SurrealDB

Cloud-native, multi-model database platform

Forward Deployed Engineer - Platform

Implementation & Technical Account ManagementUpdated on Nov 14

Full-timeNo salary listed

About the Job

Requirements

Hands-on experience deploying or integrating at least one agent memory tool, such as Mem0, Graphiti/Zep, Letta, LangMem or Cognee; a personal or open-source project counts.
Proven experience running services on at least one major cloud: AWS, Azure or GCP.
Strong technical background in containers, Kubernetes and infrastructure as code using Terraform, OpenTofu or Pulumi.
Experience in database work beyond basic CRUD, including data modelling, indexes, query plans and migrations.
Working knowledge of at least one of Python, TypeScript, Go or Rust.
Ability to work hours that overlap with the customer, often US Eastern Time, and to complete a customer background check.
Must live in the UK or US with existing right to work there; visas are not sponsored.

Responsibilities

Own the platform side of a customer build, including environments, data, integration and non-functional requirements needed for go-live.
Design and stand up SurrealDB and Agent Memory environments on the customer's cloud or SurrealDB Cloud, including topology, networking, identity, secrets and access.
Model data in SurrealQL across documents, graph relations and vectors, and tune queries and indexes.
Lead CI/CD and infrastructure as code for customer environments.
Build ingestion and migration pipelines from existing stores such as Cosmos DB, Postgres, MongoDB, vector databases or search services.
Handle observability, backups, upgrades, security reviews and performance testing, including agent memory services and dependencies.
Document progress and risks in weekly status reports, and create runbooks and reference infrastructure for future engagements.
Contribute to customer architecture and security questionnaires with the SurrealDB team.
Pair with an Agentic Systems Engineer; typically act as technical lead for the pair.
Work inside enterprise customers' engineering teams to deploy, integrate and run SurrealDB and SurrealDB Agent Memory in production.

Desired Qualifications

Familiarity with SurrealDB, Azure (AKS, Entra ID, Key Vault), observability stacks or regulated environments.
Community contributors and SurrealDB Ambassadors are encouraged to apply.

SurrealDB is on the lookout for platform engineers to join our bench of Forward Deployed Engineers, working inside enterprise customers’ engineering teams to deploy, integrate and run SurrealDB and SurrealDB Agent Memory in production. Few people have years of SurrealDB or agent memory experience, so we care more about solid engineering habits and how fast you learn than years on a CV. We train and certify every Forward Deployed Engineer before they go to a customer.

In this role, you will own the platform side of a customer build: environments, data, integration and the non-functional requirements that decide whether a system can go live. You will pair with an Agentic Systems Engineer who owns the agent and memory design, and on most engagements you will be the technical lead for the pair. You will report to a SurrealDB engineering manager, who assigns your work, sets technical direction and supports your progress, while an engagement manager handles delivery updates to the customer.

About this engagement

Contract role, starting in early 2027 and running for around three months, full time
Open to applicants based in the UK or the US
Working US Eastern hours, including for UK-based consultants
You will work on customer-provided equipment and complete a background check before starting
Occasional on-site travel may be required
Our client will make the final selection. If you are not selected for this particular engagement, we will consider you for our bench of approved contractors for future opportunities

Ownership for designing and standing up SurrealDB and Agent Memory environments on the customer's cloud or on SurrealDB Cloud: topology, networking, identity, secrets and access
Responsible for data modelling in SurrealQL across documents, graph relations and vectors, and for query and index tuning
Leading on CI/CD and infrastructure as code (Terraform or OpenTofu) for customer environments
Building ingestion and migration pipelines from existing stores such as Cosmos DB, Postgres, MongoDB, vector databases or search services
Responsible for observability, backup, upgrades, security reviews and performance testing, including agent memory services and their dependencies
Documenting progress and risks for the weekly status report, plus runbooks and reference infrastructure for future engagements
Contributing to customer architecture and security questionnaires with the SurrealDB team

Hands-on experience of deploying or integrating at least one agent memory tool, such as Mem0, Graphiti/Zep, Letta, LangMem or Cognee (a personal or open-source project counts)

Proven experience of running services on at least one major cloud: AWS, Azure or GCP
Strong technical background in containers, Kubernetes and infrastructure as code (Terraform, OpenTofu or Pulumi)
Experience in database work beyond basic CRUD: data modelling, indexes, query plans and migrations
Working knowledge of at least one of Python, TypeScript, Go or Rust
Ability to explain technical decisions clearly to customer engineers, architects and security teams
Ability to work hours that overlap with the customer, often US Eastern Time, and to complete a customer background check
Living in the UK or US with existing right to work there; we do not sponsor visas
Familiarity with SurrealDB, Azure (AKS, Entra ID, Key Vault), observability stacks or regulated environments is a strong plus; community contributors and SurrealDB Ambassadors are encouraged to apply

We understand that each candidate brings a unique set of skills and experiences, and we encourage applicants to apply even if you do not meet every qualification listed in the job description.

About the Company

SurrealDB

Cloud-native, multi-model database platform

SurrealDB provides a cloud-native, multi-model database that unifies document, graph, relational, and time-series data in one platform. It runs on Rust and uses SurrealQL, a SQL-like query language, with real-time data synchronization and row-level security, and can function as both a database and a real-time API backend deployed from edge devices to multi-node clusters. The offering includes an open-source database and a fully managed cloud version, differentiating itself by replacing multiple databases and API layers in one system and supporting AI/ML workflows in real time. Its goal is to reduce backend complexity and development time for building scalable, real-time applications for developers and large enterprises.

Company size: 11-50
Company stage: Series A
Total funding: $54.9M
Headquarters: London, United Kingdom
Founded: 2020

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