A-LISTWARE

Our Customer:

A product-focused company building a large-scale SaaS platform, where the DevOps function serves as the backbone of the entire development and infrastructure ecosystem, ensuring high standards of performance, security, and reliability.

Your tasks:

• Develop, maintain, and optimize CI/CD pipelines to support efficient and reliable delivery processes.
• Design, implement, and manage scalable cloud infrastructure across AWS and GCP environments.
• Ensure high availability, reliability, and security of production systems.
• Identify and mitigate infrastructure-related risks, including performance and security issues.
• Analyze system performance and implement improvements for scalability and efficiency.
• Build and enhance internal tools for monitoring, testing, and system diagnostics.
• Collaborate closely with development teams to support delivery and operational excellence.

Required experience and skills:

• 2+ years of hands-on experience in DevOps within Cloud or SaaS environments.
• Strong experience with AWS and/or GCP cloud platforms.
• Solid understanding of high availability, scalability, and reliability principles.
• Experience with networking fundamentals.
• Proven experience building and maintaining CI/CD pipelines.
• Proficiency in scripting (Bash and/or Python).
• Hands-on experience with Infrastructure as Code (IaC) tools and practices.
• Practical experience working with Kubernetes.
• Strong problem-solving skills and ability to work in dynamic environments.
• Upper-intermediate or higher level of English.

Would be a plus:

• Experience with multi-cloud environments.
• Understanding of Application Lifecycle Management (ALM).
• Experience working with CDNs.
• Familiarity with databases such as MongoDB and PostgreSQL.

Our Customer:

Our client is an international technology company focused on protecting complex industrial and operational environments, helping ensure the resilience of essential infrastructure while driving innovation in the cybersecurity space.

Your Tasks:

• Lead the overhaul of CTD’s database schema to support high-load and scalable systems.
• Manage the transition from MariaDB to PostgreSQL while ensuring low risk to production environments.
• Design and develop a reliable Data Access Layer (DAL) for consistent data interaction.
• Establish clear models for transaction handling and session management.
• Improve database performance through effective indexing strategies and partitioning techniques.
• Set up database governance policies along with performance guidelines and best practices.
• Analyze and align database performance with system-level resources such as CPU, memory, and I/O.
• Develop monitoring, observability, and diagnostic solutions to simplify troubleshooting.
• Work closely with R&D, Product, and Support teams to ensure smooth collaboration and delivery.

Required Experience and Skills:

• 5+ years of experience as a Database Administrator (DBA).
• Strong practical experience working with MariaDB/MySQL and PostgreSQL.
• Proven track record of building and maintaining high-scale data systems.
• Expertise in query performance optimization, including advanced indexing and partitioning strategies.
• Deep understanding of transaction processing and concurrency control mechanisms.
• Hands-on experience handling high-throughput workloads and systems.
• Strong knowledge of data retention strategies and their implementation.
• English proficiency at Upper-Intermediate level or higher.

Would Be a Plus:

• Hands-on experience designing and implementing Data Access Layers (DAL).
• Proven experience migrating MySQL/MariaDB databases to PostgreSQL.
• Solid familiarity with Python and working with ORMs.
• Practical experience operating in on-premise environments.
• Experience using and implementing database observability and monitoring tools.

Working conditions

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

Remote work.

Our Customer:

A global enterprise focused on building advanced data and analytics capabilities and scaling a modern cloud-based BI platform based on Microsoft Fabric and Power BI.

Your tasks:

• Act as a technical expert for Power BI and Microsoft Fabric in an enterprise analytics environment.
• Troubleshoot complex issues related to performance, data refresh, semantic models, capacity, and cross-platform integrations (Azure, Databricks, SAP, etc.).
• Design and implement AI-driven accelerators using Microsoft Copilot, prompt engineering, and automation frameworks to reduce development effort and standardize BI delivery through reusable assets.
• Develop and validate Proofs of Concept for new Microsoft Fabric capabilities.
• Optimize semantic models, DAX calculations, Direct Lake performance, and overall reporting efficiency.
• Build and maintain reusable assets such as templates, scripts, and automation toolkits.
• Contribute to CI/CD pipelines, governance practices, and monitoring solutions for BI platforms.
• Translate architectural requirements into scalable technical solutions.

Required experience and skills:

• 8+ years of hands-on experience with Power BI development in enterprise environments.
• Strong expertise in Microsoft Fabric.
• Proven experience applying AI in BI or analytics engineering workflows, including Microsoft Copilot, prompt engineering, and automation frameworks.
• Advanced knowledge of DAX and semantic modeling.
• Strong understanding of Direct Lake, incremental refresh, aggregations, and performance optimization.
• Experience with deployment pipelines, workspace governance, and capacity management.
• Experience integrating with Azure, Databricks, SAP, and other enterprise data platforms.
• Experience delivering technical Proofs of Concept (POCs).
• Strong communication skills and ability to work with stakeholders.
• Upper-intermediate or higher English.

Would be a plus:

• Experience building reusable frameworks or internal BI tooling.
• Background in data engineering or data platform development.
• Experience with CI/CD automation.
• Experience working in large enterprise environments.
• Experience optimizing cloud cost and resource utilization.

Working conditions

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

Remote work.

Required skills:

• Great communication and presentation skills;
• Advanced written and spoken English;
• Ability to grow, develop, and maintain personal relationships with a network of potential customers;
• Entrepreneurial mindset, ability to take risks and operate in conditions of high uncertainty, proactive attitude.

Would be a plus:

• Generic understanding of IT technologies and Software Development process;
• Experience in IT sales as a lead generator;
• Knowledge of the IT Outsourcing industry, its business models, sales cycle, and markets.

Responsibilities:

• Participate in the development of the company’s business development strategy;
• Conduct research to identify potential prospects via established channels like LinkedIn and mass communication such as email, social media, and phone calls;
• Prepare and submit proposals;
• Investigate potential clients;
• Communicate with potential customers;
• Increase marketing/sales funnel metrics;
• Ensure high customer retention and satisfaction rate.

Working conditions:

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

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

Our Customer:

A fast-growing international technology company focused on building scalable digital platforms that improve everyday experiences for millions of users worldwide. The team operates in a high-load, cloud-native environment, emphasizing reliability, performance, and continuous innovation.

Your tasks:

• Design and develop platform-level solutions using Go and Python
• Drive and evolve observability practices across systems (logs, metrics, tracing)
• Investigate and resolve issues in distributed production environments
• Build and maintain monitoring, alerting, and telemetry infrastructure
• Implement proactive performance and saturation metrics using PromQL, SQL, and Lucene
• Work with Infrastructure as Code tools such as Terraform, Terragrunt, and CloudFormation
• Automate CI/CD and operational workflows using GitLab, Jenkins, Bash, Python, and AWS services
• Lead and coordinate cross-team technical initiatives
• Create scalable solutions without fully predefined requirements, taking ownership of design decisions

Required experience and skills:

• 7+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles
• Strong programming background with at least two languages (Go, Python, Java, C, or JavaScript)
• Solid understanding of observability concepts and modern monitoring approaches
• Hands-on experience with AWS, including networking and architecture
• Deep understanding of distributed systems and production troubleshooting
• Experience with Kubernetes and container orchestration concepts
• Familiarity with OpenTelemetry and tools like Grafana
• Experience working with Prometheus, Elasticsearch, and VictoriaMetrics
• Knowledge of the software development lifecycle and Test Driven Development practices
• Strong analytical thinking and data-driven decision-making mindset
• Ability to work independently and manage priorities effectively
• Upper-intermediate or higher English (C1)

Would be a plus:

• Experience with GitOps practices and tools such as Argo CD
• Background in building internal platforms or developer tooling
• Experience in high-scale or performance-critical environments
• Strong system design and architectural skills
• Proven ability to simplify complex problems and deliver practical solutions

Our Customer:

Our client is a global technology group operating multiple performance-driven marketing platforms. Their products rely on advanced data analysis and experimentation to continuously optimize large-scale systems, improve traffic quality, and maximize return on investment. The team focuses on building data-informed strategies to enhance decision-making across product and machine learning domains.

Your tasks:

• Investigate system performance and campaign behavior to uncover inefficiencies and growth opportunities
• Develop and maintain meaningful metrics to evaluate pricing, traffic allocation, and overall system health
• Support experimentation processes by preparing data, validating results, and ensuring consistency in test conditions
• Analyze A/B tests and translate outcomes into clear business and product insights
• Explore datasets to detect anomalies, data inconsistencies, and hidden patterns
• Contribute to building datasets and signals that can be used for further modeling and optimization
• Collaborate with cross-functional teams (Data Science, Machine Learning, Product) to align analytical findings with business goals
• Provide actionable recommendations to improve targeting, budget allocation, and system efficiency

Required experience and skills:

• 5+ years of experience in a data-focused role (Data Analyst or similar)
• Mandatory hands-on experience in the AdTech industry
• Degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics
• Strong knowledge of statistics, including hypothesis testing and experimental design
• Proven experience with A/B testing and performance analysis in production environments
• Ability to work with large-scale datasets and identify performance bottlenecks and optimization opportunities
• Strong analytical thinking with the ability to break down complex system behavior into actionable insights
• Experience presenting data-driven findings to both technical and non-technical stakeholders
• Ability to operate in ambiguous environments and independently drive analysis

Would be a plus:

• Familiarity with auction-based systems, bidding strategies, or pricing optimization
• Exposure to fraud detection, traffic quality analysis, or anomaly detection
• Experience building dashboards or internal analytical tools

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.