United states - redwood city office ghq : 142,000 ...
On-site
High-throughput, low-latency distributed systems
Api contracts and integration
Kubernetes and docker experience
Equinix Inc. is seeking a Staff Software Engineer for their Connectivity Platform to develop a programmable, self-service Connectivity-as-a-Service platform. The ideal candidate will possess strong software development skills, experience in distributed systems, and a collaborative mindset
Job Summary
Contribute to building a fully programmable, self-service Connectivity-as-a-Service (CaaS) platform that underpins critical global connectivity.
Own multiple product features from design through delivery, ensuring work meets SLA demands of Equinix Fabric’s global partner base.
As an employee, you become important to Equinix’s success, with competitive benefits including insurance, retirement plans, and paid time off.
Matching Summary
Match Score: 85
Equinix Inc. is seeking a Staff Software Engineer for their Connectivity Platform to develop a programmable, self-service Connectivity-as-a-Service platform. The ideal candidate will possess strong software development skills, experience in distributed systems, and a collaborative mindset.
Salary
United States - Redwood City Office GHQ : 142,000 - 212,000 USD / Annual; United States - Dallas Infomart Office DAI : 118,000 - 176,000 USD / Annual; Base pay only, does not include bonus, equity, or benefits
Skills & Requirements
Must-have
High-throughput, low-latency distributed systems
API contracts and integration
Kubernetes and Docker experience
Apache Kafka experience
REST API design and OpenAPI/Swagger
Nice-to-have
Senior individual contributor experience
Systems thinking and root-cause analysis
Intellectual curiosity and collaborative mindset
Key Requirements
5+ years of software development experience
Bachelor's degree in computer science or equivalent practical experience
Solid understanding of the OSI model
Familiarity with cloud networking concepts
Practical knowledge of RDBMS and NoSQL/TSDB technologies