Cloud Infrastructure Engineer (GCP)

We are seeking a Cloud Infrastructure Engineer to join one of our USA clients, a fast-growing startup tackling climate change by building the next-generation AI platform for heavy industrial manufacturing. The platform ingests streams of time-series data, documents, and operational context from factories, and uses AI agents to guide plant operators toward safer, more efficient decisions that also reduce carbon footprint.

In this role, you’ll partner with Head of Infrastructure and scale cloud environment. You’ll work across GCP, Terraform, security, observability, data pipelines, and core platform reliability. This is a senior IC role for someone with deep experience with Cloud infrastructure (GCP strongly preferred, or AWS with an interest in learning GCP) and strong operational instincts, who knows modern cloud-native infrastructure inside and out and enjoys
wearing many hats in a fast-moving startup, spanning DevOps, SRE, and also a bit of backend & data engineering.

• Designing & maintaining GCP infrastructure (GKE, Bigtable, BigQuery, GCS, networking).
• Building monitoring, alerting, logging, and observability from the ground up.
• Creating zero-downtime release infrastructure and processes.
• Improving our security posture across auth, IAM, policies, and data access.
• Evaluating and implementing solutions to simplify and scale data ingestion (ETL/ELT) using technologies like DataBricks, Airflow, etc.
• Partnering with backend, AI, and FE teams to deliver reliable, secure systems end-to-end.

• 5+ years experience in cloud infrastructure or DevOps roles, ideally at the senior IC level
• Deep expertise with GCP (IAM, networking, GKE/Cloud Run, Cloud Monitoring, Bigtable/BigQuery, Pub/Sub); similar experience with AWS and an interest in learning GCP is also acceptable
• Strong Terraform experience (best practices, modules, workspaces, CI integration, testing)
• Strong experience with High Availability infrastructure
• Strong understanding of networking layers, SSL certs, and encryption patterns
• Proven ability to build and maintain monitoring, alerting, and logging systems
• Strong knowledge of cloud security, IAM policy design, and least-privilege practices
• Familiarity with distributed systems concepts (idempotency, backpressure, retries, event-driven workflows)
• Experience operating production APIs or services (FastAPI, Flask, or similar)
• Strong operational and debugging instincts — you know how to track down issues across network, infra, and application layers
• Ability to work cross-functionally with backend, data, and AI/ML teams in a fast-moving environment

• Python and its ecosystem.
• Airflow, Dagster, DataBricks, or similar orchestration.
• Experience building ETLs or ELTs at scale and in production.
• Parquet-based pipelines and large time-series ingestion.
• Cross-cloud or hybrid-cloud data transfer.
• PropelAuth, Identity-aware frameworks, or SAML/OIDC integrations.
• GitHub Actions, Cloud Deploy, or equivalent CI/CD systems.
• Infrastructure hardening, vulnerability scanning, and policy-as-code.
• Interest in industrial operations, manufacturing systems, or applied AI.