Careers

Responsibilities

• Designing, developing and maintaining Arute Solutions software framework and customer deployed products.
• Integrating customer data into Arute Solutions Data Science DB (using ETL operations).
• Providing excellent documentation regarding software design and operation.
• Contributing to design and code reviews, helping out other team members.
• Travel (if needed) to customer or partner sites for integration, training and correcting field/customer issues.

Requirements

• Minimum 5 years of experience in software development preferred with preferably a large and distributed team of engineers.
• Bachelor and/or Masters Degree in Engineering (preferably Computer).
• Excellent software development skills with good understanding of data structures, algorithms, design patterns, SOLID principles and object oriented programming concepts.
• Proficiency in C# and .NET Core and willingness to learn new languages/frameworks when needed.
• Have solid experience working with relational databases (especially MSSQL and PostgreSQL).
• Familiarity with unit testing frameworks such as NUnit.
• Familiarity with Source Control (i.e. GIT) and Issue Tracker (i.e. JIRA) systems and Development IDEs (i.e. Visual Studio) and CI/CD (Jenkins).
• Familiarity with web technologies including HTTP, AJAX and REST and Javascript.
• Previous development with microservices architecture is a big plus.
• Previous development with React/Redux is a big plus.
• Eagerness to finish tasks and contribute to team work by helping out team members.
• Excellent verbal and written skills in English.

Technologies We Use

• C#, Javascript
• MSSQL, PostgreSQL and PostGIS, MongoDB, Elastic
• ASP.Net MVC, ASP.Net Web Api, .Net Core, Blazor
• Entity Framework, NHibernate, Entity Framework Core
• Autofac, NUnit, XUnit, NLog
• ReactJS, Redux, AngularJS, Leaflet, JQuery, Gulp, Grunt, Webpack, Bootstrap, Sass
• RabbitMQ and Akka.Net
• GIT, Jenkins CI, Octopus Deploy
• Azure, Docker

Responsibilities

• Apply machine learning and statistics expertise to solve analytical problems mainly in finance and e-commerce analytics.
• Work closely with a software development team to convert analytic results into software products.
• Use machine learning expertise to conceptualize new solutions for financial or other problems.
• Communicate and document progress and results to the customers and produce analytical reports.

Requirements

• BS or preferable MS degree in Computer Science, Computational Science, Data Science or general Engineering or related disciplines from a reputable university.
• Solid theoretical understanding of machine learning concepts and algorithms.
• Practical experience with supervised and unsupervised machine learning algorithms (e.g. random forest, multilayer perceptron, SVM, k-means clustering, PCA).
• Experience with Python 3 and its scientific computation and visualisation packages (e.g. numpy, pandas, scikit-learn, matplotlib).
• Skills in data preprocessing, cleaning and data visualisation.
• Proficiency (theoretical know-how) in probability and statistics.
• Good working experience with SQL is necessary to extract and work with data residing in RDMSes.
• Fluency in written/spoken presentation of analytical results in English.

Nice to Haves

• Experience with deep learning libraries is a plus (e.g. TensorFlow, PyTorch).
• Experience with an additional, OOP language is a plus (e.g. C#, C++).
• Experience with distributed big-data computing frameworks is a plus (e.g. Hadoop, Spark, Kafka).
• Experience with financial data and solutions experience is a plus.
• Experience with Time-Series Forecasting is a big plus.

Responsibilities

• Create both automated and manual test plans and for different SW products based on product requirements
• Develop automated tests and periodically run them in staging environment to catch the bugs earliest
• Publish test reports for major scheduled releases and provide feedback for deployability
• Create detailed and organized bugs/issues on JIRA immediately when found
• Hold weekly Bug Scraping meetings to evaluate issues in the Backlog with Dev leads and PMs
• Make sure that the CI/CD pipeline works as intended for all SW releases

Requirements

• Bachelor’s degree in Computer Science, Engineering or related fields
• 5+ years of QA experience with Test cases automation and documentation
• Solid understanding of QA processes, best practices, testing techniques, and methodologies
• Hands on experience in working with testing frameworks such as Selenium WebDriver, Nunit, TestNG, Mocha, etc
• Hands on experience in working with automation tools such as JMeter, Appium, etc
• Experience writing & maintaining automated test scripts for the Web, REST Services, etc
• Good understanding of CI/CD methodology and tools such as Jenkins
• Good knowledge of MSSQL (to test/maintain scheduled SQL jobs and reports)
• Good understanding of Enterprise software security and acceptance methodology (passwords, policies, scheduled reports, etc)
• Working knowledge on at least one of the following languages: C#/ Java/Python/(Node)JS

Nice to Have

• Experience in Android and IOS Application testing
• DevExpress XAF Easy Test experience
• Enterprise IT systems configuration and maitenance (Hyper-V, Windows & Linux servers, Docker & Kubernetes)
• ISTQB certification

Projects

• Cash Optimization: Based on withdrawal and deposit forecasts, we solve a mixed integer problem in order to minimize transport costs and interests due to idle cash satisfying running out of cash issue.
• Routing Projects: We have several customers for whom we provide routing solutions based on their changing requirements and constraints.

Qualifications

• Bachelor’s or higher degree in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, or related field.
• Minimum 1-year experience in designing, implementing, and testing analytic and/or algorithmic solutions to business or operational problems.
• Experience with building integer linear programming models and heuristics for combinatorial optimization problems such as TSP and VRP.
• Experience with object oriented programming languages and optimization solvers such as C#, Python, CPLEX, Gurobi, etc.
• Experience in discrete-event and Monte Carlo simulations.
• Experience in building statistical models, data analysis and relational databases like SQL.
• Excellent verbal and written communication.
• Documentation of algorithm experience.
• Experience with applying machine learning models such as Time Series, Ensemble, and Tree-based models in R/Python is a plus.
• Master’s Degree in Operations Research is a plus.