Platform engineer focused on reliability, automation, and observability.
Site Reliability Engineer
Platform Engineer
Kubernetes
Go Developer
Cloud Infrastructure
About
My major is cryptography. My diploma states that i'm a mathematician. I can play Fur Elise on piano (first movement plus a bit more). Certified Kubernetes Administrator. I'm mostly interested to find the job (if i'm lucky but i'm not in a hurry) in adtech or blockchain, fintech startups.
Location: Remote, US
Education: Math
Cert: Certified Kubernetes Administrator
Hobby: Piano, Skateboarding
Experience
Senior Platform Engineer — AppLovin
Nov 2022 - Apr 2026 · Palo Alto, California
- Managing and supporting hundreds high-load Kubernetes clusters (many thousands nodes) on GCP GKE, ensuring optimal performance and reliability for real-time systems (bidding, mediation, inference)
- Setting up continuous profiling solutions: Grafana Pyroscope, Yandex Perforator
- Setting up mission critical massive monitoring system on VictoriaMetrics (hundreds of billions active time-series)
- Rollout massive GPU based Kubernetes clusters to run inference workloads (NVIDIA L4, V100)
- Rollout training compute instances with NVIDIA H100/200 to support research science teams to work with PyTorch, Tensorflow, cuDNN
- Supported deployment of multiple ML models using Docker and Kubernetes
- Integrated llama.cpp for on-device language model inference in a production environment
- Maintained CI/CD pipelines for model releases
- Monitored model performance and errors through logs and dashboards
- Worked with Weights & Biases and Hugging Face in an ML team environment
- Maintaining robust observability systems utilizing VictoriaMetrics, Prometheus, Loki, and Quickwit, enabling efficient monitoring and troubleshooting.
- Implementing and optimizing CI/CD pipelines using tools like Jenkins, GitHub Actions, and Bazel (huge C++ applications), improving build and deployment workflows.
- Automating tasks and building internal system utilities in Go, enhancing operational efficiency and reducing manual interventions.
- Administering Aerospike clusters, ensuring high availability and performance for distributed database workloads.
- Managing deployments using ArgoCD, streamlining GitOps workflows and maintaining consistency across Kubernetes environments.
- Leveraging Google Cloud Platform (GCP) services and infrastructure to support scalable and cost-efficient operations.
- Actively working on open source projects. Some examples: https://github.com/yandex/perforator/pull/36 , https://github.com/VictoriaMetrics/operator/pull/763
Staff Software Engineer — EngineYard
Nov 2021 - Apr 2022 · Texas
Continuous development and improvement of a NoOps Engine Yard Kontainers PaaS based on AWS EKS.
Designing internal platform services, CLI and IaaC. Customer features development as part of a Professional Services offering. MWs preparation and execution. RCA, deep-dives preparation. L3 on-call in case of a major issue
Senior Site Reliability Engineer — Aurea
Feb 2016 - Nov 2021 · Texas
Designed and supported internal platforms: Kubernetes v1.22 (runc + containerd on Amazon Linux 2 spot nodes, AMD64 and ARM, with cluster autoscaler, HPA, VPA) and Consul clusters, plus 10+ vanilla Docker clusters on AWS x1-family EC2 (including Windows Containers)
Handled incident and change management;
Prepared post-mortems/RCAs using strace, Docker Go crash stack traces, pprof, and Mark Russinovich's Sysinternals toolset for Windows Servers
Supported 300+ company AWS accounts across multiple AWS Orgs with SCPs
Developed an internal service stack: CLIs (AWS SDK for Go) and JSON/HTTP applications (mainly Go)
Designed CI/CD pipelines (Jenkins, TeamCity) and custom monitoring systems (Kafka, Prometheus/Thanos, custom Grafana dashboards) integrated with PagerDuty and Atlassian Opsgenie
Served as L3 on-call, the last resort during incidents