Platform Engineer

Alter Domus • Chicago, ND

11d • $87,500 - $145,000 • Hybrid

About The Position

As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus (meaning “The Other House” in Latin) is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions. With a deep understanding of what it takes to succeed in alternatives, we believe in being different in what we do, how we work, and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take. You will own the physical infrastructure and delivery layer for a new commercial data platform serving institutional clients. This means cloud platform architecture, compute and storage provisioning, API and data delivery infrastructure, security and access controls, multi-tenancy design, and operational reliability. You are responsible for everything that makes the data accessible, secure, performant, and commercially deliverable — the bridge between internal data pipelines and external client consumption. You sit within the Technology organization but are fully dedicated to this initiative.

Requirements

• 6+ years in platform engineering, infrastructure engineering, or DevOps/SRE — ideally supporting external-facing data products
• 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
• Experience designing multi-tenant architectures with strict data isolation and per-client access control
• Proficiency in at least one systems programming or scripting language (Python, Go, or similar)
• Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, CloudWatch, or equivalent)
• Understanding of security best practices — RBAC/ABAC, encryption, secrets management, SOC 2 controls
• Experience with cloud data platforms (Snowflake, Databricks) from an infrastructure/provisioning perspective

Nice To Haves

• Experience building platforms that serve financial services clients (banks, asset managers, institutional investors)
• Familiarity with data delivery patterns — SFTP, Snowflake Data Sharing, streaming (Kafka/Kinesis), webhooks
• Experience with cost optimization for cloud infrastructure at scale
• 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

Responsibilities

• 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
• Security & Access Controls: Design and implement role-based (RBAC) and attribute-based (ABAC) access controls to ensure strict client data isolation. Clients accessing their own operational data must never see other clients' data; market-facing products must expose only anonymized/aggregated outputs. Implement encryption at rest and in transit, key management, and secrets handling
• 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)

Benefits

• Support for professional accreditations
• Flexible arrangements
• Generous holidays
• An additional day off for your birthday
• Continuous mentoring along your career progression
• Active sports, events and social committees across our offices
• 24/7 support available from our Employee Assistance Program
• The opportunity to invest in our growth and success through our Employee Share Plan
• Plus additional local benefits depending on your location

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed