DevOps Engineer I

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

TrueML Products is looking for a high-energy DevOps Engineer I to join our Platform Operations team. This is a foundational role designed for a technologist who is actively forming their technical knowledge and is eager to embrace a broad set of challenges in a cloud-native environment. Reporting to the DevOps Sr Manager, you will assist in the evolution of our internal developer platform and Infrastructure-as-Code (IaC) architecture. You will focus on achieving proficiency in our tech stack while executing tasks with 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. At TrueML, you won't just be closing tickets; you will be helping to build self-service platforms and tools that reduce developer cognitive load and enable our teams to deploy at increased velocity. You will be an integral part of a team that thrives on solving complex distributed systems challenges and maintains an impact-focused mindset.

Build small to medium-sized infrastructure components using Terraform and AWS. Maintain and debug CI/CD workflows (GitHub Actions, ArgoCD) to ensure reliable build-and-deploy cycles. Learn to troubleshoot and resolve issues in containerized environments, including Kubernetes pods and EKS networking bottlenecks. Use AI code assistants (e.g. GitHub Copilot, Claude) to accelerate onboarding and complete well-defined automation tasks. Validate AI-generated code for correctness and style according to team standards. Participate in the on-call rotation and assist in responding to system alerts. Use logging and observability tools to find relevant information during troubleshooting. Take responsibility for testing and documenting your code, ensuring bugs are fixed across dev, staging, and production environments. Actively participate in team ceremonies, including sprint planning and daily standups. Communicate the status of ongoing projects and clearly describe implementation details to the broader team. Partner with senior engineers to understand how your work impacts customers and helps the business scale.

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.

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