Luxoft

• Project Description:

  Our Client is one of the leading manufactures of dental and oral health products. As part of Company strategic evolution, we participate in development of a new cloud platform which will combine high quality of current intellectual property Company has, with power of Cloud technologies. As part of team you will have unique chance to increase quality of dental services all over the world and work with professionals from all over the world on high loaded demanded system.

• Responsibilities:

  - Development of company-wide UI component library
  - Participation in the code review process
  - Collaborative work in an Agile environment together with the engineering team and product owners

• Mandatory Skills Description:

  - Total years in IT: 5+ years
  - Flutter (4+ of commercial experience with Flutter). In-depth Flutter framework knowledge
  - Experience in building/publishing software libraries for use by other parties
  - Dart
  - Languages: English at least Upper-Intermediate, preferably Advanced

• Nice-to-Have Skills Description:

  - Experience with the development of web applications
  - Bitbucket
  - Jira/Xray
  - Google Cloud Platform CI/CD
  - Scrum framework

• Languages:
  • English: C1 Advanced

• Project Description:

  Our team is responsible for the development, integration, and support of corporate information systems designed to help business processes run with maximum efficiency.
  
  We develop a set of software products used by 15k+ Luxoft employees. Our solutions automate a wide range of business processes, including client relationship management, contract workflows, purchasing, business travel, budget planning, invoicing, recruitment, personnel administration, and time and resource management.
  
  We are looking for an experienced Software Developer with deep knowledge of architectural approaches to software design and implementation.
   

• Responsibilities:

  Be part of an agile development team
  Participate in microservices architecture implementation
  Participate in architecture and system design reviews
  Understand the concepts of Clean Architecture and DDD
  Be able to conduct code reviews
  Have experience with the .NET 9 tech stack
  Be able to write maintainable code
   

• Mandatory Skills Description:

  - .NET 9
  - DDD
  - Clean Architecture
  - Angular 19
  - MS SQL

   

• Nice-to-Have Skills Description:

  - Advanced English
  - Azure Kubernetes Services
  - Azure DevOps (CI-CD, Docker, HELM)
  - Enterprise Architecture
  - EF Core
  - Microservices architecture
  - Elastic
  - Redis

• Project Description:

  Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.
   

• Responsibilities:

  Testing Balance: 70% Automation / 30% Manual testing split.
  Embedded automation: actively contribute and evolve existing automation framework (Python).
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.
  Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.
  Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.
   

• Mandatory Skills Description:

  Python: Advanced proficiency to evolve and maintain an existing automation framework.
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.

• Project Description:

  One of the world's largest providers of products and services to the energy industry has a need to develop, support and integrate software system in Oil & Gas domain.
  You will be a member of a cross functional team.
  Key project stakeholders are open for innovative ideas.
  Project is based on SCRUM methodology.
  This is a great opportunity to work in an international team, apply and learn modern IT technologies

   

• Responsibilities:

  Quickly learn new technologies and improve proficiency
  Follow up with Developer on open vulnerabilities
  Share reports of open, closed vulnerabilities
  Develop unique, effective security strategies for software systems, networks, and cloud provider
  Safeguards information system assets by
  identifying and solving potential and actual security problems
  Maintain quality service by following
  organization standards
  Contribute to team effort by accomplishing
  related results as needed

   

• Mandatory Skills Description:

  Understanding of definitions related to cyber security: Vulnerability, attack vector, threat , security risk, SAST, DAST, WAF ets
  Understanding of networking, Operating systems (Windows and Linux)
  Basic concepts in programming Ex: Python
  Very good English as team is multinational

• Project Description:

  We are looking for an experienced Data Engineer to join the Shelf Analytics project – a data-driven application designed to analyze how P&G products are positioned on store shelves. The primary objective of the solution is to improve product visibility, optimize in-store execution, and ultimately increase sales by combining shelf layout data with sales insights.
  
  As a Data Engineer, you will play a key role in building, maintaining, and enhancing scalable data pipelines and analytics workflows that power shelf-level insights. You will work closely with analytics and business stakeholders to ensure high-quality, reliable, and performant data solutions.
   

• Responsibilities:

  Design, develop, and maintain data pipelines and workflows using Databricks and PySpark
  Read, understand, and extend existing codebases; independently develop new components for Databricks workflows
  Implement object-oriented Python solutions (classes, inheritance, reusable modules)
  Develop and maintain unit tests to ensure code quality and reliability
  Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries
  Create and manage Databricks workflows, clusters, databases, and tables
  Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions
  Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions
  Support continuous improvement of data engineering standards, performance, and scalability
   

• Mandatory Skills Description:

  Strong programming skills in Python and PySpark
  Hands-on experience with Databricks (workflows, clusters, tables, databases)
  Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio
  Experience with pandas, dbx, and unit testing frameworks
  Practical experience working with Azure Storage (ADLS) and access control (ACLs)
  Proficiency with GitHub, including CI/CD pipelines and GitHub Actions
  Ability to work independently, analyze existing solutions, and propose improvements

• Project Description:

  The project provides a set of APIs, image and text recognition libraries, and other tools for automation testing of ECUs, especially automotive headunit and digital cluster. It provides a black box environment, which allows testing of automotive headunit without making any change to the headunit's software. In other words, no hook is needed.
  Team is divided in 2 locations: Ukraine and Detroit

   

• Responsibilities:

  Design separate components, modules, classes, database tables etc.
  • Code, debug, document, and maintain portions of software.
  • Perform unit and integration testing.
  • Participate in peer code and design reviews.
  • Participate in estimation and planning sessions.
  • Contribute to development of technical project documentation and user documentation.
  • Provide assistance to test engineers and support personnel in solving technical issues of software installation and its operation.
  • Participate in conference calls and face-to-face meetings with the Customer and Customer partners.
  • Comply with the best engineering practices, the technical standards and the quality criteria set forth on the project.
  • Report status and progress according to the project rules.
  • Spot current deficiencies in the development process, adopted procedures and engineering practices, environment configurations, etc., and suggest improvements.
  • Escalate technical issues to Tech Lead and Product Owner.
  • Improve your qualification within the areas of expertise at various training courses, seminars and/or other educational organizations
   

• Mandatory Skills Description:

  Python
  C++
  Computer Vision/image processing
   

• Nice-to-Have Skills Description:

  Good communication skills
  Automotive
  Agile

• Project Description:

  One of the world's largest providers of products and services to the energy industry has a need to develop, support and integrate software system in Oil & Gas domain.
  You will be a member of a cross functional team.
  Key project stakeholders are open for innovative ideas.
  Project is based on SCRUM methodology.
  This is a great opportunity to work in an international team, apply and learn modern IT technologies

• Responsibilities:

  Quickly learn new technologies and improve proficiency
  Follow up with Developer on open vulnerabilities
  Share reports of open, closed vulnerabilities
  Develop unique, effective security strategies for software systems, networks, and cloud provider
  Safeguards information system assets by
  identifying and solving potential and actual security problems
  Maintain quality service by following
  organization standards
  Contribute to team effort by accomplishing
  related results as needed

• Mandatory Skills Description:

  Understanding of definitions related to cyber security: Vulnerability, attack vector, threat , security risk, SAST, DAST, WAF ets
  Understanding of networking, Operating systems (Windows and Linux)
  Basic concepts in programming Ex: Python
  Very good English as team is multinational

• Nice-to-Have Skills Description:

  Willing to have a hacker mindset and methodology
  Familiar with agile methodologies

• Languages:
  • English: B2 Upper Intermediate

One of the world's largest providers of products and services to the energy industry has a need to develop, support and integrate software system in Oil & Gas domain.
You will be a member of a cross functional team.
Key project stakeholders are open for innovative ideas.
Project is based on SCRUM methodology.
This is a great opportunity to work in an international team, apply and learn modern IT technologies

• Responsibilities:

  Quickly learn new technologies and improve proficiency
  Follow up with Developer on open vulnerabilities
  Share reports of open, closed vulnerabilities
  Develop unique, effective security strategies for software systems, networks, and cloud provider
  Safeguards information system assets by
  identifying and solving potential and actual security problems
  Maintain quality service by following
  organization standards
  Contribute to team effort by accomplishing
  related results as needed

• Mandatory Skills Description:

  Understanding of definitions related to cyber security: Vulnerability, attack vector, threat , security risk, SAST, DAST, WAF ets
  Understanding of networking, Operating systems (Windows and Linux)
  Basic concepts in programming Ex: Python
  Very good English as team is multinational

• Nice-to-Have Skills Description:

  Willing to have a hacker mindset and methodology
  Familiar with agile methodologies

Project description

Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.

Responsibilities

Testing Balance: 70% Automation / 30% Manual testing split.

Embedded automation: actively contribute and evolve existing automation framework (Python).

Protocols: Hands-on experience with CAN, gRPC, and TCP.

Embedded Systems: Expertise in hardware flashing and embedded environment interaction.

OS: Linux knowledge and CLI proficiency.

CICD: Experience with GitHub Action.

Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.

Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.

Skills

Must have

Python: Advanced proficiency to evolve and maintain an existing automation framework.

Protocols: Hands-on experience with CAN, gRPC, and TCP.

Embedded Systems: Expertise in hardware flashing and embedded environment interaction.

OS: Linux knowledge and CLI proficiency.

CICD: Experience with GitHub Action.

Nice to have

Automotive

We are looking for an experienced Data Engineer to join the Shelf Analytics project – a data-driven application designed to analyze how P&G products are positioned on store shelves. The primary objective of the solution is to improve product visibility, optimize in-store execution, and ultimately increase sales by combining shelf layout data with sales insights.

As a Data Engineer, you will play a key role in building, maintaining, and enhancing scalable data pipelines and analytics workflows that power shelf-level insights. You will work closely with analytics and business stakeholders to ensure high-quality, reliable, and performant data solutions.

• Responsibilities:

  Design, develop, and maintain data pipelines and workflows using Databricks and PySpark
  Read, understand, and extend existing codebases; independently develop new components for Databricks workflows
  Implement object-oriented Python solutions (classes, inheritance, reusable modules)
  Develop and maintain unit tests to ensure code quality and reliability
  Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries
  Create and manage Databricks workflows, clusters, databases, and tables
  Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions
  Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions
  Support continuous improvement of data engineering standards, performance, and scalability

• Mandatory Skills Description:

  Strong programming skills in Python and PySpark
  Hands-on experience with Databricks (workflows, clusters, tables, databases)
  Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio
  Experience with pandas, dbx, and unit testing frameworks
  Practical experience working with Azure Storage (ADLS) and access control (ACLs)
  Proficiency with GitHub, including CI/CD pipelines and GitHub Actions
  Ability to work independently, analyze existing solutions, and propose improvements

• Nice-to-Have Skills Description:

  Experience with retail, CPG, or shelf analytics–related solutions
  Familiarity with large-scale data processing and analytics platforms
  Strong communication skills and a proactive, problem-solving mindset

Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.

• Responsibilities:

  Testing Balance: 70% Automation / 30% Manual testing split.
  Embedded automation: actively contribute and evolve existing automation framework (Python).
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.
  Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.
  Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.

• Mandatory Skills Description:

  Python: Advanced proficiency to evolve and maintain an existing automation framework.
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.

• Nice-to-Have Skills Description:

  Automotive

Project Description:

We are looking for an experienced Data Engineer to join the Shelf Analytics project – a data-driven application designed to analyze how P&G products are positioned on store shelves. The primary objective of the solution is to improve product visibility, optimize in-store execution, and ultimately increase sales by combining shelf layout data with sales insights.

As a Data Engineer, you will play a key role in building, maintaining, and enhancing scalable data pipelines and analytics workflows that power shelf-level insights. You will work closely with analytics and business stakeholders to ensure high-quality, reliable, and performant data solutions.

Responsibilities:

Design, develop, and maintain data pipelines and workflows using Databricks and PySpark
Read, understand, and extend existing codebases; independently develop new components for Databricks workflows
Implement object-oriented Python solutions (classes, inheritance, reusable modules)
Develop and maintain unit tests to ensure code quality and reliability
Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries
Create and manage Databricks workflows, clusters, databases, and tables
Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions
Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions
Support continuous improvement of data engineering standards, performance, and scalability

Mandatory Skills Description:

Strong programming skills in Python and PySpark
Hands-on experience with Databricks (workflows, clusters, tables, databases)
Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio
Experience with pandas, dbx, and unit testing frameworks
Practical experience working with Azure Storage (ADLS) and access control (ACLs)
Proficiency with GitHub, including CI/CD pipelines and GitHub Actions
Ability to work independently, analyze existing solutions, and propose improvements

Nice-to-Have Skills Description:

Experience with retail, CPG, or shelf analytics–related solutions
Familiarity with large-scale data processing and analytics platforms
Strong communication skills and a proactive, problem-solving mindset

Languages:

English: B2 Upper Intermediate

Project Description
The project focuses on the modernization, maintenance, and development of an eCommerce platform for a large US-based retail company, serving millions of omnichannel customers weekly.

Solutions are delivered by several Product Teams working on different domains: Customer, Loyalty, Search & Browse, Data Integration, and Cart.

Current key priorities:

• New brands onboarding
• Re-architecture
• Database migrations
• Migration of microservices to a unified cloud-native solution without business disruption

Responsibilities

• Design data solutions for a large retail company.
• Support the processing of big data volumes.
• Integrate solutions into the current architecture.

Mandatory Skills

• Microsoft Azure Data Factory / SSIS
• Microsoft Azure Databricks
• Microsoft Azure Synapse Analytics
• PostgreSQL
• PySpark

Mandatory Skills Description

• 3+ years of hands-on expertise with Azure Data Factory and Azure Synapse.
• Strong expertise in designing and implementing data models (conceptual, logical, physical).
• In-depth knowledge of Azure services (Data Lake Storage, Synapse Analytics, Data Factory, Databricks) and PySpark for scalable data solutions.
• Proven experience in building ETL/ELT pipelines to load data into data lakes/warehouses.
• Experience integrating data from disparate sources (databases, APIs, external providers).
• Proficiency in data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault).
• Strong SQL skills: complex queries, transformations, performance tuning.
• Experience with metadata and governance in cloud data platforms.
• Certification in Azure/Databricks (advantage).
• Experience with cloud-based analytical databases.
• Hands-on with Azure MI, PostgreSQL on Azure, Cosmos DB, Azure Analysis Services, Informix.
• Experience in Python and Python-based ETL tools.
• Knowledge of Bash/Unix/Windows shell scripting (preferable).

Nice-to-Have Skills

• Experience with Elasticsearch.
• Familiarity with Docker/Kubernetes.
• Skills in troubleshooting and performance tuning for data pipelines.
• Strong collaboration and communication skills.

Languages

• English: B2 (Upper Intermediate)

We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.

Responsibilities:

• Manage and optimize data platforms (Databricks, Palantir).
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.
• Optimize computing and storage for large-scale data processing.
• Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
• Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability.

Mandatory Skills Description:

• Minimum 10 Years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Bachelor's in IT or related field.
• Infrastructure & Cloud: Azure, AWS (expertise in storage, networking, compute).
• Data Platform Tools: Any of Palantir, Databricks, Snowflake.
• Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
• SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
• ETL Tools: Familiarity with ETL tools & processes
• Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
• Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
• Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
• Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.

Nice-to-Have Skills Description:

• Containerization & Orchestration: Docker, Kubernetes.
• Infrastructure as Code (IaC): Terraform.
• Understanding of Investment Data domain (desired).

Languages:

English: B2 Upper Intermediate

• Project Description:

  Integrated Digital Expert system is a monitoring and diagnostics system. It fulfils both local and remote data access and analytics requirement, as well as local and remote troubleshooting purpose.

   

• Responsibilities:

  At least 4 years of creating and executing test cases
  • Working knowledge of functional and non-functional software testing, the software test life cycle, and various test design methodologies (function, performance, accessibility, scenario etc.).
  • Test cases creation and execution based on Customer and Software requirements
  • Python 3+ years of experience
  • Experience of setting up testing framework from scratch
  • Experience in testing of Backend (API) and data quality
  • Knowledge of API testing tooling like Postman, Swagger
  • DBs basics and SQL database usage expert
  • Familiar with IoT OR Time series data handing knowledge
  • Linux knowledge
  • Experience with AWS services
  • CI/CD (Jenkins)
  • Experience with Performance testing
  • Good soft skills in communication.
  • Exemplary verbal and written communication skills (English).
  • Creative problem-solver capable of creating and reproducing interesting software bugs.

   

• Mandatory Skills Description:

  Mandatory Skills Description
  • At least 4 years of creating and executing test cases
  • Working knowledge of functional and non-functional software testing, the software test life cycle, and various test design methodologies (function, performance, accessibility, scenario etc.).
  • Test cases creation and execution based on Customer and Software requirements
  • Python 3+ years of experience
  • Experience of setting up testing framework from scratch
  • Experience in testing of Backend (API) and data quality
  • Knowledge of API testing tooling like Postman, Swagger
  • DBs basics and SQL database usage expert
  • Commercial experience in IoT
  • Commercial experience with Time series data
  • Linux knowledge
  • Experience with the AWS services ecosystem (including EC2, IAM, and the AWS Management Console)
  • CI/CD (Jenkins)
  • Experience with Performance testing
  • Good soft skills in communication.
  • Exemplary verbal and written communication skills (English).
  • Creative problem-solver capable of creating and reproducing interesting software bugs.