Principal Infrastructure Architect - Cloud & SaaS Platforms

Insight Global
Frisco, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 245K

Job location

Frisco, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Bash
Software as a Service
Cloud Computing
Data Systems
Data Visualization
Github
Python
Octopus Deploy
PCI Data Security Standards
Redis
Prometheus
WebSocket
Datadog
Aerospike
Grafana
Amazon Web Services (AWS)
Backend
Gitlab-ci
Kubernetes
Druid

Requirements

10+ years of professional experience in infrastructure engineering and architecture, with a proven track record of managing large-scale cloud deployments in AWS (primary), GCP, or Azure.

-Deep, hands-on mastery of Kubernetes and EKS, including experience with custom controllers, operators, and migrating stateful/stateless workloads from VMs to containers.

-Strong experience architecting infrastructure for high-scale data systems, specifically real-time stores (Aerospike, Redis) and analytics engines (Druid, ClickHouse).

-Extensive experience designing secure infrastructure, including implementation of Zero Trust networks, WAFs, and secret management systems. Familiarity with compliance standards (SOC2, PCI-DSS) is a plus.

-Proven ability to build observability pipelines from scratch using OpenTelemetry collectors and backend visualization tools (Prometheus/Grafana/Datadog).

-Expert-level proficiency in Go, Python, or Bash. You automate toil relentlessly and have deep experience with CI/CD pipelines (GitLab CI, GitHub Actions, ArgoCD).

-Deep understanding of cloud networking (VPC, Transit Gateways, Direct Connect) and protocols (gRPC, HTTP/2, WebSocket, QUIC).

About the company

Insight Global is seeking a Principal Infrastructure Architect - Cloud & SaaS Platforms to sit hybrid at a Cybersecurity client in Newport Beach, San Jose, or Frisco Texas. This person bring a deep background in large-scale multi-cloud environments (AWS, GCP, Azure) and modern SaaS delivery. This is a unique opportunity to lead the architectural evolution of their platform, driving a critical migration from legacy EC2 topologies to cloud-native EKS/Kubernetes clusters, and designing the backbone for our next-generation AI and real-time data services. (This role can pay $220,000-245,000 based on years of experience).

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