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Software Engineer (recommendation team)
Bloomreach SK s.r.o.
Place of work
Remote work
Remote work
Contract type
full-time
full-time
Start date
ASAP
ASAP
Wage (gross)
1 500 - 3 500 EUR/monthMonthly fixed salary
1 500 - 3 500 EUR/monthMonthly fixed salary
Information about the position
Job description, responsibilities and duties
We are Exponea, an internationally renowned Customer Data and Experience Platform – a tool for in-depth analysis and marketing automation for online businesses. We work with global e-commerce leaders and top companies from all over the globe.
We are currently expanding our Recommendations team and are looking for a new colleague as Software Engineer. Could you be one of them?
About your role and the team:
The goal of the Recommendations team is to improve customer experience on the web through personalization and predictive analytics. It empowers our clients to better connect with their customers, and on the other hand, customers shopping online are able to find relevant products out of thousands of products available.
As a Software Engineer, you will have the opportunity to work with large amounts of data providing reliable, low latency and large scale production systems such as:
- A product recommendation platform for a variety of e-commerce companies
- Predictive analytics to analyze, learn and score customer behaviour in a real-time
Team's tasks and responsibilities:
- Design, build and improve customer-facing recommendation solutions with high-throughput on top of Google Cloud Platform and Kubernetes
- Scale out our infrastructure for future needs
- Build, design and maintain robust data pipelines and data storages for machine learning models that recommendation and predictive models can source data from
- Build reliable infrastructure for enabling quick and efficient development of recommendations models
- Build reliable quality monitoring metrics tracking and alerting for hundreds of ML models
What you might like about the role:
Current Recommendation Team projects and challenges:
- Rewrite components of our pipeline to be more robust and scalable
- Introduce Quality of Service guarantees (SLOs - Service Layer Objectives)
- Increase throughput of data imports and exports
- Decrease response time of recommendations engines and relevant APIs
Our tech stack:
- Python, Go,
- Kubernetes, Prometheus,
- SQL, MongoDB, Redis, Elasticsearch
- Google Cloud Platform
- Apache Kafka,
- Gitlab CI/CD
We are currently expanding our Recommendations team and are looking for a new colleague as Software Engineer. Could you be one of them?
About your role and the team:
The goal of the Recommendations team is to improve customer experience on the web through personalization and predictive analytics. It empowers our clients to better connect with their customers, and on the other hand, customers shopping online are able to find relevant products out of thousands of products available.
As a Software Engineer, you will have the opportunity to work with large amounts of data providing reliable, low latency and large scale production systems such as:
- A product recommendation platform for a variety of e-commerce companies
- Predictive analytics to analyze, learn and score customer behaviour in a real-time
Team's tasks and responsibilities:
- Design, build and improve customer-facing recommendation solutions with high-throughput on top of Google Cloud Platform and Kubernetes
- Scale out our infrastructure for future needs
- Build, design and maintain robust data pipelines and data storages for machine learning models that recommendation and predictive models can source data from
- Build reliable infrastructure for enabling quick and efficient development of recommendations models
- Build reliable quality monitoring metrics tracking and alerting for hundreds of ML models
What you might like about the role:
Current Recommendation Team projects and challenges:
- Rewrite components of our pipeline to be more robust and scalable
- Introduce Quality of Service guarantees (SLOs - Service Layer Objectives)
- Increase throughput of data imports and exports
- Decrease response time of recommendations engines and relevant APIs
Our tech stack:
- Python, Go,
- Kubernetes, Prometheus,
- SQL, MongoDB, Redis, Elasticsearch
- Google Cloud Platform
- Apache Kafka,
- Gitlab CI/CD
Employee perks, benefits
- A great deal of freedom and trust. At Exponea we don’t clock in and out, and we have neither corporate rules nor long approval processes. We are interested in results from day one. Freedom goes hand in hand with responsibility
- Learning, personal development and professional growth
- Entrepreneurship and leadership lessons. You will gather valuable know-how for your own business. Our CEO Peter Irikovský’s goal is to support our people in starting their own successful businesses. Easier done with the money and know-how you will have obtained here
- Flexible working hours. Remote work and home office are possible
- Reward based on your commitment and capabilities
- An easy-to-access downtown office
- Coaching sessions with our communication and talent development expert, Ivo Večeřa
- Free lunches in Exponea Foodie Club restaurants
- Friendly atmosphere and motivated colleagues who like what they do
- Learning, personal development and professional growth
- Entrepreneurship and leadership lessons. You will gather valuable know-how for your own business. Our CEO Peter Irikovský’s goal is to support our people in starting their own successful businesses. Easier done with the money and know-how you will have obtained here
- Flexible working hours. Remote work and home office are possible
- Reward based on your commitment and capabilities
- An easy-to-access downtown office
- Coaching sessions with our communication and talent development expert, Ivo Večeřa
- Free lunches in Exponea Foodie Club restaurants
- Friendly atmosphere and motivated colleagues who like what they do
Requirements for the employee
Candidates with education suit the position
Secondary with school-leaving examination
University education (Bachelor's degree)
University education (Master's degree)
University education (Bachelor's degree)
University education (Master's degree)
Language skills
English - Upper intermediate (B2)
Other knowledge
Python - Advanced
Personality requirements and skills
What we expect of the candidate:
Must have
- Ability to write clean, concise and modular code
- Solid experience in building HTTP and GRPC APIs
- Experience delivering high-throughput distributed infrastructure
- Experience with storage and database technologies incl. relational and NoSQL databases
- Understanding of core Computer Science concepts such as data structures and algorithms
- Ability to collaborate in a cross-functional team using strong written and verbal communication
Nice to have
- Experience with Python or Go or similar language
- Experience with running data-intensive applications (batch or realtime processing)
- Ability to compare pros and cons of storage or database solutions, and pick the best fit for particular problem
Must have
- Ability to write clean, concise and modular code
- Solid experience in building HTTP and GRPC APIs
- Experience delivering high-throughput distributed infrastructure
- Experience with storage and database technologies incl. relational and NoSQL databases
- Understanding of core Computer Science concepts such as data structures and algorithms
- Ability to collaborate in a cross-functional team using strong written and verbal communication
Nice to have
- Experience with Python or Go or similar language
- Experience with running data-intensive applications (batch or realtime processing)
- Ability to compare pros and cons of storage or database solutions, and pick the best fit for particular problem
Advertiser
Brief description of the company
Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic. It offers a suite of products that drive true personalization and digital commerce growth, including:
- Discovery, offering AI-driven search and merchandising
- Content, offering a headless CMS
- Engagement, offering a leading CDP and marketing automation solutions
Together, these solutions combine the power of unified customer and product data with the speed and scale of AI-optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer. Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion. The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth. For more information, visit Bloomreach.com.
- Discovery, offering AI-driven search and merchandising
- Content, offering a headless CMS
- Engagement, offering a leading CDP and marketing automation solutions
Together, these solutions combine the power of unified customer and product data with the speed and scale of AI-optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer. Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion. The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth. For more information, visit Bloomreach.com.
Number of employees
500-999 employees
ID: 3942907
Megjelentetés dátuma: 27.11.2020
2020-11-27
Régió: Remote work Pozíció: Programmer, Python Programmer, Software Engineer Cég: Bloomreach SK s.r.o.
Alapbér (bruttó): 1 500 EUR/month