All remote jobs

Lead Infrastructure Engineer III

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

Remote from
USA
Salary
USD 130k–140k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
10 Nov 2026
Listing views
186
Application actions
6
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

The role, at a glance.

Truckstop is hiring a Lead Infrastructure Engineer III to lead cloud infrastructure automation, operational reliability, and incident response for its SaaS platform. The role centers on Kubernetes-based container orchestration, Azure/AWS infrastructure, Terraform-driven infrastructure as code, CI/CD, monitoring, and security automation. This senior individual contributor and technical leadership position will partner with software, platform, network, security, architecture, and design teams to improve resiliency and development velocity. Candidates need 8–10 years of experience, deep cloud and Linux administration expertise, and the ability to resolve complex production issues with minimal escalation.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a high-complexity lead infrastructure role requiring expert-level ownership across cloud platforms, Kubernetes, Terraform, CI/CD, observability, networking, security, and critical incident response. The role also carries technical leadership expectations and after-hours alert-response responsibilities.

Salary analysis

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

Estimated job medianMarket rate
$135,000
US market range$130k–$175k
AI insightThe disclosed annual base-pay range is $130,000–$140,000 USD, producing a midpoint of $135,000. For a U.S.-based lead infrastructure/DevOps engineer with 8–10 years of experience and deep Kubernetes, cloud, and infrastructure-as-code expertise, an estimated broader market base-salary range is approximately $130,000–$175,000 USD annually; bonus eligibility may increase total compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a resilient Kubernetes platform for multiple engineering teams?

I would begin by defining availability, security, tenancy, and deployment requirements with platform and application teams. I would use managed Kubernetes where appropriate, implement infrastructure as code for cluster and network configuration, establish namespace and RBAC standards, and provide reusable deployment templates. I would also build in autoscaling, observability, backup and recovery procedures, policy enforcement, and tested failure scenarios.

Describe your approach to managing Terraform at scale across cloud environments.

I use modular, versioned Terraform components with clear ownership and documented interfaces. State is stored remotely with locking and access controls, while pull-request workflows run formatting, validation, security checks, and plans before approved applies. I separate environments through controlled configuration and accounts or subscriptions, and I regularly address drift, module upgrades, and lifecycle risk.

How do you approach a critical production outage involving cloud infrastructure?

I first establish incident leadership, confirm customer impact, stabilize the service, and maintain concise stakeholder updates. I use telemetry, recent changes, and dependency analysis to isolate the likely failure domain, while assigning parallel investigation tasks where useful. After recovery, I facilitate a blameless root-cause review and ensure corrective actions include durable automation, monitoring, runbook, or architecture improvements.

What metrics would you use to assess infrastructure reliability and operational performance?

I would track service availability, latency, error rates, saturation, deployment success and rollback rates, mean time to detect, mean time to restore, incident recurrence, alert quality, and infrastructure provisioning lead time. I would connect these measures to service-level objectives and review them with engineering teams to prioritize reliability investments. Capacity trends, cost efficiency, and security-compliance findings would complement the operational KPI set.

How would you integrate security automation into a fast CI/CD pipeline?

I would shift controls left by adding code, dependency, secret, container-image, and infrastructure-as-code scanning to pull requests and build pipelines. Policy-as-code would enforce baseline requirements before deployment, while runtime monitoring and centralized logging would detect issues after release. I would tune controls by risk, provide actionable feedback to developers, and partner with security teams to maintain exceptions, remediation workflows, and audit evidence.

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

About this role.

At Truckstop, we have transformed the entire freight-moving lifecycle with our SaaS solutions.  From freight matching to payments and everything in between, we are the trusted partner for carriers, brokers, and shippers alike. We lead this industry forward with our One Team mindset committing to principles such as assume positive intent, have each other’s back, and be your authentic self.  Our drive for greatness produces high expectations, yet our regard for humans is even higher. Join a team of brilliant minds and generous hearts who care deeply about other’s success.  

Job Summary

As a member of the Technology Operations Team, the Lead Infrastructure Engineer role performs work with a high degree of latitude, handling the most complex issues. The Lead Infrastructure Engineer provides expertiseand direction and performs resolution activities. They are evangelists for automation, and work continuously to automate our cloud environment. The Lead Infrastructure Engineer troubleshoots production issues, responds to incidents and lead collaborative efforts to improve system resiliency and reliability. You will be instrumental in optimizing our development pipeline, leveraging our core technologies and will enhance our development lifecycle through robust automation and efficient operational processes.

Essential Job Functions

· Understand the requirements of the Technology organization and work with architects to plan out the technical roadmap for the immediate future and long-term pursuits.

· Design, Build and implement automated environments using Kubernetes, ensuring scalable, efficient, and resilient orchestration of containerized applications.

· Develop, maintain, and optimize Terraform scripts to automate the provisioning and management of Azure infrastructure, aligning with the Infrastructure as Code (IaC) practices.

· Collaborate closely with software engineering teams to understand their needs, ensuring the operational infrastructure supports fast-paced development cycles and high-quality output.

· Automate monitoring and alerting systems to proactively identify and address issues, minimizing downtime and maintaining high availability.

· Implement security automation, ensuring continuous compliance with industry standards and protection against emerging threats.

· Responsible for implemention and management of cloud infrastructure and network including performing research on production issues.

· Partner with architects and designers in standardizing and automating system implementation and configuration.

· Analyze, execute, and streamline Infrastructure Engineering practices.

· Work closely with the platform engineering to design, deliver, and manage our services with high resiliency, availability, and performance.

· Partner with network and security teams to implement structure, connectivity, and security of our cloud environments.

· Perform incident resolution and root cause analysis of critical outages. Implement solutions to systematic failures. Provide alert response support, including after hours.

· Provide subject matter expertise and ability to confidently resolve complex issues with minimal escalation.

· Provide technical leadership to Infrastructure Engineering group.

· Implement monitoring, develop automated provisioning, and develop self-healing automation.

· Provide reporting and management information on infrastructure performance and operational KPIs.

· Document the environments and processes that support our products.

The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee.

Position Requirements

· Bachelor’s degree or equivalent professional experience required; Computer Science or Engineering preferred.

· Minimum 8 to 10 years of experience.

· 5+ years of experience with Microsoft Azure and/or Amazon Web Services. Azure/AWS associate or higher-level certification preferred.

· 5+ years building operational systems for custom software applications.

· Possess expert knowledge of subject matter including Kubernetes, Event Bus architecture, Infrastructure as Code, and automation. They require no assistance to complete tasks, provide leadership, coaching, and/or mentoring to a subordinate group and may act as a lead or first-level supervisor.

· Expert knowledge of containers/orchestration tools such as Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Services (EKS), etc.

· Expert in continuous integration and delivery services including: GitLab, GitHub Actions, etc.

· Expert in using Terraform and other Infrastructure-As-Code (IAC) tools.

· Proficiency with configuration management tools such as Chef, Packer, Puppet, etc.

· Mastery with monitoring tools such as New Relic, Azure Insights, AWS CloudWatch, etc.

· Expertise with PowerShell, Python, and YAML.

· Mastery of Kafka event bus.

· Achievement with developing in .Net or node.js is preferred.

· Expert Linux-based systems administration skills in a cloud environment.

· Mastery in managing IAM accounts and policies.

· Expertise with Rest and GraphQL.

At Truckstop we are dedicated to creating a workplace that is equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for a yearly bonus. Final salary is based on a number of factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity as well as business considerations.

The anticipated base pay range for this position is :

$130,000—$140,000 USD

The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee. 

Truckstop provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

Truckstop participates in the E-Verify program. Learn more about the E-Verify program here: https://www.e-verify.gov/

Truckstop Privacy Policy

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.

Next step

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Applying is free. After signing in, return to this job and select Apply Now.
Add alert
Jobs Talent AI Tools Salaries
Menu