Cloud DevOps Engineer

Job Title:Cloud DevOps Engineer (GCP)

Location:Washington, DC

Employment Type:Full-time Onsite

Experience Level:Mid to Senior

About Us

We're an early-stage startup on a mission to [insert mission or product goal—e.g., "redefine how companies use data to make real-time decisions"]. As we scale our cloud-native platform, we're looking for aCloud DevOps Engineerwith deepGoogle Cloud Platform (GCP)experience to help us build, secure, and scale our infrastructure for reliability and performance.

About the Role

As ourCloud DevOps Engineer, you'll play a critical role in designing, implementing, and managing the infrastructure that powers our platform. You'll work closely with engineering, product, and security teams to automate deployment pipelines, manage cloud infrastructure, and implement best-in-class DevOps practices. This is a hands-on role where you'll have ownership and a direct impact from day one.

Key Responsibilities

Design, deploy, and manage cloud infrastructure onGoogle Cloud Platform (GCP).

Build and maintainCI/CD pipelinesto support rapid and reliable delivery.

Automate infrastructure provisioning using tools likeTerraform,Cloud Deployment Manager, or equivalent.

Monitor and troubleshoot production systems to ensurehigh availability,performance, andsecurity.

Collaborate with software engineers to define deployment processes, manage secrets, and streamline release cycles.

Implement and maintain observability tooling for logging, metrics, and alerting (e.g.,Cloud Logging, Prometheus, Grafana, Stackdriver).

Ensure compliance with cloud security best practices and manage IAM policies.

Participate in incident response and root cause analysis for system outages.

Required Qualifications

8-10+ years of DevOps or cloud infrastructure experience, withstrong hands-on experience in GCP.

Proficiency withinfrastructure as codetools (e.g., Terraform, Ansible, Deployment Manager).

Experience setting up and maintainingCI/CD pipelines(GitHub Actions, GitLab CI, CircleCI, etc.).

Knowledge of containerization and orchestration tools (Docker,Kubernetes, GKE preferred).

Familiarity with networking, DNS, load balancing, and cloud storage.

Experience withmonitoring, alerting, and log aggregationin a production environment.

Strong scripting skills (e.g., Bash, Python, or Go).

Excellent troubleshooting and problem-solving abilities.

Nice to Have

GCP certifications (e.g., Professional Cloud DevOps Engineer or Cloud Architect).

Experience with multi-cloud environments or hybrid infrastructure.

Familiarity with security tools and practices (e.g., vulnerability scanning, secrets management).

Background in supporting data platforms, APIs, or event-driven systems.