Senior DevOps Engineer - Advertising Industry

Truelogic; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Paid time off

100% remote work

Competitive USD salary

Job summary

Truelogic is seeking a Senior DevOps Engineer to own and evolve cloud infrastructure, tooling, and developer experience for AI-native platforms serving Fortune 100 clients. You will work across cloud architecture, IaC, CI/CD, security, and observability.

You will design scalable infrastructure across AWS, GCP, and Azure; implement Terraform IaC, Docker and Kubernetes, and robust CI/CD pipelines with GitHub Actions or Jenkins.

Qualifications

• Extensive hands-on experience provisioning, managing, and maintaining cloud infra.
• Strong IaC experience, especially Terraform.
• Experience building and maintaining CI/CD pipelines.
• Hands-on Docker and Kubernetes in production.
• Experience designing highly available, scalable cloud architectures.
• Solid cloud networking and deployment strategy knowledge.
• DevSecOps practices incl. cloud security, IAM, secrets management.
• Observability tooling for monitoring, logging, and tracing.
• Python and Bash scripting with Linux administration.”
• Experience with cloud cost optimization and FinOps.

Responsibilities

• Design, provision, and maintain scalable cloud infrastructure across AWS, GCP, and/or Azure.
• Build, maintain, and optimize CI/CD pipelines to enable fast, secure software delivery.
• Lead Infrastructure as Code practices using Terraform and other IaC tools.
• Manage containerized environments using Docker and Kubernetes.
• Own observability across infrastructure and applications.
• Design deployment strategies such as blue/green and canary releases.
• Drive cloud cost optimization and FinOps initiatives.
• Develop automation scripts and tooling using Python, Bash.
• Leverage AI-enabled development tools for automation and debugging.
• Collaborate with engineering teams to improve developer experience.

Skills

Cloud infra design

CI/CD pipelines

DevSecOps

Observability

Python scripting

Bash scripting

Linux administration

Cost optimization

Git workflows

Networking in cloud

Tools

Terraform

Docker

Kubernetes

GitHub Actions

Jenkins

Bitbucket Pipelines

AWS

GCP

Azure

Job description

Truelogic is a nearshore staff augmentation firm connecting Latin American technology professionals with U.S. companies. This role is a Senior DevOps Engineer for a global digital-first creative and technology network serving Fortune 100 companies. You will own and evolve cloud infrastructure, tooling, and developer experience for AI-native digital platforms, working across cloud architecture, Infrastructure as Code, CI/CD, security, and observability.

What You'll Do

• Design, provision, and maintain scalable cloud infrastructure across AWS, GCP, and/or Azure, ensuring high availability, reliability, and operational excellence
• Build, maintain, and optimize CI/CD pipelines to enable fast, secure, and reliable software delivery from development through production
• Lead Infrastructure as Code practices using Terraform and other IaC tools to create reproducible, consistent, and auditable environments
• Manage containerized environments using Docker and Kubernetes, and implement DevSecOps practices throughout the development lifecycle
• Own observability across infrastructure and applications, including monitoring, logging, alerting, tracing, and incident troubleshooting
• Design and maintain highly available and fault‑tolerant architectures, implementing deployment strategies such as blue‑green deployments and canary releases
• Drive cloud cost optimization and FinOps initiatives by identifying inefficiencies and right‑sizing resources
• Develop automation scripts and internal tooling using Python, Bash, and Linux‑based technologies
• Leverage AI‑enabled development tools and workflows for infrastructure automation, debugging, and operational tasks
• Partner with engineering teams to improve developer experience and streamline workflows throughout the Software Development Lifecycle

What You Need

• Extensive hands‑on experience provisioning, managing, and maintaining cloud infrastructure using AWS, GCP, or Azure
• Strong proficiency with Infrastructure as Code, particularly Terraform
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, Bitbucket Pipelines, or equivalent tools
• Strong hands‑on experience with Docker and Kubernetes in production environments
• Experience designing and managing high‑availability, scalable, and fault‑tolerant cloud architectures
• Strong understanding of cloud networking, deployment strategies, and web application infrastructure
• Experience implementing DevSecOps practices, including cloud security, IAM, secrets management, and automated security scanning
• Experience with observability practices and tools for monitoring, logging, alerting, and troubleshooting
• Proficiency in Python and Bash scripting, along with solid Linux administration skills
• Experience with cloud cost optimization and infrastructure efficiency practices
• Strong understanding of Git and managed development platforms such as GitHub, Bitbucket, or Azure DevOps
• Practical experience using AI‑enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks

Nice to Have

• Hands‑on experience across multiple cloud providers, particularly AWS, GCP, and Azure
• Additional IaC experience with AWS CloudFormation or Ansible
• Experience with serverless technologies such as AWS Lambda, GCP Cloud Functions, or Azure Functions
• Familiarity with edge platforms and CDNs such as Fastly or AWS CloudFront
• Experience with developer platforms such as Vercel, Netlify, or WP Engine
• Familiarity with DevSecOps and observability tools such as Snyk, SonarQube, HashiCorp Vault, Datadog, New Relic, or AWS CloudWatch
• Experience configuring NGINX, Traefik, and load balancers
• Advanced cloud cost optimization and FinOps experience
• Background in AI/LLMOps, including agent orchestration, model selection, prompt engineering, and evaluation frameworks
• AWS, GCP, or Azure certifications

Highly competitive USD pay, market‑leading compensation; 100% remote work; paid time off; work with autonomy