Monolith Tech Stack

AI modeling platform for engineering design optimization and testing

Software Development London, England 11–50 employees Founded 2016 Privately Held

Monolith builds ML models that let engineers solve physics problems directly from test data, targeting automotive and aerospace teams. The stack—Python, Kubernetes, Temporal, Airflow, Spark on AWS—reflects a serious distributed-systems play: they're mid-migration from monolithic to microservices architecture while designing for agentic AI, suggesting a shift from batch model training toward real-time inference and autonomous optimization pipelines. Leadership is concentrated in engineering and data (6 of 7 open roles), with a Head of Engineering hire pending, indicating scaling pressure on architecture and delivery velocity.

Tech Stack 12 technologies

Core StackPython Kubernetes Temporal Apache Airflow AWS Apache Spark PostgreSQL Flask FastAPI Athena AWS ECS

What Monolith Is Building

◆Challenges

Transition from monolithic to distributed architecture
Scale to meet growing demand
Scaling engineering organization
Platform performance and security
Predictable delivery
Migrating legacy systems to new platform
Complex database structures
High request load handling
Performance bottlenecks
Concurrency limitations

▲Active Projects

Transition from monolithic to distributed architecture
Design ai-agentic ready architecture
Build distributed compute services
Migration of client environments to next-generation platform
Migration tooling in python
Critical system release load testing
Automated load testing framework
Performance analysis and bottleneck identification

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

Data

Support

Seniority

Senior

Lead

Mid

Principal

Notable leadership hires: Head of Engineering

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About Monolith

Monolith provides an end-to-end cloud platform that enables engineering teams in automotive, aerospace, and mechanical engineering to build self-learning AI models from their test data without requiring advanced data-science expertise. The product focuses on three workflows: designing AI pipelines and training models, understanding model behavior and parameter sensitivity, and using predictions to optimize design parameters against performance and regulatory targets. Founded in 2016 by a team from Imperial College London and NASA, the company operates as a 11–50-person organization based in London. Current scaling efforts center on platform reliability, distributed compute capacity, and team growth to support accelerating customer demand.

HeadquartersLondon, England

Company Size11–50 employees

Founded2016

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does Monolith use?

Python, Kubernetes, Temporal, Apache Airflow, AWS (ECS, Athena), Apache Spark, PostgreSQL, Flask, and FastAPI. The stack emphasizes distributed orchestration and high-throughput data processing.

Where is Monolith based?

Monolith is headquartered in London, England, and hires exclusively in the United Kingdom across engineering, data, and support functions.