Dmitry Denisenko

Dmitry Denisenko

Platform Tech lead Engineer @ Sberbank

About

AI Platform Engineer and Tech Lead focused on building enterprise AI systems and developer platforms for AI agents and multi-agent systems in Kubernetes/OpenShift environments. Experienced in AI infrastructure, platform engineering, observability, CI/CD, and deployment standardization for regulated enterprise environments. Designing internal AI platforms that simplify orchestration, deployment, and operation of AI agents and multi-agent systems. Strong ownership mindset with experience coordinating cross-team platform initiatives and acting as a technical owner for platform components.

Country

Russia

City

Moscow Metropolitan Area

Industry

Computer Software

Skill

AI Platforms & MLOps, Infrastructure & Kubernetes, AI, Инфраструктура, Programming: Java (11–21), Spring Boot, Micronaut, REST, WebSockets, Databases: PostgreSQL, MongoDB, Redis, Liquibase, Flyway, DevOps / Cloud: Docker, Kubernetes, OpenShift, GitLab CI/CD, Terraform (in progress), ArgoCD, Monitoring: Prometheus, Grafana, ELK stack, MLOps: MLflow, Kubeflow (learning), Messaging: Kafka, RabbitMQ, Tools: Jira, BitBucket, GitHub, Коммуникация, Java, Apache Kafka, Spring Boot, BitBucket, Spring Data, H2, Flyway, MQ

Experience

Sberbank

Platform Tech lead Engineer

Sberbank

LinkedIn
2026-3 - Present · 7 mos
ITQ Group

Backend & DevOps Engineer

ITQ Group

LinkedIn
2023-12 - 2026-3 · 2 yrs 4 mos

Moscow

Project: Payment Engine (Renaissance Credit) • Built CI/CD pipelines (GitLab CI/CD, Docker, OpenShift) • Migrated services to Kubernetes StatefulSets, improving reliability of core payment services • Developed backend microservices (Java, Spring Boot, PostgreSQL, Liquibase) • Improved reporting performance by optimizing SQL queries and indexes • Collaborated with DevOps team to configure monitoring (Prometheus, Grafana, ELK) Project: AI Agent Platform (Sberbank) • Designing and evolving an AI developer platform for enterprise AI agents running in Kubernetes/OpenShift • Reducing AI agent onboarding and deployment time from weeks to days by standardizing development and deployment workflows • Acting as technical owner and point of contact for platform components during PM absence, coordinating changes across teams • Implementing CI/CD pipelines and automated deployments for AI agents in a regulated banking environment

Dmitry Denisenko's Contact Information

Email

******@***.com

Phone

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