Sergey Nazarov, Software Developer in Seattle, WA, United States
Sergey Nazarov

Software Developer in Seattle, WA, United States

Member since March 6, 2018
Sergey is a seasoned DevOps with more than a decade of experience building infrastructures for large-scale web projects. With a background in cybersecurity and server-side development, he's successfully built secure, fault-tolerant, and scalable solutions running on bare metal as well as in the cloud. A big fan of modern technologies such as Docker and Kubernetes, he's enjoying working with distributed teams in agile fast-paced environments.
Sergey is now available for hire


  • Raising the Floor
    Kubernetes, Google Cloud Platform, AWS, Terraform, Helm, Locust, CouchDB...
  • Green Cloud
    GKE, IoT Core, Bigtable, BigQuery, Cloud SQL, Cloud Dataflow, Cloud Functions...
  • Imbellus (via Toptal)
    Elastic Beanstalk, Lambda, Kinesis, Cognito, CloudFront, IAM, KMS, SQS, SNS...



Seattle, WA, United States



Preferred Environment


The most amazing...

...project I've worked on was an open-source cloud-agnostic infrastructure-as-code framework that manages full lifecycle of Kubernetes applications.


  • DevOps

    2018 - PRESENT
    Raising the Floor
    • Contributed to several open-source projects, united by the goal of creating Global Public Inclusive Infrastructure (GPII) to provide equal access to technology for people regardless of their disability, literacy, aging-related barriers, or socioeconomic status.
    • Worked on the design and implementation of a FERPA-compliant cloud-agnostic infrastructure-as-code framework that manages the full lifecycle of Kubernetes applications.
    • Migrated legacy EC2-based Kubernetes deployments to GKE.
    • Designed and implemented application-transparent cloud KMS-based secrets management system with the support of secret/key material population and rotation.
    • Designed and implemented a Locust-based universal load testing solution, capable of simulating real-world web application user behavior on the scale from dozens to millions of simultaneous users.
    Technologies: Kubernetes, Google Cloud Platform, AWS, Terraform, Helm, Locust, CouchDB, Istio, Forseti
  • Architect

    2019 - 2019
    Green Cloud
    • Designed a highly scalable, secure and cost-effective solution to handle live metric streaming from a massive pool of IoT devices for AI-based predictive analysis.
    • Designed a cloud organizational structure and security model, following principles of separation and least privilege.
    • Provided leadership and strategic guidance during the solution implementation process to ensure that business requirements are met.
    • Established key processes and guidelines, aiming for the desired level of security compliance.
    • Worked on solution documentation, created playbooks for the most common situations and scenarios to ensure a smooth handoff.
    Technologies: GKE, IoT Core, Bigtable, BigQuery, Cloud SQL, Cloud Dataflow, Cloud Functions, TensorFlow, Cloud Pub/Sub, KMS, IAM
  • DevOps

    2019 - 2019
    Imbellus (via Toptal)
    • Helped to troubleshoot and resolve issues with existing architecture and processes to improve development velocity and reduce operations toil.
    • Automated infrastructure deployments to support on-demand resource provisioning in regions closest to the end-customer to minimize latency.
    • Upgraded an existing CI/CD workflow to reduce build failure rates and support multi-region deployments.
    • Optimized infrastructure observability with centralized logging and log-based metrics.
    • Improved incident response times by establishing key metrics and configuring alert policies based on them.
    • Designed a centralized identity management solution for edge authentication and access control.
    • Provided technical guidance to ensure best practices and to plan smooth migration of existing workloads to containers and Kubernetes.
    Technologies: Elastic Beanstalk, Lambda, Kinesis, Cognito, CloudFront, IAM, KMS, SQS, SNS, RDS, S3, VPC, Route53, EKS, Terraform, Jenkins, CodeBuild, CodePipeline, Elasticsearch
  • DevOps Lead

    2014 - 2018
    • Led the DevOps team by acting as a facilitator between development, operations, and the customer success teams.
    • Supported the physical infrastructure of the running project: kept relationships with providers, vendors and DC crew, and supervised required maintenance tasks.
    • Hardened the production system's security, established workflows and procedures, prepared documentation to pass the security/availability principle part of the SOC II security audit.
    • Completed the infrastructure automation using Chef and Terraform, unified multiple environments (production, stage/QA, on-premise, private cloud) within the same Chef codebase which improved the Dev/QA experience and reduced maintenance costs for Ops.
    • Improved the system architecture for private cloud installations using Docker, Kubernetes, and Terraform.
    • Implemented the required changes to the application stack and built CI/CD tooling.
    Technologies: Linux, AWS, Google Cloud Platform, Terraform, Vagrant, Etcd, Elasticsearch, Grafana, Logstash, Docker, Rocker, Kubernetes
  • DevOps

    2010 - 2014
    • Designed and implemented a new bare-metal architecture of a low-latency triple-redundant sharded file system with hot failover, real-time replication, and off-site backups for needs of shared SVN, Git, Perforce, and Mercurial repository hosting.
    • Designed and performed the seamless migration of existing customer base (AWS) into the new infrastructure.
    • Implemented a CI/CD workflow that allowed the team to safely execute over 50 deploys into production per day.
    • Built a bare-metal KVM cluster and developed the required tooling to provide the underlying infrastructure for staging/CI environments.
    • Improved the existing monitoring solution—reducing the number of false positives and increasing the retention periods and resolution for historical metrics.
    Technologies: Linux, AWS, Git, SVN, Perforce, Mercurial, Ruby, Chef, DRBD, Jenkins, Pacemaker, Capistrano, Passenger, HAProxy, Nagios, New Relic, CloudFlare, Monit, Errbit, Jetty, Apache, Bash, RabbitMQ, Elasticsearch, Ceph, KVM, Capistrano, Hubot, Cisco ASA
  • Lead Server-side Developer

    2007 - 2010
    • Built a system of distributed proxies and crawlers to automatically collect and parse more than 500,000 legal documents per day.
    • Developed fuzzy-logic-data-collection algorithms for data crawlers.
    • Constructed a document-indexing pipeline using Sphinx.
    • Designed a simple-and-effective infrastructure-monitoring system using Nagios.
    • Created an HA and fault-tolerant MySQL cluster architecture with ring replication and real-time snapshots using Percona and HAProxy.
    Technologies: Linux, Apache, Nginx, HAProxy, PHP-FPM, MySQL, Percona, Sphinx, Nagios, Memcached


  • Tooling for a CI/CD Workflow (Google Kubernetes Engine) (Other amazing things)

    I built a framework to handle a Ruby on Rails app's and related software stack's lifecycle tasks, using auto-scaling Google Kubernetes Engine cluster and other Google Platform services (GCE, GCR, GC SQL, Stackdriver, IAM).

  • Infrastructure Automation with Chef and Terraform (Other amazing things)

    I unified four (product, stage, on-premise, and private cloud) environments within the ~150,000 lines of Chef/Terraform codebase—reducing the maintenance effort for operations and developers.

  • Infrastructure Monitoring with Nagios, NewRelic, Elasticsearch, Grafana, and Logstash (Other amazing things)

    I built a universal-and-simple solution for decentralized monitoring, alerting, metrics, and log collection.


  • Languages

    Python, Bash, Ruby, Java, PHP
  • Frameworks

  • Libraries/APIs

    Google Cloud API
  • Tools

    Terraform, Rake, Google Stackdriver, Helm, Subversion (SVN), Nagios, Git, Chef, Apache, Make, Jetty, Passenger, Capistrano, RabbitMQ, Etcd, Vagrant, Nginx, Perforce, Jenkins, Fluentd, Grafana, Mercurial, Monit, CloudFlare
  • Paradigms

    Continuous Integration (CI), Continuous Delivery (CD), DevOps, Agile Software Development, Microservices Architecture, Scrum
  • Platforms

    Google Cloud Platform (GCP), Amazon Web Services (AWS), Kubernetes, Linux, Docker, New Relic, KVM
  • Storage

    Auto-scaling Cloud Infrastructure, MySQL, CouchDB, Elasticsearch, Google Cloud SQL, Redis, Sphinx Search Engine, Memcached, Ceph, DRBD
  • Industry Expertise

    Project Management, Cybersecurity
  • Other

    Unix Shell Scripting, Container Orchestration, Infrastructure Monitoring, Infrastructure as Code, Linux System Administration, Cloud Infrastructure, Google BigQuery, HAProxy


  • Master's degree in Cybersecurity
    2004 - 2009
    Samara State University - Samara, Russia


  • TensorFlow in Practice
    JANUARY 2020 - PRESENT via Coursera
  • Machine Learning with TensorFlow on Google Cloud Platform
    Google Cloud
  • Professional Cloud Architect
    DECEMBER 2019 - DECEMBER 2021
    Google Cloud

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