Education Requirements:

• B.Sc. or M.Sc. in Computer Science or a related engineering field from a recognized institution.

Experience Requirements:

• 5+ years of experience delivering impactful and complex software projects.

• Advanced expertise in JavaScript.

Responsibilities:

• Lead architectural decisions and define the technical vision for our SDKs.

• Own the end-to-end product lifecycle of complex JavaScript libraries that interface with test frameworks, user applications, and server APIs.

• Design APIs and protocols with a focus on asynchronous flows and performance optimization.

• Research and integrate with popular test automation frameworks (e.g., Playwright, Cypress, Puppeteer, WebDriver.io, Selenium, TestCafe, Mocha, Jest).

• Innovate with browser and DOM hacking using Chrome DevTools Protocol (CDP) and WebDriver.

Experience Requirements:

• 6+ years of experience as a developer

• Proven knowledge of Java

• Deep knowledge of software stacks, frameworks, and methodologies such as React.js and Express.js

• Some experience with Google-related development tools such as Firebase or GCP

• Proven experience with SQL databases

Other Requirements:

• Multidisciplinary by nature and loves coding

• Excellent English

• Real Team Player

• Can do attitude

• Want and love to code in all areas

Responsibilities:

• Build complex, scalable, data-intensive, and robust systems (preferably in the cloud)

• Build continuous deployment and integration environments

Experience Requirements:

• 6+ years Backend development, designing and implementing micro-services

• 2+ years Python in Linux environment

Other Requirements:

• Excellent communication and collaboration abilities

• Experience with NoSQL and SQL databases

• Experience working with Messaging Queues

• Good knowledge of AWS services

• Good knowledge of containerization technologies

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features

• Architect, implement, and optimize backend solutions using Python

• Collaborate with product managers, data scientists, tech-leads

• Enhance the performance, scalability, and security of the platform

• Stay up-to-date with industry trends and emerging technologies

Experience Requirements:

• 3+ years Linux System Administration

Other Requirements:

• Excellent communication and collaboration abilities

• Strong expertise in AWS

• Experience with installation and maintenance of different NoSQL Databases and middlewares

• Deep knowledge of containerization technologies

• Proficiency in scripting and automation tools

Responsibilities:

• Develop and implement a cloud-native strategy

• Lead efforts to manage container orchestration platforms

• Enhance and automate CI/CD pipelines

• Drive the adoption of IAC principles and tools

• Collaborate closely with software engineers

Education Requirements:

• MSc in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

Other Requirements:

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

• Great communication and interpersonal skills

• Experience with Recommender System, Reinforcement learning or AutoML will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects.

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• MSc/PhD in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 4+ years of working experience as a data scientist

Other Requirements:

• Strong knowledge with Python and ML data pipeline development for online production

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms in an online production environment

• Great communication and interpersonal skills

• Experience in Recommender System, Auto ML or Reinforcement learning-based algorithms in production will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Lead research and implementation of solutions for Roojoom’s core products using Data Science and cutting edge machine learning methodologies from various domains in unexplored territory.

• Design and implement Improvements of our ML pipeline and AutoML capabilities

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev, and DevOps team.

• Convey complex analysis results clearly and with conviction to stakeholders and customers

Education Requirements:

• B.Sc. in computer sciences or a related discipline

Experience Requirements:

• 5+ years of experience in software R&D management, in agile environments.

• 5+ years of experience in software development in production environments

Other Requirements:

• Experience with Frontend frameworks (Vue/ Angular / React ) and actual experience in Angular

• 5+ years of Experience with Backend systems languages (Python / Java / Scala/ .net etc.)

• Experience with development of online, cloud-based products

• Experience with data structures, parallelism, scalability and high availability

• Experience with an agile development life cycle

• Good analytical and communication skills

• Must have a passion for technology and quality

Responsibilities:

• Roadmap planning and execution together with Product department

• Lead design, architecture, and development of Roojoom products and services

• Produce highly scalable, high-quality software in the fast-paced environment of a startup company

• Find innovative solutions to challenging problems

• Lead and manage both local and remote teams

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 15+ years of experience developing backend systems with passion for excellence

• 10+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing / monitoring / logging

• Experience with REST APIs, server-side API integration, queues and distributed systems

• Knowledge of ORM, SQL and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 10+ years of experience developing backend systems with a passion for excellence

• 5+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing/monitoring / logging

• Experience with REST APIs, server-side API integration, queues, and distributed systems

• Knowledge of ORM, SQL, and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 5+ years experience as a Machine Learning Engineer

• 10+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design patteri

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Hands-on experience designing, training, and deploying machine-learning models

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 10+ years experience as a Machine Learning Engineer

• 15+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design pattern

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Experience with REST APIs, server-side API integration, queues and distributed systems

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• Bsc in a relevant field

Experience Requirements:

• 5 years of experience as a data scientist working on tabular data

• Proficient in Python, SQL, and Spark

• Experience in creating measurable value with ml (defining KPI’s, designing AB tests, monitoring)

• Experience with time series

• Experience with AWS / Databricks – advantage

Responsibilities:

• Work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business

• Continuously helping our clients achieve their business goals, and reinforce the value of Pecan’s modules, and the ease of use of our platform

• Handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more

Benefits:

• Hybrid or remote work options

• Generous PTO

• Flexible hours

• Subsidized meals

• Career growth

Benefits:

• Hybrid or remote work options

• Generous PTO

• Flexible hours

• Subsidized meals

• Career growth

Benefits:

• Hybrid or remote work options

• Generous PTO

• Flexible hours

• Subsidized meals

• Career growth