Anton – Golang, Kubernetes, AWS

Enterprise blockchain infrastructure migration project focused on transferring ledger state and configuration from Hyperledger Fabric Classic to Fabric-X while ensuring data consistency, safe initialization, and reliable recovery.

• Authored and maintained the open-source repository https://github.com/hyperledger/fabric-x-migrate/;
• Designed and implemented an offline Hyperledger Fabric-to-Fabric-X ledger migration end to end, with IBM senior researchers reviewing the design and RFC;
• Authored the migration RFC and built the Go exporter that migrates ledger state and configuration from Fabric Classic into a Fabric-X committer database;
• Implemented committer-side bootstrap, verification, activation, idempotency, replay protection, recovery and integration tests so the migrated network starts safely and matches the source ledger.

Enterprise Database-as-a-Service (DBaaS) platform providing managed, hybrid, and private cloud database solutions for Fortune 500 companies, with automated cluster lifecycle management, replication, and infrastructure orchestration

• Owner of the Go Kubernetes operator and agent, and architect of new platform features. Part of the team that owns all services orchestrating cluster lifecycles in Kubernetes. Contributor to the Rust database and Cluster Manager;
• Authored on-demand replication, cluster lifecycle management, upgrades and Cluster API integration;
• Fixed Raft consensus bugs and implemented disk scale-down in the Rust Cluster Manager;
• Fixed traffic-routing bugs and unsafe upgrade paths;
• Added consensus, integration and regression tests;
• Wrote RFCs, runbooks and test plans.

Enterprise fintech platform supporting payment services for millions of merchants globally, with multi-cloud infrastructure, Kubernetes-based application delivery, automated capacity optimization, and secure production operations.

• Owner of the Kubernetes Cluster API (CAPI) rollout across environments, enabling cloud-portable cluster lifecycle management and reproducible infrastructure provisioning;
• Developed and hardened GCP infrastructure using Terraform, GKE, Artifact Registry and ArgoCD, implementing cross-cloud container image workflows, workload identity and GitOps practices;
• Migrated business-critical applications to internal Kubernetes infrastructure.

Enterprise fintech platform modernization initiative focused on multi-cloud infrastructure, Kubernetes-based application delivery, platform reliability, and AI-assisted software engineering workflows.

• Implemented and reviewed GCP multi-cloud infrastructure using Terraform, while evaluating Kubernetes Cluster API (CAPI) for cloud portability and GitOps-based cluster management;
• Led the onboarding of engineers into the Platform team, establishing familiarity with team responsibilities, AWS, Terraform, Go, and infrastructure engineering practices;
• Migrated applications to modern Kubernetes-based cloud infrastructure;
• Researched and prototyped AI-assisted application migration and autonomous engineering agents using Azure OpenAI, fine-tuned open-source LLMs, and Cursor cloud agents.

Enterprise sovereign cloud platform providing managed infrastructure and Platform-as-a-Service capabilities, including Kubernetes clusters, databases, messaging services, and automated cloud resource provisioning.

• Designed and developed a Go SDK exposing proprietary cloud infrastructure APIs for provisioning and managing virtual machines, load balancers, VPCs, DNS records, and other cloud resources;
• Designed and implemented a Kubernetes Cloud Controller Manager (CCM) to automate node registration, metadata management, and load balancer provisioning within a proprietary cloud environment;
• Extended and supported custom Kubernetes Container Storage Interface (CSI) drivers for integration with proprietary cloud storage;
• Designed and extended Cluster API (CAPI) provider resources to automate provisioning and management of Kubernetes clusters and node pools;
• Developed and enhanced workflows for bootstrapping and managing cloud services, health checks, and platform agents;
• Contributed to architectural design and technical decisions within a team of fewer than 10 engineers, collaborating with over 50 engineers across three continents.