Managed a product line of services supporting 3,000+ internal software engineers, C-level executives, and Board members. Duties: ● Oversaw 30+ software engineers across 5 cross-functional teams, initially managing directly and later with sub-managers. ● Developed Python microservices, designed software architecture, directed product planning & decision-making. Fostered contributions to Python and DevOps communities. ● Conducted code reviews and established coding and quality standards. ● Managed team performance, including conducting 1-to-1s, setting goals, and coordinating promotions. ● Mentored and coached team members, supporting their professional growth and skill advancement. ● Led interviewing and recruitment processes for team expansion. ● Facilitated demos and SCRUM events to ensure smooth project execution. Achievements: ● Launched multiple internal products. ● Implemented system design best practices such as hexagonal microservice architecture and event sourcing. ● Built 5 teams from the ground up, transforming them into fully functional product teams. ● Championed agile methodologies, achieving 100% adoption of SCRUM within teams.

Projects: ● The Critical Event Management Platform: delivered solutions for 50,000+ customers globally. ● High-load System for FedEx Shipments: designed and implemented a high-load system for tracking and managing all FedEx shipments between the USA and Canada. ● Software Migration: led the migration of legacy systems written in RPG and COBOL to modern Python. Duties: ● Managed per-project teams of 4-8 engineers, ensuring on-time delivery and adherence to high-quality standards. ● Developed Python microservices using REST API and the API-first approach. Implemented unit, integration, and end-to-end tests. ● Gathered requirements from internal and external customers, conducted demos, and developed proof-of-concepts (PoC). Conducted business analysis, collaborated with customers, and clarified functional and system requirements. ● Coordinated team efforts by estimating development tasks and distributing them based on team members’ qualifications and workload. ● Contributed to HR operations: conducted interviews, recruited new team members, and facilitated regular one-on-one meetings. ● Researched market solutions for software migration and liaised with the sales department. Achievements: ● Developed a high-load FedEx system capable of handling thousands of transactions per minute with high concurrency, supporting hundreds of simultaneous users. ● Designed and implemented a change data capture solution using SQL triggers and IBM i data queues. ● Trained team members and other stakeholders in hexagonal microservice architecture.

Developed the core banking system based on Misys product, a widely adopted corporate banking solution with over 300 global installations. Duties: ● Engineered cash management operations, credit and deposit operations, and SWIFT messaging infrastructure for the core banking system, handling billions in daily transactions and providing seamless international banking services to several million customers. ● Organized and led regular code reviews, and provided training and supervision for junior developers. ● Managed the release process by defining feature sets, coordinating with stakeholders, and performing detailed release planning. Achievements: ● Developed a C++ ORM library for IBM i files (PF, LF, DSPF, PRTF), enhancing software development efficiency by up to 75%. ● Designed and implemented two RPG code testing methodologies using JUnit and Google C++ Testing Framework, significantly improving testing accuracy and coverage. ● Configured and optimized CI/CD pipelines, improving deployment efficiency and system reliability.

Project: ● Trading platform infrastructure supporting multi-exchange market data, risk safeguards, analytics, and capital management for systematic crypto trading. Duties: ● Development and maintenance of backend services, shared libraries, and data pipelines within a multi-exchange trading platform. ● Design and implementation of Kafka-based data ingestion and ClickHouse-backed analytics pipelines. ● Development of market-data, funding, and transfer infrastructure for centralized crypto exchanges. ● Refactoring and extraction of legacy components into standalone services with modern CI/CD and Kubernetes-based deployments. ● Implementation and support of event-driven services using Kafka, including real-time WebSocket delivery. ● Operational support of production systems, including on-call participation, incident investigation, and reliability improvements. ● Collaboration with traders, quants, and infrastructure engineers to clarify data semantics, correctness requirements, and operational constraints. Achievements: ● Expanded the Kafka to ClickHouse analytics platform, making critical trading datasets (theos, strategies, symbology, RFQs, positions, exposures, orders, funding prices and fees) historically queryable for backtesting and P&L analysis. ● Corrected subtle but high-impact issues in timestamp semantics, schemas, and ingestion logic, significantly improving trust in analytical outputs used for trading decisions. ● Delivered market-data and funding integrations for multiple exchanges (Binance, Huobi, Kraken, Hyperliquid), handling exchange-specific semantics, rate limits, and payload constraints. ● Extracted and rebuilt multiple services from a legacy monolith into independently deployable, observable systems with Helm-based deployments and GitOps workflows. ● Designed and implemented a Strategies Safeguards service from scratch as a standalone, event-driven system with Kafka compaction, real-time WebSocket updates, and full production observability. ● Replaced manual operational processes with automated safety and audit workflows (pair discovery, configuration validation, quota monitoring, production checks), reducing operational risk. ● Diagnosed and resolved critical performance and reliability issues (memory leaks, CPU hot paths, async scheduling bugs, socket handling), improving platform stability in production. ● Improved transfer and balancing functionality across exchanges, increasing capital mobility and operational resilience.