Senior Software Engineer, Simple Machines

Salary not provided

SQL

AWS

Docker

Kubernetes

TypeScript

Redux

Scala

Java

Kotlin

Cassandra

Terraform

RxJava

Azure

HBase

Cosmos DB

Git

DynamoDB

Senior level

London

1-5 days a week in office

Data-driven platforms & applications

Open for applications

Data-driven platforms & applications

21-100 employees

B2BArtificial IntelligenceBig dataDeep TechMachine LearningData Integration

Open for applications

Salary not provided

SQL

AWS

Docker

Kubernetes

TypeScript

Redux

Scala

Java

Kotlin

Cassandra

Terraform

RxJava

Azure

HBase

Cosmos DB

Git

DynamoDB

Senior level

London

1-5 days a week in office

21-100 employees

B2BArtificial IntelligenceBig dataDeep TechMachine LearningData Integration

Company mission

To architect and engineer highly performant, distributed, data driven platforms and machine learning applications that perform at massive scale.

Job

Company

Role

Who you are

A consultative approach to software development
Core foundation in programming, especially in JVM languages (particularly Kotlin or Java)
Experience designing and implementing data-driven APIs
Exposure to frontend development (particularly React.js, Tailwind, REDUX, Typescript)
Past project experience with large scale webservices
Cloud infrastructure experience with AWS and/or Google Cloud, Azure, etc
Infrastructure-as-code experience, such as with Terraform or Cloud Formation
In-depth experience with unit and integration testing, and test automation generally. Ideally TAA and/or BDD
Experience working with SQL databases in the context of implementing data-driven APIs, and designing database schemas and queries to meet business requirements

Desirable

A passion and proven background in picking up and adopting new technologies on the fly
Backend server experience using Kotlin
Exposure to Scala, or functional programming generally
Experience with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc
Experience with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB
Experience with Git workflows, and the ability to tailor the workflow to project needs
Experience with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc

What the job involves

As a Senior Software Engineer, you will collaborate with internal and client teams to develop sophisticated and scalable solutions across the entire technology stack including frontend, application backend, data pipelines, and infrastructure
Responsible for development of backend services, frontend web user interfaces, data engineering, and infrastructure solutions for a highly scalable marketing platform
Responsible for designing the APIs, applications, and infrastructure the team develops, and documenting the technical requirements and design for the client
Responsible for end-to-end delivery and support, including build, automation, deployment, and operations, for everything that is developed
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
Hybrid remote and in-person collaboration with the delivery team and client stakeholders
Contribute to the development of features, and infrastructure configuration to meet requirements
Gain experience across all aspects of the project: frontend, backend, and infrastructure so a desire and ability to learn and adopt new technologies is essential
Join a world class team building a marketing-technology machine learning platform for a global brand name
You will be part of a globally distributed high-performing team deploying a data science and advanced analytics platform

Salary benchmarks

Our take

Many organisations struggle to unlock the true potential of their data. This data, often vast and complex, can hold valuable insights but requires the right tools and expertise to be harnessed effectively.

Simple Machines step in to address this challenge. Its team of global specialists, combining creative and expert technologists, unlock the true potential of data. It designs and builds custom data platforms, intelligent systems, and unique software products tailored to each client's specific needs. This allows organisations to "engineer data to life", transforming raw information into actionable insights that drive real-world impact.

Simple Machines leverages its expertise with leading technology providers like Google Cloud Platform (GCP), Amazon Web Services (AWS), and Azure to build robust and scalable solutions. This, coupled with its diverse partnerships with enterprises, governments, and technology companies, allows the company to stay at the forefront of the ever-evolving data landscape.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Some candidates hear
back within 2 weeks

15% employee growth in 12 months

Company

Employee endorsements

Tech & tools

"Simple Machines isn’t your typical tech company. Rather, we’re a firm of passionate and talented expert consultants that are as much a community as..."

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Company benefits

Parental leave - Three months’ fully paid primary carer leave and one month fully paid secondary carer leave, subject to a minimum 12 month tenure
Flexible working
"Your day" - One day per year, in addition to annual leave days that you can take off with no explanation required
Employee assistance programme
Learning and development budget for you to upskill, join conferences, get certified and qualified

Company HQ

Darlinghurst, NSW

Leadership

Daniel Pritchard

(CEO)

Previously Founder and Director of BangTango, Managing Director at Jive.

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