GCP Engineer

Siri InfoSolutions Inc; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

GCP Certifications

CI/CD tooling in GCP

Job summary

Siri InfoSolutions Inc. is seeking a GCP Platform Engineer to design, build, and operate scalable, secure infrastructure on Google Cloud Platform.

You will work across Kubernetes workloads, infrastructure as code, IAM controls, data tooling, and observability to keep systems reliable and auditable for product teams. You will implement SRE practices, define SLOs/SLIs, and contribute to incident response while collaborating with software teams to create reusable Terraform modules and self-service

Qualifications

• 3–5 years in a GCP platform engineering, DevOps, or SRE role.
• Hands-on with GKE, Terraform, IAM design, BigQuery/Dataflow.
• Strong written and verbal communication for technical and non-technical audiences.

Responsibilities

• Design, build, and maintain GCP infrastructure with Terraform.
• Operate and improve GKE clusters and security hardening.
• Define and track SLOs/SLIs; incident response and postmortems.
• Manage IAM policies and least-privilege controls.
• Support data platform infrastructure including BigQuery/Dataflow.
• Improve observability with Cloud Monitoring, Prometheus, Grafana.
• Collaborate with software teams for self-service patterns.
• Capacity planning, cost optimization, and disaster recovery planning for GCP workloads.

Skills

GCP Platform

Kubernetes

Terraform

IAM Design

BigQuery

Dataflow

SRE Practices

Scripting

Tools

Terraform

Cloud Monitoring

Prometheus

Grafana

Job description

Role

GCP Platform Engineer

Location

Memphis, Dallas/Hybrid

Department

Platform Engineering / Infrastructure

Roles and Responsibilities

We're looking for a Platform Engineer to help build, secure, and scale our infrastructure on Google Cloud Platform. Work across Kubernetes, infrastructure-as-code, security and compliance, and data platform tooling to keep systems reliable, observable, and easy for product teams to build on. This role sits at the intersection of SRE practices and platform engineering - Spend as much time improving reliability and incident response as you will writing Terraform and hardening IAM policies.

• Design, build, and maintain infrastructure on GCP using Terraform, ensuring environments are reproducible, version-controlled, and easy to audit.
• Operate and improve GKE clusters, including workload scheduling, autoscaling, networking, and container security hardening.
• Apply SRE principles to production systems: define and track SLOs/SLIs, build dashboards and alerting, participate in on-call rotation, and lead or contribute to incident response and postmortems.
• Implement and maintain IAM policies, service account permissions, and security controls aligned with least-privilege principles and compliance requirements (e.g., SOC 2, HIPAA, or similar depending on industry).
• Support and extend our data platform infrastructure, including BigQuery datasets, Dataflow pipelines, and related access controls and cost governance.
• Improve observability across the platform using tools like Cloud Monitoring, Cloud Logging, Prometheus, and Grafana.
• Partner with software engineering teams to provide self-service infrastructure patterns, reusable Terraform modules, and clear platform documentation.
• Participate in capacity planning, cost optimization, and disaster recovery planning for GCP workloads.

Skills Required

• 3-5 years of experience in a GCP platform engineering, DevOps, SRE, or infrastructure engineering role, with meaningful hands-on experience in GCP specifically (or strong equivalent experience in another major cloud with GCP exposure).
• Solid working knowledge of Kubernetes , including deployments, networking (VPC-native clusters, ingress, network policies), and container security practices.
• Experience writing and maintaining production Terraform code, including module design, state management, and multi-environment workflows.
• Practical understanding of IAM design on GCP: custom roles, service accounts, workload identity, organization policies, and audit logging.
• Familiarity with BigQuery and Dataflow (or similar data pipeline tooling), including access controls, cost management, and basic pipeline troubleshooting.
• Experience with SRE practices: SLO/SLI definition, alerting design, on-call participation, and incident postmortems.
• Comfort with scripting (Python, Bash, or Go) for automation and tooling work.
• Strong communication skills and the ability to document systems clearly for both technical and non-technical stakeholders.

Nice to Have

• GCP Professional certifications (Cloud Architect, DevOps Engineer, or Security Engineer).
• Experience with CI/CD tooling such as Cloud Build, GitHub Actions, or GitLab CI in a GCP context.