Full-Time

Senior Frontend Engineer

Updated on 9/4/2026

Simple Machines

Simple Machines

11-50 employees

Data architecture, engineering, science, and apps

No salary listed

London, UK

Hybrid

Hybrid work in London.

Category
Software Engineering (1)
Required Skills
Agile
React.js
Software Testing
Data Science
Git
Redux.js
Machine Learning
Data Engineering
TypeScript
REST APIs

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Requirements
  • A consultative approach to software development and software engineering.
  • Strong experience with frontend development tools including React.js, Redux, Tailwind, and TypeScript.
  • Past project experience with large-scale web services.
  • Previous experience designing user interfaces for complex business use cases.
  • Experience eliciting business requirements and translating them into technical and design requirements.
  • Familiarity with various Git workflows and the ability to tailor them to project needs.
  • Experience with unit testing, integration testing, and test automation for React.
  • A proven background in adopting new technologies quickly.
Responsibilities
  • Design sophisticated user interfaces for business stakeholders managing a machine-learning-based marketing system.
  • Implement designs as a web application using React.
  • Integrate with APIs provided by the backend development team.
  • Contribute to solution design workshops and advise on implementation approaches.
  • Partner with client stakeholders and team members to gather business requirements, collaborate on design decisions, and translate them into technical and design requirements.
  • Operate within an iterative delivery team using Agile delivery tools and practices.

Simple Machines is an Australian consultancy that fuses data architecture, data engineering, data science, and software development to create large-scale, distributed data platforms and machine learning applications. They design end-to-end data systems that handle streaming and batch data at scale, helping organizations operationalize analytics and AI in real-world settings. They differentiate themselves through enterprise-grade streaming platforms and formal partnerships with Confluent (Kafka), Databricks (Spark), and Lightbend (Scala) for consulting, training, and implementation. Their goal is to help enterprises, governments, and global technology companies unlock value from data by building scalable, reliable pipelines and AI workloads.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Sydney, Australia

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • Simple Machines listed 19 open roles on 2026-08-07, signaling active demand.
  • DataEngBytes 2025 gold sponsorship on 2025-06-12 raised visibility among Oceania data buyers.
  • Simple Machines added senior leadership across ANZ, UK, and Poland during 2026 hiring.

What critics are saying

  • Consulting revenue depends on billable utilization; 19 openings pressure delivery if hires lag.
  • Confluent and Databricks partnerships expose Simple Machines to vendor-led services competition by 2027.
  • Without proprietary products, a referral slowdown from Databricks or Confluent would crush growth.

What makes Simple Machines unique

  • Simple Machines combines data architecture, engineering, software, and AI delivery across Sydney, London, Christchurch.
  • Its 2026 partner stack spans Confluent, Databricks, Snowflake, AWS, Azure, GCP, and Immuta.
  • Jason Martin returned as CTO on 2025-06-12, sharpening its agentic-AI positioning.

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Benefits

Hybrid Work Options