Senior Infrastructure Engineer (GCP) — 100% Remote

Top Profil; France; Remote; EUR 80,000 - 105,000; Full time

Benefits offered by this job

Remote work

Job summary

Collective is seeking a Senior Infrastructure Engineer (GCP) to join a highly experienced infrastructure team responsible for designing, building, and operating a large-scale cloud platform.

You will lead architecture decisions, collaborate with Data Engineering and infrastructure teams, and own reliability, performance, and security across globally distributed systems. This freelance/remote role offers challenging projects and strong ownership.

Qualifications

• 10+ years in Infrastructure/SRE/Production Eng at senior/staff level
• 3+ years production experience with GCP including GKE, VPC, Load Balancing, IAM, GCS, BigQuery, Pub/Sub, and Cloud Monitoring/Logging
• Proven experience operating large-scale production infrastructure across multi-region deployments
• Advanced Terraform expertise: modules, state, refactoring, CI/CD integration, and policy as code
• Strong system design skills for distributed systems and cost trade-offs
• Deep Kubernetes expertise: scheduling, networking, RBAC, storage, Helm/Kustomize, operators, production troubleshooting
• Excellent Linux and networking knowledge; perf, strace, tcpdump, eBPF
• Production-grade Go or Python code; Go preferred
• Fluent English, written and spoken

Responsibilities

• GCP architecture: design, maintain, and optimize cloud infra with GKE, Compute Engine, VPC, IAM, and more
• Infrastructure as Code: manage Terraform modules, reproducible environments, CI/CD, and reviews
• Kubernetes operations: run and scale production GKE, autoscaling, security, observability
• Site Reliability Engineering: define SLOs, monitor, alert, incident handling, blameless postmortems
• Production operations: ensure reliability, apply security patches, capacity planning, backups, DR, on-call
• Cloud cost optimization: monitor spend, sizing, committed usage, cost-efficiency initiatives
• Automation: build internal tools, pipelines, and operators to reduce manual work
• Security: least-privilege IAM, secrets management, Linux hardening, secure CI/CD
• Data infrastructure: collaborate on scalable data pipelines for globally distributed infra
• Technical leadership: review designs, document best practices, mentor engineers

Skills

GCP

Python

Golang

Site reliability

Linux

Kubernetes

Cloud Architecture

Terraform

Tools

GKE

Compute Engine

VPC

IAM

GCS

BigQuery

Pub/Sub

Terraform

CI/CD

Job description

Skills

Google Cloud Platform Python Golang Site reliability engineering Linux Kubernetes Cloud Architect Terraform

Contract type:

Freelance / Contract

Daily rate:

500

Remote

What they need

About the Opportunity

We are looking for a Senior Infrastructure Engineer (GCP) to join a highly experienced infrastructure team responsible for designing, building, and operating a large-scale cloud platform.

Our client is an international technology company operating a large-scale, globally distributed cloud and data infrastructure.

This is an opportunity to work on complex infrastructure challenges involving reliability, scalability, performance, security, and cloud cost optimization.

We are looking for someone who has already managed large-scale production infrastructure and can bring proven technical expertise, strong ownership, and architectural leadership.

You will work closely with the Data Engineering leadership and infrastructure team.

Your Responsibilities

GCP Architecture: Design, maintain, and optimize cloud infrastructure using GKE, Compute Engine, VPC, Load Balancing, IAM, GCS, BigQuery, and Pub/Sub.

Infrastructure as Code: Manage infrastructure through Terraform, including reusable modules, reproducible environments, CI/CD pipelines, and code reviews.

Kubernetes Operations: Operate and scale production GKE clusters, including upgrades, autoscaling, workload isolation, security, and observability.

Site Reliability Engineering: Define SLOs, implement monitoring and alerting, manage production incidents, and conduct blameless postmortems.

Production Operations: Ensure platform reliability through security patches, capacity planning, backups, disaster recovery, and participation in an on-call rotation.

Cloud Cost Optimization: Monitor and optimize cloud spending through resource sizing, committed usage, and cost-efficiency initiatives.

Automation: Build internal tools, pipelines, and operators to eliminate repetitive manual operations.

Security: Implement least-privilege IAM, secrets management, Linux hardening, and secure CI/CD practices.

Data Infrastructure: Collaborate with Data Engineering teams to design scalable data processing pipelines and support globally distributed infrastructure.

Technical Leadership: Review infrastructure designs, document best practices, mentor engineers, and contribute to raising engineering standards.

Why Join This Project?

High-impact engineering: Work on infrastructure supporting globally distributed services and large-scale data operations.

Challenging technical environment: Solve real scalability, reliability, networking, and performance problems.

Technical ownership: Make meaningful architectural decisions with a high degree of autonomy.

Experienced engineering team: Collaborate with senior engineers who value technical excellence and pragmatic solutions.

100% Remote: Work within a fully distributed environment, with no office attendance required.

Profile wanted

Required Qualifications

All the following requirements are mandatory.

10+ years of experience in Infrastructure Engineering, SRE, or Production Engineering, including several years in a Senior or Staff-level role.

3+ years of hands-on production experience with GCP, including GKE, VPC, Load Balancing, Cloud NAT, IAM, GCS, BigQuery, Pub/Sub, and Cloud Monitoring/Logging.

Proven experience operating large-scale production infrastructure, involving hundreds of nodes, multi-region deployments, high traffic, or significant cloud budgets.

Advanced Terraform expertise, including module design, state management, infrastructure refactoring, CI/CD integration, and policy as code.

Strong System Design skills, with experience designing distributed systems and evaluating trade-offs between availability, latency, consistency, and cost.

Deep Kubernetes expertise, including scheduling, networking (CNI, Services, Ingress/Gateway API), RBAC, storage, Helm/Kustomize, operators, and production troubleshooting.

Excellent Linux and networking knowledge, including systemd, kernel tuning, TCP/IP, routing, DNS, iptables/nftables, and performance diagnostics using tools such as perf, strace, tcpdump, and eBPF.

Ability to write production-grade code in Go or Python, with Go preferred. Experience must go beyond basic scripting.

Fluent English, both written and spoken.

Candidates should be comfortable providing concrete, measurable examples of infrastructure they have designed and operated.

Nice to Have

Advanced knowledge of internet networking protocols and infrastructure: BGP, ASN, anycast, traceroute, and latency measurement.

Experience managing globally distributed machines, edge infrastructure, or Points of Presence (PoPs).

Experience with large-scale data pipelines using BigQuery, Dataflow, Apache Beam, or Spark.

Familiarity with Prometheus, Grafana, and OpenTelemetry.

GitOps experience with Argo CD or Flux.

Google Cloud certifications (Professional Cloud Architect, Professional Cloud DevOps Engineer) or Kubernetes certifications (CKA, CKS).

Experience with hybrid bare-metal/cloud or multi-cloud environments.

Contributions to open-source projects, technical publications, or conference presentations.