Join FullStack as a Site Reliability Engineer focusing on GCP infrastructure and production reliability. You will own incident response, monitoring, and automation while collaborating with client engineering teams. Requires 4+ years of SRE experience, strong Python scripting, and expertise in Docker and GCP services.
Key Highlights
Own production reliability, incident response, and on‑call operations for GCP‑based services.
Design and implement monitoring, alerting, and observability using industry‑standard tools.
Automate infrastructure and CI/CD pipelines with Python, Bash, Docker, and IaC.
Key Responsibilities
Integrate directly into client teams and collaborate daily with designers and engineers.
Own production reliability, incident response, on‑call duties, and service availability.
Build and improve monitoring, alerting, and observability systems using tools such as Grafana or Datadog.
Develop automation scripts and tools in Python or Bash to streamline operations.
Create and maintain Docker‑based container workloads and CI/CD pipelines.
Perform root‑cause analysis, post‑mortems, and implement reliability metrics.
Optimize PostgreSQL performance through indexing, connection pooling, and capacity planning.
Improve infrastructure scalability, performance, cost efficiency, and support ML/data pipelines.
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Technical Skills Required
Google Cloud Platform
Python
Docker
Benefits & Perks
Competitive pay
100% remote work
Continuing education opportunities
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Nice to Have
Experience with Terraform or similar IaC tools
Supporting ML or data infrastructure, training pipelines, and model monitoring
Experience with physical or IoT systems, edge devices, cameras, or on‑site hardware
Familiarity with bare‑metal infrastructure, hardware monitoring, redundancy, and high availability
AI‑enthusiastic workflow tools such as Claude Code, Gemini CLI, Codex, or Copilot CLI
Personal projects using Cursor, Windsurf, or Google Antigravity
Job Description
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
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