Senior Software Engineer, Data Cloud at Salesforce – Washington - Bellevue | Jobyssey

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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.

The Experience:

Salesforce Data 360 is transforming how enterprises unify, analyze, and activate their data at scale. We're seeking a Senior Member of Technical Staff to architect and build the next generation of our control plane services, powering workloads that serve millions of customers worldwide.
In this role, you'll lead the evolution of our compute platform, designing systems that orchestrate diverse compute workloads including GPU clusters, batch processing, real-time analytics, and AI/ML systems. You'll work at the intersection of infrastructure, distributed systems, and emerging AI capabilities.

You architect and deliver highly scalable, high-quality software while collaborating with geographically distributed engineers and product owners. You bring deep technical expertise and a commitment to engineering excellence, helping define the standards and culture that drive the team forward.

What You'll Actually Be Doing:

Design and build our next gen Control Plane services
Drive architectural decisions on resource isolation, multi-tenancy, and distributed system design
Evolve compute infrastructure to support diverse workload patterns: batch processing, streaming, interactive queries, and AI/ML workloads at true petabyte scale
Design intelligent job scheduling and orchestration systems to maximize resource utilization
Build platform primitives for capacity management, priority-based allocation, and workload isolation
Implement custom Kubernetes operators and controllers for specialized workload requirements
Develop infrastructure strategies to sustain AI/ML workloads, focusing on GPU management and model deployment
Architect sophisticated resource management protocols optimized for varied and complex compute ecosystems
Partner with infrastructure engineering teams to establish integration frameworks for advancing AI technologies
Lead code reviews, define coding standards, and translate functional requirements into technical requirements — ensuring all developed features meet design and code quality standards while fulfilling customer requirements.
Collaborate with product teams and business partners on product and feature design, coordinating the evaluation, scope, and completion of new development requests.
Assess the impact of new requirements across all upstream and downstream applications, systems, and processes, and work with geographically distributed engineers to ensure successful product delivery.

You're Our Person If:

5+ years of software engineering experience with deep expertise in distributed systems
Expert-level Kubernetes experience: operators, controllers, scheduling, resource management
Production experience running large-scale infrastructure serving mission-critical workloads
Strong programming skills in Go, Java, Python, or Rust
Deep understanding of containers, orchestration, networking, storage, and compute isolation
Experience designing and building control planes for distributed infrastructure
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Proven technical leadership: driving architecture, mentoring engineers, influencing technical direction

Preferred Qualifications

Experience with GPU infrastructure and ML/AI workload orchestration
Background in building serverless or function-as-a-service platforms
Expertise in observability tools: Prometheus, Grafana, OpenTelemetry, distributed tracing
Experience with big data processing frameworks (Spark, Flink, Presto, etc.)
Knowledge of vector databases and embedding infrastructure
Contributions to open-source infrastructure projects
Experience in multi-tenant SaaS environments with strong isolation requirements
Familiarity with major cloud providers: AWS, GCP, Azure

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.

The typical base salary range for this position is $148,500 - $223,900 annually. 

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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