Platform Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Establish the core framework of the new InCommand platform, encompassing the control plane and tenancy, and take ownership of the initial code merge.

• Design and manage the unified data model and oversee its progression.

• Publish the data model as a specification for other teams via the public API.

• Define the platform architecture, which includes data stores, identity, multi-tenancy, and API layers.

• Maintain retrieval and query performance at telemetry scale for live consoles, analytical workloads, and AI operations.

• Specify storage options, query patterns, latency objectives, and tenant isolation at the data layer.

• Select the technology stack and establish platform standards.

• Advise on the initial cloud strategy and portability considerations.

• Design the integration of large language models and other AI services for operational intelligence, recommendations, insights, and access to natural-language data.

• Define the site-data ingress agreement in collaboration with Integrations.

• Offer technical guidance to engineers joining the new platform.

• Set the engineering practices adopted by the team.

• Collaborate closely with Product Management, Integrations, and the Developer Platform.

• Develop an API-first cloud service that can be deployed in customer environments using agent-assisted engineering under human oversight.

⛳️ Requirements

• Over 10 years of experience in building back-end and platform systems.

• In the past three years, successfully delivered a multi-tenant SaaS platform or control plane on Kubernetes, while serving as the technical decision-maker writing production code.

• Designed the domain data model for a complex operational system, incorporating assets, hierarchies, time series, and events.

• Oversaw data model evolution across releases, including decisions on compatibility, versioning, and migration.

• Achieved retrieval performance at telemetry scale.

• Proficient in time-series and relational storage solutions, including PostgreSQL with TimescaleDB or similar, and a columnar engine like ClickHouse for analytical and AI workloads.

• Designed queries for both live and analytical workloads over extended historical datasets, meeting API latency requirements.

• Hands-on experience with GCP, AWS, or Azure, Kubernetes, and Helm.

• Ability to discern when managed services are suitable versus when portability is crucial.

• Integrated identity, tenancy, and security by design into enterprise SaaS solutions.

• Created and published an API or data-model specification utilized by other teams and ideally by external organizations.

• Documented architectural decisions for engineers to reference.

• Senior individual contributor experience on foundational platform production code.

• Preferred: familiarity with agentic coding tools and reviewing agent-generated code at scale.

• Preferred: knowledge of or experience with DCIM products.

• Preferred: experience with Kafka-compatible streaming and MQTT brokers.

• Preferred: OpenTelemetry instrumentation experience.

• Preferred: experience integrating large language models into a platform.

• Preferred: managing platforms across public clouds or delivering cloud and customer-hosted/air-gapped software.

🏝️ Benefits

• Paid time off.

• Paid holidays.

• 401(k) plan.

• Comprehensive medical coverage.

• Comprehensive dental coverage.

• Comprehensive vision coverage.

• Bonus opportunities.

• Comprehensive benefits package.

• Opportunities to acquire cutting-edge skills.

• Career advancement opportunities.

• Sustainable data center innovation projects.