Hiring: Platform Engineer Company: Alter Domus Location: New York, United States Job Posted Time: 2026-09-17 12:38:29 Target Skills & Keywords : ABAC, AWS, Azure, CloudFormation, CloudWatch, Data Pipeline, Databricks, Datadog, Docker, Embedded Systems, Encryption, GCP, Grafana, JWT, Kafka, Kinesis, Kubernetes, OAuth2, Prometheus, Python, RBAC, REST, SOC 2, SaaS, Serverless, Snowflake, Terraform, Webhooks About the job Experience: •6+ years in platform engineering, infrastructure engineering, or DevOps/SRE — ideally supporting external-facing data products Required Skills: •The bridge between internal data pipelines and external client consumption. You sit within the Technology organization but are fully dedicated to this initiative. •Platform Architecture: Design and maintain the end-to-end technical infrastructure — compute layer, storage layer, orchestration services, caching, and networking. Ensure the platform supports multiple product streams with distinct performance profiles (real-time APIs, bulk data delivery, embedded analytics) •API & Delivery Infrastructure: Build and operate the data delivery layer for external clients — REST APIs for real-time position data, bulk file delivery (SFTP), cloud data sharing (e.g., Snowflake Data Sharing), and webhook-based event notifications. Own API versioning, rate limiting, SLA monitoring, and client onboarding •Multi-Tenancy & Isolation: Architect the platform to support thousands of external users across multiple client organizations, with logical (or physical) data isolation, per-tenant configuration, and audit logging •Reliability & Observability: Build monitoring, alerting, and incident response infrastructure. Define and maintain SLAs for uptime, latency, and data freshness. Implement health checks, circuit breakers, and graceful degradation patterns •Scalability: Ensure the platform scales from a small number of pilot clients to 2,000+ users without architectural rework. Design for horizontal scaling, auto-provisioning, and cost optimization •Compliance & Governance: Support SOC 2 compliance, data residency requirements, and security audit processes. Collaborate with Legal on data-use provisions and technical consent enforcement •Collaboration: Work with the Data Engineer (who builds pipelines that run on your platform), the Data Architect (who defines the logical model you physically instantiate), and the Quantitative Director (whose outputs you deliver to clients) Qualifications: •Expert knowledge of cloud platforms (AWS, Azure, or GCP) — infrastructure-as-code (Terraform, or CloudFormation), containerization (Docker, Kubernetes), and serverless patterns •Strong API engineering experience — building, operating, and scaling REST APIs for external commercial consumption. Experience with API gateways, OAuth2/JWT authentication, rate limiting, and versioning •Proficiency in at least one systems programming or scripting language (Python, Go, or similar) •Applied hands-on capability in observability stacks (Datadog, Prometheus/Grafana, CloudWatch, or equivalent) •Understanding of security best practices — RBAC/ABAC, encryption, secrets management, SOC 2 controls •Operational familiarity with data delivery patterns — SFTP, Snowflake Data Sharing, streaming (Kafka/Kinesis), webhooks •Understanding of data privacy architectures and how platform controls enforce anonymization/consent rules •Prior experience at a data vendor, SaaS company, or fintech where the platform is the product Compensation: •$87,500 - $145,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!