Lead Software Engineer- Distributed Systems

Salesforce•San Francisco, CA

2d•$172,500 - $285,800•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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.

Requirements

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

Nice To Haves

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

Responsibilities

Lead the design, development, testing, and operations of both the Edge Control plane service and the Edge Intelligence service.
Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance.
Create, maintain and share technical documentation used by engineers and other team members.