09/24/2026 updated
100 % available
Cloud DevOps Engineer | AWS & Azure | Terraform | CI/CD | SRE
Lutsk, Ukraine
Only remote
Bachelor in Information and Technology, Admiral Makarov National University of ShipbuildingAbout me
I'm a Senior DevOps/SRE engineer with 12+ years in IT. I enjoy solving complex infrastructure problems, automating repetitive work, and making systems simpler and more reliable. I value pragmatic solutions, clean engineering, clear communication, and leaving systems better than I found them.
SREGitHub CopilotGitHub ActionsFinOpsPlatform EngineeringAzure DevOpsAmazon CloudfrontAmazon Elastic Compute CloudMicrosoft AzureBash ShellCloud ComputingCloud Computing SecurityCloud EngineeringCloud FoundryVirtual Private Servers
AWS Cloud Engineering
Extensive experience with AWS including EC2, ECS/Fargate, EKS, S3, Lambda, RDS, ElastiCache/Redis, CloudFront, API Gateway, IAM, CloudWatch, SQS, DynamoDB, and OpenSearch. Strong background in architecture, networking, security, monitoring, and cost optimization.
Azure Cloud EngineeringHands-on experience with AKS, Container Apps, Functions, VMs, Scale Sets, VNets, Private Endpoints, Private DNS, Managed Identities, Entra ID, RBAC, Key Vault, API Management, and Azure DevOps.
Infrastructure as Code & CI/CDAdvanced experience with Terraform, Ansible, CloudFormation, AWS CDK, and Packer. Extensive CI/CD experience with GitHub Actions, Azure DevOps, Jenkins, and TeamCity, including GitOps, OIDC, secrets management, and automated deployments.
Kubernetes & ContainersDeep hands-on experience with Kubernetes, EKS, AKS, Docker, Podman, Helm, container networking, storage, scaling, deployment strategies, and production troubleshooting.
Site Reliability Engineering12+ years of DevOps/SRE experience covering production operations, observability, incident response, root-cause analysis, fault tolerance, high availability, performance optimization, and automation.
Observability & MonitoringExperience with Prometheus, Grafana, CloudWatch, Datadog, Sumo Logic, ELK/Elasticsearch, OpenSearch, and InfluxDB for monitoring, alerting, logging, dashboards, and diagnostics.
Databases & Distributed SystemsExperience with PostgreSQL, MySQL/MariaDB, Percona, MS SQL, MongoDB, Redis, Kafka, RabbitMQ, SQS, DynamoDB, OpenSearch/Elasticsearch, and Ceph.
Programming & ScriptingStrong skills in Python, Go, Bash/Shell, Java, .NET/C#, Node.js, and React for automation, tooling, backend services, APIs, and application development.
AI & LLM InfrastructureExperience with Azure AI Foundry, Azure OpenAI, hosted and self-hosted LLMs, GPU infrastructure, AI agents, LLM APIs, and integrating AI capabilities into applications and engineering workflows.
Workflow OrchestrationExperience with Temporal and n8n for durable workflows, distributed processes, retries, asynchronous execution, and automation.
Cloud Security & FinOpsHands-on experience with IAM/RBAC, Managed Identities, OIDC, secrets management, private networking, cloud cost analysis, resource attribution, and infrastructure cost optimization.
Web InfrastructureExperience with Nginx, Apache, Tomcat, IIS, load balancers, reverse proxies, TLS, and DNS.
Experience
Professional experience10+ years
Freelancer since2017
Languages
GermanBasic knowledgeEnglishFluentItalianBasic knowledgePolishBasic knowledgeRussianNative speakerUkrainianNative speaker
Project history
- Designed scalable architecture for computer vision processing using containerized microservices (FastMCP + FastAPI + workers)
- Integrated CVAT for annotation workflows and dataset management
- Built agent-based processing pipeline for inference tasks (queue-driven via SQS / RabbitMQ)
- Implemented distributed workers for GPU-based inference on AWS (ECS Fargate / EC2 GPU instances)
- Designed data flow between S3 storage, processing services, and annotation platform
- Optimized large file handling (images/videos) using streaming and S3 synchronization strategies
- Implemented secure and efficient inter-service communication (REST, async queues)
- Solved networking challenges (e.g., ALB access, VPC routing, NAT/hairpin scenarios)
- Designed retry, fault-tolerance, and job tracking mechanisms for long-running inference tasks
- Built CI/CD pipelines for services and infrastructure (Terraform, Docker, GitHub Actions)
- Integrated observability (CloudWatch, logs, metrics) for monitoring processing pipelines
- Architected long-running, fault-tolerant workflows using Temporal, modeling complex state transitions (ingestion, normalization, enrichment, correlation, AI analysis, human triage, ticketing and completion).
- Integrated multiple AI agents and copilots (ChatGPT, Devin, Cursor, GitHub Copilot) to assist with analysis, decision-making, and automated recommendations within workflows.
- Built a modular rules engine supporting hard rules, soft rules, AI-driven selection rules, and human-in-the-loop triage.
- Implemented pluggable integrations with external systems (GitHub, Jira, Azure DevOps), including ticket creation, updates, metadata synchronization, and attachment handling.
- Designed a secure attachment handling strategy, supporting in-memory, persisted, and externally hosted artifacts to work around third-party API limitations.
- Deployed and operated the platform in Azure (AKS / Container Apps) with Dockerized services, environment-aware configuration, and cloud-native observability.
- Focused on reliability and correctness: retries, idempotency, compensation logic, failure isolation, and deterministic workflow execution.
- Contributed to platform evolution toward agentic automation, where AI agents select actions while Temporal guarantees execution, consistency, and recovery.
- Supported and enhanced Java-based tooling for deploying Debezium-based Kafka Connect connectors to Kubernetes (Confluent Kafka).
- Improved the deployment workflow with features like dry-run validation, YAML transformation, and automated connector diffing.
- Maintained and extended Terraform codebase managing Databricks, AWS, and platform infrastructure.
- Integrated AWS Secrets Manager for secure credential storage and streamlined secrets access for deployed connectors and applications.
- Configured Britive profiles and policies for federated AWS access across multiple environments.
- Integrated BugSnag into Java applications to improve exception visibility and triaging, while also writing robust unit tests for maintainability.
- Monitored and analyzed logs via Sumo Logic, and built performance and health dashboards using Datadog.
- Participated in managing Ververica deployments and tuning streaming job configurations.
- Contributed to platform deployment pipelines using ArgoCD, supporting GitOps practices for Kubernetes resource management.