Degree in Computer Science or a related engineering field and proven ability to debug complex distributed systems
Strong grasp of AWS services and networking fundamentals (DNS, HTTP, VPCs)
Hands-on experience managing Kubernetes and using Helm
Proficient in Python, Go, or TypeScript and prefer building automated tools
Requirements:
Design and manage scalable, resilient cloud-native systems on AWS
Own Infrastructure as Code strategy using Terraform to ensure repeatable, versioned, and stable environments
Build and optimize CI/CD pipelines using GitHub Actions, ArgoCD, and Helm to deliver code from commit to production
Deploy and operate Kubernetes clusters, ensuring containerized services are healthy, scalable, and easy to manage
Job description
About This Role:
TrueML is currently undergoing a major platform rearchitecture, moving toward a fully cloud-native, modernized infrastructure. As a DevOps Engineer, you will be a key driver of this evolution. Your mission is to eliminate friction in the Software Development Lifecycle (SDLC), empowering our engineering teams with automated workflows, scalable AWS environments, and high-visibility monitoring. You aren't just managing infrastructure; you are building the foundation that allows our business to scale and innovate.
What You'll Do:
Improve System Architecture: Lead our push toward a modern, cloud-native organization by designing and managing scalable, resilient systems on AWS.
Code Your Infrastructure: Own our Infrastructure as Code (IaC) strategy using Terraform, ensuring our environments are repeatable, versioned, and stable.
Modernize CI/CD: Build and optimize high-velocity deployment pipelines using GitHub Actions, ArgoCD, and Helm to get code from "commit" to "production" seamlessly.
Master Orchestration: Deploy and operate Kubernetes clusters, ensuring our containerized services are healthy, scalable, and easy to manage.
Build Internal Tools: Act as a "force multiplier" for our developers by creating custom CLI tools, scripts (Python/Go), and frameworks that automate routine tasks.
Drive Data-Driven Decisions: Enhance system visibility into performance and operational costs, giving engineers the data they need to make smart, impactful choices.
Own Reliability: Perform deep-dive root cause analysis on complex system issues and implement long-term fixes that improve overall platform stability.
What You'll Do (Qualifications):
A Technical Problem Solver: You hold a degree in Computer Science or a related engineering field and have a proven ability to debug complex, distributed systems.
Cloud-Fluent: You have a strong grasp of AWS services and networking fundamentals (DNS, HTTP, VPCs) and understand how to design for the cloud.
Container-Savvy: You have hands-on experience managing Kubernetes and are comfortable using Helm to manage complex configurations.
A Developer at Heart: You are proficient in Python, Go, or TypeScript and prefer building an automated tool over performing a manual task twice.
Security-Minded: You don’t treat security as an afterthought; you design with a "security-first" mindset, integrating best practices into every layer of the stack.
A Collaborative Communicator: You enjoy working cross-functionally and can translate complex infrastructure needs into clear documentation and guidance for development teams.
