Platform Architect

Serverfarm

. Build the foundation of the new InCommand platform, including the control plane and tenancy, and own the first code merged .

Posted 10/27/2026full-timeRemote • Texas • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building multi-tenant SaaS platforms and control planes, with a strong focus on data model design, API development, and performance optimization at telemetry scale. Proven ability to provide technical direction and collaborate with cross-functional teams to deliver scalable and efficient cloud services.

Highest-signal resume keywords

Multi-Tenant SaaS Platform DevelopmentData Model Design and EvolutionAPI Development and SpecificationCloud Platform Experience (GCP, AWS, Azure)Kubernetes and Helm Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Back-End DevelopmentData Retrieval Performance OptimizationTime-Series and Relational StoragePostgreSQL with TimescaleDBClickHouse for Analytical WorkloadsArchitectural Decision WritingIdentity and Security DesignAgent-Assisted EngineeringLarge Language Model IntegrationAPI Latency Target Achievement

Soft Skills

Technical Decision-MakingCollaboration with Product ManagementMentoring EngineersJudgment in Service Management

Tools & Technologies

KubernetesHelmGCPAWSAzureKafka-Compatible StreamingMQTT BrokersOpenTelemetry

Industry Keywords

SaaSTelemetry ScaleOperational IntelligenceData Model SpecificationDCIM Products

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKafkaKubernetesPostgres

About the role

Key responsibilities & impact

Build the foundation of the new InCommand platform, including the control plane and tenancy, and own the first code merged
Design and own the unified data model and its evolution
Publish the data model with the public API as a specification for other teams
Define platform architecture covering data stores, identity, multi-tenancy, and API layer
Own retrieval and query performance at telemetry scale for live consoles, analytical workloads, and AI workloads
Define storage choices, query patterns, latency targets, and tenant isolation at the data layer
Choose the technology stack and platform standards
Recommend the initial cloud and portability approach
Design integration of large language models and other AI services for operational intelligence, recommendations, insights, and natural-language data access
Define the site-data ingress contract in partnership with Integrations
Provide technical direction to engineers joining the new platform
Set the engineering patterns used by the team
Partner closely with Product Management, Integrations, and Developer Platform
Develop an API-first cloud service deployable in customer environments using agent-assisted engineering under human review

Requirements

What you’ll need

10+ years building back-end and platform systems
In the last three years, personally shipped a multi-tenant SaaS platform or control plane on Kubernetes, writing production code as the technical decision-maker
Designed the domain data model for a complex operational system, including assets, hierarchies, time series, and events
Owned data-model evolution across releases, including compatibility, versioning, and migration decisions
Delivered retrieval performance at telemetry scale
Experience with time-series and relational storage, including PostgreSQL with TimescaleDB or equivalent, and a columnar engine such as ClickHouse for analytical and AI workloads
Designed queries for live and analytical workloads over long histories and met API latency targets
Hands-on experience with GCP, AWS, or Azure, Kubernetes, and Helm
Judgment about when managed services are appropriate versus when portability matters
Built identity, tenancy, and security by design into enterprise SaaS
Designed and published an API or data-model specification used by other teams and ideally external organisations
Written architecture decisions that engineers worked from
Senior individual-contributor experience on foundational platform production code
Preferred: experience with agentic coding tools and reviewing agent-written code at volume
Preferred: knowledge of or experience with DCIM products
Preferred: Kafka-compatible streaming and MQTT brokers
Preferred: OpenTelemetry instrumentation
Preferred: integrating large language models into a platform
Preferred: running platforms across public clouds or shipping cloud and customer-hosted/air-gapped software

Benefits

Comp & perks

Paid time off
Paid holidays
401(k)
Full medical coverage
Full dental coverage
Full vision coverage
Bonus
Benefits package
Opportunities to develop cutting-edge skills
Career growth opportunities
Sustainable data center innovation work