Lead Software Engineer- Distributed Systems
Job details
- Employment
- Full-time
- Level
- Staff / principal
- Experience
- 10+ years
- Posted
- Sep 16, 2026
- Last confirmed open
- Oct 23, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Do you have the unrestricted right to work in the country to which you're applying? (You must answer “No” if you are on any visa or possess any government issued work authorization document that has an expiration date; you should answer “Yes” if you have DACA or TPS authorization in the US)
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- I attest/confirm that I have no post-government employment restrictions currently applicable to me that have not already been addressed or disclosed in the previous questions, OR that if I am aware of any applicable restrictions, I will disclose them to the recruiter if contacted for further processing of my application. If I received written advice from my current or former government employer about work restrictions that are still active, I will provide it to the recruiter if contacted for further processing of my application.
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About this role
Salesforce is leading the AI and Agentic revolution as the world's #1 AI CRM — and that incredible momentum demands network infrastructure that's fast, secure, intelligent, and relentlessly reliable. Our Edge CDN team is building a high-powered backbone that seamlessly connects millions of users to our platform, powering next-generation autonomous AI agents across clouds, data centers, and continents.
As our platform expands to support fully autonomous, self-healing, and self-optimizing operations with single-click deployments to tens of thousands of global nodes, we're continuously pushing the limits of global scale and performance to deliver exceptional user experiences.
We are seeking a visionary, high-energy backend Java engineer to lead the design, architecture, and deployment of cutting-edge CDN services. You'll build real-time analytics and intelligent automation that enable our systems to self-heal and self-optimize in real time — ensuring complex, agentic AI-driven workflows execute seamlessly at scale.
If you get energized by building ultra-resilient distributed systems, driving live-site excellence alongside rapid feature innovation, and running mission-critical multi-cloud infrastructure (GCP/AWS/Azure/Alibaba) for the AI era — we want you on our team!
Some attributes of successful candidates
- Proven track record of 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
- Passionate about building autonomous, self-healing systems that optimize performance for AI-heavy traffic patterns
- 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 hands-on, battle-tested engineering experience
- Deep mastery of object-oriented programming with a strong focus on Java
- Solid, reliable expertise in modern database technologies
- Enthusiasm for Agile development workflows, continuous integration, and comprehensive testing
- Passion for leveraging telemetry and metrics to champion operational excellence
- In-depth fluency in design patterns, data structures, algorithms, and high-concurrency systems
- Proven track record engineering top-tier public cloud platforms across GCP, AWS, Azure, and/or Alibaba
- Hands-on expertise with cutting-edge container orchestration tools like Kubernetes, Docker, Helios, Fleet, or Mesos
- Drive to own and operate mission-critical infrastructure services at scale, including monitoring, alerting, logging, and performance analytics
Preferred Qualifications
- Active contributions or excitement for open-source projects
- Strong background in SOAP/REST APIs and clean, scalable API design
- Solid grasp of core networking protocols and technologies, Nginx, Envoy, TCP/IP, DNS, TLS termination, and HTTP proxies, AWS Cloudfront, Google CDN, Cloudflare, Akamai.
- Familiarity with high-throughput big data stack tools like Spark, Kafka, and Druid
- Experience streamlining robust CI/CD pipelines with Jenkins