Istanbul, Istanbul, Türkiye
Cloud & System Architect and Engineering Leader with 12+ years of experience building scalable, modular, and mission-critical systems across streaming, banking, e-commerce, and logistics. Currently leading 30+ engineers across mobile, web, backend, and TV platforms. Responsible for architecture, project delivery, team structure, roadmap alignment, performance tracking, and planning. I design systems that scale, remain consistent, secure, observable, and developer-friendly. I focus on architectural clarity, operational efficiency, and cross-functional execution. ⸻ Leadership • Built high-performing teams with strong ownership culture • Delivered enterprise platforms with minimal-downtime migrations through planned maintenance windows • Managed resources, performance, and cross-functional coordination • Ensured roadmap alignment and timely delivery across platforms ⸻ Architecture & Systems • Patterns: DDD, Hexagonal & Clean Architecture, CQRS, Event Sourcing, Actor Model, Internal SDKs, Reusable Packages (NuGet, NPM) • Modernization & Migration: Refactored monoliths into cloud-native microservices. Designed delta migrations with CDC (Debezium + Kafka) and real-time sync. • API Gateway & Edge: Built layers with Ocelot, YARP, KrakenD. Applied JWT delegation, rate limiting, multi-tenant routing, observability. Integrated Dapr, Linkerd. • Data Consistency: Handled race conditions, idempotency, distributed transactions, sagas, and ACID vs eventual consistency. • Event-Driven Architecture: Designed pub/sub systems using Kafka, RabbitMQ, AWS SNS/SQS with resilient orchestration. ⸻ Communication & Identity • Protocols: gRPC, MQTT, REST, WebSockets, Event Bus • Access Control: Keycloak integration with ABAC (Attribute-Based) & PBAC (Policy-Based). Token-based security, delegated identity. ⸻ Observability OpenTelemetry, Prometheus, Grafana, Grafana Loki, Grafana Tempo, Jaeger, Zipkin, Aternity, AppDynamics, Senetry. Kubernetes-native tracing, logging, debugging, and mesh observability. ⸻ Tech Stack • Languages: .NET, Node.js, Java, React, Angular, Swift • Databases: PostgreSQL, SQL Server, Cassandra, MongoDB, Couchbase, DynamoDB, Elasticsearch • Messaging & Caching: Kafka, Debezium, RabbitMQ, Redis, AWS SQS/SNS, GCloud Pub/Sub • Cloud & Infra: AWS, GCP, Kubernetes, Docker, Service Mesh • Streaming: HLS, DASH, DRM, FFmpeg, CDN • Legacy/Finance: CTG, HIS, DB2, IBM MQ
I design and deliver scalable AWS serverless and AI-powered platforms focused on performance, automation, and cost efficiency. • Pay-as-you-go cloud architectures • Sub-10ms data access even at terabyte scale • Self-scaling infrastructures with minimal DevOps overhead • Multi-tenant, SaaS-ready platform architectures • Recommendation & personalization systems • End-to-end backend, database, and service delivery within days Product & Growth Experience • Firebase ecosystem integrations • Mixpanel analytics & A/B testing infrastructures • In-App Purchase (Apple & Google) system design Applied AI • RAG-based AI systems & semantic search • LLM-powered backend applications • Local LLM deployments (Ollama) • Custom AI applications & workflows (ComfyUI) • AI-assisted platform and automation design Building intelligent systems that scale autonomously, minimize operational cost, and run reliably in production.
- Lead a multidisciplinary organization of 51+ professionals across Mobile, TV, Web, and Backend teams. - Drive workforce planning, prioritization, and delivery management to significantly boost team productivity. - Manage two large-scale projects simultaneously, delivering initial releases ahead of schedule. - Collaborate closely with AWS platform, UI/UX design, and business analysis teams; conduct 100+ meetings annually with external vendors and partners to ensure seamless workflows. - Implement cost-optimizing initiatives in cloud projects with AWS to reduce infrastructure expenses. - Design and execute product-oriented architectural strategies to build modular and scalable systems, enabling much faster delivery of new features. - Ensure full alignment between the product roadmap and technical capabilities, achieving on-time and smooth releases for all critical launches.
• Migrated the entire Gain platform from Google Cloud to AWS, including video, subscription, and content services. • Rebuilt the backend architecture using serverless AWS Lambda, improving scalability and reducing infrastructure cost. • Designed and executed a delta migration process to transition 4.5M users with minimal downtime • Internalized the subscription system and removed third-party dependencies to achieve platform autonomy. • Integrated DRM solutions (Widevine, FairPlay, PlayReady) into the video streaming pipeline to ensure content protection across platforms. • Led modernization projects in the banking domain, including HIS to CTG mainframe transitions and OpenShift-based deployments.
• Migrated the company’s entire infrastructure from GCP to AWS, significantly improving cost-efficiency and observability. • Developed a custom Helm chart system to automate end-to-end SSL, load balancing, and deployment processes. • Established Prometheus + Grafana monitoring stacks to ensure SLA compliance. • Applied DDD, CQRS, and Saga pattern to deliver resilient, scalable, and maintainable microservices. • Integrated GitHub Actions into CI/CD pipelines, reducing delivery time by 40%.
• Led three engineering teams (backend, frontend, iOS) with a total of 9 engineers. • Built a fraud detection and prevention infrastructure using Camunda BPMN. • Designed event-driven external integration architecture using RabbitMQ and Stomp. • Automated CI/CD processes with Bamboo to accelerate development cycles. • Delivered production-ready solutions across backend, web, and mobile platforms in a highly collaborative setup.
• Led the end-to-end development of an internal logistics platform to replace a costly and inflexible third-party system. • Built a scalable microservices architecture using .NET Core, Angular, Elasticsearch, and RabbitMQ. • Established centralized logging and monitoring with ELK stack (Logstash, Elasticsearch, Kibana). • Reduced API latency by 60% through efficient caching and queue-based processing with Redis and RabbitMQ. • Integrated JIRA into the CI/CD process to enable traceable, automated deployments.