Senior DevOps Engineer - Advertising Industry

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 a global digital-first creative and technology network that combines engineering, creativity, and innovation to help leading brands solve complex business challenges and transform their digital experiences. The organization works with Fortune 100 companies and high-growth businesses across multiple industries, delivering technology-driven solutions through distributed teams worldwide.

Job Summary

We are looking for a Senior DevOps Engineer to own and evolve the cloud infrastructure, tooling, and developer experience powering AI-native digital platforms. In this role, you will work across cloud architecture, Infrastructure as Code (IaC), CI/CD, security, and observability to build scalable, secure, and reliable environments that enable engineering teams to deliver software efficiently.

The ideal candidate has extensive hands-on experience with cloud platforms such as AWS, GCP, or Azure, strong expertise in Terraform, Docker, Kubernetes, and CI/CD automation, and a solid understanding of DevSecOps, cloud networking, and high-availability architectures. You will partner closely with cross-functional engineering teams to improve developer workflows, optimize infrastructure costs, and leverage AI-enabled tools and agentic workflows to accelerate engineering, automation, and operational processes.

Responsibilities

• 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.

• Implement DevSecOps practices throughout the development lifecycle, including security scanning, IAM, secrets management, and automated security controls.

• 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, canary releases, and feature flags.

• Support serverless architectures and cloud-native services to improve scalability and operational efficiency.

• Manage cloud networking, web infrastructure, CDNs, load balancers, and edge platforms.

• Drive cloud cost optimization and FinOps initiatives by identifying inefficiencies, right-sizing resources, and improving infrastructure utilization.

• Partner with engineering teams to improve developer experience, streamline workflows, and remove friction throughout the Software Development Lifecycle (SDLC).

• Develop automation scripts and internal tooling using Python, Bash, and Linux-based technologies.

• Maintain architecture documentation, operational runbooks, and post-mortems to support knowledge sharing and continuous improvement.

• Leverage AI-enabled development tools and workflows for infrastructure automation, debugging, and operational tasks.

• Orchestrate multi-step AI and agent-driven workflows, selecting appropriate models, tools, and execution patterns for different use cases.

• Review and harden AI-assisted outputs to ensure security, scalability, maintainability, reliability, and architectural alignment.

• Support prompts, evaluation frameworks, documentation, and operational context systems that improve engineering productivity.

• Contribute to automated evaluation and feedback loops for AI-enabled engineering workflows.

Qualifications and Job Requirements

• xtensive 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.

• Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns.

• Strong judgment when reviewing and hardening AI-assisted outputs, considering security, scalability, maintainability, reliability, and architectural fit.

• Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems that improve engineering velocity and reliability.

• Familiarity with automated evaluation and feedback loops for AI-enabled workflows.

• Strong communication skills, with the ability to explain complex technical concepts, collaborate across teams, and maintain clear technical documentation.

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.

• Experience in agency, consultancy, or enterprise SaaS environments .

• Background in AI/LLMOps, including agent orchestration, model selection, prompt engineering, and evaluation frameworks.

• AWS, GCP, or Azure certifications.

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.

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