Principal Software Engineer - PMTS
About the role
Core Group
• Architect, design, implement, test, and deliver
• Serve as a final architectural authority
- review major cross-cutting initiatives at design-review gates with the authority to approve or reject final designs, and establish, refine, and enforce the review processes, cross-cutting standards, and engineering practices behind them, balancing rigor with high velocity.
• Set the technical direction from Day 1
- define architectural principles, frameworks, and multi-year roadmaps, shepherd major initiatives to completion, and ensure alignment with company standards, security mandates, cloud-infrastructure needs, cost (COGS) optimization, and "Build vs. Buy" and M&A-diligence decisions.
• Be accountable for software architecture and enterprise capabilities
- scalability, fault tolerance, extensibility, maintainability, security, and observability.
• Independently design sophisticated software systems
• Drive thought leadership
- lead competitive research and industry-trend analysis, and author and deliver blogs, whitepapers, patents, technical reports, and presentations to customers and at industry events.
• Build the leadership pipeline
- provide technical mentorship to fellow architects and senior and staff-level engineers, systematically passing down architectural knowledge.
• Evangelize architectural direction
- communicate decisions and the recommended standards and best practices (the "golden path") through newsletters, ask-me-anything (AMA) sessions, and all-hands so every engineer stays aligned.
• Be a subject-matter expert across multiple products
- analyze product strategy and technical feasibility, and partner closely with Dev, QA, PM, and UX to ensure features meet business and quality requirements.
• Troubleshoot complex production issues
and interface with support and customers as needed. • Required skills
- 12+ years
building highly scalable Software-as-a-Service applications and platforms.
- Proven ability to
independently craft and deliver large, sophisticated projects
, and a demonstrated track record of driving long-term design strategies that span multiple complex projects.
- Track record as an
architectural decision-maker
- owning design-review gates, setting standards, and driving cross-team architectural alignment to conclusion.
•
Deep data-management / data-platform expertise
- data modeling, database technologies (RDBMS & NoSQL), SQL/PL-SQL, and hands-on experience with data pipelines, distributed data processing, and large-scale data lake/warehouse/lakehouse systems.
•
Experience building or delivering AI/GenAI platforms and products
at scale, including agentic workflows, RAG, vector search, and LLM workflow orchestration, plus the model-consumable data foundations underneath them.
- Experience building technical architectures that address complex performance, scalability, and fault-tolerance challenges.
- Deep knowledge of object-oriented programming with at least one OO language,
preferably Java
Demonstrated thought leadership
- delivering technical reports and presentations to customers and at industry events; authoring blogs, papers, or patents.
- Demonstrated track record of
cultivating strong working relationships and driving collaboration
across multiple technical and business teams to resolve critical issues.
- Experience with the full software lifecycle in highly agile and ambiguous environments.
- Excellent interpersonal and communication skills, with the ability to communicate with, encourage, and motivate all levels of staff.
Preferred skills
- Experience with data integration
,
data governance, lineage, metadata management, data quality, and identity resolution
at scale.
- Solid experience in API development, API lifecycle management, and/or client SDK development.
- Experience with Predictive and Generative AI, and with AI/ML observability, evaluation, and guardrails.
- Experience with streaming/event-driven architectures and real-time + batch pipelines.
- Familiarity with consumption/COGS optimization models and "Build vs. Buy" / M&A technical diligence.
- Experience with Agile methodologies, pair programming, and CI/CD.
- Ability to support and resolve production customer escalations with excellent debugging and problem-sol
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.
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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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Not included in the source posting: about the role, benefits.
Skills
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