Bekzhan Kadirgaliyev
@bekzhankadirgaliyev
Senior backend engineer with 7+ years building scalable Python/Go services and event-driven architectures.
What I'm looking for
I’m a Backend Engineer with 7+ years of experience building distributed systems, high-load APIs, and event-driven architectures. I focus on designing scalable backend services, improving reliability and performance in production, and delivering migrations without downtime.
In recent roles, I built FastAPI and gRPC backend services for an internal talent platform, including an executed migration of 1M+ records with zero downtime and backward-compatible schema transitions. I’ve also improved API performance by ~30% through query optimization and caching, and tackled complex relationship modeling using PostgreSQL and graph databases like JanusGraph and OrientDB.
Earlier, I designed a Go-based payment processing service with integrations to 2 banking platforms, reducing external transaction failure rate by ~20–25% via reliability improvements, retries, and error handling. I’ve led migrations of distributed Celery processing platforms handling ~1B records (boosting throughput by ~30–50%), improved operational readiness by migrating observability from Datadog to Grafana (reducing incident detection time by ~40%), and led/mentored a team of 5 backend engineers while cutting production incidents by ~30–35% through refactoring and deployment improvements.
Experience
Work history, roles, and key accomplishments
Senior Backend Engineer
Redcore.team
Jul 2025 - May 2026 (10 months)
Built FastAPI and gRPC backend services for an internal talent platform and implemented graph-backed relationship modeling with JanusGraph and OrientDB. Executed zero-downtime migration of 1M+ records with backward-compatible schema transitions and improved API performance ~30% via query optimization and caching.
Senior Backend Engineer
Freysoft / ComplyAdvantage
Mar 2023 - Apr 2024 (1 year 1 month)
Led migration of a distributed Celery processing platform for ~1B records with zero downtime and improved task throughput ~30–50% via worker concurrency and queue optimization. Migrated observability from Datadog to Grafana, reducing incident detection time ~40%, and integrated third-party APIs for high-load AWS production systems.
Education
Degrees, certifications, and relevant coursework
Bekzhan hasn't added their education
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Tech stack
Software and tools used professionally
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Location
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