High load
Owned event-processing services at 4M+ events/day end to end — from data model to production SLA and incident response.
Open to contract work
Senior Go EngineerTech Lead
GoDistributed SystemsPlatform EngineeringAI Agents
I build high-throughput Go backends and the engineering platform around them — including the tooling that lets AI agents work on production code safely.
Remote · Contract
Backend engineer with 8+ years in production development, 5+ of them in Go. Since October 2022 I have been the technical owner of a high-throughput event-processing platform: architecture, reliability, delivery and mentoring. I also built the platform's AI layer — an MCP server that gives LLM agents grounded, permission-scoped access to code, logs, traces, CI and deployments, plus the workflow in which agents take bounded tasks and humans review.
Owned event-processing services at 4M+ events/day end to end — from data model to production SLA and incident response.
Led the move from a monolith to independently deployable services, then consolidated shared logic into a core Go library with golden-file parity tests.
Built an MCP server and agent workflow: LLM agents read code, logs, traces and deployments through scoped tools, claim tasks so no two agents work on the same one, and reach review only after green checks.
De facto tech lead: architecture decisions, review practices adopted across teams, mentoring engineers to independent ownership.
Senior Backend Engineer (Go) · de facto Tech Lead
Technical owner of the Go backend of a high-throughput event-processing platform and of the internal engineering platform around it.
Go Developer
Short-term engagement on internet-scale backend services.
Go Developer
Backend services and analytics infrastructure for ISP data.
Software Engineer
Backend services and business logic for enterprise systems.
Software Engineer
Full-cycle backend, third-party integrations and IoT automation.
Available for scoped contract engagements.
Design of new Go services and turnaround of struggling ones: throughput, latency, PostgreSQL/ClickHouse performance, queues.
Audit of a service landscape with a written report: risks, bottlenecks, migration plan.
MCP servers and agent workflows that give LLMs safe, grounded access to your code, CI and observability.
Metrics, tracing, alerting, Kubernetes GitOps with Argo CD.
Open to contract work
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