Cloud Infrastructure Engineer
Confirmed live in the last 24 hours
SGNL

11-50 employees

Company Overview
SGNL stands out as a leading company in the realm of data protection and access management, offering a unique approach that unifies key data from various systems-of-record, ensuring a robust and dynamic business context. Their advanced technology allows organizations to enhance their existing identity infrastructure and expand policy granularity, providing centralized, real-time access management that is auditable by default. Furthermore, SGNL's demonstrated ability to secure APIs and ensure comprehensive protection for both authentication and authorization, as evidenced by their successful collaboration with Curity and the Kong API Gateway, underscores their industry leadership and technical prowess.

Company Stage

Seed

Total Funding

$12M

Founded

2021

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

10%

1 year growth

6%

2 year growth

1000%
Locations
Remote in USA • Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Development Operations (DevOps)
Docker
Google Cloud Platform
Java
Microsoft Azure
Kubernetes
Python
Datadog
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • 4+ years of professional DevOps/infrastructure experience
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Experience setting up, securing and managing infrastructure on at least one of the major cloud providers (AWS/GCP/Azure)
  • Hands on experience setting up automated CI/CD pipelines for containerized applications
  • BS/BE in CS or related field
  • Final offer will be at the company's sole discretion and determined by multiple factors, including years and depth of relevant experience and expertise, location, and other business considerations
Desired Qualifications
  • 4+ years experience managing cloud based distributed systems
  • 4+ years of programming experience with at least one modern language such as Go, Java, C++, Python
  • Experience with Docker/Kubernetes or other container orchestration systems
  • Experience with observability tooling like Datadog/Grafana/ELK/Prometheus
  • Experience with multi-cloud and private cloud deployments
  • Excellent communication(verbal & written), scripting, problem-solving, and trouble-shooting skills