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Senior DevOps Engineer / Cloud Infrastructure Engineer – Cybersecurity

AI Summary
This contract Senior DevOps / Cloud Infrastructure Engineer role owns the design, automation, security, and reliability of production Google Cloud Platform environments. The engineer will develop modular Terraform infrastructure, build CI/CD workflows, and improve cloud performance and cost efficiency. Responsibilities also include incident troubleshooting, high-availability operations, and collaboration with engineering teams. The role requires U.S. citizenship and U.S. residence because it supports government-contract security and compliance obligations.
Remote from
USA
Salary
Undisclosed
Employment
Contract
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
26
Application actions
1
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Opportunity details

About this role.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is an innovative cybersecurity company focused on data security, compliance, and governance. Its API-based technology provides advanced encryption and data-level protection that integrates seamlessly into software, devices, and networks, helping organizations safeguard sensitive information across complex environments. The company works with businesses and U.S. government agencies to meet rigorous compliance requirements and strengthen protection against both current cyber threats and emerging AI-driven risks.

Job Summary

We are seeking an execution-focused Senior DevOps / Cloud Infrastructure Engineer to join our team on a contract basis. In this role, you will serve as a subject matter expert driving our cloud architecture, automated infrastructure delivery, and continuous deployment ecosystem. This person will own the lifecycle of our Google Cloud Platform (GCP) environments using Terraform, ensuring our cloud operations are highly scalable, cost-optimized, secure, and resilient.

Responsibilities

  • Cloud Infrastructure: Design, deploy, and manage scalable, secure, and resilient cloud infrastructure on Google Cloud Platform (GCP).

  • Infrastructure as Code (IaC): Write, maintain, and review modular, reusable IaC configurations using Terraform.

  • CI/CD & Automation: Implement and manage CI/CD pipelines to automate infrastructure deployment and application delivery workflows.

  • Performance & Optimization: Collaborate with development and engineering teams to optimize cloud performance, security, and cost efficiency.

  • Reliability & Incident Management: Monitor system reliability, troubleshoot infrastructure incidents, and maintain high availability across all services.

Qualifications and Job Requirements

  • Citizenship & Location: Must be a U.S. citizen currently residing in the United States. This is a strict requirement due to government contract and security compliance obligations.

  • Deep GCP Mastery: Hands-on experience configuring and maintaining production workloads across core GCP services (e.g., Compute Engine, IAM, VPCs, Cloud Networking).

  • Terraform Expertise: Demonstrated track record of managing infrastructure at scale using modular, production-ready Terraform.

  • Senior-Level Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Platform Engineering.

  • CI/CD Proficiency: Hands-on experience creating continuous integration and continuous deployment pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, or GCP Cloud Build).

Highly Desirable Skills

  • Atlantis Workflow Automation: Experience with or exposure to Atlantis for PR-driven Terraform automation and execution.

  • Containers & Orchestration: Strong knowledge of Docker and Google Kubernetes Engine (GKE).

  • Security Standards: Deep understanding of zero-trust security, IAM governance, and cloud compliance auditing.

What We Offer

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

  • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.

Apply now!

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior, security-sensitive infrastructure role requiring deep hands-on expertise across GCP, Terraform, CI/CD, Kubernetes, reliability engineering, and cloud governance. The engineer is expected to own critical production infrastructure with substantial independence.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per hour)Market rate
$85
US market range (per hour)$75–$105
AI insightThe hourly pay period is inferred from the job context; it was not explicitly stated by the employer. No numeric employer compensation was disclosed. The hourly cadence is inferred because this is a senior U.S.-based contract infrastructure role; the estimated market range is USD 75–105 per hour, with a midpoint of USD 85 per hour.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you structured Terraform modules for a large-scale GCP environment?

I organize modules around reusable platform capabilities such as networking, IAM, compute, and Kubernetes. I use versioned modules, clear input and output contracts, remote state with controlled access, and automated validation through formatting, linting, security scanning, and plan reviews.

How would you secure a GCP environment supporting sensitive government-related workloads?

I would apply least-privilege IAM, separate environments and projects, strong audit logging, encryption controls, network segmentation, private connectivity where appropriate, and policy-as-code guardrails. I would also establish continuous compliance monitoring and regularly review privileged access.

Describe your approach to designing a reliable CI/CD pipeline for infrastructure changes.

I use pull-request-driven workflows that run Terraform validation, static analysis, security checks, and a reviewed plan before any deployment. Production applies require protected approvals, traceable change records, controlled credentials, and a rollback or recovery strategy for failed changes.

What steps would you take during a production infrastructure incident on GCP?

I would first assess customer impact and stabilize the service using runbooks, monitoring data, and safe mitigation actions. I would communicate status clearly, preserve evidence, identify the root cause, and then implement preventive improvements such as alerts, automated remediation, or infrastructure changes.

How do you balance cloud cost optimization with resilience and security?

I start with service-level requirements and security controls that cannot be compromised, then use rightsizing, autoscaling, lifecycle policies, committed-use analysis, and cost visibility by team or workload. Cost changes are tested against availability and performance metrics so savings do not introduce operational risk.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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