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Salesforce

Lead Software Engineer- Distributed Systems

Salesforce is hiring a Lead Software Engineer- Distributed Systems in San Francisco, United States. It pays $173k-$260k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions Java, Public Cloud and AI agents among its tools and skills.
  • Level classes it as a lead role.
  • Salesforce has 1,500+ other open roles on Level.

AI in this role

Lead a backend distributed systems team building control plane and edge intelligence services for cloud-scale connectivity infrastructure.

javapublic-cloud
ai-agentsdistributed-systemsmicroservicesnetworkingcloud-management

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.

Salesforce powers some of the largest companies on the globe with its core CRM offering. One of the components of this infrastructure that helps achieve the global scale involves network software that provides optimized and secure connectivity - between our customers and the application, between our data centers and customer applications. The Connectivity and Edge teams are responsible for delivering many of the complex software products that deliver this experience to our customers. As our service and platform grow to fully embrace lights-out operations, single-click deploy to tens of thousands of nodes, and services that self-heal and self-optimize, we have to balance this with global scale and traffic distribution to enhance our end user experience.

Edge is hiring a backend Java engineer with distributed systems, micro-services, and public cloud experience to support this growth. The role will lead the design, development, testing, and operations of both the Edge Control plane service and the Edge Intelligence service. The Edge Control plane automates Edge enablement for our customers. Edge Intelligence provides Real-time analytics capabilities which is used to self-heal and self-optimize Edge and Connectivity services.

Some attributes of successful candidates

  • Experience designing, developing, debugging, and operating resilient distributed systems

  • Eat, sleep, and breathe services. You’ll have experience balancing live-site management, feature delivery, and retirement of technical debt

  • Experience with managing large, complex systems in the cloud.

  • Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance

  • Excited by building reliable, self-healing services on unreliable hardware

  • Capable of driving and delivering thin slices of functionality on a regular cadence with data-driven feedback loops in an agile environment

  • Be passionate about automation

  • Create, maintain and share technical documentation used by engineers and other team members

Required Skills

  • 10+ years of engineering experience

  • Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java.

  • Solid knowledge of Database technologies

  • Experience with Agile development methodology and Testing

  • Experience using telemetry and metrics to drive operational excellence

  • In depth experience of design patterns, data structures, algorithms, and concurrency

  • Public cloud engineering on GCP, AWS, Alibaba and/or Azure platforms

  • Experience with container orchestration systems Kubernetes, Docker, Helios, Fleet or Mesos

  • Experience owning and operating multiple instances of mission-critical infrastructure services including, monitoring, alerting, logging, and reporting applications

Preferred Qualifications

  • Experience with open source projects

  • SOAP/REST APIs and general API design

  • Knowledge of network technologies, such as TCP/IP, DNS, TLS termination, HTTP proxies, etc.

  • Experience with Big data technologies like Spark, Kafka, Druid

  • CI/CD experience with Jenkins

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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

How we rate this

Lead Software Engineer- Distributed Systems at Salesforce rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDistributed SystemsMicroservicesNetworkingCloud ManagementJavaPublic Cloud

Also common in software engineer jobs at this level

Pay

This job starts at
$173k
Typical software engineer job
$167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where microservices was part of your work. What did you do?
  4. Tell me about a project where networking was part of your work. What did you do?
  5. Tell me about a project where cloud management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Distributed Systems, Microservices, Networking, and Cloud Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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