Luxoft

Project Description:
Join a team developing a leading software solution in the Energy domain, supporting the entire Oil & Gas production lifecycle — from geological exploration to optimizing drilling and well operations.
Our technology enables geologists, geophysicists, and drilling engineers to efficiently research, visualize, and interpret large volumes of geological data.
You will be part of a senior, collaborative team focused on high-quality delivery and long-term innovation in the upstream sector.

Responsibilities

• Provide engineering support in the drilling and completions area to the DWP team.
• Perform objective assessments of product quality and contribute as an active Software Tester.
• Develop detailed test cases and scenarios based on test objectives and acceptance criteria.
• Participate in sprint planning and story estimation, ensuring testing aspects are covered.
• Collaborate with subject-matter experts to define and validate key end-user workflows.
• Maintain and configure test environments.
• Execute functional, regression, and integration testing according to requirements.
• Identify, document, and track defects through to resolution.
• Verify bug fixes and ensure changes do not affect associated functionalities.

Mandatory Skills

• Bachelor’s or Master’s degree in Petroleum Engineering, Geophysics, Geology, or Chemical Engineering (GPA 7.5+).
• Strong understanding of upstream Oil & Gas applications (Landmark EDT preferred).
• Knowledge of drilling and well engineering concepts, including:
  • Well construction, drilling techniques, fluids property management
  • Well control, drilling mechanics, performance monitoring
  • Completion design and well performance analysis
• Experience with engineering tools such as WellCat, WellPlan, Compass is a plus.
• Familiarity with Agile methodologies.
• Excellent communication and collaboration skills.

Nice-to-Have Skills

• QA experience (manual or automation) — ideally in Oil & Gas upstream applications.
• Familiarity with SDLC/STLC and various testing types (Smoke, Functional, Integration, Regression, UAT, Performance).
• Experience with test management tools (Azure DevOps/TFS, JIRA).
• API and web application testing experience.
• Basic understanding of automation frameworks and tools.
• Cloud knowledge (Azure / AWS) and performance testing experience.
• ISTQB Foundation certification (optional).

Project Description:

Developed product is the leading software system in Energy domain covering all aspects of Oil&Gas production from geological exploration to optimization of ongoing production. Our technology solution helps geologists and geophysicists to research, visualize and interpret large volumes of geological data.

Responsibilities:

Intern's tasks at the beginning.
For the future:
- Clarification and analysis of customer requirements
- Providing consultations to the development team on Oil&Gas domain
- Continuous and acceptance testing of the developed software

Mandatory Skills Description:

- Educational background in geosciences (geology or geophysics)
- Upper-Intermediate English

Nice-to-Have Skills Description:

Oil&Gas domain work experience is a plus
Understanding SDLC, testing concept, and quality assurance best practices

Languages:

English: B2 Upper Intermediate

• Project Description:

  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:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

• Nice-to-Have Skills Description:

  - experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
  - ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

• Languages:
  • English: B2 Upper Intermediate

Project Description:

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:

• In-depth knowledge of Snowflake's data warehousing capabilities.
• Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
and cost.
• Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
• Develop and optimize complex SQL scripts, stored procedures, and data transformations.
• Work closely with data analysts, architects, and business teams to understand requirements and
deliver reliable data solutions.
• Implement and maintain data models, dimensional modeling for data warehousing, data marts,
and star/snowflake schemas to support reporting and analytics.
• Integrate data from various sources including APIs, flat files, relational databases, and cloud
services.
• Ensure data quality, data governance, and compliance standards are met.
• Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
associated tools.
• Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Mandatory Skills Description:

• 5+ years of experience
• Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
• Ability to write complex SQL queries, stored procedures, and user-defined functions.
• Skills in optimizing SQL queries for performance and efficiency.
• Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
or similar tools for real-time and periodic data processing.
• Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
• Strong understanding of data security, compliance and governance.
• Experience with DBT for database object modeling and provisioning.
• Experience in version control tools, particularly Azure DevOps.
• Good documentation and coaching practice.

Nice-to-Have Skills Description:

- experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
- ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

Languages:

English: B2 Upper Intermediate

Project description

The developed product is a leading software system in the Energy domain, covering all aspects of Oil & Gas production—from geological exploration to the optimization of ongoing operations. Our technology solution enables geologists and geophysicists to efficiently research, visualize, and interpret large volumes of geological data.

You'll be joining a senior, supportive, and friendly team, committed to delivering high-quality solutions in the industry.

Responsibilities

Provide engineering support in drilling and completions area to DWP team.

Provide an objective assessment of Product Quality

Contribute as an active Software Tester on the Team to deliver product stories

Develop Test Cases based on Test Objectives and Acceptance Criteria

Write comprehensive Test Cases to verify Product functionality

Contribute during Sprint Planning to ensure all Testing concerns are discussed and accommodated in the story sizing

Work with Subject Matter Experts to identify and define key End User Workflows

Define, create and maintain Test environments

Validate Functionality according to Requirements/Stories

Verify Development changes have no undesired effect on other, associated areas of Functionality

Identify, communicate and document Bugs in a consistent fashion

Track Bugs through resolution and implementation

Verify Bugs are resolved according to Bug Definition

Skills

Must have

· Bachelor or Master Degree from a recognized university in petroleum, Geophysics, Geology or chemical engineering with minimum GPA 7.5 and above

· Good understanding of upstream applications. (Preferred: EDT Applications)

· Knowledge of one or more of the basic wells engineering concepts including:

Well construction – drilling techniques, well control, fluids property management, drilling mechanics, performance monitoring

Well completions – completion designs, well performance analysis,

· Experience with engineering applications such as WellCat, Wellplan, Compass will be an advantage.

· Comfortable with Agile methodologies

· Excellent Communication Skills

Nice to have

Experience with web applications test automation, API testing, Performance testing, Azure\AWS cloud services

QA experience (Experience with Oil and Gas Upstream applications preferred)

Experience with SDLC/STLC processes and complete understanding of various testing types viz Smoke, Functional, Integration, Performance, Regression and User Acceptance Testing etc.

ISTQB foundation level certified (Optional)

Well versed with Test Case creation, Defect and Test Management tool (Azure DevOps/TFS, JIRA)

Basic understanding of Framework creation using any of the Automation tool.

• Project Description:

  We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience 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 looking for an experienced Software Engineer with strong telecom domain expertise to join a project focused on next-generation network technologies, including 5G, RAN, EPC, wireless communications, and network security solutions.

The role combines software development with deep understanding of telecom systems and protocols. Candidates should be comfortable working in complex network environments and leveraging modern AI tools to improve productivity and engineering efficiency.

Responsibilities

• Design, develop, and maintain telecom-related software components.
• Contribute to solutions supporting 5G, RAN, EPC, wireless, and network security technologies.
• Participate in architecture discussions, system design, and technical analysis.
• Develop and optimize software using Java, C++, Python, or similar technologies.
• Troubleshoot and resolve issues in complex distributed environments.
• Collaborate with QA, DevOps, and system engineering teams.
• Utilize AI-assisted development tools to improve delivery speed and quality.

Mandatory Skills

• Strong software development experience in Java, C++, Python, or similar languages.
• Hands-on experience within telecom, networking, or wireless communication domains.
• Knowledge of 5G, RAN, EPC, wireless technologies, or network security.
• Understanding of distributed systems and software architecture.
• Experience with Linux-based environments.
• Strong problem-solving and analytical skills.

Nice to Have

• Experience with network testing platforms.
• Security and PQC knowledge.
• Automation and CI/CD experience.
• Practical usage of AI development tools such as Claude, ChatGPT, GitHub Copilot, or similar.
• Knowledge of cloud technologies and containerization.

Project Description

We are looking for an experienced AI Platform Engineer to design and build AI-powered engineering solutions that automate software development, testing, deployment, and operational processes.

The role focuses on Agentic AI, Large Language Models (LLMs), automation frameworks, and platform integrations. You will work on building AI agents, orchestration workflows, evaluation frameworks, and automation pipelines that support modern software engineering teams.

Responsibilities

• Develop AI-powered applications and automation solutions using Python.
• Design and implement agent-based workflows and AI automation pipelines.
• Build integrations with Jira, Confluence, GitLab, Jenkins, and other engineering platforms.
• Develop and maintain APIs, automation services, and AI tooling.
• Create evaluation and monitoring frameworks for AI systems.
• Implement containerized solutions and CI/CD integrations.
• Collaborate with software engineering teams to integrate AI capabilities into development workflows.
• Contribute to technical architecture and engineering best practices.

Mandatory Skills

• Strong Python development experience.
• Commercial experience with Generative AI, LLMs, Agentic AI, RAG, or AI Automation.
• Experience with Claude, OpenAI, Azure OpenAI, or similar LLM platforms.
• Strong understanding of REST APIs and system integrations.
• Experience with Docker, Git, and CI/CD pipelines.
• Knowledge of software engineering best practices and testing.
• Ability to work with Java/Spring Boot applications when required.

Nice to Have

• MCP (Model Context Protocol).
• Multi-agent systems.
• AI evaluation frameworks.
• Prompt Engineering.
• LangChain, LlamaIndex, DeepEval, PromptFoo.
• Telecom domain knowledge.

• 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).

• 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.

• 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 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).

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

English: B2 Upper Intermediate

Project description

The client is one of the leading automotive OEMs in the United States. The project aims to expand the client's development team and support the implementation of the HMI and Middleware components for a next-generation automotive platform, specifically tailored for high-performance and racing features.
The scope includes close collaboration with the client's engineering teams to deliver high-quality, reliable, and performance-optimized software solutions that meet the demanding requirements of racing environments.

Responsibilities

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

Skills

Must have

POSIX (C++/C++17) skills

Unreal Engine 4.0 or never

Experience in embedded systems

SOME/IP is a messaging bus (a bit like MQTT.)

CommonAPI C++ is an implementation of a networking protocol that can generate serialization and communication code.

Nice to have

Franca is a language for defining service interfaces (a bit like the proto2/proto3 syntax of Protocol Buffers but with more focus on RPC.)

Experience with open-source-software, scripting, CMake and Make is a strong plus

Languages

English: B2 Upper Intermediate

Project description

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal assistant that uses hosted APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

Responsibilities

Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)

Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests

Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.

Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history

Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

Skills

Must have

8+ years of hands-on experience in Data Science and 2+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.

Strong programming skills in languages such as Python and familiarity building ETL pipelines.

Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases

Solid experience with OpenSearch

Familiarity with AWS cloud platform and its services.

Experience with version control systems (e.g., Git) and CI/CD pipelines.

Ability to build scalable infrastructure to embed and search very large number of documents.

Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

Expertise in ML

Strong English skills (B2 and higher)

Strong verbal and written communication skills.

Ability to work independently and collaborate in a group.

Nice to have

Agile certification

Oracle/Microsoft attestations and certifications

Domain knowledge

Trading and Capital Markets

Languages

English: C1 Advanced