TrueML
Senior DevOps Engineer (hiring in US & LATAM)
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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.
Hiring in either/both US & LATAM!
- Salary Ranges for this role in Mexico & Argentina typically range between: $60,000 - $75,000 (USD)
- Salary Ranges for this role in the US & Canada typically range between: $125,000 - $175,000 [as determined by both competency & geography]
TrueML San Francisco, California, USA Office
San Francisco, CA, United States, 94105
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
