Software Engineer, RelationalAI

Cloud

$150-200k

+ Equity

SQL

Kubernetes

Python

Rust

Junior and Mid level

Remote from Canada, Europe, US

More information about location

Relational knowledge graph management

Be an early applicant

Relational knowledge graph management

101-200 employees

B2BArtificial IntelligenceData storageEnterpriseBig dataAnalyticsSaaS

Be an early applicant

$150-200k

+ Equity

SQL

Kubernetes

Python

Rust

Junior and Mid level

Remote from Canada, Europe, US

More information about location

101-200 employees

B2BArtificial IntelligenceData storageEnterpriseBig dataAnalyticsSaaS

Company mission

RelationalAI is on a mission to simplify computing by enabling people to tell computers what they want to do without having to tell them how to do it.

Job

Company

Role

Who you are

Experience Level: 2+ years
We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable
You have 2+ years of hands-on software development experience
You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.)
You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code
You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up
You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped
You care about developer experience and building the tooling that makes others faster and safer
You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.)
You communicate clearly, seek feedback, and give it thoughtfully
You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence

What the job involves

Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion
At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction
We are a remote-first, globally distributed team with colleagues across six continents
From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5
As a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform:
Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights
Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity
Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments
Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers
You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery
You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack
Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale
Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure
Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one

Our take

With more and more businesses and organizations relying on cloud data platforms, demand for better ways to manage this data is rising. RelationalAI is seeking to disrupt the intelligent app landscape with solutions to change the way intelligent apps are built, making it easier for users to access, manage and utilize knowledge data more effectively.

The company's innovative use of knowledge graph technology has gained it much attention, and it was able to raise considerable funding in 2022, which is an undeniable indicator of its impact and potential.

RelationalAI has ambitious plans to open up its platform more widely, and seems likely to see good growth in the coming years. Recent developments include the release of a new product, an AI “coprocessor” for Snowflake, that integrates relational knowledge into Snowflake’s data management platform

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

23% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (1 round)

Apr 2022

$75m

SERIES B

Total funding: $75m

Company HQ

South Berkeley, Berkeley, CA

Leadership

Molham Aref

(CEO)

Previously served as VP of HNC Software and Retek, and was Director of Nomi for over 15 years. Was also CEO of LogicBlox and Predictix.

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