Mid-Level DevOps Engineer - Global Strategy Consultancy (LATAM)
- Level
- Mid
- Work type
- Remote · LATAM
Not stated in the posting: salary, visa.
Open. First seen 26 October 2026.
About the role
Truelogic's standard text
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 insights and strategy consultancy operating at the intersection of content, culture, and technology. The company partners with leading organizations across entertainment, technology, lifestyle, sports, and gaming, delivering research, data-driven insights, and strategic guidance to help businesses understand audiences, navigate market trends, and make informed decisions. As part of a global marketing and communications group, the company operates internationally, with offices in major cities including Los Angeles, San Francisco, New York, London, and Singapore.
Job Summary
We are seeking a DevOps Engineer to join our client's core infrastructure and full-stack platform engineering team, helping build, maintain, and improve the cloud platform that powers its data and software products. The role focuses on managing Google Cloud Platform (GCP) infrastructure using Terraform, enhancing CI/CD pipelines with GitHub Actions and secure OIDC authentication, and ensuring reliable, secure, and repeatable deployment workflows. The ideal candidate will be comfortable troubleshooting infrastructure and pipeline issues independently, identifying root causes, improving operational processes, and documenting technical solutions.
Working closely with senior engineers, the engineer will gradually take ownership of production release support while developing the technical expertise and autonomy needed to grow into senior-level responsibilities.
Responsibilities
- Build, maintain, and improve cloud infrastructure using Terraform across multiple environments and projects.
- Develop, maintain, and optimize CI/CD pipelines, primarily using GitHub Actions and OIDC-based keyless cloud authentication.
- Troubleshoot infrastructure, deployment, and pipeline issues, identify root causes, and implement or document effective solutions.
- Support DevOps incidents, operational requests, and production releases as responsibilities expand after onboarding.
- Create and maintain technical documentation, runbooks, handoff notes, and design documents.
- Review infrastructure changes proposed by other engineers and identify potential risks or areas for improvement.
- Identify weaknesses in existing systems and operational processes and recommend practical, evidence-based improvements.
- Collaborate with infrastructure and full-stack platform engineers to ensure reliable, secure, and repeatable deployment workflows.
- Use logs, tests, metrics, and other technical evidence to investigate issues and guide decisions.
- Leverage AI-assisted tools to improve planning, code reviews, troubleshooting, and technical documentation.
- Gradually take greater ownership of infrastructure improvements, production support, and technical decision-making.
Qualifications and Job Requirements
- 4–6 years of experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on experience with Terraform and Infrastructure as Code (IaC).
- Experience building, maintaining, and troubleshooting CI/CD pipelines, preferably using GitHub Actions.
- Experience working with at least one major cloud provider, with Google Cloud Platform (GCP) strongly preferred.
- Working knowledge of Kubernetes and containerized deployment workflows.
- Understanding of networking fundamentals, including VPCs, DNS, and firewalls.
- Knowledge of Identity and Access Management (IAM), secrets management, and secure cloud authentication practices.
- Scripting experience with Python or Bash.
- Strong troubleshooting, problem-solving, and root-cause analysis skills.
- Ability to investigate technical issues independently, communicate blockers clearly, and document findings and solutions.
- Good written English and sufficient spoken English to collaborate effectively with a US-based team.
- Availability to work standard US-timezone business hours.
Preferred Qualifications
- Hands-on experience with GCP and Google Kubernetes Engine (GKE).
- Experience implementing GitHub Actions workflows and OIDC-based keyless authentication.
- Experience supporting production releases, responding to DevOps incidents, and resolving operational issues.
- Experience reviewing infrastructure changes and documenting technical decisions, runbooks, and handoffs.
- Ability to work independently in ambiguous situations, assess risks, and propose evidence-based improvements.
- Familiarity with GCP services such as Cloud SQL, Cloud DNS, Cloud Monitoring and Logging, and Secret Manager.
- Familiarity with Redis and cloud-based data infrastructure.
Nice-to-Have Qualifications
- Experience supporting data and analytics platforms, including Snowflake and dbt.
- Experience supporting generative AI products or AI-powered software platforms.
- Familiarity with AI-assisted development tools for planning, code reviews, troubleshooting, and documentation.
- Demonstrated ability and motivation to grow toward senior-level ownership, infrastructure architecture, and technical decision-making.
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.
Truelogic's standard text
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!
What this role asks for
Particular to this role
Bash · Generative AI · GitHub · IAM · OAuth · Redis · Snowflake · dbt
Rare in Truelogic's other 100 open postings.
Standard for DevOps / SRE / cloud roles
CI/CD · GCP · Kubernetes · Python · Terraform
Common in DevOps / SRE / cloud postings at any company.
77% of this description is written for the role. The rest is Truelogic's standard text, folded away below.
Compared with Truelogic's other open jobs.
The team: Delivery HIRES STEADILY
This role is one of 94 open in Delivery. 74 were posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (41 of 94), Test Automation (34 of 94), LLM (30 of 94), SQL (25 of 94), CI/CD (23 of 94), GCP (22 of 94), GraphQL (20 of 94)
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