Dobry Nikolov
Summary
Platform & DevOps Engineer with 5+ years designing and operating enterprise-scale Azure architectures, Kubernetes-based microservices, and IAM/IDP platforms. Experienced building production-grade CI/CD pipelines, IaC automation, and observability frameworks across heterogeneous stacks. Proven ability to modernize legacy systems, implement zero-trust identity platforms, and embed DevOps best practices across cross-functional teams. Active open-source contributor; GitOps practitioner with public operator and homelab projects.
Experience
Ascent
- Architected end-to-end observability framework across Azure microservices, Databricks analytics, and ML pipelines processing daily insurance claims - unified monitoring via Datadog and reduced MTTR by 40%
- Designed and built reproducible Kubernetes clusters from scratch with Terraform-driven IaC, providing stable platform foundations for internal data and ML teams
- Onboarded internal client teams onto the platform with documentation, paved-path templates, and hands-on support to shorten time-to-first-deploy
- Defined SLOs, error budgets, and alert routing aligned with SRE practices - cut incident response from hours to minutes
- Standardized operational runbooks across 15+ services, accelerating onboarding and incident resolution
- Partnered with data teams to productionize AI-assisted data enrichment pipelines with reproducible Azure deployments and IaC-managed infrastructure
- Stack: Azure (AKS, App Services), Datadog, Grafana, Kubernetes, Databricks, Terraform
Schwarz IT Bulgaria
- Contributed to a centralized IAM/IDP platform serving 500K+ users across two parallel projects: Golang microservices replacing legacy IDP/IAM components, and a GraphQL + REST wrapper API consolidating policy management on top
- Took part in architectural design discussions and trade-off decisions across both projects, working with senior architects to shape the platform's API surface and service boundaries
- Built features in the Golang microservices targeting 60% throughput improvement over legacy components
- Owned the complete testing lifecycle (unit, integration, E2E) in the absence of dedicated QA, maintaining 95%+ coverage
- Implemented CI/CD pipelines with automated security gating, policy enforcement, and release management via Azure DevOps
- Stack: Go, Kubernetes, Azure DevOps, GraphQL, REST, LDAP, Active Directory
CleverPine
- Provisioned and operated Kubernetes/OpenShift clusters across AWS and Azure using Helm - canary deployments, health probes, and auto-scaling for HA workloads
- Built CI/CD pipelines across Jenkins, Azure DevOps, GitLab CI, and GitHub Actions, reducing deployment time by 70% and enabling daily production releases
- Managed multi-cloud infrastructure with Terraform and Terragrunt, ensuring consistent, reproducible environments at scale
- Codified configuration management with Ansible and containerized workloads with Docker/Podman for fully reproducible environments
- Deployed Prometheus/Grafana observability stacks with golden-signal alerting, sustaining 99.9% uptime
- Acted as embedded DevOps consultant across client squads - propagated best practices, documented runbooks, trained teams on cloud-native workflows
- Stack: Kubernetes, OpenShift, Jenkins, Ansible, Docker, Prometheus, Grafana, Helm, Terraform, AWS, Azure