Salesforce Logo

Salesforce

Senior/Lead Engineer, Performance Engineering

Reposted Yesterday
Be an Early Applicant
In-Office
Bellevue, WA, USA
149K-286K Annually
Senior level
In-Office
Bellevue, WA, USA
149K-286K Annually
Senior level
Lead performance engineering for SalesforceDB, a distributed transactional database operating at massive scale. Responsibilities include profiling and optimizing database and storage systems, diagnosing scalability issues, developing benchmarks and models for capacity planning, building telemetry and performance dashboards, and qualifying releases for production. The role requires strong systems programming, database internals, performance testing, SQL analysis, Linux, and distributed-systems expertise, plus collaboration across engineering and analytics teams.
The summary above was generated by AI

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.

Senior/Lead Performance Engineer, Distributed Database Systems


What You'll Actually Be Doing


Do you specialize in systems performance? Do you love working with data and automation? Want to be part of something big? Help build the distributed database technology that powers the growth of the Salesforce Platform worldwide.

SalesforceDB is the transactional database behind Salesforce CRM. It runs more than 1.1 trillion transactions per month on thousands of database instances.


The Salesforce Database team is fast-paced and collaborative. We work across all areas of our distributed transactional database technology stack. We are seeking performance engineers to deliver the tools, analysis, and optimizations that take SalesforceDB to new levels of performance and scalability with every release.

Our performance engineers partner closely with database and storage system developers, application performance engineers, infrastructure engineers, and our analytics team. Together, we deliver all the pieces that add up to high performance in production at scale. Your improvements ship across the whole production fleet every release. Some of our work is published at database research conferences such as CIDR. We are a high-performing team with high standards. We value integrity, rigor, and continuous learning.


Core Responsibilities & Scope

• Drive the design and scalability of our database stack with development teams, from research and conception through delivery in production..

• Find optimization opportunities by profiling the database engine and storage service. Help us meet the performance and scale needs of our largest customers and newly onboarded applications..

• Identify the root cause of performance and scalability problems. Then fix them yourself or drive the fix with the owning team..

• Lead benchmarking and modeling that guide hardware selection and capacity planning for the fleet..

• Build the telemetry, dashboards, and analysis that show how the production fleet performs against its targets..

• Own performance qualification of SalesforceDB releases. Build and run the workloads and benchmarks that decide whether a release goes to production..


You're Our Person If...

• A related technical degree, or equivalent experience..

• 5+ years of performance engineering on systems software, ideally databases, storage, or distributed systems..

• Strong computer science fundamentals: data structures, algorithms, concurrency, and memory management..

• Strong coding skills in Java or C/C++..

• Practical experience with load, benchmark, and regression testing, ideally for multi-tenant workloads at scale..

• A track record of root cause analysis for performance and scalability problems in complex distributed systems..

• Strong SQL and performance data analysis skills (CPU, latency, throughput, per-tenant resource use)..

• Experience with telemetry, dashboards, and monitoring against performance targets..

• Fluency with Linux, OS internals, and shell/Python scripting..

• Clear communication and collaboration skills across database, storage, infrastructure, application performance, and analytics teams..

• Integrity and a growth mindset: you report what the data shows, seek feedback, and keep learning..


Even Better If...

• MS or PhD in databases or distributed systems..

• Deep knowledge of database internals: optimizer, query execution, storage, transactions, and concurrency control..

• SQL query optimization..

• Splunk or similar log analytics for performance monitoring..

• Java and C/C++ profiling, JVM tuning, and heap dump analysis..

• Statistical analysis and experimental design..


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.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 $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Salesforce Bellevue, Washington, USA Office

929 108th Avenue NE, Bellevue, WA, United States, 98004

Similar Jobs

Yesterday
Remote or Hybrid
United States
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
Yesterday
In-Office
69K-114K Annually
Senior level
69K-114K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Develop and optimize scalable upstream manufacturing processes for recombinant proteins and other modalities using shake flasks, bench-scale bioreactors, and scale-down models. Lead technology transfer to pilot and GMP facilities, support manufacturing campaigns, document experiments, author technical reports, contribute to regulatory submissions, and apply process analytics, modeling, and automation to improve process development.
Top Skills: Ambr15Ambr250BioreactorsElectronic Lab NotebooksProcess Analytical TechnologiesPythonShake Flasks
Yesterday
Hybrid
159K-294K Annually
Senior level
159K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead and build Pfizer's AI-first design system across human and agent surfaces. Ship design standards-as-code, own conversational and agentic UX, drive adoption metrics, produce high-fidelity prototypes, advise executives, partner with AI/Product/Engineering, and grow a high-performing design team focused on safety, compliance, accessibility, and measurable experience outcomes.
Top Skills: Agent FrameworksAPIsDesign-Token PipelinesFront-End Development PrinciplesLlm ApisPrompt EngineeringTelemetryWcag 2.1 Aa

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account