A-LISTWARE

Our Customer:

A fast-growing product startup in the Video AI domain, collaborating with global publishers and broadcasters to enhance video content experiences at scale.

Your tasks:

• Own the full development lifecycle — from requirements analysis and system design to implementation, testing, and production deployment.
• Design, build, and scale backend services, primarily using Ruby on Rails and Python.
• Develop and optimize frontend solutions using Vanilla JavaScript (ES6), CSS, and modern frameworks such as React and Vue.
• Ensure high performance of user interfaces, focusing on Core Web Vitals and overall responsiveness.
• Work with a high-scale, distributed tech stack including PostgreSQL, Kafka, Spark, Redis, Elasticsearch, InfluxDB, Celery, and Iceberg.
• Deploy, maintain, and scale applications in cloud environments, leveraging infrastructure tools like Terraform and Nomad.

Required experience and skills:

• Bachelor’s degree in Computer Science (or equivalent experience).
• 8+ years of experience in software development with strong backend expertise (proficiency in Ruby on Rails, Python, Java for building scalable backend systems).
• 4+ years of experience in frontend development using Vanilla JavaScript (ES6), HTML, CSS.
• 2+ years of experience with modern frameworks (React or Vue).
• Strong understanding of performance optimization principles, including Core Web Vitals.
• Hands-on experience designing and building high-load, distributed systems.
• Experience working with modern data and messaging technologies (Kafka, Redis, Elasticsearch etc.).
• Hands-on experience with cloud platforms (AWS or GCP) and infrastructure-as-code tools.
• Practical experience using AI-powered development tools (such as Claude, Cursor, Anti-Gravity) to improve development efficiency and code quality.
• Fluent English (Upper-Intermediate or higher) and effective communication skills.

Would be a plus:

• Experience with monetization platforms.
• Background in Big Data technologies and data-intensive systems.
• Experience in Video AI or video processing domains.

Our Customer:

This opportunity is with an innovative product company building advanced AI-powered solutions for large-scale video analysis. The platform processes massive volumes of visual data and transforms them into meaningful insights using a combination of Computer Vision, machine learning, and scalable cloud infrastructure.

The team operates at the intersection of research and engineering, creating systems that are not only intelligent but also production-ready. The environment is fast-paced and focused on continuous experimentation, where adopting new AI tools and approaches is part of everyday work.
 

Your tasks:

• Design and develop advanced Computer Vision and Machine Learning algorithms using Deep Learning approaches
• Work with large-scale datasets to extract insights, detect patterns, and build predictive models
• Build, scale, and maintain infrastructure for integrating and running algorithms in production
• Deploy and manage AI/ML solutions in cloud environments
• Own the full lifecycle of solutions: from research and prototyping to implementation and optimization
• Develop and support backend systems, cloud infrastructure, and DevOps processes
• Continuously explore and adopt new AI tools, models, and workflows to improve efficiency and results
   

Required experience and skills:

• 8+ years of commercial software development experience
• 4+ years of hands-on experience with Python
• Hands-on experience with building, scaling, and maintaining infrastructure for AI/ML systems
• Experience with deploying models and services to cloud environments (AWS, GCP), including CI/CD pipelines
• Understanding of containerization and orchestration (e.g., Docker, Kubernetes or similar tools)
• Strong hands-on experience with PyTorch and/or TensorFlow
• Deep expertise in Computer Vision, especially in video data processing
• Proven experience working with large datasets and building analytical or predictive models
• Experience with Big Data tools such as Spark, PostgreSQL, Elasticsearch, or Redis
• Ability to work independently and take ownership of complex solutions from idea to production
• Strong interest in AI and continuous learning, with readiness to quickly adopt new technologies
• English — Upper-Intermediate or higher
   

Would be a plus:

• Experience with Generative AI and modern LLM/VLM ecosystems
• Hands-on experience with advanced AI models and tools
• Experience with Computer Vision libraries such as OpenCV
• Familiarity with AI-assisted development tools and workflows
• Experience working in product or startup environments

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;
• Strong experience with Kotlin for Android development;
• 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+.
  
  Working conditions:
  5-day working week, 8-hour working day;

Our Customer:
A product-oriented company specializing in the development of high-performance networking solutions. The organization focuses on building scalable software for complex network systems, combining embedded development with advanced networking technologies.
 

Your tasks:

• Design and develop core software for networking hardware, including switches and routers;
• Lead development of embedded components and ensure system-level efficiency;
• Work closely with hardware teams to optimize performance and integration;
• Drive architectural decisions and improve existing codebase;
• Mentor engineers and contribute to best development practices.
   

Required experience and skills:

• 5+ years of experience with C programming with solid commercial background;
• Deep understanding of Linux systems, including build systems and scripting;
• Background in development of networking hardware products.
• Experience with embedded development and hardware interaction;
• Good understanding of networking fundamentals;
• Confident English for technical communication.
   

Would be a plus:

• Strong knowledge of L2/L3 protocols (ARP, STP, IGMP, VLAN, etc.);
• Experience with embedded architectures (ARM, MIPS);

• Familiarity with network operating systems (e.g., SONiC);

   

Our Customer:

An international engineering company delivering software solutions for next-generation networking equipment. The team works on building reliable and efficient systems for data transmission, focusing on embedded environments and network infrastructure.
 

Your tasks:

• Implement and enhance software components for networking devices (switches, routers);
• Work with low-level system logic and interact with hardware layers;
• Support development of embedded solutions for network equipment;
• Create and maintain build configurations and automation scripts;
• Participate in debugging, testing, and performance optimization.
   

Required experience and skills:

• 3+ years of commercial experience with C programming;
• Practical knowledge of Linux environment (including scripting and build tools);
• Basic understanding of networking concepts;
• Exposure to network devices (switches, routers);
• Ability to work with technical documentation in English.
   

Would be a plus:

• Familiarity with networking protocols (L2/L3);
• Experience with embedded platforms;
• Understanding of ARM or MIPS architectures.

Our Customer:

Our client is a technology-focused company building high-performance, real-time ML inference systems. The team develops ultra-low-latency engines that process billions of requests per day, integrating ML models with business-critical decision-making pipelines. They are looking for an experienced backend engineer to own and scale production-grade ML services with strong focus on latency, reliability, and observability.

Your tasks:

• Lead the design and development of low-latency ML inference services handling massive request volumes.
• Build and scale real-time decision-making engines, integrating ML models with business logic under strict SLAs.
• Collaborate closely with data scientists to deploy ML models seamlessly and reliably in production.
• Design systems for model versioning, shadowing, and A/B testing at runtime.
• Ensure high availability, scalability, and observability of production systems.
• Continuously optimize latency, throughput, and cost-efficiency using modern tools and techniques.
• Work independently while collaborating with cross-functional teams including Algo, Infrastructure, Product, Engineering, and Business stakeholders.

Required Experience and Skills:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or related technical field.
• 5+ years of experience building high-performance backend or ML inference systems.
• Expert in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML).
• Experience with scalable service architectures, message queues (Kafka, Pub/Sub), and asynchronous processing.
• Strong understanding of model deployment, online/offline feature parity, and real-time monitoring.
• Experience with cloud environments (AWS, GCP, OCI) and container orchestration (Kubernetes).
• Familiarity with in-memory and NoSQL databases (Aerospike, Redis, Bigtable) for ultra-fast data access.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry) and alerting/diagnostics best practices.
• Strong ownership mindset and ability to deliver solutions end-to-end.
• Passion for performance, clean architecture, and impactful systems.

Would be a plus:

• Prior experience leading high-throughput, low-latency ML systems in production.
• Knowledge of real-time feature pipelines and streaming data platforms.
• Familiarity with advanced monitoring and profiling techniques for ML services.

Our Customer:

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

Your tasks:

• Develop and maintain the backend pipeline to monitor, synchronize, and manipulate video streams such as SRT & HLS and MySQL resources on the cloud;
• Integrate and manage modules written both in C++ and Node.js;
• Implement a complex metadata system over AWS, including S3 security access and acceleration;
• Design and deploy backend architecture (NodeJs) to manage data allocation and pipeline control;
• Create and maintain a dashboard to monitor pipeline status and performance.

Required Experience and Skills:

• Over 8 years of experience with Node.js;
• Experience with AWS, including S3, RDS, and CloudFront;
• Experience in real-time video processing;
• Deep understanding of rendering synchronization techniques for multimedia content in a web browser environment;
• Hands-on experience with WebGL;
• Familiarity with DRM video streams (SRT, HLS) and Image Processing in the browser;
• Excellent problem-solving skills and attention to detail;
• Ability to work independently and in a collaborative team environment;
• Strong communication skills;
• English – Upper-Intermediate.

Would be a plus:

• Experience with database management, particularly MySQL;
• Experience with C++ realtime programming;
• Knowledge of modern DevOps practices and tools;
• Previous experience with sports broadcasting and AR technology.

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