Luxoft

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

• Responsibilities:

  • Develop high-quality software, design, and functional documentation
  • Provide estimates for specific software feature implementation
  • Identify, prioritize, and execute tasks in the software development life cycle
  • Build unit tests for your code
  • Automate tasks through appropriate tools and scripting
  • Perform validation and verification testing
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with the latest technologies and standards

• Mandatory Skills Description:

  Hard skills:
  - Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
  - Experienced in Linux-based development environments.
  - Network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.
  
  Soft skills:
  - Capable of effective collaboration within a team setting while also being able to work independently.
  - Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
  - Communicates fluently in English at an Upper-Intermediate spoken level.

• Nice-to-Have Skills Description:

  • Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.
  • Optional experience in working with market data and trading environments.
  • Python programming

The project is for one of the world's famous science and technology companies in the 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 hands-on senior engineer to help design, build, and operate cloud data products and services. The role combines AWS cloud engineering, data engineering, analytics, and production delivery in an enterprise environment.

• Responsibilities:

  - Design and deliver AWS solutions using services such as S3, Glue, Lambda, ECS, IAM, and MWAA/Airflow.
  - Build reusable Terraform modules and maintain cloud infrastructure through established CI/CD pipelines.
  - Develop data ingestion, transformation, and analytics workflows using Glue, Snowflake, and dbt.
  - Implement data quality checks, monitoring, and processes for investigating and resolving issues.
  - Deliver products and services through the full software development lifecycle, including design, development, QA and testing, deployment across development, test, and production environments, and operational support.
  - Apply responsible agentic engineering when building or using AI-enabled tools and workflows, with appropriate evaluation, human oversight, security, and data protection.
  - Work with product and business teams to turn requirements into secure, maintainable solutions.

• Mandatory Skills Description:

  - Strong AWS cloud expertise;
  - Production experience with Terraform, Python, SQL, and data engineering and analytics patterns;
  - practical understanding of security, CI/CD, testing, and responsible use of AI agents.

• Nice-to-Have Skills Description:

  Experience with Snowflake, dbt, Azure DevOps, and regulated enterprise environments

• 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.

• Responsibilities:

  - Operate within D&A Landscape primarly using AWS Cloud Services and Azure AD, supporting our R&D efforts in drug discovery and development.
  - Supporting and implementing the technical roadmap
  - maintaining platform functionalities, engineering data archive process and adapting to emerging technologies.
  - implementing new features and building and managing deployments.

• Mandatory Skills Description:

  Programming Skills: In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
  • Services : Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
  • Cloud Skills: Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
  • Best Practices: Knowledge of Object Oriented Programming (OOP) and design patternsand excellent code and technical documentation as well as experience with code review.
  • CI/CD & Automation: Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure DevOps).
  • Testing Framework: Experience in testing framework
  • Security: Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

• Nice-to-Have Skills Description:

  Containerization: Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
  • Data Tools: Experience with Iceberg and Snowflake.
  • Familiarity with Terraform, CloudFormation, or CDK for infrastructure automation.
  • Knowledge of NoSQL databases.

• Languages:
  • English: B2 Upper Intermediate

Project description

Looking for new members of Finance Partners team with excellent analytical skills and profound knowledge of all MS Office programs.

Responsibilities

Budgeting, forecasting, reporting by profit/cost centers on a regular basis

Analyzing the deviations, investigating the reasons for the latter, providing meaningful comments

Preparation of financial/statistical/analytical models and presenting them to stakeholders

Ad-hoc financial analysis (what-if analysis; FX, tax, market risk impact analysis etc)

Consulting stakeholders on financial questions

Constant support of internal systems with financial data

Skills

Must have

Bachelor degree in Economics, Banking, Finance or related science

2+ years of experience in Finance, Controlling preferably in an international company

Excellent communication skills

Advanced MS Office user (especially Excel and PowerPoint)

Attention to details, strong analytical and problem-solving skills

Strong Excel skills

Nice to have

Ability to work without supervision, under pressure of deadlines in a dynamic environment

Big4 experience will be a plus

VBA will be a plus

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

We are looking for an AI Prompt Engineer / AI Integration Engineer with hands-on experience using modern LLM tools such as ChatGPT, Claude, and similar platforms.

The role will focus on applying AI capabilities to engineering web applications, specifically drilling and completion software.

• Responsibilities:

  Identify practical AI use cases for drilling and completion software.
  Design, test, and improve prompts using ChatGPT, Claude, and similar tools.
  Support integration of AI features into engineering web applications.
  Work with product, engineering, and domain teams to validate AI outputs.
  Help define best practices for AI-assisted workflows and responsible AI usage.

• Mandatory Skills Description:

  Practical experience with modern LLM and GenAI tools/platforms, such as ChatGPT, Claude, Azure OpenAI Service, Azure AI Foundry, or similar.
  Strong prompt engineering skills.
  Hands-on experience with LangSmith, LangChain, DeepAgent, or similar frameworks
  Experience with Kafka, Kubernates, Postgres and Bedrock
  Backend: Python
  Experience applying AI tools to real business, engineering, or software development use cases.
  Understanding of how AI/LLM capabilities can be integrated into web applications.
  Ability to design AI-assisted workflows, prompts, and response validation approaches.
  Good understanding of web application concepts.
  Strong communication skills.

• Nice-to-Have Skills Description:

  Experience with drilling, completion, oil & gas, or other engineering software.
  Experience with AI assistants, copilots, workflow automation, or decision-support tools.
  Familiarity with JavaScript/TypeScript, Node.js, Angular, React, or similar technologies.
  Experience with GitHub Copilot, Cursor, or other AI-assisted development tools.
  Experience working with technical documentation, engineering data, or domain-specific knowledge bases.

• You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

   

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

   

• Mandatory Skills Description:

  - 6+ years of commercial experience with Python
  - 2+ years of PySpark experience
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

   

• Nice-to-Have Skills Description:

  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

   

• Languages:
  • English: B2 Upper Intermediate

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

Languages

English: B2 Upper Intermediate

Our Client is undertaking the most significant digital transformation in its history, with the delivery of a consistent, integrated SAP S/4HANA-based ecosystem and associated technology stack across markets as its cornerstone.
We are seeking Senior UiPath Test Automation Developers to build end-to-end (E2E) Test Automation in UiPath. The E2E suite simulates the Client's operations step by step, the way users work, across SAP and non-SAP systems. Once live, it runs automatically every weekend and on demand, for example before big or critical changes. The Developers own the non-SAP parts of the E2E automation and connect them with the SAP parts, which another System Integrator automates. We need deep UiPath and test automation architecture experience: the Developers help design/improve the framework, not only build tests.
More than 200 people are involved in the transformation.

• Responsibilities:

  • Help design and implement the E2E Test Automation framework in UiPath, together with the Client's Test Automation Lead.
  • Build it around four contracts: Identity, Data, Environment and Result.
  • Set up the orchestration of test runs in UiPath Orchestrator and Test Manager, with results flowing into SAP Cloud ALM.
  • Define reusable components, coding standards, and review rules so the suite stays easy to maintain.
  • Automate the non-SAP steps of the E2E business processes in UiPath, with UI and API steps.
  • Connect them with the SAP steps automated by another System Integrator into one E2E flow.
  • Turn the agreed E2E scenarios and Test Cases into data-driven automated tests.
  • Build the automation in parallel with the manual Dry Runs and SIT of the first pilot, so it is ready for SIT and Regression in the later rollouts.
  • Run and maintain the E2E suite every weekend and on demand, for example before big or critical changes.
  • Analyze failures, log defects in SAP Cloud ALM and update the tests.
  • Keep the suite stable as processes, systems and release cycles change.
  • Document the framework, standards and test assets.
  • Share UiPath and framework know-how with the Client's Test Automation Team.
  • Report progress, automation coverage and run results to the Client's Test Automation Lead.

• Mandatory Skills Description:

  * 5+ years in test automation, including 3+ years building test automation in UiPath
  * Deep, hands-on knowledge of UiPath Studio (low-code and coded test automation), Orchestrator, Robots and Test Manager.
  * Experience in designing and building a test automation framework from scratch: architecture, reusable components, standards, and reviews.
  * Experience in automating end-to-end business processes across several systems, with UI and API steps (REST).
  * Data-driven testing and test data handling for automated runs.
  * UiPath Certified Professional certification, e.g. Test Automation Engineer Professional and Automation Developer Professional.
  * Version control (Git) and CI/CD pipelines for automated test runs.
  * Experience automating SAP S/4HANA (SAP GUI / Fiori) with UiPath.
  * Experience with SAP Cloud ALM or a similar ALM tool.
  * UiPath Autopilot and AI agents for testing.
  * Retail or fashion domain knowledge.
  * Ownership: Takes the framework and the suite from design to stable weekly runs.
  * Clear Communication: Explains run results and failures so Test Managers and Product Teams can act on them.
  * Collaboration: Works closely with the Client's Test Managers, the programme System Integrator, non-SAP product vendors (where automations will be built upon) and Product Teams across locations.
  * Structure and Quality: Writes clean, reusable and documented automation that others can maintain.
  * Pragmatism: Automates what brings the most value first, under tight timelines.

• 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.

   

• Responsibilities:

  - Operate within D&A Landscape primarly using AWS Cloud Services and Azure AD, supporting our R&D efforts in drug discovery and development.
  - Supporting and implementing the technical roadmap
  - maintaining platform functionalities, engineering data archive process and adapting to emerging technologies.
  - implementing new features and building and managing deployments.

   

• Mandatory Skills Description:

  Programming Skills: In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
  • Services : Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
  • Cloud Skills: Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
  • Best Practices: Knowledge of Object Oriented Programming (OOP) and design patternsand excellent code and technical documentation as well as experience with code review.
  • CI/CD & Automation: Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure DevOps).
  • Testing Framework: Experience in testing framework
  • Security: Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

   

• Nice-to-Have Skills Description:

  Containerization: Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
  • Data Tools: Experience with Iceberg and Snowflake.
  • Familiarity with Terraform, CloudFormation, or CDK for infrastructure automation.
  • Knowledge of NoSQL databases.

   

• Languages:
  • English: B2 Upper Intermediate

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.

• Responsibilities:

  - Operate within D&A Landscape primarly using AWS Cloud Services and Azure AD, supporting our R&D efforts in drug discovery and development.
  - Supporting and implementing the technical roadmap
  - maintaining platform functionalities, engineering data archive process and adapting to emerging technologies.
  - implementing new features and building and managing deployments.

• Mandatory Skills Description:

  Programming Skills: In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
  • Services : Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
  • Cloud Skills: Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
  • Best Practices: Knowledge of Object Oriented Programming (OOP) and design patternsand excellent code and technical documentation as well as experience with code review.
  • CI/CD & Automation: Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure DevOps).
  • Testing Framework: Experience in testing framework
  • Security: Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

• Nice-to-Have Skills Description:

  Containerization: Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
  • Data Tools: Experience with Iceberg and Snowflake.
  • Familiarity with Terraform, CloudFormation, or CDK for infrastructure automation.
  • Knowledge of NoSQL databases.

Project Description

We are building a new platform for collecting and processing information across the bank and making it accessible through private and public cloud environments.

You will contribute to the platform’s development from the ground up, with a focus on Java development, SQL, automated testing, and code quality.

Responsibilities

• Develop clean, maintainable, and well-tested Java code.
• Write test cases and maintain documentation for users and support teams.
• Support and automate the development environment using Jenkins CI and Bash.
• Evaluate development tools, libraries, and approaches to improve software quality.
• Review code changes and provide constructive feedback to other developers.

Mandatory Skills

• At least 6 years of commercial Java development experience.
• Strong SQL knowledge and practical experience working with relational databases. Experience with Oracle or PostgreSQL is preferred.
• Strong problem-solving and debugging skills, including the ability to understand existing code, identify defects, and implement fixes.
• Ability to explain technical decisions and demonstrate coding skills during live coding exercises.
• English at B2 level or above.

Nice-to-Have Skills

• Experience with messaging systems such as RabbitMQ or Kafka.
• Experience with Docker and Kubernetes.
• Familiarity with Linux.

Recruitment Process

The selection process includes several stages on both our side and the client’s side:

1. CV Review: the project team reviews your experience and its relevance to the role.
2. Coderbyte Test: an online coding assessment.
3. Technical Interview: a technical discussion with our interviewer.
4. Project Management Interview (PMI): a discussion of your experience, communication skills, and fit for the project.
5. Karat Interview: the first client-side technical assessment.
6. Client Interview: the final interview with the client’s project team.

Please be prepared for coding assessments and live coding during the technical selection stages. As the process involves several interviews, it may take additional time to complete.

Our Video Collaboration products help companies stay connected and can be found in the conference rooms of some of the biggest businesses in the world. We are a small, nimble fast growing group and our team is expanding. We create amazing experiences in the conference room using creative design, cuttingedge science, and innovation. We love what we do because we are passionate about connecting people and we use the products we create every day to stay connected to our team. Want to be part of this team of collaboration innovators? We are looking for a talented DevOps Engineer for Embedded Software to join the team. You will be part of a team of developers and ML researchers focused on making video collaboration an amazing experience and the software you create will be used by thousands of people every day

• Responsibilities:

  CI/CD & Build Management
  ● Design, build, and maintain CI and release build processes from component to
  product level
  ● Develop and maintain CI-hosted automated verification and validation (V&V)
  testing methods for domain-specific quality checks
  ● Collaborate with component and product-level domain experts to ensure release
  build processes remain effective and quality monitoring stays robust
  
  Everyday Tasks
  
  Build & Pipeline Development
  ● Implement and deploy CI systems and build pipelines across the audio
  organization
  ● Update and maintain build definitions as new components or product variants are
  introduced
  ● Review and merge pull requests related to build scripts, CI configurations, and
  automation tooling
  
  Testing & Release Management
  ● Implement automated audio- and code-domain CI test methods using C/C++, Bash, and Python
  ● Write audio domain test cases in C/C++, Bash, and Python
  ● Tag, package, and coordinate release candidates for embedded C/C++
  components
  
  Cross-Team Collaboration
  ● Partner with firmware, software, QA, and product teams to jointly define CI and release process requirements
  ● Gather stakeholder input to ensure build/release workflows align with each team's development practices
  ● Act as a liaison between DevOps and embedded development teams, translating release goals into concrete pipeline configurations
  ● Facilitate alignment on branching strategies, versioning conventions, and release cadences across components and products
  
  Team Rituals
  ● Participate in daily standups, sprint planning, and Jira backlog grooming to track DevOps-related work
  
  Impact & Value
  ● Development Velocity: Reduce turnaround time across development and release stages
  ● Standardization: Create unified, simplified build processes across all components and products
  ● Quality Visibility: Enable real-time component and product quality monitoring
  ● Traceability: Provide quality-traceable integration reasoning and root cause analysis

• Mandatory Skills Description:

  Programming & Scripting
  ● C/C++, Python, and Bash
  Embedded Systems
  ● Hands-on experience with embedded systems development
  
  Tools & Technologies
  ● CI/CD: GitHub Actions, Jenkins
  ● Testing: Test automation frameworks and tools
  ● Build Systems: Android build systems, Yocto (embedded Linux), Cmake, Make
  ● Infrastructure: Docker and containerization
  ● Project Management: Jira and related tracking tools

Project description

Responsible for personnel administration, employment documentation, and ensuring compliance with labor legislation throughout the employee lifecycle.

Responsibilities

Administer employee lifecycle processes, including hiring, transfers, changes in employment conditions, and terminations.

Prepare, maintain, and archive employment documentation in compliance with labor legislation and internal policies.

Manage employee leave and absence records.

Maintain accurate employee data in HR systems and personnel files.

Support working time administration and provide HR data for payroll processing.

Ensure compliance with labor legislation and company policies.

Prepare HR reports, certificates, and employment-related documents.

Support internal and external audits related to personnel administration.

Provide guidance to employees and managers on HR administrative matters.

Skills

Must have

Minimum 2 years of experience in HR administration, personnel records management, or a related HR function.

Strong knowledge of labor legislation and HR administration processes.

Experience in employee lifecycle administration (hiring, transfers, changes, terminations).

Knowledge of personnel documentation management and record-keeping requirements.

Experience working with HRIS and personnel administration systems.

Understanding of working time and leave administration processes.

Attention to detail and accuracy in document preparation and data management.

Strong organizational and time management skills.

Ability to handle confidential employee information.

Proficiency in Microsoft Office applications, particularly Excel and Outlook.

Strong communication and interpersonal skills.

Intermediate or higher English proficiency (written and spoken).

Ability to work independently and manage multiple tasks simultaneously.

Nice to have

Experience in large international or multicultural organizations.

Experience supporting HR audits and regulatory inspections.

Experience participating in HR process improvement and automation initiatives.

Familiarity with document management and electronic document workflow systems.

Knowledge of labor law requirements related to employee mobility, remote work, and leave administration.

Advanced Excel skills, including data analysis and reporting.

Experience supporting organizational transformations, employee transitions, or large-scale HR projects.

Experience working with electronic document management and digital signature systems (e.g., Vchasno, DocStorage, HR document workflow platforms).

Other

Languages

English: B1 Intermediate

• 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