Senior Full-Stack Engineer, Ripjar

Labyrinth Screening

£68-80k

Offers Company Share Scheme

React

MongoDB

JavaScript

Python

Kafka

Elasticsearch

Redis

Node.js

Senior and Expert level

London

2 days a week in office

Real-time intelligence for countering a wide range of threats

Job no longer available

Real-time intelligence for countering a wide range of threats

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaSCyber Security

Job no longer available

£68-80k

Offers Company Share Scheme

React

MongoDB

JavaScript

Python

Kafka

Elasticsearch

Redis

Node.js

Senior and Expert level

London

2 days a week in office

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaSCyber Security

Company mission

To help governments and organisations automate the detection, investigation and monitoring of threats from criminal activity.

Job

Company

Role

Who you are

You will ideally worked have with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You’ll be proficient in at least one programming language and be used to evaluating new technologies
Building and maintaining production software. It’s great if you’ve worked with large scale data processing systems and complex JavaScript or Python codebases
You will be technically proficient with each stage of the software development lifecycle
Your strengths will include designing and developing high quality software, finding and fixing bugs and providing maintenance for production systems
Strong communication skills. You’ll be able to explain complex concepts, write clear and concise code reviews, pull requests and documentation
Must be able to work Hybrid from either Cheltenham, Bristol or London 2 days per week

What the job involves

You’ll join a diverse team of talented engineers building Labyrinth Screening: a sophisticated AI-powered solution at the forefront of the fight against financial crime
You’ll contribute to our customers’ success by designing, developing and shipping features to prevent money laundering, fraud and terrorist financing
Developing our scalable, multi-tenant, cloud-based SaaS-first architecture
Upgrading our DevOps tooling to ship code fast with certainty
Automating end user and system actions with our Labyrinth RPA Workflow Engine
Harnessing the power of Labyrinth Screening to work with arbitrary data at any scale within wider financial crime, cyber crime and national security solutions
Develop innovative software with a global impact. You’ll work across the software development lifecycle to build and deliver technology in a cross-functional agile team
Collaborate with engineers, product managers, architects, UX and QA specialists as part of the wider Ripjar engineering team
Work with our Delivery team to provide deep support expertise for our growing customer base
Contribute to the continuous improvement of Ripjar’s technology stack and development process

Salary benchmarks

Our take

Ripjar provides a data intelligence platform, Labyrinth, that uses Artificial Intelligence to protect organisations against financial crime threats like money laundering, fraud, and funding terrorism. Labyrinth enables human analysts to make better-informed decisions with speed and accuracy, saving their clients’ costs and time.

Previous investments signify confidence in Ripjar's data intelligence technology and its ability to protect companies and governments from criminal activities that jeopardise their assets and prosperity. And it's no surprise, as Ripjar claims Labyrinth is the most sophisticated and advanced cyber-security solution on the market.

As economic uncertainty rises globally, so does the incidence of financial crime, particularly with the increasing shift to online transactions. Both tech companies and the UK government are turning to Ripjar to address these challenges. With a global client base exceeding 20,0000 and recent innovations, the company is well set to see further growth.

Freddie

Company Specialist at Welcome to the Jungle

Insights

21% employee growth in 12 months

Glassdoor (3.85)

Company

Funding (last 2 of 3 rounds)

Sep 2020

$38m

SERIES B

Mar 2017

$5m

EARLY VC

Total funding: $43m

Company benefits

Pension: Our company pension scheme is a great way of building a pot of money for your retirement and as your employer we match your contributions up to 4%
Private Family Health insurance: We provide private medical insurance through Vitality Health. As well as giving staff general advice about eating greens and moving about, Vitality Health gives personal, achievable goals to get healthier with Vitality partners helping along the way with discounts, cashback and reward
25 days holidays: We offer candidates 25 days annual leave plus bank holiday per year, increasing to 30 after 5 years' service
EMI Share Options: We offer an employee share option scheme to recognise and reward staff members for their support, service and contribution to the business
Flexible Working: Employees have the option to work from one of our offices located in Cheltenham, Bristol or London or to work fully remote
Wellbeing Allowance: We provide employees with a £500 allowance, paid quarterly in the sum of £125 per quarter to support a flexible, holistic approach to employees’ well-being
Free lunch and snacks: There is a well-stocked pantry with food, snacks and drinks. Lunch is also provided and ranges from a selection of hot and cold food

Company HQ

Cheltenham, UK

Leadership

Jeremy Annis

(Co-Founder & CEO)

Served as the company's CTO until 2021, and has been CEO since November 2018. Jeremy is a former Intelligence Professional and Data Scientist with the British government’s signals intelligence agency, GCHQ

Tom Griffin

(Co-Founder & COO)

Served as the company's CEO until Jan 2019. Tom has a PhD in Engineering Mathematics, and prior to Ripjar was the Technical Director of GCHQ’s Engineering Department responsible for creating and sustaining the solutions that protect the UK from threats including terrorism, cyber and serious organised crime

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