A leading financial services AI platform is seeking a Senior Infrastructure Engineer to manage Kubernetes infrastructure and ensure compliance. You'll work on automating secure infrastructure and addressing high-performance regulatory requirements while collaborating with major clients. Ideal candidates will have over 8 years of experience in infrastructure engineering, strong expertise in Docker and Kubernetes, and familiarity with AWS or Azure environments. Compensation ranges from $168k to $213k plus equity, with comprehensive benefits.
Qualifications
8+ years in infrastructure engineering or DevOps at high-growth companies.
Experience managing Docker and Kubernetes clusters in production.
History of architecting AWS, GCP, or Azure at enterprise scale.
Strong experience with Datadog for observability.
Familiar with Infrastructure-as-Code tools like Terraform.
Responsibilities
Own and evolve Kubernetes infrastructure and security policies.
Design and implement progressive delivery pipelines.
Build and maintain observability infrastructure in Datadog.
Lead incident response for outages and capacity needs.
Automate secure infrastructure using Infrastructure-as-Code.
Skills
Infrastructure engineering experience
Docker and Kubernetes
AWS or Azure expertise
Observability tools (Datadog)
Infrastructure-as-Code (Terraform)
Python programming
Job description
A leading financial services AI platform is seeking a Senior Infrastructure Engineer to manage Kubernetes infrastructure and ensure compliance. You'll work on automating secure infrastructure and addressing high-performance regulatory requirements while collaborating with major clients. Ideal candidates will have over 8 years of experience in infrastructure engineering, strong expertise in Docker and Kubernetes, and familiarity with AWS or Azure environments. Compensation ranges from $168k to $213k plus equity, with comprehensive benefits.