Teamlead Backend-розробник

Project Marketplace WMS platform supporting the full warehouse lifecycle, including goods receiving, inventory reservation, warehouse operations, inventory movement auditing, order fulfillment, and delivery preparation. Responsibilities
 - Led a cross-functional engineering team consisting of backend engineers, frontend engineer, QA engineer, and business analyst;
 - Conducted one-on-one meetings, performance reviews, code reviews, and engineering mentoring activities; - Participated in team growth planning and hiring strategy discussions;
 - Owned technical direction of the WMS platform and coordinated engineering decisions with business and product stakeholders;
 - Introduced Domain-Driven Design (DDD) principles to improve maintainability and scalability of the platform;
 - Planned releases and coordinated delivery activities across teams; - Managed technical risks and supported team stability during organizational challenges;
 - Designed and evolved services responsible for inventory reservation, warehouse operations, and inventory movement tracking;
 - Optimized synchronization and data update workflows between B2B and B2C platform domains;
 - Implemented idempotent processing mechanisms to ensure consistency of critical warehouse operations. Key Achievements
 - Introduced Domain-Driven Design practices, improving domain model maintainability and long-term platform scalability;
 - Implemented idempotent processing for critical inventory and reservation workflows;
 - Improved performance of inventory synchronization and reservation update processes across B2B and B2C systems;
 - Designed architectural solutions for inventory movement auditing and warehouse operation traceability;
 - Maintained team stability and retained key engineers during organizational challenges;
 - Improved release planning and collaboration processes between engineering and business stakeholders. Technologies
 C#, .NET 8, ASP.NET Core, PostgreSQL, Kafka, Redis, Kubernetes, Helm, Docker, Entity Framework Core, Domain-Driven Design (DDD), Microservices, Event-Driven Architecture, WMS, CI/CD.

Project
 Healthcare SaaS platform for automated patient notifications, personal data processing, and communication management between healthcare providers and patients. Responsibilities
 - Led a distributed team of 11 engineers, including internal developers and external contractors;
 - Owned technical delivery, architecture planning, and coordination with client stakeholders;
 - Defined technical roadmap, engineering standards, and backend development practices;
 - Designed and implemented a scalable microservices architecture supporting high availability and growth;
 - Led migration initiatives from MySQL to PostgreSQL;
 - Established CI/CD pipelines, deployment automation, and centralized observability practices;
 - Ensured GDPR compliance and secure processing of healthcare-related personal data;
 - Conducted code reviews, mentoring, and engineering capability development;
 - Participated in building the client-side product engineering organization and improving Agile delivery processes. Key Achievements
 - Increased feature delivery speed by 30% through adoption of a microservices architecture and engineering process improvements; - Reduced reporting query execution times by 40% through database migration and performance optimization;
 - Reduced incident diagnosis time by 50% through implementation of centralized monitoring and observability;
 - Lowered Kubernetes infrastructure costs by 35%;
- Accelerated release cycles by 40% through CI/CD automation and Helm-based deployments;
 - Reduced production defect rates by 35% through mentoring, code quality initiatives, and process improvements;
 - Delivered GDPR-compliant healthcare data processing workflows. Technologies
 C#, .NET 8, ASP.NET Core, Entity Framework Core, PostgreSQL, Redis, RabbitMQ, Kubernetes, Helm, Docker, Prometheus, Grafana, GitHub Actions, Swagger/OpenAPI, NUnit, Microservices, CI/CD, Distributed Systems, GDPR.

Project
 Enterprise compensation and employee bonus management platform processing sensitive financial data. Responsibilities
 - Acted as a Senior Software Engineer and Solution Architect for a large-scale financial platform;
 - Designed architecture solutions for secure processing and storage of financial data;
 - Developed distributed services and enterprise integration solutions;
 - Built analytics and statistical data processing services;
 - Contributed to monitoring, auditing, and data quality management initiatives;
 - Optimized reporting and search capabilities across large datasets; - Collaborated with client stakeholders on technical planning and platform evolution. Key Achievements
 - Implemented end-to-end search and data processing workflows using Elasticsearch, reducing query execution times by 30%;
 - Reduced operational errors by 20% and audit effort by 40% through monitoring and audit process improvements;
 - Improved bonus reporting performance by 25–50%;
 - Developed a FastAPI-based statistical processing service delivering a 25x performance increase;
 - Increased metadata processing accuracy and overall data quality by 20%;
 - Designed scalable architecture solutions for enterprise financial workloads. Technologies
 Python, FastAPI, SQLAlchemy, PostgreSQL, Redis, RabbitMQ, gRPC, Elasticsearch, Azure, Kubernetes, ELK Stack, Distributed Systems, Solution Architecture.

Project
 High-load distributed sports betting analytics and fraud detection platform processing tens of thousands of events per second in real time and serving hundreds of thousands of users. Responsibilities
 - Contributed to the architecture and evolution of a high-load real-time distributed platform;
 - Developed .NET 6 backend services for event processing, betting analytics, and fraud detection workflows;
 - Developed and maintained a WPF/DevExpress desktop application used by analysts and operators;
 - Implemented event-driven communication using RabbitMQ and gRPC;
 - Designed scalability and fault-tolerance improvements for Kubernetes-based distributed services;
 - Optimized streaming data pipelines and event aggregation mechanisms;
 - Performed performance analysis and optimization of critical high-load components;
 - Contributed to monitoring, observability, and operational stability initiatives. Key Achievements
 - Reduced analytics processing time by 15% through optimization of event filtering and real-time processing pipelines;
 - Improved fraud detection accuracy by 10% through enhancements in analytical workflows and mathematical models;
 - Reduced service response times by 20% by optimizing event-driven communication and real-time processing components;
 - Integrated mathematical models for sports analytics, improving forecasting accuracy and risk assessment capabilities;
 - Increased platform scalability, enabling stable processing of tens of thousands of events per second under growing workloads. Technologies
 C#, .NET 6, WPF, DevExpress, Entity Framework Core, PostgreSQL, RabbitMQ, Redis, gRPC, Kubernetes, ELK Stack, Distributed Systems, High-Load Systems, Event-Driven Architecture, Real-Time Data Processing.

Project
 Enterprise platform for distribution, monetization, and analytics of datasets, AI models, and Big Data services. Responsibilities
 - Acted as a technical lead for key development initiatives, coordinating engineering activities and supporting delivery execution;
 - Participated in task decomposition, solution design, code reviews, and establishment of engineering standards;
 - Designed and implemented a scalable microservices architecture for a high-load data processing platform;
 - Developed backend services for analytics, data processing, and integration with AI/ML components;
 - Designed storage and processing solutions for large-scale datasets;
 - Implemented inter-service communication and external system integration mechanisms;
 - Contributed to Kubernetes infrastructure design and operational support;
 - Introduced automated testing practices and software quality improvement initiatives. Key Achievements
 - Designed and implemented a Kubernetes-based microservices architecture, reducing deployment time by 20%;
 - Improved query and data processing performance by 15% through optimization of algorithms and data storage structures;
 - Reduced service response times by 20% through architectural improvements and performance tuning;
 - Introduced end-to-end automated testing with more than 80% code coverage, reducing defect rates by 15%;
 - Delivered a scalable AI and Big Data platform capable of supporting enterprise-grade workloads. Technologies
 Python, FastAPI, PostgreSQL, SQLAlchemy, Kafka, Redis, Docker, Kubernetes, Microservices, Distributed Systems, Big Data, CI/CD, Automated Testing.

Project
 Nationwide electronic contract signing platform supporting legally binding digital document workflows and large-scale customer operations. Responsibilities
 - Designed and enhanced the architecture of a large-scale distributed electronic document signing platform;
 - Optimized the company's .NET Core ORM framework and data access layer performance;
 - Developed high-availability and fault-tolerant components for critical business services;
 - Led technical design activities and participated in architecture decision-making processes;
 - Performed service platform modernization and migration initiatives;
 - Developed migration tools for transferring data from Oracle to PostgreSQL while preserving data integrity;
 - Implemented security controls and ensured compliance with enterprise and regulatory requirements;
 - Improved software quality through automated integration and unit testing. Key Achievements
 - Improved data access performance by 15% through ORM and query optimization;
 - Reduced infrastructure and maintenance costs by 20% through platform modernization;
 - Decreased production defects by 40% through implementation of automated testing practices;
 - Successfully delivered large-scale Oracle-to-PostgreSQL migration without business disruption;
 - Designed scalable and fault-tolerant architectural solutions for a nationwide digital signing platform. Technologies
 C#, .NET Core, Entity Framework Core, PostgreSQL, Oracle Database, Docker, Python, SQLAlchemy, Distributed Systems, Data Migration, Unit Testing, Integration Testing.

Project
 Web platform for contract management and workload monitoring of field installation teams. Responsibilities
 - Developed and maintained business-critical web applications for contract lifecycle management;
 - Resolved security vulnerabilities and enhanced authentication and data protection mechanisms;
 - Implemented new business functionality and contributed to system architecture improvements;
 - Participated in optimization of business workflows and data processing operations;
 - Developed technical documentation and testing procedures;
 - Contributed to system performance analysis and optimization activities. Key Achievements
 - Improved platform security by addressing critical vulnerabilities and strengthening data protection mechanisms;
 - Increased monitoring system performance by 15% through architectural improvements;
 - Reduced processing time by 20% through algorithm optimization;
 - Improved software quality by introducing testing and documentation standards;
 - Increased operational efficiency of B2C processes by 10%. Technologies
 C#, .NET Framework, ASP.NET MVC, Oracle Database, AJAX, Bootstrap, SQL, Enterprise Web Applications.

Project
 Nomerogram — a mobile application for searching vehicle history, photographs, and related information using license plate numbers. Responsibilities
 - Defined product vision, strategy, and roadmap aligned with business objectives;
 - Managed OKRs, quarterly planning, and prioritization of product initiatives;
 - Coordinated cross-functional teams including engineering, analytics, design, and QA;
 - Owned product backlog management, release planning, and feature delivery processes;
 - Analyzed user behavior and product metrics to drive data-informed decisions;
 - Led UX/UI research activities and product hypothesis validation;
 - Facilitated Agile product development processes and stakeholder communication;
 - Worked closely with analytics and monitoring platforms to measure product performance and user engagement. Key Achievements
 - Increased user engagement by 20% through execution of product strategy and roadmap initiatives;
 - Improved user satisfaction by 15% through enhancement of user journeys and UX improvements;
 - Accelerated feature delivery by 10% through implementation of OKR-driven planning processes;
 - Increased team productivity by 15% through backlog optimization and improved prioritization practices;
 - Expanded data collection capabilities, improving analytics coverage and quality by 25%;
 - Improved user retention and conversion metrics by 10% through product research and experimentation initiatives. Technologies
 Product Management, Agile, Scrum, OKR, Product Analytics, Firebase, ClickHouse, Grafana, UX Research, A/B Testing, Data-Driven Product Development.

Project Development of a software prototype for modeling and calculating operational characteristics of offshore oil and gas platforms operating in Arctic and Far North environments. Responsibilities - Participated in the architecture design of an engineering calculation platform for risk assessment and structural analysis;
 - Developed calculation algorithms for offshore platform topside structures considering geological and environmental constraints;
 - Implemented risk assessment algorithms for seabed impact analysis and operational safety evaluation;
 - Optimized computational models and data processing workflows to improve calculation performance;
 - Developed data integration mechanisms for aggregating geological and equipment data from enterprise systems;
 - Collaborated with geologists, engineers, and domain experts to validate business requirements and calculation models;
 - Participated in project demonstrations, knowledge transfer, and solution acceptance by the customer. Key Achievements
 - Reduced initial engineering design effort by 20% through architectural improvements and automation of calculation workflows;
 - Improved calculation accuracy by 15–20% through development and refinement of engineering algorithms;
 - Increased processing performance by 25%, reducing feasibility study preparation time by 30%;
 - Improved enterprise data integration efficiency by 25% through automation of data aggregation processes;
 - Successfully delivered and defended the prototype solution, contributing to continued project funding and development. Technologies
 C#, .NET Framework, WPF, Dapper, PostgreSQL, Python, SQLAlchemy, IIS, Algorithm Development, Data Integration, Engineering Software, Desktop Applications.