Lead Platform Engineer - Cloud Infrastructure for AI Solutions

About the Role

Buynomics is seeking a Lead Platform Engineer to join our innovative team. This Lead Platform Engineer remote role focuses on designing and building a modular, service-oriented platform that empowers advanced commercial decision-making for enterprise customers. You will play a crucial role in our mission to enable transparent, customer-centric commercial decisions.

What You'll Do

• Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support).
• Build and maintain reusable Infrastructure-as-Code modules using Terraform.
• Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies.
• Implement GitOps-based CI/CD and automated environment provisioning.
• Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines).
• Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles).
• Establish observability standards (structured logging, metrics, distributed tracing, alerting).
• Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization.
• Collaborate with engineering teams to define clean service deployment contracts.
• Define platform standards, architectural decision records, and operational runbooks.
• Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails.
• Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit.

Requirements

• 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles.
• Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking).
• Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus).
• Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy).
• Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration.
• Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations).
• Experience designing CI/CD and GitOps workflows.
• Experience operating distributed systems in production.

Nice to Have

• Familiarity with AI/ML workloads and their deployment.
• Experience with monitoring and observability tools.
• Knowledge of security best practices in cloud environments.

What We Offer

• Competitive salary ranging from $140,000 to $180,000 per year.
• Remote work flexibility with a focus on work-life balance.
• Opportunity to work with cutting-edge AI technologies.
• Real autonomy in architectural decisions and platform roadmap.
• Growth opportunities as enterprise deployments scale.
• Collaborative and innovative team culture.
• Access to professional development resources.