Maksim Chakur

Development of applications for integration with electronic shelf labels (ESL), focused on dynamic markdown generation, event-driven processing, and consumer notifications.

Tech Stack: Kotlin, Spring Boot, Apache Kafka, Mongo Atlas, Docker, Kubernetes, Azure Services, Terraform, Gatling, GitHub Actions, Maven, Grafana, GitHub Copilot

Key Contributions

• Onboarded new microservices across the full SDLC lifecycle (design → production) to support new discount-processing scenarios
• Designed and implemented a Chain of Responsibility-based filtering pipeline to improve processing flexibility and candidate validation logic
• Simulated peak-season load using Gatling and resolved performance bottlenecks through infrastructure scaling, MongoDB cluster tuning, and index optimization - successfully passed peak-load validation
• Reviewed and optimized component and integration test suites by eliminating redundant Testcontainers-based tests and consolidating scenarios, reducing CI verify-stage execution time
• Diagnosed and resolved Terraform pipeline failures in GitHub Actions caused by outdated IaC repositories, restoring CI/CD stability
• Acted as Scrum Master for the team: facilitated stand-ups, backlog refinement sessions, requirements clarification, and task definition

Developed backend applications integrated with third-party systems, including Reverse Vending Machine (RVM) providers, focused on collecting, storing, aggregating, and reporting deposit-related data. Contributed to the development of a source-of-truth service for in-store equipment management (Service Points) and supported initiatives related to operational data processing and reporting.

Tech Stack: Kotlin, Spring Boot, Apache Kafka, ActiveMQ, WebMethods, Cosmos DB (MongoDB API), Mongo Atlas, Docker, Kubernetes, Azure Services, GitHub Actions, Maven

Key Contributions

• Led full-scope API v2.0 migration involving breaking changes across authentication flows, DTO models, URLs, and request parameters — successfully delivered without production data loss
• Onboarded new microservices exposing Consumer Sessions data to support additional business tracking and reporting requirements
• Migrated custom metrics to the Spring Boot 3 Observability API and configured Azure Workbooks, dashboards, and alerting for production monitoring and operational visibility
• Resolved critical SLA-impacting performance bottleneck in Request Handler processing by redesigning aggregation logic and optimizing database queries — reduced response time from 2+ minutes to within 30-second SLA requirements
• Designed and implemented an internal scheduling framework for reliable asynchronous job execution
• Built a reusable Spring Boot starter for correlation-id / x-transaction-id propagation, enabling end-to-end request tracing across distributed microservices
• Integrated backend services with Azure APIM and configured inbound policies for API consumer version routing
• Led PoC development and technical investigations to evaluate architectural improvements and new implementation approaches
• Mentored junior engineers and supported engineering best practices within the team

Maintained and extended microservices for trade item and master data management, including product attributes, classification data, and integration flows. Worked in both Kanban and Scrum delivery environments, contributing to the development of distributed backend services supporting assortment and operational data processing.

Tech Stack: Java, Kotlin, Spring Boot, JMS, ActiveMQ, WebMethods, MongoDB, Oracle DB, Docker, Azure Services, Jenkins, Kibana, Grafana, Maven

Key Contributions

• Resolved pagination latency and data consistency issues in a MongoDB-backed microservice by replacing offset-based pagination with a continuation token approach, achieving stable query performance regardless of dataset size
• Migrated application data to a new Azure Cosmos DB version using Azure Data Factory
• Developed a microservice for scheduled collection and exposure of operational Gauge metrics sourced from Oracle DB entities
• Configured Azure Application Insights alerts and implemented Azure Logic App integrations for automated operational notifications in Microsoft Teams
• Integrated backend services with WebMethods messaging infrastructure by implementing JMS listeners
• Consolidated two overlapping microservices into a unified service, simplifying maintenance and reducing service duplication

Contributed to the development of an internal web application for Gift Certificate management, participating in backend and frontend feature implementation within a team environment.

Tech Stack: Java, Spring Framework, PostgreSQL, ReactJS, Gradle

Key Contributions

• Developed application features for internal Gift Certificate management workflows
• Contributed to backend service implementation and database interaction logic using Java and PostgreSQL
• Participated in frontend development tasks using ReactJS

Completed a software engineering internship focused on backend development fundamentals, real-time communication, and network programming concepts.

Tech Stack: Java, JavaScript, Swagger

Key Contributions

• Built a real-time chat application using Java Sockets and WebSockets as part of hands-on backend development training
• Gained practical experience with network communication, client-server interaction, and API design fundamentals
• Contributed to application feature implementation using Java and JavaScript