Software Engineering PMTS

Salesforce•1d ago

United StatesOnsiteFull-timePrincipal Level10+ yrs exp

H-1B verified · 327 LCAs

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Vp EngineeringSoftware EngineerSoftware Engineer IiEngineering ManagerDirector Engineering

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
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
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
you are the future of Salesforce. As a Principal Engineer (PMTS), you will play a key role in defining and driving the architecture, design
evolution of large-scale distributed systems and platform infrastructure. You will partner with engineering, product
operations teams to build highly scalable, resilient
secure systems that power critical business capabilities. This role requires deep technical expertise, strong architectural vision
the ability to influence engineering strategy across multiple teams and organizations. At Salesforce, you'll work at the intersection of enterprise AI and platform engineering — using and building AI-powered tools to accelerate development, automate operations
shape the future of how software is built and deployed at scale. Key Responsibilities Architecture & System Design
Define and document high-level and detailed architectures for large-scale distributed systems, platform services, and infrastructure components..
Design solutions that prioritize scalability, reliability, performance, security, and operational excellence..
Establish architectural standards, design patterns, and engineering best practices across the organization..
Evaluate and integrate AI-assisted design and documentation tools to accelerate architecture review cycles and improve decision quality.. Technical Leadership
Provide technical leadership and mentorship to engineering teams throughout the software development lifecycle..
Drive technical decision-making, architecture reviews, and technology evaluations..
Influence long-term platform and system strategy through thought leadership and hands-on engagement..
Champion the adoption of AI-powered developer tools, including AI coding assistants, automated code review, and intelligent CI/CD systems.. Cross-Functional Collaboration
Partner with product managers, engineering leaders, operations teams, and other stakeholders to understand business requirements and translate them into robust technical solutions..
Facilitate alignment across multiple teams working on interconnected platforms and services.. Distributed Systems & Platform Engineering
Design and evolve cloud-native platforms, microservices architectures, and distributed applications capable of operating at large scale..
Lead efforts related to service reliability, fault tolerance, observability, performance engineering, and operational efficiency..
Drive adoption of modern platform technologies, automation, and developer productivity tools — including AI-driven automation, intelligent monitoring, and agentic operations tooling.. Innovation & Technology Strategy
Stay current with emerging technologies, industry trends, and architectural approaches — including large language models (LLMs), AI agents, and AI-augmented engineering workflows..
Evaluate and introduce new technologies, frameworks, and patterns where they provide measurable business or technical value..
Contribute to the organization's long-term technology roadmap..
Identify opportunities to apply AI capabilities — such as Agentforce, Salesforce Einstein, and third-party AI platforms — to drive platform efficiency and innovation.. Risk Management & Reliability
Identify architectural, operational, and scalability risks early and develop mitigation strategies..
Ensure systems meet availability, resilience, disaster recovery, security, and compliance requirements — including responsible AI governance and AI system risk controls..
Champion operational excellence and engineering rigor across teams.. Performance & Scalability
Analyze system performance characteristics and drive optimization initiatives..
Design systems capable of handling significant growth in scale, traffic, data volume, and complexity..
Establish performance benchmarks and capacity planning strategies.. Documentation & Knowledge Sharing
Maintain comprehensive architectural documentation and design artifacts..
Mentor engineers and architects through technical reviews, design sessions, and knowledge-sharing initiatives..
Promote engineering excellence through documentation, standards, and best practices..
Use AI-powered knowledge management and documentation tools to accelerate artifact creation and keep architecture documentation current.. Qualifications Education
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.. Experience
10+ years of experience designing, building, and operating large-scale software systems and distributed platforms..
Demonstrated success leading architecture and technical strategy across multiple teams and complex initiatives..
Experience building highly available, mission-critical systems operating at scale..
Experience working with or evaluating AI/ML systems, AI-powered developer tooling, or agentic workflows is strongly preferred.. Technical Skills
Deep expertise in distributed systems architecture, cloud-native technologies, and modern software engineering practices..
Strong experience with public cloud platforms such as AWS, Azure, or Google Cloud..
Proficiency with containerization and orchestration technologies such as Docker and Kubernetes..
Strong understanding of networking, security, service discovery, load balancing, DNS, and data management systems..
Experience with microservices architectures, API design, event-driven systems, and asynchronous communication patterns..
Familiarity with observability, monitoring, logging, and reliability engineering practices..
Experience with CI/CD pipelines, infrastructure automation, and DevOps methodologies..
Strong understanding of performance engineering, scalability patterns, and distributed data systems..
Familiarity with AI and ML concepts — including LLMs, model deployment, inference infrastructure, and AI agent frameworks — as they apply to platform and infrastructure engineering..
Direct, applied experience with AI-powered tools such as GitHub Copilot, Agentforce, Einstein, or equivalent AI coding and operations platforms.. Leadership & Communication
Exceptional communication, collaboration, and stakeholder management skills..
Ability to influence technical direction across organizational boundaries..
Strong analytical and problem-solving skills with a focus on pragmatic execution..
Proven ability to mentor engineers and drive technical excellence.. Preferred Qualifications
Experience operating systems at internet scale or supporting high-volume enterprise workloads..
Expertise in platform engineering, developer experience, or infrastructure architecture..
Relevant certifications in cloud architecture, distributed systems, security, or DevOps are a plus..
Experience building or operating AI/ML infrastructure, LLM serving layers, or agentic systems at scale..
Familiarity with responsible AI principles, AI governance frameworks, and AI risk management.. 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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also 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. 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 the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&#xa
The typical base salary range for this position is $197,300 - $313,700 annually. &#xa
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Required skills

AWSAzureGoogle CloudAIMLdistributed systemscloud-native technologies