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Simple Machines Tech Stack
Data platform architect and ML engineering consultancy
Simple Machines is a data engineering and AI consultancy built around cloud-native infrastructure (AWS, GCP, Azure) and event-streaming systems (Kafka, Flink, Airflow). Their project portfolio—data mesh implementations, greenfield platforms, large-scale ML systems—reflects a services-first model targeting enterprise and government clients. The hiring mix is heavily weighted toward senior and principal engineers in data and core engineering roles, with minimal sales headcount, indicating a founder-led or account-based sales motion rather than outbound-at-scale.
Tech Stack 49 technologies
Core StackKotlin Java React TypeScript Redux Tailwind CSS AWS Terraform CloudFormation Playwright Databricks Snowflake Kafka Apache Flink Apache Airflow Apache Spark BigQuery AWS Glue PostgreSQL Cassandra MongoDB GCP Azure SQL Dataflow Amazon Redshift GCS Kinesis Pub/Sub Parquet+18 more
What Simple Machines Is Building
◆Challenges
- Optimizing test suite execution time
- Productionising emerging frameworks
- Scaling marketing platform
- Reducing issue counts
- Lowering operational cost
- Messy high-value data
- Growing enterprise client base
- Winning complex engagements
- Margin protection
- Large-scale data processing challenges
▲Active Projects
- Scalable marketing platform backend services
- Real-time pipelines
- Greenfield data platforms
- Large-scale machine learning platform
- Data mesh architecture implementation
- Bespoke software engineering, data platform, and ai engagements
- Cloud data services implementation
- Data products
- Greenfield data solutions
- Complex statements of work structuring
Hiring Activity
30 roles · 15 in 30d
Department
Seniority
Company intelligence
