Senior Python Developer

NETHONE sp. z o.o.O firmie

contract of employment, contract of mandate
14 000‐20 000 zł gross / mth.
B2B contract
14 000‐20 000 zł net (+ VAT) / mth.
Rekrutacja zdalna

Rekrutacja zdalna

To wyróżnienie ofert oznacza, że cały proces rekrutacyjny jest prowadzony zdalnie. Dowiedz się więcej
Rekrutacja zdalna
  • Koszykowa 61, Warszawa
    Warszawa, Masovian
  • Ważna jeszcze miesiąc
    do: 11 lip 2020
  • Praca zdalna
  • contract of employment, contract of mandate, B2B contract
  • full-time
  • senior specialist (Senior)

NETHONE sp. z o.o.

Koszykowa 61

Warszawa

Technologies we use

Expected

  • Python

  • PostgreSQL

  • Git

Operating system

About the project

Nethone is the global leader in AI-driven KYU (Know Your Users) solutions that help enterprises from all around the world convert cyberthreats into well-informed, profitable decisions. From world-class fraud prevention, through real-time adaptive customer segmentation and retention tools, up to account takeover detection based on advanced behavioural biometrics, Nethone services simultaneously protect bottom lines and elevate profits of forward-looking businesses. Founded in 2016 by experienced data scientists, security experts, and business executives, Nethone is one of the fastest-growing companies in Central Europe.

Your responsibilities

  • working on the public and internal API backends

  • designing then implementing new features (code, tests, documentation) and maintaining current ones (optimizations, bug fixes)

  • conducting code reviews

  • taking part in team's sprint and quarter plannings, standups etc.

Our requirements

  • at least 4 years of commercial experience writing procedural and/or object-oriented code supporting live

  • production systems

  • decent knowledge of the Python programming language

  • experience with implementing REST-like APIs

  • experience working with any of the relational database systems (modeling, SQL language, basics of performance aspects)

  • fluency with basic git usage

  • communicative written English

  • fluency in both oral and written Polish

  • ability and willingness to write usable documentation

  • determination in achieving goals, communicativeness, ability to work within a team

Optional

  • experience with managing requirements gathering

  • experience implementing workflows on data sets of non-trivial size

  • experience with database query optimizations

  • experience with messaging queue solutions (e.g. RabbitMQ)

  • experience with container orchestration solutions, especially Kubernetes

  • experience with GraphQL

  • experience with SQLAlchemy ORM

  • experience with maintaining production-grade systems in a point of contact role

Division of working time
70%

new features

10%

maintance and bugfixing

10%

client support

5%

document writing

5%

meetings

This is how we organize our work

Team size

  • 5-7

This is how we work

  • in house
  • you focus on a single project at a time
  • you have influence on the product
  • you develop the code "from scratch"
  • you focus on product development
  • agile
  • scrum

Team members

  • backend developer
  • frontend developer
  • fullstack developer
  • technical leader
  • UX designer

This is how we work on a project

  • code review

  • DevOps

  • documentation

  • integration tests

  • unit tests

Development opportunities we offer

  • assistance in preparation to public speeches

  • industry-specific e-learning platforms

  • intracompany training

  • substantive support from technological leaders

  • support of IT events

  • time for development of your ideas

What we offer

  • Unique product (proprietary anti-fraud solution with cutting-edge Machine Learning models, clients from multiple sectors)

  • Self development (personal development program, unlimited access to online educational platforms, English, German and Spanish lessons)

  • Casual atmosphere (no dress code, team building events, monthly budget for team meetings, chillroom with PS4, Nintendo Switch and boardgames)

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • remote work opportunities

  • flexible working time

  • fruits

  • integration events

  • corporate library

  • no dress code

  • video games at work

  • coffee / tea

  • drinks

  • sharing the costs of tickets to the movies, theater

  • birthday celebration

  • employee referral program

  • extra leave

Recruitment stages
1

CV review

2

Phone screening

3

Recruitment task

4

Technical interview

5

Decision

NETHONE sp. z o.o.

Nethone is a data science company specialised in AI-driven business intelligence and fraud prevention. Nethone enables online merchants to sell more, earn more, and maximise every dollar they invest in risk management and customer acquisition. Founded in 2016 by a team of experienced data scientists, risk managers and security specialists with merchant backgrounds, the company operates globally, helping businesses convert threats and challenges into profits. Be they fraudsters or legitimate cardholders, new shoppers or return customers, brand loyalists or discount hunters, we know how to tell each from the other and turn this knowledge into well-informed, profitable decisions. Nethone is where advanced data science meets a truly individual approach to each of our client’s unique challenges, goals and vision. We create custom AI-driven solutions that convert threats into profitable decisions. Automatically. In real time. Thanks to our unique blend of AI and human ingenuity we protect our clients’ bottom lines against fraud and streamline their risk management processes. We provide unique, data-driven business insights that they can leverage to get ahead of the game in the competitive world of online commerce. Nethone utilizes diverse state-of-the-art technologies, including in-depth User Profiling (5000+ data points), Behaviour Analytics, Device Fingerprinting and more. We gather, enrich, extend, and crunch all of this data to provide our clients with actionable information. Our data science team creates custom Machine Learning models for each business case after thoroughly analysing and understanding all the circumstances the client operates under. In effect, we can thoroughly x-ray each single individual on our client’s website, discover links between thousands of apparently unrelated variables and accurately predict actions their users will undertake.

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