Salesforce

Technology

Principalfullstackengineer

$197–314k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“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; Promote team health; Champion Customer Trust

Industry & Context.

Technology
Problems you'll solve

Resolve technical issues; Root cause analysis

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

Work at intersection of systems and AI

Act as Technical Leader

Serve as technical authority

Write architectural documents

Write design specifications

Resolve cross-team technical 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

Ensure team delivers commitments

Conduct design reviews

Set Definition of Done expectations

Lead service ownership practices

Provide constructive feedback

Explain architectures

Engage with customers

Understand real-world needs

Champion Customer Trust

Synthesize external guidance

Translate guidance into direction

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, Estimates, Risk identification

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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