Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Senior/Lead GCP DevOps Engineer (ML/AI)
You'll join a cloud engineering team responsible for designing and operating GCP infrastructure and AI-powered workloads for high-profile, security-conscious clients.
Our client delivers secure, large-scale cloud and AI infrastructure for the enterprise and banking sectors, helping them modernize legacy systems and safely adopt AI/ML technologies.
This is a US-based role (New York City, Jersey City, Lake Mary, FL, or Pittsburgh) with an anticipated base salary range of $144,000–$168,000 annually.
Responsibilities
- Design, deploy, and maintain GCP infrastructure, including secure Landing Zones (VPC, IAM, VPC Service Controls, Cloud KMS)
- Lead deployment and operations of AI/ML infrastructure, including GPU-accelerated workloads and LLM inference platforms (NVIDIA NIM, Vertex AI)
- Build and maintain CI/CD pipelines and infrastructure-as-code (Terraform, Jenkins/GitLab)
- Implement cost optimization strategies across production and non-production environments
- Ensure compliance and security best practices for handling sensitive data in regulated industries
- Mentor engineers and act as a technical point of contact for client engagements
Requirements
- 5+ years of experience in DevOps/Cloud Engineering, with a strong focus on Google Cloud Platform
- Proven experience with Kubernetes, Docker, and container orchestration at scale
- Strong scripting/automation skills (Python, Bash, Terraform)
- Experience with IAM, network security, and compliance frameworks in regulated industries (banking/finance preferred)
- Familiarity with AI/ML infrastructure and LLM deployment tooling is a strong plus
- GCP Professional certifications (Cloud Architect, Cloud Engineer, Network Engineer) are a plus
We Offer
- Flexible work model: Work from home, from the office, or in a hybrid format that supports focus and collaboration.
- Compensation & Benefits: Competitive, market-based pay, benchmarked by role and location - plus health coverage, paid time off, wellness support, and learning opportunities.
- People-first Leadership: Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
- Advanced tech communities: Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.
About the Company
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Cloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
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