Alex Cherednychenko
Engineering Manager Tech Lead @Enso Connect
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WORK HISTORY
Engineering Manager Tech Lead @Enso Connect
Toronto, ON, CA
Lead a team of 5–6 engineers at a high-growth, global guest experience platform, serving millions of guests daily. Operate a production-grade, heavily integrated backend used by hundreds of customers, while shaping team processes, culture, and delivery practices across the engineering org.Key achievements:• Led a team of 5–6 engineers, shaping team culture, performance, and delivery processes while maintaining hands-on ownership of a production-grade backend and integrations.• Built and scaled the engineering hiring pipeline, expanding sourcing to Latin America and establishing scalable practices that significantly raised team performance, ownership, and delivery quality.• Owned critical backend and integrations in Python on AWS (serverless-first) across 15+ external systems, ensuring reliability and operational stability for millions of daily guest records.• Implemented real-time guest merging and cross-system de-duplication, eliminating duplicate records and enabling unified guest experiences at scale.• Built Guest Logs, giving internal teams and customers full visibility into guest state changes, messaging decisions, and automation workflows.• Modernized platform deployment, observability, and cost efficiency, including Docker-based Lambda migration, Python 3.11 upgrade, 30–50% faster deploys, 20–30% improved platform performance, and reduced serverless runtime costs, while enabling full local replication for complex debugging.• Introduced AI-assisted engineering workflows (Cursor, Claude Code), embedding sustainable practices that accelerate design → implementation while maintaining high-quality, human-reviewed code, with processes now adopted across the engineering organization.
EDUCATION
King's College London
MSc, Computer Software Engineering
Kherson State University
BS Informatics with honours, Informational Technology
SKILLS
ABOUT ALEX CHEREDNYCHENKO
I’m an Engineering Manager who stays hands-on by design, operating across platform engineering, distributed systems, and team execution. I step into critical backend work when it increases team leverage, system reliability, or delivery speed, while building the processes, culture, and operating model that allow teams to deliver reliably at scale.Current focus (hands-on IC + leadership):• Backend and platform development using Python and AWS (serverless-first)• Designing and operating production-grade, distributed, event-driven systems (APIs, external integrations, queues, webhooks, parallel execution, failure handling, observability)• Owning critical platform foundations: reliability, observability, and operational stability under real production load• Leading teams of 5–6 engineers as a working Engineering Manager / Tech LeadEngineering leadership & delivery:• Hiring and team formation end-to-end (interview design, technical exercises, scorecards, sourcing)• 1:1s, performance feedback, and growth planning, with a strong focus on continuous improvement, automation, and AI-assisted engineering workflows• Establishing pragmatic engineering culture around testing, quality, and ownership• Improving delivery flow and workload balancing between incidents, bugs, and feature work• Building strong, durable teams through servant leadership, trust, and enablement—creating environments where engineers can do their best work and choose to stayBreadth of experience that shapes how I lead:• Built and maintained open technical standards and shared libraries used across organizations (openEPD)• Co-built early-stage startups as a hands-on engineer, including: • AI-driven media localization (speech recognition, translation, diarization, emotional alignment) • Hardware + software platforms for smart home automation (embedded systems, sensors, device orchestration)• Led client-facing delivery and growth in mature service organizations, owning outcomes for multi-million-dollar portfolios• Previously co-founded and scaled a company over a decade, building sales, engineering, and management teams before a successful exitAI-assisted engineering workflows:• Applying tools like Cursor to accelerate design → implementation cycles, with sustainable AI-assisted development practices• Using AI to reduce cognitive load while maintaining strong human ownership of architecture and correctness• Treating AI as a productivity multiplier, not a replacement for engineering judgment
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