Luxoft

• Project Description:

  We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
  This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Proven experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Proficient in using Visual Studio Code (VSCode) with relevant extensions (Python, Cucumber, Copilot).
  Experience managing Python virtual environments and dependencies.
  Proficient with Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

• Nice-to-Have Skills Description:

  Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
  Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
  Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
  Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
  Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).
  Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
  Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.

• Languages:
  • English: C1 Advanced
  • Ukrainian: C1 Advanced

• Project Description:

  We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
  This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Knowledge managing Python virtual environments and dependencies.
  Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.

• Nice-to-Have Skills Description:

  Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
  Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
  Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
  Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
  Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

• Languages:
  • English: B2 Upper Intermediate
  • Ukrainian: C1 Advanced

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Proven experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Proficient in using Visual Studio Code (VSCode) with relevant extensions (Python, Cucumber, Copilot).
  Experience managing Python virtual environments and dependencies.
  Proficient with Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.
  • Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.
  • Automate DBT jobs to streamline transformations and ensure reliable data workflows.
  • Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.
  • Document data models, processes, and workflows clearly for future reference and knowledge sharing.
  • Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.
  • Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.
  • Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.
  • Leverage SQL expertise for complex queries, transformations, and performance optimization.
  • Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.
  • Develop Python scripts for ETL/ELT processes, automation, and data quality checks.
  • Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.
  • Manage RBAC and enforce data governance policies to ensure compliance and secure data access.
  • Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

• Mandatory Skills Description:

  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.
  • CI/CD expertise using Azure DevOps (build, release, version control).
  • Experience automating DBT jobs for data transformations.
  • Experience building Streamlit applications with Snowflake integration.
  • Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

• The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.
  
  We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.
  • Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.
  • Automate DBT jobs to streamline transformations and ensure reliable data workflows.
  • Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.
  • Document data models, processes, and workflows clearly for future reference and knowledge sharing.
  • Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.
  • Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.
  • Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.
  • Leverage SQL expertise for complex queries, transformations, and performance optimization.
  • Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.
  • Develop Python scripts for ETL/ELT processes, automation, and data quality checks.
  • Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.
  • Manage RBAC and enforce data governance policies to ensure compliance and secure data access.
  • Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

• Mandatory Skills Description:

  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.
  • CI/CD expertise using Azure DevOps (build, release, version control).
  • Experience automating DBT jobs for data transformations.
  • Experience building Streamlit applications with Snowflake integration.
  • Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

• Nice-to-Have Skills Description:

  - Cloud certifications is a plus

• Languages:
  • English: B2 Upper Intermediate

Project Description:

We are seeking a highly motivated and technically proficient QA Hybrid Test Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities:

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
Framework Management: Actively contribute to a new and maintain the existing automation frameworks
Ensure comprehensive test coverage by writing detailed test scenarios
Engage in specialized testing of automotive systems, including validation of in-vehicle components
Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Mandatory Skills Description:

Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
Proven experience developing, debugging, and maintaining Python code for automated testing.
Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
Experience managing Python virtual environments and dependencies.
Experience with Git for version control and JFrog Artifactory
Ability to read and follow technical documentation in English.
Strong communication skills for collaboration with developers, testers.

Nice-to-Have Skills Description:

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).
Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.
Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Languages:

English: B2 Upper Intermediate

Project Description:

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities:

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
Framework Management: Actively contribute to a new and maintain the existing automation frameworks
Ensure comprehensive test coverage by writing detailed test scenarios
Engage in specialized testing of automotive systems, including validation of in-vehicle components
Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Mandatory Skills Description:

Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.
Experience developing, debugging, and maintaining Python code for automated testing.
Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
Knowledge managing Python virtual environments and dependencies.
Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
Ability to read and follow technical documentation in English.
Strong communication skills for collaboration with developers, testers.

Nice-to-Have Skills Description:

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Languages:

English: B2 Upper Intermediate

Ukrainian: C1 Advanced

Project description

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.

Framework Management: Actively contribute to a new and maintain the existing automation frameworks

Ensure comprehensive test coverage by writing detailed test scenarios

Engage in specialized testing of automotive systems, including validation of in-vehicle components

Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Skills

Must have

Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.

Proven experience developing, debugging, and maintaining Python code for automated testing.

Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.

Proficient in using Visual Studio Code (VSCode) with relevant extensions (Python, Cucumber, Copilot).

Experience managing Python virtual environments and dependencies.

Proficient with Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.

Ability to read and follow technical documentation in English.

Strong communication skills for collaboration with developers, testers.

Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Nice to have

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.

Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.

Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.

Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.

Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).

Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.

Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.

Languages

English: C1 Advanced,

Ukrainian: C1 Advanced

Project description

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.

Framework Management: Actively contribute to a new and maintain the existing automation frameworks

Ensure comprehensive test coverage by writing detailed test scenarios

Engage in specialized testing of automotive systems, including validation of in-vehicle components

Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Skills

Must have

Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.

Experience developing, debugging, and maintaining Python code for automated testing.

Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.

Knowledge managing Python virtual environments and dependencies.

Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.

Ability to read and follow technical documentation in English.

Strong communication skills for collaboration with developers, testers.

Nice to have

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.

Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.

Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.

Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.

Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.

Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Languages

Ukrainian: C1 Advanced,

English: B2 Upper Intermediate

Project Description:

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities:

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
Framework Management: Actively contribute to a new and maintain the existing automation frameworks
Ensure comprehensive test coverage by writing detailed test scenarios
Engage in specialized testing of automotive systems, including validation of in-vehicle components
Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Mandatory Skills Description:

Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
Proven experience developing, debugging, and maintaining Python code for automated testing.
Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
Proficient in using Visual Studio Code (VSCode) with relevant extensions (Python, Cucumber, Copilot).
Experience managing Python virtual environments and dependencies.
Proficient with Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
Ability to read and follow technical documentation in English.
Strong communication skills for collaboration with developers, testers.
Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Nice-to-Have Skills Description:

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).
Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.

Project Description:

We are seeking a highly motivated and technically proficient QA Hybrid Test Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities:

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
Framework Management: Actively contribute to a new and maintain the existing automation frameworks
Ensure comprehensive test coverage by writing detailed test scenarios
Engage in specialized testing of automotive systems, including validation of in-vehicle components
Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Mandatory Skills Description:

Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
Proven experience developing, debugging, and maintaining Python code for automated testing.
Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
Experience managing Python virtual environments and dependencies.
Experience with Git for version control and JFrog Artifactory
Ability to read and follow technical documentation in English.
Strong communication skills for collaboration with developers, testers.

Nice-to-Have Skills Description:

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).
Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.
Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Languages:

English: B2 Upper Intermediate

Project Description:

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

Responsibilities:

Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
Framework Management: Actively contribute to a new and maintain the existing automation frameworks
Ensure comprehensive test coverage by writing detailed test scenarios
Engage in specialized testing of automotive systems, including validation of in-vehicle components
Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

Mandatory Skills Description:

Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.
Experience developing, debugging, and maintaining Python code for automated testing.
Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
Knowledge managing Python virtual environments and dependencies.
Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
Ability to read and follow technical documentation in English.
Strong communication skills for collaboration with developers, testers.

Nice-to-Have Skills Description:

Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

• We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
  This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.
  
   

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Proven experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Proficient in using Visual Studio Code (VSCode) with relevant extensions (Python, Cucumber, Copilot).
  Experience managing Python virtual environments and dependencies.
  Proficient with Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

• Nice-to-Have Skills Description:

  Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
  Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
  Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
  Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
  Experience integrating automated tests with Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SIL) benches via industry-standard APIs (such as ASAM HIL).
  Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
  Experience with requirements gap analysis, traceability, and coverage reporting for ADAS or other safety-critical automotive systems.

   

• Languages:
  • English: C1 Advanced
  • Ukrainian: C1 Advanced

• 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:

  Application Security with strong AI/ML security exposure
  Threat modeling and risk assessment for AI systems, APIs, and cloud-native applications
  Protection against prompt injection, adversarial ML, data poisoning, and model abuse
  Secure SDLC and CI/CD integration, including MLOps pipelines
  Hands-on experience with SAST, DAST, SCA, container scanning, and security automation
  Strong collaboration with development and data science teams

   

• Mandatory Skills Description:

  5+ years in Application Security, with at least 1-2 years focused on AI/ML security
  Strong secure coding and vulnerability management background (OWASP Top 10)
  Experience with cloud platforms (AWS and/or Azure)
  Strong programming skills in Python or Java
  Familiarity with AI platforms such as Amazon Bedrock, SageMaker, or Spark
  Strong communication skills

The SEM product is embedded within the Geosciences Suite of Applications. This application has multiple views consisting of both 2D and 3D visualizations. The current data visualization is not sufficient for what we would like it to be. This role is expected to work with the lead and the product owner to understand the current shortcomings, investigate and research potential solutions, propose these solutions to the teams, and then work on the implementation of the agreed upon work. To get to this stage, the developers will also need to learn the inner workings of the visualization framework within Geoscience.

• Responsibilities:

  • Design, develop, and maintain graphics-intensive modules within the Geoscience platform using Java and OpenGL.
  • Implement advanced 2D and 3D visualization features for seismic, geological, and geospatial data.
  • Optimize rendering performance and ensure cross-platform compatibility, particularly in Linux environments.
  • Collaborate with geoscientists and software engineers to translate domain-specific requirements into technical solutions.
  • Participate in code reviews, testing, and documentation to maintain high-quality software standards.
  • Stay updated with the latest developments in graphics technologies and geoscience applications.

• Mandatory Skills Description:

  • Bachelor's or Master's degree in Computer Science, Geoscience, or a related field.
  • 5+ years of professional experience in Java development with a focus on graphics programming.
  • Proficiency in OpenGL and related graphics libraries for rendering complex datasets.
  • Strong experience working in Linux environments, including shell scripting and system optimization.
  • Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team.

• Nice-to-Have Skills Description:

  • Experience with geoscience software platforms.
  • Familiarity with geoscience data formats and visualization techniques.
  • Knowledge of additional programming languages such as C++ or Python.
  • Understanding of GIS technologies and spatial data analysis.
  • Experience with agile development methodologies and version control systems like Git