ABOUT ME · KYRYLO KALUGIN · HE/HIM

Engineering & Technology Delivery Leader

Leading technology programmes from architecture and investment decisions through delivery to stable production.

I combine technical leadership with programme ownership, including architecture governance, delivery governance, financial and resource signals, and executive stakeholder communication. Current production engineering in Java/Spring and TypeScript keeps my decisions grounded in architecture, APIs, data, quality, CI/CD, and production behaviour.

Largest organisation led: 100+ FTE
Peak delivery portfolio: 28 projects
Portfolio projects recovered: 17 of 18
Current engineering: 20-30 h/wk

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Professional perspectives

Leadership grounded in engineering and delivery

Engineering Management Program Management Solution Architecture

Engineering Management

Build capable engineering organisations with clear expectations, healthy delivery practices, and accountable technical leadership.

108 FTE — Deutsche Bank programme organisation
26 — first-line HR reports
10 + 7 FTE — formally managed Refinitiv Scrum teams
People management through 2025

Led a Deutsche Bank technology programme of up to 108 FTE across seven projects, including 26 first-line HR reports and additional teams managed through Project Managers and Engineering Leads.

At Refinitiv, formally managed two Scrum teams of 10 and 7 FTE and separately served as Resource Manager for a seven-person cohort of Project Managers and Scrum Masters.

At LSEG, reduced production incidents from approximately weekly before migration completion to two over the following six months through quality gates, release controls, observability, and clearer ownership.

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Program Management

Lead complex software programmes through uncertainty, dependencies, technical constraints, governance, and production operations—with the technical fluency to investigate assumptions directly.

28 projects — peak LSEG portfolio
17 / 18 — RED projects restored to GREEN
22 stakeholder groups
~80% — reporting effort reduction through delivery intelligence

At LSEG, led recovery plans that moved 17 of 18 RED-status projects to GREEN by redesigning governance, clarifying ownership and dependencies, escalating risks earlier, and establishing a common delivery cadence.

At LSEG, turned budget, resource, risk, and delivery information into cross-system visibility for portfolio decisions, resource trade-offs, and escalation.

Built a TypeScript/JavaScript delivery-intelligence platform using Clarity PPM and API/export data, consolidating budget, resource, risk, and delivery signals into automated real-time dashboards and reducing recurring manual reporting by approximately 80%.

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Solution Architecture

Translate business and operational needs into application, integration, and delivery designs that can be built and sustained.

AWS cloud/data-platform migration experience
SOAP/REST to asynchronous messaging and event-driven trade-offs
Current end-to-end ownership of independently operated production platforms
Java/Spring and TypeScript/Node.js current engineering

Led technical trade-off work at Refinitiv to move tightly coupled SOAP/REST integrations toward asynchronous AWS messaging and event-driven patterns, improving decoupling and release independence.

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Fluency in AI-Native Software Development

Engineering leadership in an AI-accelerated SDLC

AI can make implementation dramatically faster. It does not remove the need for engineering judgment — it makes clear requirements, architecture, delivery boundaries, and quality gates more important.

My experience spans the full software-delivery chain: business analysis, hands-on development, engineering quality, program and financial governance, and product and stakeholder collaboration. That breadth helps me translate business goals into requirements engineers can implement, structure delivery into verifiable stages, establish appropriate quality gates, and communicate technical trade-offs in business terms. In AI-assisted and agentic development environments, I see this end-to-end perspective as increasingly important: faster code generation only creates value when the problem, constraints, validation, and production ownership are equally clear.

My Core Principles

Clarity and transparency

Make ownership, decisions, risks, and trade-offs legible to the people who need to act on them.

Disciplined execution

Turn intent into sequenced work, accountable milestones, and dependable operational follow-through.

Accountable ownership

Own the outcome from problem framing and technical choices through release and production learning.

Evidence with context

Use measures to explain what changed, for whom, and under which constraints—not as decoration.

Thoughtful collaboration

Bring engineering, product, operations, and stakeholders to decisions with clear roles and respect.

Continuous improvement

Strengthen systems, teams, and delivery practices through feedback, review, and practical learning.

Selected evidence

Featured case studies

LSEG

Portfolio recovery through clearer delivery governance

Context: A market-data migration expanded into a portfolio with multiple stakeholder groups and delivery dependencies.

Responsibility: Led the delivery-governance response, making owners, decisions, risks, and escalation paths explicit.

Action: Redesigned governance, removed blockers, established a common cadence, and used concise evidence for executive realignment.

Outcome: 17 of 18 RED-status projects moved to GREEN.

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Refinitiv / Thomson Reuters

Architecture trade-offs translated into delivery

Context: A mission-critical market-data environment was undergoing cloud and integration transformation.

Responsibility: Combined formal people management with software-delivery leadership and technical design collaboration.

Action: Led trade-off work from tightly coupled integrations toward asynchronous AWS messaging and event-driven patterns.

Outcome: Improved decoupling and release independence while maintaining delivery and operational accountability.

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Current practice

Independent projects

NWH

Independently owned ERP, integration, and analytics platform for a distribution business and its retail-partner connections.

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RaceMetrica

Independent real-time athlete timing, tracking, and event-analytics platform piloted with limited access at more than ten events.

View project

Beyond work

Leadership beyond work

The same habits that support effective engineering leadership—learning, mentoring, disciplined practice, and sustainable performance—also shape my work outside formal roles.

Technical speaking and community practice

I share practical technical knowledge and build communities that help people develop beyond their immediate delivery work.

Presented technical sessions on high-traffic web-platform optimisation at OSCE-sponsored community events, covering NGINX reverse-proxy architecture, Java web-platform performance, and WordPress at scale.
Co-designed a company-wide Communities of Practice framework through the Luxoft High Performers Club, creating a structured model for knowledge sharing and professional development.
Founded and led an EPAM employee running community, organising training and preparing colleagues for competitive events across Ukraine.

Sports achievements and coaching

Endurance sport and coaching reinforce the leadership habits I use at work: long-term planning, objective measurement, regular feedback, resilience under pressure, and sustainable development.

Placed third in the 2025 Turkish National Triathlon Cup and am a licensed competitive triathlete and Ironman 70.3 finisher.
Certified World Triathlon Community Coach, leading youth triathlon activities through structured goals, individual development plans, safety, feedback, and progressive performance improvement.
Built and operate RaceMetrica, a real-time athlete timing, tracking, and event-analytics platform tested at live events with unreliable mobile connectivity.

Professional qualifications

My formal background combines computer science, delivery leadership, cloud foundations, and current AI learning.

Master's degree in Computer Science, National Aviation University, Kyiv, Ukraine (2004).
Databricks Academy Accreditation in Generative AI Fundamentals and Microsoft Certified: Azure Fundamentals.
AWS Certified Solutions Architect – Associate and PMP® are being renewed; PMI-ACP® expired in 2026 and the PMI-CPMAI™ examination is scheduled for September 2026.

Languages and international work

I have worked across international teams and communicate comfortably with technical, business, and operational stakeholders.

English — fluent/full professional proficiency; IELTS 8.0 (2021) and Cambridge Certificate in Advanced English (CAE, 2001).
Ukrainian — native; Russian — fluent; German — elementary; Turkish — limited working proficiency.