Site Reliability Engineer

The Cypress Group · New York City Metropolitan Area
LinkedIn

Posted

Jul 07, 2026 (8d ago)

Seniority

Lead

Work Model

Not Specified

Type

Not Specified

Category

DevOps & SRE

Salary

Not specified

Skills

AWS C++ CI/CD Cypress Datadog GCP Go Kubernetes Linux Observability Prometheus Python Rust SRE Terraform TypeScript

Description

Senior Site Reliability Engineer (SRE / Infrastructure) Role Overview We’re hiring a Senior SRE to build and scale the infrastructure behind a high-growth, production system. You’ll ensure reliability, performance, and scalability as the platform grows from early traction to large-scale usage. This role focuses on designing resilient systems, improving observability, and automating operations so engineering teams can move quickly and safely. What You’ll Do Own reliability, scalability, and performance of production systems Build and manage cloud infrastructure (primarily AWS/GCP + Linux) Design and operate Kubernetes clusters and containerized workloads Improve CI/CD pipelines and deployment workflows Lead incident response, on-call practices, and root cause analysis Build observability systems (monitoring, logging, alerting) Partner with engineers to design resilient systems (databases, pipelines, async systems) Automate infrastructure and operational workflows using IaC Requirements 5+ years in SRE, DevOps, or infrastructure-focused engineering Strong experience with cloud platforms (AWS/GCP) and Infrastructure as Code (e.g., Terraform) Production experience with Kubernetes Experience with monitoring/observability tools (e.g., Prometheus, ELK, Datadog) Strong understanding of distributed systems, networking, and reliability best practices Comfortable coding/scripting (e.g., Python, Go, or similar) Nice to Have Experience scaling high-availability systems Familiarity with CI/CD and modern deployment strategies (canary, blue/green) Background in data pipelines, async systems, or large-scale applications Exposure to Go, Rust, C++, or TypeScript Interest in applying AI to infrastructure or operations