COPY - Infrastructure Engineer (Terraform)

Insight Global
Chandler, AZ, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automation of Tests Cloud Computing Cloud Engineering Software Quality Encodings Computer Networks Identity and Access Management Machine Learning Modular Design Cloud Services Software Engineering
+11 more
Policy as Code Data Logging Google Cloud Load Balancing Cloud Platform System Reliability of Systems Infrastructure as Code (IaC) Infrastructure Automation Frameworks Terraform Software Version Control Devsecops

Job description

Lead the design, build, and delivery of scalable cloud infrastructure solutions on Google Cloud Platform (GCP), ensuring alignment with enterprise architecture and security standards

Develop, maintain, and optimize Infrastructure as Code (IaC) using Terraform Enterprise, including creation of reusable modules and standardized infrastructure patterns for cross-team adoption

Own and evolve CI/CD pipelines for infrastructure delivery, enabling automated validation, testing, and deployment across environments

Embed DevSecOps practices into the development lifecycle, integrating policy-as-code, security controls, and compliance requirements into all infrastructure deployments

Collaborate closely with architecture, security, risk, and platform teams to design secure, compliant, and scalable cloud solutions

Provide technical leadership and mentorship to engineering teams, guiding design decisions, enforcing best practices, and improving code quality and modular design standards

Design and implement GCP networking and architecture components (e.g., VPCs, IAM, load balancing, hybrid connectivity) to support highly available and resilient systems

Drive automation and standardization initiatives, reducing manual effort and increasing consistency across large-scale cloud environments

Build and enhance observability frameworks, including monitoring, logging, and alerting to ensure system reliability and rapid issue detection

Troubleshoot and resolve complex production issues, including infrastructure failures, performance bottlenecks, and deployment challenges

Implement and manage governance and compliance frameworks, ensuring infrastructure aligns with enterprise policies and regulatory requirements

Continuously evaluate and integrate emerging technologies (including AI/ML-driven automation) to improve platform efficiency, scalability, and resilience

Partner with engineering and product teams to translate business requirements into scalable cloud solutions, clearly articulating design trade-offs and technical decisions

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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

  • 7-10+ years of experience in cloud infrastructure engineering, platform engineering, or cloud operations, with a strong focus on Google Cloud Platform (GCP)

  • Proven experience as a technical lead, driving delivery of large-scale cloud infrastructure solutions and guiding engineering teams through complex implementations

  • Deep hands-on expertise in Infrastructure as Code (IaC), with strong proficiency in Terraform Enterprise and automated infrastructure provisioning

  • Strong background in software engineering principles, including code quality, modular design, version control, and automated testing for infrastructure code

  • Extensive experience designing and implementing reusable Terraform modules and standardized infrastructure patterns

  • Strong experience building and maintaining CI/CD pipelines for infrastructure delivery, including automated validation, testing, and deployment

  • Demonstrated expertise in DevSecOps practices, embedding security, compliance, and policy-as-code into the infrastructure lifecycle

  • Advanced knowledge of GCP services, cloud architecture patterns, and networking concepts (VPCs, IAM, load balancing, hybrid connectivity)

  • Experience implementing policy-as-code, governance frameworks, and compliance controls in regulated enterprise environments (financial services preferred)

  • Proven ability to drive automation, standardization, and scalability across cloud platforms in large, complex organizations

  • Strong understanding of observability, monitoring, logging, and incident response in cloud environments

  • Hands-on experience troubleshooting and resolving complex infrastructure and platform issues in production environments

  • Experience mentoring and developing engineers, fostering technical excellence and engineering best practices across the team

  • Ability to collaborate effectively with architecture, security, risk, and platform teams to deliver secure and compliant solutions

  • Strong analytical and problem-solving skills, with the ability to make sound technical decisions in high-impact situations

  • Excellent communication skills, with the ability to articulate technical designs, trade-offs, and solutions to both technical and non-technical stakeholders

  • Experience evaluating and integrating emerging technologies (including AI/ML-driven automation) to enhance platform efficiency and resilience

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