Cloud Data Engineer

Insight Global (United States); Burbank (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Insight Global is seeking an experienced Cloud Infrastructure Engineer to design, deploy, and manage enterprise GCP infrastructure and related Windows services. You will ensure reliability, security, cost efficiency, and alignment with architecture standards while collaborating with development, security, and IT teams.

You will design and optimize Compute Engine, GKE, VPCs, Cloud CDN, Load Balancing, and data services; lead projects, maintain documentation, and drive automation using IaC,

Qualifications

• 5+ years in cloud infrastructure or platform engineering with 3+ years on GCP.
• Hands-on with GKE and enterprise Kubernetes in complex environments.
• Experience with Windows Server and Active Directory in cloud contexts.
• Proficient in IaC and GitOps practices.
• Strong collaboration, communication, and project management.
• Proven incident response, disaster recovery, and cost optimization skills.

Responsibilities

• Design, implement, and manage enterprise GCP infrastructure and services.
• Lead cloud and infrastructure projects with milestones and stakeholder updates.
• Automate operations using IaC, CI/CD, and scripting.
• Provide guidance and documentation to IT teams.
• Monitor, optimize cost and performance with Datadog; ensure reliability.

Skills

GCP expertise

GKE

IAM & security

IaC / GitOps

CI/CD pipelines

Automation scripting

Datadog

Networking

Education

Google Cloud Professional Cloud Architect

Other Google Cloud certifications

Tools

Terraform

Ansible

GitOps

Bitbucket

Jenkins

PowerShell

Python

Job description

Job Description

Designs, implements, and manages enterprise cloud infrastructure and services, primarily within Google Cloud Platform (GCP). Ensures cloud and supporting Windows infrastructure is reliable, secure, scalable, cost-effective, and aligned with architecture and operational standards. Applies advanced technical judgment to evaluate design options, resolve complex issues, automate operations, and recommend improvements across cloud, container, networking, security, and infrastructure services. Partners with development, security, and IT teams and provides technical guidance, documentation, and project support for enterprise initiatives.

Designs, deploys, manages, and optimizes GCP infrastructure and core services, including Compute Engine, Cloud Storage, VPC networks, load balancing, Cloud CDN, and related platform components, to meet availability, scalability, performance, and cost requirements. Designs and supports Google Kubernetes Engine (GKE) environments and collaborates with development teams to integrate, deploy, and operate applications using reliable container and cloud architecture practices. Leads or contributes to cloud and infrastructure projects, manages assigned milestones and stakeholder communications, maintains technical and operational documentation, and provides technical guidance and support to IT team members. Investigates and resolves complex cloud, server, networking, and platform incidents; evaluates possible causes and recovery options, coordinates escalation when needed, and supports backup, disaster recovery, and business continuity capabilities. Designs, administers, and troubleshoots Windows Server and Active Directory services that support cloud and enterprise infrastructure, including integration, authentication, availability, and operational support requirements. Monitors cloud infrastructure, logging, capacity, performance, reliability, and cost using GCP tools and Datadog; analyzes trends and exceptions and recommends or implements corrective and optimization actions. Automates cloud and infrastructure operations using infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Jenkins, or similar technologies to improve consistency, security, and operational efficiency.

Skills and Requirements

• Minimum 5 years of relevant cloud infrastructure, systems engineering, or platform engineering experience, including at least 3 years working with Google Cloud Platform.
• Minimum 5 years of hands‑on experience with Google Kubernetes Engine (GKE) or comparable enterprise Kubernetes platforms.
• Preferred 8 years of progressively responsible cloud and infrastructure engineering experience in an enterprise environment.
• Preferred 8 years experience supporting Windows Server, Active Directory, cloud networking, security, automation, CI/CD, backup, and disaster recovery solutions.
• Strong knowledge of GCP architecture and services, including Compute Engine, Cloud Storage, GKE, VPC, Cloud Load Balancing, Cloud CDN, BigQuery, Cloud Functions, Cloud Run, and Cloud Pub/Sub.
• Strong knowledge of Windows Server, Active Directory, cloud networking, identity and access management, encryption, security controls, compliance requirements, backup, disaster recovery, and business continuity practices.
• Ability to analyze ambiguous or complex technical issues, compare alternatives, assess risk and operational impact, and make or recommend sound architecture and troubleshooting decisions.
• Proficiency with infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Datadog, or similar tools.
• Knowledge of DevOps and DevSecOps practices, including integrating security and operational controls into automated delivery pipelines.
• Familiarity with GCP database services, including Cloud SQL, Spanner, AlloyDB, Bigtable, and BigQuery.
• Strong project management, documentation, problem-solving, communication, and cross-functional collaboration skills; ability to manage milestones, communicate with stakeholders and management, and provide technical guidance.
• Google Cloud Professional, Cloud Architect, Professional Data Engineer, or other relevant Google Cloud certification.
• Datadog certification or demonstrated hands‑on experience with Datadog monitoring and logging.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].