Salesforce
Technology
PrincipalSoftwareEngineer,PMTS
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Software Engineer, PMTS at Salesforce. Skills: Distributed systems, Data-intensive analytics, Cloud platform engineering, Process mining. Drive architecture, design, implementation, delivery. Set long-term technical vision”
What You'll Achieve.
Discover business processes; Simulate business processes; Optimize business processes; Meet SLOs; Solve real problems
Industry & Context.
Problem management
On-call rotations
What They're Looking For.
Must Have
10+ years software development, Principal-level technical leadership, Production-level fluency in Java/Python, Deep experience Java backend frameworks, Architectural expertise relational databases, Hands-on experience highly available distributed systems, Expertise containerization and orchestration, Expertise REST API design, Expertise mTLS / zero-trust security, Experience leveraging AI capabilities for SDLC automation, Drive proactive threat modeling
Nice to Have
Familiarity business process management, Familiarity process mining, Familiarity workflow automation
What You'll Do.
Set long-term technical vision
Own architecture for Python data processing
Architect database consolidation and migration
Drive integration with big data query
Architect authentication and authorization integrations
Design rollout strategy and telemetry
Lead service ownership
Write architectural documents
Write design specifications
Participate in design
Provide constructive feedback
Provide technical coaching
Manage technical backlog
Propose standards and best practices
Represent team to leadership
Explain architectures
Act as technical liaison
Champion Customer Trust
Reinforce non-functional requirements
Engage directly with customers
Lead critical problem management
How You'll Work.
Team & Collaboration
Negotiating interfaces with peer teams; Driving architectural alignment; Partner with Security; Partnership with Product; Cross-team initiatives; Peer teams' designs; Team on peer teams; VP-level engineering leadership; External stakeholders; Customer Trust
Communication Scope
Technical liaison; Executive presentations
Process & Methodology
Technical backlog management
Full Job Description
_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._ Job Category Software Engineering Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce is seeking a Principal Software Engineer (PMTS) to join the Agentforce Process Intelligence team, building process mining and optimization capabilities within the Agentforce platform. 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 Java 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. * Set the long-term technical visio
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