Anton V.

About Anton V.

As a skilled DevOPS and Site Reliability Engineer with over 10 years of experience in the industry, I possess a proven track record of designing and implementing highly available, scalable, and secure infrastructure for mission-critical applications. I have extensive experience in cloud platforms such as AWS and GCP, as well as in containerization technologies such as Docker and Kubernetes. Additionally, my proficiency in scripting languages like Python and Bash has enabled me to automate and streamline complex tasks for more efficient and effective results.I have a proven track record of improving the reliability, availability, and performance of complex systems. My technical skills, combined with my passion for problem-solving and collaboration, enable me to deliver high-quality solutions that meet the needs of both internal and external stakeholders.I am constantly seeking opportunities to learn and grow, and I am passionate about collaborating with cross-functional teams to solve complex problems and deliver exceptional results.Technical skills:Programming languages: Python, Bash, Powershell, Go,XML, JSON, YAMLPlatforms and Operating systems: Linux: Debian, RedHat-based (CentOS,Rocky Linux, Oracle linux)CI/CD and automation tools: Jenkins, Gitlab CI, Github Actions, Harness, Puppet, Ansible, RunDeck,Terraform, Maven, Ant, Gradle, GNU MakeMonitoring and Observability: Datadog, Prometheus, GrafanaDatabases: MySQL, MongoDB, Microsoft SQL, AWS RDS, AWS Aurora, PostgreSQL, Oracle DBPublic cloud: Google Cloud Platform(GCP), Amazon Web Services (AWS)HA, Service Mesh, Service Discovering: HAProxy, Istio, Envoy Proxy, Hashicorp ConsulSCM: Git, Gitlab, Github, Gerrit, Mercurial, SVN, CVSContainerization: Docker, KubernetesVirtualization: VMWare vSphere 4/5/6, XenSecurity: DLP, scanners and analysis systems, firewalls, Hashicorp Vault, WIX

Experience

1. Production Engineer

   Meta

   Nov 2024 — Present · Menlo Park, CA, US

   Automation & SLO/SLI Implementation: Led cross-functional automation initiatives to apply an SLO/SLI framework for ADS product teams, enhancing overall system performance and reliability.• Enhanced Observability in Ads Rendering: Introduced an SLO/SLI approach to improve the reliability and observability of the Ads rendering stack, identifying three major incidents within the first two week each with an estimated daily revenue impact of $100k.• Redesigned ML Operations Tool: Revamped the tool to onboard new data sources via a unified interface, streamlining data integration processes• API Development for Models snapshot management: Designed and implemented an API to ban/unban model series snapshots, enabling on-call engineers to quickly remediate issues through a user interface and saving approximately 20 minutes per action. Additionally, implemented an audit subsystem to log events related to communications with the Models snapshot management system, improving traceability and operational visibility.• Improved application performance and service availability by profiling and identifying memory bottlenecks, leading to reduced memory by 15% utilization for a specific codebase.

Education

• Volgograd State Technical University

  Master’s Degree, Information Technology

  2002 — 2009