About the Role
This is a high-ownership, hands-on Senior DevOps Engineer position at a fast-growing, AI-native B2B SaaS company in the consumer intelligence space — think competitors to Meltwater, NielsenIQ, and Qualtrics. You'll own the cloud infrastructure that enterprise-scale customers rely on for critical data and decision-making. Working closely with backend and ML engineers, you'll be the person who makes GitOps, infrastructure as code, and true production reliability a reality for the entire engineering organization.
The team is small (under 50 people) and technically ambitious, with engineers from backgrounds including Microsoft, IBM, and other high-caliber technology organizations. You'll have a direct, outsized impact on how the platform is built and scaled.
What You'll Do
Architect and build secure, scalable cloud infrastructure using IaC (Terraform/Terragrunt) on AWS
Design and maintain robust CI/CD pipelines; convert manual processes into automated, repeatable workflows
Own production reliability — set up observability stacks, define SLI/SLOs, and lead incident response
Implement and champion GitOps workflows for all infrastructure deployments
Build compliance-ready infrastructure (SOC 2, GDPR) with IAM best practices and secrets management
Optimize cloud costs while maintaining performance and reliability at scale
Create developer tooling and documentation that accelerates engineering workflows across the team
Mentor team members on DevOps best practices and guide infrastructure strategy
What We're Looking For
Required
5+ years in a senior DevOps or Infrastructure Engineering role with end-to-end infrastructure ownership
Deep expertise with Kubernetes — EKS experience strongly preferred
Broad experience across multiple infrastructure domains: networking, security, monitoring, IaC — not just CI/CD
Proven track record building and managing AWS infrastructure at scale
Experience designing and maintaining CI/CD pipelines
Recent, active hands-on work in an infrastructure engineering role
Nice to Have
Deep hands-on expertise with Terraform and Terragrunt
Experience building and managing infrastructure for B2B SaaS products
Familiarity with Docker, Python, Bash scripting, and Jenkins
Background supporting AI/ML workloads or data-intensive platforms
Please note: Visa sponsorship is not available for this role. Candidates must be authorized to work in the United States.
Compensation & Benefits
Salary: $160,000 – $200,000 USD annually, depending on experience
Equity participation in an early-stage, venture-backed company
Opportunity to shape the infrastructure of a rapidly scaling AI platform from the ground up
Location
This is an on-site role based in New York, NY. Candidates should be local to or willing to relocate to the New York City area.
Originally posted on