Cloud platforms
Account structure, identity, networking, and managed services for production environments on AWS and Azure.
Primary expertise
- Amazon Web Services
- Microsoft Azure
Familiarity
- Google Cloud
ENGINEER AT HEART · PARTNER BY NATURE
Todor Shopov.
Senior Cloud / DevOps / Platform Engineer
I bring 9+ years of engineering experience to cloud infrastructure, Kubernetes, and production operations. The work covers designing platforms, migrating existing systems, and operating what is already in production—on Amazon Web Services and Microsoft Azure, with additional familiarity with Google Cloud.
9+ years
Cloud, Kubernetes, and platform engineering
AWS & Azure
Primary cloud platforms
GitOps & IaC
Delivery and infrastructure automation
Bulgaria
International remote collaboration
Technical depth. Practical priorities.
I design, migrate, and operate cloud-native systems: account and network isolation, Kubernetes operating models, infrastructure as code, GitOps reconciliation, CI/CD, secrets and identity, observability, and the reliability work that keeps a platform usable after the first deploy.
Some engagements start from an empty account. Others start from an environment that already carries traffic. Both need the same judgment: isolate blast radius, make delivery reviewable, and leave the people who operate the system able to change it.
Technical leadership here means pairing on architecture, making trade-offs explicit, and collaborating across product and operations—not a job title timeline.
Core focus
- Cloud architecture and infrastructure engineering
- Kubernetes and container orchestration
- Platform engineering and developer experience
- Infrastructure as Code
- GitOps and delivery automation
- DevSecOps and cloud security
- Observability and incident response
- Networking and service connectivity
- Cloud migrations and modernization
- Cost optimization and reliability engineering
This site shares educational examples and engineering concepts. It excludes employer names, client identities, employment history, and unsupported performance claims.
CAPABILITIES, NOT A TOOL DUMP
How the work is stacked
Primary expertise is the daily architectural and operational practice. Hands-on experience is work delivered and operated. Familiarity is working knowledge without a production specialty claim.
Kubernetes and containers
Managed Kubernetes operating models, image delivery, and workload identity rather than cluster novelty.
Primary expertise
- Kubernetes
- Amazon EKS
- Azure Kubernetes Service
- Docker
- Helm
- Kustomize
- Ingress and autoscaling
- Workload identity
Hands-on experience
- Amazon ECS / Fargate
Infrastructure as Code
Reviewable, modular infrastructure with environment promotion instead of Console-built snowflakes.
Primary expertise
- Terraform
- Terragrunt
- Python
- Bash
- Linux automation
Hands-on experience
- Pulumi
GitOps and CI/CD
Build, scan, sign, and promote artifacts; reconcile desired state; roll back without rebuilding history.
Primary expertise
- Flux CD
- GitHub Actions
- GitLab CI/CD
- Container registries
- Artifact promotion
- Rollback automation
Hands-on experience
- Azure DevOps Pipelines
- Jenkins
Cloud networking
Private connectivity, DNS, load balancing, and service entry so workloads are reachable by design, not by exception.
Primary expertise
- VPC and VNet architecture
- Subnet, routing, and NAT
- Load balancing and DNS
- Private endpoints
- TLS and mTLS
- Ingress controllers
- API gateways
Hands-on experience
- Istio
Familiarity
- Kong
- KrakenD
Security and DevSecOps
Least privilege, secret handling, and supply-chain checks in the delivery path rather than a later audit.
Primary expertise
- IAM and RBAC
- Workload identity
- AWS KMS
- AWS Secrets Manager
- Azure Key Vault
- External Secrets
- SOPS
- Certificate lifecycle
- Container scanning
Hands-on experience
- HashiCorp Vault
Observability
Metrics, logs, and traces that explain user impact, with alerts that have owners and a next step.
Primary expertise
- OpenTelemetry
- Grafana
- Prometheus
- Loki
- Amazon CloudWatch
- Alerting and investigation
Hands-on experience
- Grafana Tempo
Data and messaging
Managed stores and queues as platform dependencies: backup, identity, network path, and failure domains.
Primary expertise
- Amazon S3
Hands-on experience
- PostgreSQL
- MySQL / Aurora
- Redis
- Amazon SQS
- Apache Kafka
- NATS JetStream
- MongoDB
- MinIO
Platform and operations
Linux, Git, registries, and the operating habits that keep a platform consistent as teams grow.
Primary expertise
- Linux
- Git
- Cost optimization
- Reliability engineering
- Platform standardization
Hands-on experience
- Artifactory
- Nexus
- Serverless architecture
CONNECTED EXPERTISE
The engineering ecosystem.
Cloud, automation, platform engineering, security, and observability reinforce one another.
01
Cloud Infrastructure
Designing secure, scalable, and cost-conscious cloud environments built for reliability, automation, and long-term growth.
Explore expertise02
DevOps & CI/CD
Turning complex delivery processes into reliable, repeatable workflows through automated pipelines and modern engineering practices.
Explore expertise03
Platform Engineering
Building internal platforms that simplify development, standardize environments, and make the path from code to production faster and safer.
Explore expertise04
DevSecOps & Cloud Security
Integrating security into infrastructure and delivery workflows through strong access controls, secure configurations, and automated checks.
Explore expertise05
Observability & Reliability
Creating observable systems with actionable telemetry, meaningful alerts, and operational practices that support resilient services.
Explore expertise06
Cloud Cost Optimization
Improving cloud efficiency through resource analysis, right-sizing, architecture reviews, and cost-aware infrastructure decisions.
Explore expertise07
DevOps Consulting
Providing practical technical guidance, infrastructure assessments, architecture recommendations, and hands-on engineering support.
Explore expertiseLET’S BUILD WHAT’S NEXT