Jaroslaw – Golang, Kubernetes

Institutional digital-asset infrastructure spanning staking, blockchain data processing, and distributed custody systems.

• Architected and delivered a production Staking Router, providing a unified abstraction across multiple staking providers and coordinating provider-specific workflows behind a consistent API;
• Designed and built the Consensus Layer Indexer, a Go service for ingesting and processing Ethereum consensus-layer data for downstream staking infrastructure;
• Led backend development of an institutional digital-asset custody platform, designing components of a distributed signing architecture and collaborating across teams on correctness, failure handling, key-management boundaries, and service interfaces;
• Drove distributed-systems engineering across these initiatives, including asynchronous workflows, state management, idempotency, failure recovery, persistence boundaries, and production operability;
• Provided technical leadership through architecture proposals, design reviews, implementation, and cross-team coordination while remaining hands-on with Go and Rust.

Institutional Ethereum staking infrastructure supporting the Liquid Collective liquid staking protocol, spanning Kubernetes-based infrastructure orchestration, staking lifecycle management, and protocol integrations.

• Designed and built a Go-based Kubernetes operator and control-plane workflow for dynamically provisioning and managing blockchain infrastructure, using custom resources and reconciliation to translate inventory-driven requirements into production workloads;
• Designed and developed backend services managing the staking lifecycle, coordinating validator operations and integrating blockchain state with internal platform workflows;
• Contributed to infrastructure and backend systems supporting the Liquid Collective protocol, including Ethereum staking and liquid-staking integrations;
• Designed and operated production distributed systems in Go using Kubernetes, PostgreSQL, Redis, AWS, and Ethereum infrastructure;
• Owned technical delivery from architecture and system design through implementation, deployment, and production operations.

Institutional digital-asset wallet and custody platform supporting secure asset management and integrations across multiple Layer 1 blockchain protocols, with a focus on scalable APIs, blockchain performance, and resilience.

• Architected and launched a wallet integration API, enabling institutional clients and external applications to integrate with the platform’s wallet infrastructure;
• Improved performance and transaction throughput of the Tendermint-based blockchain by identifying bottlenecks and optimizing critical processing paths;
• Designed and implemented disaster-recovery tooling for scenarios involving locked or inaccessible digital assets, with a focus on operational safety and recoverability;
• Evaluated integration requirements and technical characteristics of multiple Layer 1 protocols, including Ethereum, Solana, and Algorand, to expand the platform’s blockchain capabilities;
• Contributed to production blockchain and custody infrastructure within the dMPC wallet team, focusing on correctness, reliability, and secure asset handling.

Multi-chain blockchain infrastructure platform providing blockchain data, APIs, indexing, and data-processing services across production cloud environments.

• Built modular Go microservices and orchestration components supporting multi-chain blockchain indexing and API workloads;
• Designed scalable relational data models for Ethereum contract events and developed production indexing pipelines for processing and exposing blockchain data;
• Built Kafka-based asynchronous processing pipelines with retry mechanisms and dead-letter queues for reliable failure handling;
• Developed and operated distributed backend services on Kubernetes and Google Cloud, owning them from implementation through production operations;
• Integrated heterogeneous blockchain networks behind common platform abstractions and APIs.

Autonomous cloud infrastructure platform focused on reducing operational overhead through automated anomaly detection, root-cause analysis, and remediation.

• Developed autonomous Go backend systems for cloud infrastructure, reducing operational overhead through automated detection and diagnosis of production issues;
• Built anomaly-detection and root-cause analysis systems processing infrastructure metrics and traces using Kafka and Redis;
• Developed simulation and fault-injection tooling to evaluate system behavior under failure conditions and validate detection and recovery approaches;
• Ported machine-learning algorithms from Python to Go for performance evaluation and integration into the broader platform;
• Engineered distributed, telemetry-driven systems with a focus on observability, reliability, and automated remediation.