Intelligence — helping enterprise customers discover, simulate, and optimize their business processes at scale. Reporting to Senior Director of Software Engineering you will be a senior technical voice across distributed systems, data-intensive analytics, and cloud platform engineering, setting the bar for availability, security, and multi-tenancy across the product.

Requirements

Extensive professional software development experience with a proven track record of shipping enterprise SaaS at scale and operating in a principal-level technical leadership capacity, including mentoring senior engineers and driving architectural alignment across organizational boundaries.
Production-level proficiency in Java and/or Python, hands-on experience designing and operating highly available distributed systems on AWS or comparable cloud platforms, and a strong background in automated testing strategy for complex, cross-team systems.
Exceptional communication skills and can clearly present technical strategy and trade-offs to senior engineering leadership, Product, and external customers — including representing the team on customer trust and critical problem management.
A related technical degree required.

Nice To Haves

Familiarity with multi-tenant SaaS ecosystems, including tenant-isolation patterns across database, cache, and storage layers.
Expertise shaping experiences with large language models and agents, and experience evaluating machine learning model performance.
Experience with zero-downtime deployment patterns such as blue/green or rolling releases.

Responsibilities

Architect and deliver secure, highly scalable backend services on Kubernetes in a cellular, multi-availability-zone cloud environment, including authentication and authorization integrations with identity providers and service-to-service communication patterns — partnering with Security on threat modeling and AI safety guardrails.
Define service-level indicators and objectives for the team's features, shape rollout and telemetry strategy across pre-release through production, and lead service ownership including on-call rotations, operational reviews, runbooks, and automation.
Set and enforce test strategy across the pillar — spanning unit, integration, functional, regression, and performance — and author architectural documents, design specs, and test plans for cross-team initiatives.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow, and design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.