A-LISTWARE

Our Customer:

A global technology company developing real-time video augmentation and rendering infrastructure for broadcast and streaming environments.

Responsibilities:

• Design and implement a native video playback extension that augments HLS streams at runtime across platforms such as Android (ExoPlayer), webOS, Roku, and others;
• Build and maintain a cross-platform rendering layer using OpenGL for real-time video frame processing and compositing;
• Integrate GPU-based overlays and visual transformations directly into the playback pipeline with strict frame-accurate synchronization;
• Develop device-aware architecture to handle platform-specific decoding, rendering surfaces, hardware acceleration constraints, and performance tuning;
• Integrate external SDKs and APIs alongside an internal AR/graphics processing pipeline;
• Optimize rendering performance, memory usage, and latency under real-time streaming constraints;
• Collaborate with QA and Product teams to validate rendering accuracy, synchronization precision, and cross-device stability.

Required experience and skills:

• Strong hands-on experience with OpenGL (mandatory, core skill), including shader programming and GPU pipeline understanding;
• Solid knowledge of real-time rendering concepts (frame buffers, textures, shaders, synchronization, GPU/CPU interaction);
• Experience integrating OpenGL with native video playback surfaces;
• Practical experience with HLS streaming internals and playback customization;
• Strong understanding of video decoding/rendering pipelines and frame timing control;
• Experience with native video players on at least one of the following platforms: Android (ExoPlayer), webOS, RokuTV;
• Experience implementing low-latency video overlays and graphical composition;
• Understanding of hardware acceleration and performance optimization on embedded/TV devices;
• Proven background in full-cycle software engineering (integration, profiling, debugging, optimization);
• English — Upper-Intermediate+.

Our Customer:

Our client is a fast-growing tech company that builds innovative web solutions. They are looking for a talented Front-end Developer to design and deliver impactful features, contribute to new services, and help advance their platform. The team values collaboration, learning, and continuous innovation.

Your tasks:

• Develop and maintain Angular-based web applications.
• Implement testing best practices to ensure high-quality code.
• Identify performance bottlenecks and optimize front-end functionality.
• Collaborate closely with backend services and APIs.
• Mentor junior developers and help grow the frontend team.
• Work alongside product managers and senior leadership to deliver features.
• Ensure high availability and reliability of the product, including participating in on-call rotations.
• Continuously learn, experiment, and share knowledge with the team.

Required Experience and Skills:

• 5+ years of experience in front-end development.
• Strong expertise in Angular and front-end architecture for large-scale applications.
• Solid understanding of web technologies and browser behavior.
• Experience building scalable, highly responsive, and reliable web apps.
• Passion for UI/UX and attention to detail.
• Ability to thrive in a fast-paced, collaborative environment.
• Excellent communication skills and ability to translate requirements into solutions.
• English level Upper-Intermediate or higher.
• BSc in Computer Science or equivalent practical experience.

Would be a plus:

• Hands-on experience with Angular CLI, testing frameworks (Jasmine, Karma), and Webpack

Working conditions

• 5-day working week, 8-hour working day;
• Remote work.

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.
 

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities;
• Design, build, and own scalable, end-to-end data pipelines;
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains;
• Build and maintain data models for real-time (online) processing;
• Contribute to the creation of new data-driven products and continuously improve existing ones;
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions;
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues.
   

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models;
• Previous experience in the Ad-Tech industry;
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second;
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling;
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques;
• Solid understanding of databases and SQL for data analysis and retrieval;
• Experience with monitoring and alerting tools such as Grafana and Kibana;
• Proven experience working in real-time / online environments;
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production;
• Fluent English with strong communication and collaboration skills.
   

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges);
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB);
• Experience working with PMML.
   

Working conditions

5-day working week, 8-hour working day;

Remote work.

Our customer:

Our customer is a technology-driven company developing a high-end Software Defined Radio (SDR) product, already moving from prototyping to commercial production (hundreds of units).
 

Your tasks:

• Design, develop, and optimize real-time embedded software for a high-performance SDR system
• Implement high-speed data paths inside the SDR and between the SDR and external devices (PC / cloud)
• Develop user-space and kernel-space software on NXP processors
• Work with DPDK-based networking, including UDP/TCP data processing and secure data transmission
• Participate in system-level development involving RF front-end, FPGA (integration level), and processors
• Implement and operate the control plane (internal SDR logic and external communication)
• Ensure real-time performance, low latency, and highly efficient code execution
• Debug complex real-time, multi-component systems (SW + FPGA + RF)
• Implement secure software management flows: secure images, field upgrades, monitoring
   

Required experience and skills:

• Strong experience in real-time embedded software development
• Hands-on experience with DPDK (mandatory)
• Practical experience with RF systems and digital signal processing in embedded environments
• Solid understanding of networking protocols and data processing (UDP/TCP)
• Experience with NXP processors and user-space / kernel-space development
• Proven ability to write highly efficient, low-latency C/C++ code
• Experience working in systems that include FPGA (FPGA coding not required)
• Strong debugging skills for real-time and complex systems
• Understanding of high-speed data paths and performance optimization
• Good command of English (written and spoken)
• Experience with Python for tooling, scripting, or support tasks
   

Would be a plus:

• Deep understanding of RF signals and SDR architectures
• Experience with time synchronization technologies (GNSS, IEEE 1588, clock synchronization)
• Background in digital signal processing (DSP) for real-time systems
• Experience with security mechanisms (VPNs, ciphering, secure communication)
• Experience with cloud-connected embedded systems
   

Working conditions

5-day working week, 8-hour working day;

Remote work.

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities;
• Design, build, and own scalable, end-to-end data pipelines;
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains;
• Build and maintain data models for real-time (online) processing;
• Contribute to the creation of new data-driven products and continuously improve existing ones;
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions;
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues.

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models;
• Previous experience in the Ad-Tech industry;
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second;
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling;
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques;
• Solid understanding of databases and SQL for data analysis and retrieval;
• Experience with monitoring and alerting tools such as Grafana and Kibana;
• Proven experience working in real-time / online environments;
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production;
• Fluent English with strong communication and collaboration skills.

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges);
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB);
• Experience working with PMML.

Working conditions

• 5-day working week, 8-hour working day;
• Remote work.

Our Customer:

Our client is a forward-thinking early-stage startup creating next-generation GPU efficiency solutions and developing performance layers for AI and LLM workloads.

Your tasks:

• Design and enhance GPU software infrastructure.
• Work with CUDA, OpenCL, ROCm, and LLVM to boost computational performance.
  Drive code compilation and transformation workflows from CPU to GPU.
• Develop scalable high-performance computing and AI infrastructure layers.
  Collaborate with top-tier engineers across GPU, AI, and compiler domains.

Required Experience and Skills:

• 5+ years of hands-on experience working with GPU, compiler, or HPC technologies.
• Strong expertise in performance tuning, GPU memory management, and computer architecture.
• Expertise and passion for performance, latency, and optimization.
• Would be a plus:
  Experience with HPC, LLM systems, or AI infrastructure.

Working conditions

• 5-day working week, 8-hour working day;
• Remote work.

Our Customer:
A growing technology company building internal platforms and services for enterprise applications.

Your Tasks:
 

• Develop and maintain backend services using Python and Node.js.
• Implement and maintain access control and authorization mechanisms.
• Build reusable internal tools and libraries to improve development efficiency.
• Monitor system performance and reliability through logging and observability features.
• Work collaboratively with other engineers to deliver new functionality and improve existing systems.

Required Experience and Skills:

• 5+ years of software development experience with strong Python and Node.js skills.
• Practical experience with access control or policy-based systems.
• Understanding of common identity and authorization models (RBAC/ABAC).
• Familiarity with cloud or distributed computing concepts.
• Experience creating reusable components or internal libraries.
• Strong analytical skills and attention to detail.

Would Be a Plus:

• Experience with high-performance or critical backend components.
• Exposure to event-driven architectures.
• Knowledge of compliance or regulatory standards is a plus.
• Contributions to open-source projects or community tools.

Working Conditions:

• Remote work;
• 5-day working week, 8-hour working day, flexible schedule;
• All public holidays are days off;
• Vacation and sick leave are covered by the company.

Our customer:

Our customer is a technology-driven company developing a high-end Software Defined Radio (SDR) product, already moving from prototyping to commercial production (hundreds of units).

Your tasks:

• Design, develop, and optimize real-time embedded software for a high-performance SDR system
• Implement high-speed data paths inside the SDR and between the SDR and external devices (PC / cloud)
• Develop user-space and kernel-space software on NXP processors
• Work with DPDK-based networking, including UDP/TCP data processing and secure data transmission
• Participate in system-level development involving RF front-end, FPGA (integration level), and processors
• Implement and operate the control plane (internal SDR logic and external communication)
• Ensure real-time performance, low latency, and highly efficient code execution
• Debug complex real-time, multi-component systems (SW + FPGA + RF)
• Implement secure software management flows: secure images, field upgrades, monitoring

Required experience and skills:

• Strong experience in real-time embedded software development
• Hands-on experience with DPDK (mandatory)
• Practical experience with RF systems and digital signal processing in embedded environments
• Solid understanding of networking protocols and data processing (UDP/TCP)
• Experience with NXP processors and user-space / kernel-space development
• Proven ability to write highly efficient, low-latency C/C++ code
• Experience working in systems that include FPGA (FPGA coding not required)
• Strong debugging skills for real-time and complex systems
• Understanding of high-speed data paths and performance optimization
• Good command of English (written and spoken)
• Experience with Python for tooling, scripting, or support tasks

Would be a plus:

• Deep understanding of RF signals and SDR architectures
• Experience with time synchronization technologies (GNSS, IEEE 1588, clock synchronization)
• Background in digital signal processing (DSP) for real-time systems
• Experience with security mechanisms (VPNs, ciphering, secure communication)
• Experience with cloud-connected embedded systems