Salesforce
Technology
Principalfullstackengineer
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal fullstack engineer at Salesforce. Skills: Distributed systems, AI, Data integration, Backend engineering. Own technical direction. Make architectural bets”
What You'll Achieve.
Deliver high-quality features; Drive operational excellence; Ensure team delivers commitments
Industry & Context.
Resolve technical issues; Root cause analysis
On-call rotations
What They're Looking For.
Must Have
15+ years software development, Technical leadership track record, Expert-level Java, Deep OOP understanding, Concurrency understanding, Performance tuning understanding, Production-grade code experience, High load experience, Extensive Spring Boot experience, Extensive Spring Cloud experience, Service discovery experience, Event-driven architecture experience, API gateway patterns experience, RESTful API design experience, AWS experience, Azure experience, GCP experience, Cloud security experience, Cloud networking experience, Infrastructure automation experience, Production Docker experience, Production Kubernetes experience, Istio familiarity, Helm familiarity, Deployment tooling familiarity, Proven distributed systems experience, Fault tolerance experience, Consistency patterns experience, Message-driven architectures experience, Expert RDBMS knowledge, Advanced SQL knowledge, Query optimization knowledge, Transaction management knowledge, NoSQL databases experience, Cassandra experience, MongoDB experience
Nice to Have
Interest in AI automation, Kubernetes experience a plus, Istio experience, Harness experience
What You'll Do.
Own technical direction
Make architectural bets
Ship production-grade code
Provide architectural vision
Shape platform processing
Act as Technical Leader
Serve as technical authority
Write architectural documents
Write design specifications
Resolve cross-team issues
Embrace accountability
Create test strategies
Drive operational excellence
Design backend services
Build backend services
Architect data pipelines
Architect integration workflows
Drive platform evolution
Own release plan execution
Propose medium-term plans
Lead service ownership practices
Provide constructive feedback
Explain architectures
Engage with customers
Synthesize external guidance
How You'll Work.
Team & Collaboration
Cross-team plans; Cross-team technical issues; Peer teams; Cross-functional partners; VP-level audiences; Product Owners
Communication Scope
Explain architectures; Explain initiatives
Process & Methodology
Agile processes, Release plan, Medium-term plans
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. Are you a seasoned engineer who wants to reshape how the world's largest enterprises harness their data? The Informatica IDMC team—a strategic pillar of Salesforce—is building what comes next: an AI-native data integration platform where Generative AI, LLMs, and Agentic architectures don't just assist workflows—they fundamentally reinvent them. We're talking petabyte-scale data movement that thinks, adapts, and self-optimizes. This is a principal-level engineering role where you'll own the technical direction for one or more teams, making architectural bets at the frontier of data integration and AI. You won't just design systems—you'll define the patterns that thousands of enterprise customers depend on to run their businesses. We need a high-performing hybrid engineer who leads from the front: shipping production-grade code that powers intelligent data pipelines one day, and elevating an entire team's craft through architectural vision and mentorship the next. If you want to work at the intersection of massive-scale distributed systems and cutting-edge AI—where your decisions directly shape a platform processing more data than most engineers will
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