ITRex Group

• Design, develop, and deploy machine learning models for predictive analytics, classification, NLP, and other data-driven tasks • Implement data pipelines for ingestion, preprocessing, feature engineering, and model training • Containerize ML models and applications using Docker for scalable and reproducible deployments • Deploy and maintain ML solutions in cloud environments (AWS/Snowflake) • Optimize model performance, latency, and resource utilization for real-time or batch inference • Monitor and troubleshoot ML models in production, ensuring reliability and robustness • Сollaborate with Product, Engineering, Data, and business stakeholders to define project requirements and integrate ML models into production systems • Conduct rigorous model evaluation using appropriate metrics to ensure performance and fairness • Assess whether machine learning is necessary for a given problem or if alternative rule-based/statistical approaches are more appropriate

• Collaborate with cross-functional teams to deliver solutions effectively. • Design and implement APIs and services. • Develop and maintain high-quality software using .NET. • Develop and optimize UI with Angular. • Ensure system reliability and optimize performance. • Participate actively in code reviews, testing, and debugging.

Role Description - Collaborate with cross-functional teams to deliver solutions effectively. - Design and implement APIs and services. - Develop and maintain high-quality software using .NET. - Develop and optimize UI with Angular. - Ensure system reliability and optimize performance. - Participate actively in code reviews, testing, and debugging. Qualifications - 5+ years of experience with .NET - 3+ years of experience with Angular and Typescript - Proficiency in C#, OOP principles, and design patterns - Experience with relational databases: PostgreSQL or MSSQL - Strong communication and problem-solving skills - Understanding of different architectural approaches - Upper-Intermediate English language proficiency Requirements - Nice-to-have: - Experience with Dapper - Experience with AWS (ELB, ECS, Elasticache, S3, CloudWatch, Cloudfront, Route 53, Lambda) - Experience developing high-load and scalable systems - Experience working with SaaS products Benefits - Remote flexibility: Work where and how you work best - we trust you to deliver - Fair compensation: Competitive salary + benefits that matter (medical, wellness, learning) - Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety - AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them - Learning investment: English classes, professional development, well-being support - Career progression: Real paths up, not just sideways shuffling - Responsive teammates: No ignored Slacks, no "not my problem" attitudes - Supportive culture: When you're stuck, people help. When things break, we fix them together - Human connections: Regular meetups, tech talks, and actual relationships beyond work

• Design and maintain modular data models using dbt across staging, intermediate, and marts layers • Develop performant SQL transformations that support scalable analytical workflows • Build reusable and well-documented data assets for business consumption • Implement data quality checks and custom tests to improve trust in analytical outputs • Collaborate with stakeholders to define technical requirements from business needs • Maintain clear documentation for analytical models and business logic • Participate in peer reviews and maintain clean version control practices • Support metric consistency and standardization across reporting environments • Investigate data anomalies and trace issues to root causes across upstream systems • Deliver analytical assets that serve as a trusted foundation for reporting and decision-making

• Partner with business teams to understand analytical needs and translate them into structured data solutions • Develop and maintain reporting logic, dashboards, and analytical assets that support business decision-making • Perform advanced SQL analysis to uncover trends, anomalies, and business opportunities • Build and improve analytical models and data products for specific business initiatives • Create clear analytical narratives and present findings to non-technical stakeholders • Contribute to improving reporting consistency and maintaining trusted data definitions across systems • Support data preparation for reporting, analytics, and decision-making workflows • Document analytical assets, business definitions, and usage guidance for internal stakeholders • Collaborate with technical and business teams to improve analytical processes and data quality • Contribute to a data-driven culture by promoting practical use of analytics in everyday decisions

• Perform manual testing of mobile, desktop, web applications, and APIs (REST, GraphQL) • Design, execute, and maintain comprehensive Test Documentation • Use AI tools as part of the QA toolkit to enhance test coverage and efficiency • Collaborate closely with developers, product managers, and stakeholders to ensure product quality • Define and establish QA processes and best practices for new projects • Act as the sole QA when required, owning the end-to-end testing process • Contribute as part of a QA team, ensuring alignment with shared goals and standards • Work with product requirements together with the team during backlog refinement • Participate in Agile ceremonies and provide input on quality-related risks

• Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery • Implement and enforce test-driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles • Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments • Oversee the build, packaging, and publishing lifecycle for JavaScript, TypeScript, and C++ packages, including versioning, semantic tagging, and NPM or internal registry publication • Develop and maintain cross-platform build pipelines using CMake, NPM or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile • Automate end-to-end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications • Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments • Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability • Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a skilled Senior Build & Release Engineer, who will implement and maintain end-to-end CI/CD pipelines using GitHub, with a strong focus on test-driven deployment, automated release management, and Infrastructure as Code (IaC) practices. - Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery. - Implement and enforce test-driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles. - Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments. - Oversee the build, packaging, and publishing lifecycle for JavaScript, TypeScript, and C++ packages, including versioning, semantic tagging, and NPM or internal registry publication. - Develop and maintain cross-platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile. - Automate end-to-end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications. - Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments. - Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability. - Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence. Qualifications - 5+ years of hands-on experience in a DevOps, CI/CD, or Release Engineering role. - Strong knowledge of AWS cloud, Infrastructure as Code (IaC), shell scripting. - Knowledge of Docker, including image creation, registry management, and basic orchestration patterns. - Coding experience, especially in C++, JavaScript, and TypeScript. - Hands-on experience with compilation and publishing workflows for JavaScript, TypeScript, and C++ packages. - Proven experience in designing, architecting, and maintaining CI/CD pipelines, preferably using GitHub Actions (or similar tools). - Experience with cross-platform build and release automation (web, desktop, and mobile). - Experience in automating tagging, versioning, signing, and artifact distribution processes. - Experience managing Release workflows across web, desktop, and mobile, for cloud and on-premise systems. - Ability to design robust multi-language build pipelines leveraging CMake or similar build tools. - Experience in integration of automated testing, validation, and monitoring. - English level: B2 or higher. Requirements - Deep understanding of C++ build systems, especially CMake. - Experience building and supporting AI/ML pipelines (training and deploying models) using PyTorch or TensorFlow. - Strong Linux system administration and networking skills. - Experience setting up monitoring and alerting systems. - Familiarity with tools like Prometheus, Grafana, or ELK for CI/CD processes tracking. - Background in secure environments like fintech, blockchain, or distributed systems. - Knowledge of other clouds like GCP or Azure. Benefits - Remote flexibility: Work where and how you work best - we trust you to deliver. - Fair compensation: Competitive salary + benefits that matter (medical, learning). - Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety. - AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them. - Learning investment: English classes, professional development. - Career progression: Real paths up, not just sideways shuffling. - Responsive teammates: No ignored Slacks, no "not my problem" attitudes. - Supportive culture: When you're stuck, people help. When things break, we fix them together. - Human connections: Regular meetups, tech talks, and actual relationships beyond work.