Anton – Kubernetes, Golang, Linux

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.

• Contributed to the end-to-end architecture and implementation of an offline Hyperledger Fabric-to-Fabric-X ledger migration;
• Authored the migration RFC and collaborated with senior researchers on architectural design and technical reviews;
• Designed and developed a Go-based exporter to migrate ledger state and configuration from Hyperledger Fabric Classic into the Fabric-X committer database;
• Worked on committer-side bootstrap, verification, and activation mechanisms to ensure safe initialization of migrated networks;
• Implemented idempotency, replay protection, and recovery mechanisms to support migration reliability;
• Developed integration tests to verify migration correctness and consistency with 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

• Developed and enhanced Go-based Kubernetes operators, agents, and platform services supporting managed, hybrid, and private cloud environments;
• Implemented Kubernetes platform capabilities, including on-demand replication, cluster lifecycle management, upgrades, and Cluster API integration;
• Improved production reliability by resolving cluster consensus issues, traffic-routing bugs, and unsafe upgrade scenarios, including fixing Raft consensus bugs and implementing disk scale-down support in a Rust-based Cluster Manager;
• Enhanced hybrid cloud security and deployment reliability by reducing RBAC permissions, introducing Helm unit tests, and implementing controlled rollout and rollback procedures;
• Supported customer-environment migrations and strengthened release confidence through database consensus testing, integration tests, regression coverage, cloud testing, and deployment verification;
• Improved platform efficiency and observability through resource reservation optimization, Prometheus instrumentation, Golden Signals dashboards, and distributed trace correlation;
• Contributed to technical architecture and engineering standards through RFCs, architectural proposals, runbooks, test plans, and onboarding documentation.

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.

• Developed and hardened GCP infrastructure using Terraform, GKE, Artifact Registry, and ArgoCD, implementing cross-cloud container image workflows, workload identity, and GitOps practices;
• Defined platform architecture standards through Architecture Decision Records (ADRs), Terraform module standardization, provider-aware abstractions, and improvements to GitOps application structures;
• Explored Kubernetes Cluster API (CAPI) for cloud-portable cluster lifecycle management and reproducible infrastructure provisioning;
• Automated Kubernetes workload rightsizing and capacity optimization across production clusters, tuning resource requests, limits, provisioning, and autoscaling for ML and other resource-intensive workloads;
• Migrated business-critical applications to internal Kubernetes infrastructure using Istio service mesh and ingress gateways, strengthening deployment security and CI/CD practices;
• Improved security, compliance, and observability by deploying security posture tooling for PCI environments, building AWS Firehose audit log pipelines, and extending log archival through Loki;
• Resolved observability SDK timestamp issues across data pipelines, Android, and iOS, and improved CI pipelines and logging reliability;
• Improved storage cost visibility and unused-volume alerting, while mentoring engineers on AWS, GCP, Terraform, Kubernetes, and GitOps practices.

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 cloud infrastructure, introducing Cloudflare, AWS, Kubernetes, and Istio service mesh;
• Researched and prototyped AI-assisted application migration and autonomous engineering agents using Azure OpenAI, fine-tuned open-source LLMs, and Cursor cloud agents;
• Maintained and extended the observability stack using Grafana, Loki, Prometheus, and Honeycomb.

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;
• Designed and implemented CI/CD tooling and reusable libraries using GitLab CI/CD and ArgoCD;
• Worked with Grafana, Loki, Prometheus, and Tempo (OpenTelemetry) to support platform observability;
• Contributed to architectural design and technical decisions within a team of fewer than 10 engineers, collaborating with over 50 engineers across three continents.