
51 - 200 employees
Founded 1999
đ˘ Enterprise
đĄ Telecommunications
âď¸ SaaS
đ° Debt Financing on 2021-10
Enterprise ⢠Telecommunications ⢠SaaS
Serverfarm is a global leader in Data Center Management as a Service (DMaaS), providing colocation, data center design, and IT infrastructure management solutions. For over 25 years, Serverfarm has maximized operational efficiencies and managed critical IT environments for top enterprises worldwide. With a modern and award-winning portfolio of data centers, they offer flexible and sustainable solutions that enhance performance and reduce carbon emissions. Serverfarm's expert team and sophisticated InCommand DMaaS platform provide robust management of data centers, helping enterprises focus on innovation while optimizing their IT infrastructure.
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51 - 200 employees
Founded 1999
đ˘ Enterprise
đĄ Telecommunications
âď¸ SaaS
đ° Debt Financing on 2021-10
Enterprise ⢠Telecommunications ⢠SaaS
Serverfarm is a global leader in Data Center Management as a Service (DMaaS), providing colocation, data center design, and IT infrastructure management solutions. For over 25 years, Serverfarm has maximized operational efficiencies and managed critical IT environments for top enterprises worldwide. With a modern and award-winning portfolio of data centers, they offer flexible and sustainable solutions that enhance performance and reduce carbon emissions. Serverfarm's expert team and sophisticated InCommand DMaaS platform provide robust management of data centers, helping enterprises focus on innovation while optimizing their IT infrastructure.
⢠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
⢠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
⢠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
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