Jr. DevOps Engineer

In ArgentinaRemoteFull-timeentry

EngineeringDevops Engineer

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Quick Summary

Overview

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances.

Technical Tools

argocdawsdatadogdockergithub-actionsgokubernetespythonterraformci-cdmachine-learningnetworking

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

Unlimited PTO

Medical benefit contributions in congruence with local laws and type of employment agreement

This is a foundational role within TrueML Products' Platform Operations team, designed for a high-energy technologist eager to rapidly advance their knowledge in a cloud-native environment. As a DevOps Engineer I, your critical goals will be to assist in the evolution of our internal developer platform and Infrastructure-as-Code (IaC) architecture, focusing on precision and efficiency.
The ideal candidate is a proactive learner who considers leveraging GenAI and AI code assistants second-nature for accelerating onboarding and completing well-defined tasks, but doesn’t rely on them as a substitute for solving problems.
You will not be focused solely on closing tickets, but rather on building self-service tools and platforms that reduce cognitive load for developers and increase deployment velocity.

Build small to medium-sized infrastructure components using Terraform and AWS.

Ensure reliable build-and-deploy cycles by maintaining and debugging CI/CD workflows, including GitHub Actions and ArgoCD.

Learn to troubleshoot and resolve issues in containerized environments, including Kubernetes pods and EKS networking bottlenecks.

Leverage GenAI and AI code assistants to accelerate your onboarding and complete well-defined automation tasks.

Validate AI-generated code for correctness and style according to team standards.

Contribute to system reliability by participating in the on-call rotation and swiftly responding to system alerts.

Utilize logging and observability tools (Datadog, Observe) to efficiently gather information during troubleshooting.

Own the quality of your work by testing and documenting your code, ensuring bug fixes are implemented reliably across all environments (dev, staging, production).

Engage actively in team ceremonies, including sprint planning and daily standups.

Clearly communicate project status and implementation details to the broader team.

Partner with senior engineers to understand and maximize the business and customer impact of your work.

You possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

You have 1–2 years of relevant experience in DevOps, SRE, or Software Engineering.

You are familiar with at least one programming language (Python, Go, or Bash) and basic Software Development Life Cycle (SDLC) practices.

You have general knowledge of cloud engineering (AWS) and containerization (Docker/Kubernetes).

You demonstrate a commitment to self-improvement and the "grit" necessary to follow through on challenging new tasks.