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Irina Pushkina

CTO / VP Engineering — Scaling SaaS Platforms (Multi-tenant, AI in production)

About Me

CTO / VP Engineering operator for scaling SaaS platforms. Led growth from ~40 to ~70 engineers on a multi-tenant SaaS serving 1M+ users, while improving reliability, evolving platform architecture, and bringing AI into production. Strongest where growth has exposed friction between engineering, product, delivery, and architecture — and where someone needs to run all of it together under real operational pressure.

Jurisdiction

Netherlands | United Kingdom | Germany | Belgium

Notable Employer

  • Director of Technology Engineering, Lab271 at Schuberg Philis
  • Lead Software Engineer / Architect / Technical Consultant at Capgemini Engineering
  • Software Design Engineer at ASML

Experience

Seniority LevelExecutive
Years of Experience20+ years
Current StatusActive
Founder & Technology AdvisorDesigned in Flow
2025 - Present

Selective technology leadership and due diligence work between operating roles, focused on SaaS platform scaling, AI adoption in production, and architecture decision-making. Actively pursuing a long-term CTO or VP Engineering operating role. * Technology due diligence and architecture assessments for scaling SaaS platforms. * Advisory on platform scaling, AI adoption in production, and engineering organisation decisions under growth pressure.

Chief Technology Officer (CTO)Dyflexis
2024 - 2025

CTO of a multi-tenant SaaS workforce management platform serving 5,000+ customers and 1M+ users across Europe in regulated environments. Owned platform architecture, engineering organisation, AI strategy, reliability, and compliance during ~40% YoY growth. * Scaled engineering organisation from ~40 to ~70 across product, platform, and infrastructure teams while maintaining delivery continuity through rapid growth. * Reduced incident resolution time (MTTR) by ~70–85% and significantly reduced major production incidents through observability, reliability engineering, and clearer ownership boundaries. * Drove platform evolution from monolith toward modular cloud architecture, including migrations across 5,000+ customer databases without disrupting delivery. * Set the AI direction for the company and shipped AI-driven workforce forecasting into production, including ML pipelines and operational AI capabilities. * Translated platform investments into business cases for CFO/CCO leadership, including a targeted €400K refactor that delivered ~€2.5M annualised value within the year. * Operated under GDPR, ISO 27001, and SOC 2 requirements while supporting enterprise customer growth across European markets.

Director of Technology Engineering, Lab271NotableSchuberg Philis
2020 - 2023

Executive-level technology leadership in mission-critical environments across energy, infrastructure, and aviation, where technology decisions had immediate operational and commercial impact. * Co-created and led SYNERTA, an AI-driven simulation platform for executive decision-making, deployed with enterprise clients including Enexis and PostNL. * Managed technology initiatives across AI, simulation, automation, and operational resilience, moving capabilities from concept into production environments. * Led executive resilience exercises covering ransomware and infrastructure-failure scenarios to improve operational readiness under pressure. * Contributed to enterprise security and technology governance initiatives in collaboration with Gartner and senior leadership stakeholders.

Lead Software Engineer / Architect / Technical ConsultantNotableCapgemini Engineering
2013 - 2020

Progressed from senior engineering through architecture and technical consulting roles across complex industrial and enterprise systems. * Delivered large-scale systems for enterprise clients including SKF, Volvo Cars, Baker Hughes, and Technip. * Acted as Product Owner and technical lead for Quantum Inspire, one of Europe’s first public quantum computing platforms. * Led multiple R&D initiatives across AI/ML, HPC, simulation, and industrial software systems. * Introduced AI/ML capabilities into industrial simulation and predictive maintenance environments.

Software Design EngineerNotableASML
2011 - 2013

Mission-critical software engineering in EUV lithography systems, where reliability, precision, and operational continuity were non-negotiable. * Developed high-performance embedded software for EUV lithography systems. * Improved diagnostics and recovery mechanisms in production environments. * Contributed to architecture decisions balancing performance, precision, and reliability constraints.

Scientific Programmer & Postdoctoral ResearcherNIKHEF / UTRECHT UNIVERSITY
2006 - 2011

Distributed systems and high-performance computing for large-scale scientific simulations in particle physics research. * Built distributed simulation systems across multi-node HPC clusters. * Developed Monte Carlo simulation frameworks and scalable data-processing pipelines. * Improved large-scale simulation performance by ~70% and contributed to peer-reviewed scientific publications.

Education

Doctorate of Computational High-Energy Physics using Monte Carlo simulationsHiroshima University
2002 - 2005
Masters of Computational High-Energy Physics using Monte Carlo simulationsHiroshima University
2000 - 2002
Masters of Computational Theoretical Physics using numerical simulationsNational University of Uzbekistan
1994 - 1999

Certification

Total Certifications4

Digital MBA for Technology Leaders

CTO Academy

2024

Credential ID: 1736342216351x102019086038900080

Certified Ethical Hacker (CEH)

Global Knowledge

2018

IBM Applied AI Professional Certificate

Coursera

2023

TUFF Leadership Training

TUFF

2022

Skills

Core skills0
Languages4

Languages

English
Dutch
Russian
Japanese