Cloud Infrastructure Engineer I - QuantumBlack

Overview

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
  
  

As a highly collaborative engineer, you enjoy solving complex infrastructure and security problems that directly enable business and product teams.

You have a strong sense of ownership and are comfortable with hands-on technical work across cloud, platform, and security domains. You will work at the intersection of platform engineering, DevOps, security, and MLOps, collaborating with Machine Learning Engineers (MLEs), Data Engineers (DEs), Data Scientists (DS), Product Managers, and InfoSec teams to build and operate secure, scalable, and production-grade cloud environments and reusable infrastructure assets.

You will be responsible for designing and maintaining secure multi-account cloud environments that power data platforms, ML workloads, and product applications.

Your responsibilities will include building and managing multi-account AWS environments (Dev, Staging, Prod) following security and governance best practices; provisioning and managing infrastructure using Terraform (Infrastructure as Code); deploying, operating, and scaling Kubernetes (EKS) clusters for data and ML workloads; implementing autoscaling and cost optimization using tools such as Karpenter; designing and maintaining CI/CD pipelines using GitHub Actions and similar tools; implementing GitOps practices using ArgoCD; orchestrating ML/data workflows using Argo Workflows; working closely with InfoSec engineers to monitor, prioritize, and remediate vulnerabilities across cloud, containers, and pipelines; integrating security practices into CI/CD (container scanning, IaC scanning, dependency scanning); managing IAM, networking, secrets, encryption, and cloud security baselines; implementing logging, monitoring, and alerting for infrastructure and platform reliability; supporting ML and data teams with scalable environments for model training, pipelines, and batch workloads; and driving automation to improve reliability and reduce operational overhead.

What you’ll learn includes how secure, scalable cloud platforms are designed to support ML and data products in production; best practices in DevSecOps, cloud governance, and Kubernetes platform engineering; how MLOps, CI/CD, and GitOps practices come together to enable rapid but safe delivery; operating production systems across multiple AWS accounts with strong security controls; and working cross-functionally with product, data, and security stakeholders in a fast-paced environment.

You will work on the platforms, frameworks, and automation tooling that Data Scientists, Data Engineers, and ML Engineers rely on to move from experimentation to reliable production impact.

Your real-world impact includes fusing platform, security, and scale as you work with modern cloud-native technologies and security-first engineering practices; multidisciplinary teamwork as you collaborate with ML, data, product, and security experts; contributing to an innovative engineering culture with a strong focus on automation, reliability, and continuous improvement; and striving for excellence as you build infrastructure that directly enables high-impact data and ML products.

Your Qualifications and Skills

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 4+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles
• Strong hands-on experience with AWS Cloud (IAM, VPC, EC2, EKS, S3, RDS, etc.)
• Production experience with Kubernetes
• Strong experience with Terraform for infrastructure provisioning
• Experience building CI/CD pipelines using GitHub Actions or similar tools
• Experience with ArgoCD (GitOps) and Argo Workflows
• Familiarity with Karpenter or Kubernetes autoscaling tools
• Strong understanding of cloud and container security best practices
• Experience managing multi-account AWS environments (Dev/Prod separation)Scripting skills (Bash, Python, or similar)
• Experience supporting ML/MLOps or data platforms, experience with policy-as-code tools (OPA, Kyverno) (preferred, not required)
• Knowledge of container security and runtime security & AWS cost optimization experience (preferred, not required)