CV
Boriss Serikovs
Lead Cloud / DevOps Engineer - Azure Infrastructure, Migrations & AI-Assisted Automation
Summary
I design and deliver cloud infrastructure at enterprise scale, with a track record of leading migrations to Microsoft Azure, from legacy on-premise platforms to multi-application AWS to Azure programmes, where I own the architecture end to end, from network topology to production rollout. My core strength is Infrastructure as Code: I build reusable Terraform modules and standardized deployment patterns that make environments reproducible and disposable on demand. I take full ownership of CI/CD in GitLab and Azure DevOps, automating build, testing, and deployment so that releases are repeatable and low risk. Security is built into my designs rather than added afterwards, through Hub-and-Spoke topologies, Private Endpoints, firewall policies, and secret management that keeps credentials out of pipelines. I also apply AI-assisted workflows and MCP tooling to infrastructure delivery, and act as a technical reference for the teams I work with through code reviews, mentoring, and knowledge sharing.
Professional Experience
EPAM, Lead System Engineer on LSEG migration (12/2025-Present)
Project: Migration of a suite of enterprise analytics applications from AWS to Azure, ensuring seamless integration, optimized performance, and minimal disruption to operational workflows.
- Led infrastructure enablement for a large-scale AWS to Azure migration, supporting a dual-cloud deployment strategy with full compatibility, security, and operational continuity.
- Designed Azure Infrastructure as Code in Terraform, building reusable modules and standardized deployment patterns for compute, networking, and security aligned with enterprise governance policies.
- Architected GitLab CI/CD pipelines serving both AWS and Azure environments, automating infrastructure provisioning and application deployment through reusable YAML templates.
- Implemented secure authentication and secret management with HashiCorp Vault and service principals, enabling fully automated, compliant deployments without exposing credentials.
- Configured Azure networking to strict security requirements: Private Endpoints, Hub-and-Spoke topology, Firewall policies, Virtual Networks, and secure connectivity.
- Integrated Datadog monitoring and JFrog Artifactory artifact management for reliable deployment validation and operational visibility across environments.
- Acted as the primary technical reference for Azure policies, Terraform standards, and deployment practices; ran code reviews, mentored engineers, and led knowledge-sharing sessions, reducing onboarding time and deployment issues.
- Raised engineering productivity through standardized IaC practices, reusable CI/CD templates, AI-assisted development workflows, and Terraform change comparison strategies, cutting deployment failures.
Tech stack: Microsoft Azure, AWS, Terraform, GitLab CI/CD, YAML, HashiCorp Vault, Datadog, JFrog Artifactory, Azure Private Endpoints, Hub-and-Spoke, Azure Firewall, VNET, Service Principals, Azure Policy.
Microsoft UK, Senior System Engineer on LSEG migration (05/2025-12/2025)
Project: Cloud migration programme moving a legacy on-premise enterprise platform to Microsoft Azure, covering discovery, architecture design, and full production rollout.
- Led the full-scale migration of a legacy on-premise Java platform to a production-grade Azure architecture, designing a secure, highly available infrastructure with Hub-and-Spoke topology, isolated private networking, firewall policies, and controlled third-party connectivity.
- Architected Azure App Services with custom domains across three fully isolated environments (development, staging, production), including secure service integrations and backup and recovery strategies.
- Built end-to-end GitLab CI/CD pipelines for Gradle-based Java applications with JFrog artifact management, fully automating build, testing, and deployment.
- Provisioned the entire cloud infrastructure and application stack with Terraform, ensuring reproducible environments and one-command deployment and teardown.
- Migrated PostgreSQL databases to Azure with cross-region replication and automated failover for disaster recovery, and developed Bash-based pipelines for full data migration and initialization from the legacy environment.
- Delivered a fully cloud-native deployment model, replacing on-premise infrastructure with a scalable, secure, and automated Azure platform.
Tech stack: Microsoft Azure, Terraform, GitLab CI/CD, Java, Gradle, JFrog Artifactory, Azure App Service, Azure Database for PostgreSQL, Hub-and-Spoke, Azure Firewall, Private Endpoints, BASH, Linux.
Confidential client (translation services), DevOps Engineer (2025-2026)
Project: On-premise infrastructure for an AI-powered text translation platform.
- Deployed and configured MateCat in a local Linux environment as part of the on-premise infrastructure for AI-powered text translation.
- Containerized MateCat with Docker and integrated it with the application, managing delivery through GitLab and using Cursor for AI-assisted development.
Tech stack: Linux, Docker, MateCat, GitLab, Cursor, on-premise infrastructure.
Project: Greenfield cloud infrastructure for a platform selling construction machinery.
- Designed the entire architecture from scratch, owning solution planning, sprint planning, and delivery of the full infrastructure roadmap.
- Built the whole environment in Azure using Terraform, including network topology design, secure networking configuration, and server provisioning.
- Designed and configured end-to-end CI/CD pipelines covering build, release, and application deployment to Azure.
- Provisioned and configured the Azure platform services behind the application with Terraform, including Azure Data Factory, SQL Managed Instances, and Front Door.
- Set up and configured monitoring and log analysis with Elasticsearch, providing visibility into application health across environments.
- Leveraged MCP connectors and AI agents in Cursor to build and automate infrastructure, accelerating delivery.
Tech stack: Microsoft Azure, Terraform, CI/CD pipelines, Azure Data Factory, Azure SQL Managed Instance, Azure Front Door, Elasticsearch, network topology, MCP connectors, AI agents, Cursor.
Arvato Systems Latvia, SRE, Operations (12/2023-05/2025)
Senior DevOps, Infrastructure Engineer, Cloud Application Support, Cloud Platform Support, Cloud Platform Developer
- Supported the operational demands of over 200+ concurrent projects by embedding SRE standards to ensure high system reliability and performance.
- Conducted in-depth troubleshooting to reduce downtime through efficient incident resolution and automation of routine tasks.
- Provisioned and orchestrated scalable, repeatable cloud infrastructure using Terraform across multiple environments.
- Configured secure network solutions, including Azure Firewall, VPN gateways, VWAN hubs, VNET peering, NAT, and S2S tunnels, to support segmented, high-security infrastructures.
- Developed reusable Terraform modules to standardize infrastructure provisioning and ensure consistent deployments across teams and projects.
- Integrated monitoring, logging, and alerting solutions to automate detection and resolution workflows, improving system observability.
- Managed and optimized multiple AKS cluster monitoring configurations, ensuring version control, scalability, and efficient memory utilization with Helm chart configurations.
- Performed resource retirement and migration from single servers to flexible infrastructure, along with API management during new instance migrations.
- Leveraged Microsoft's Cloud Adoption Framework (Landing Zone) to ensure compliance and adherence to best practices in configuration and deployment.
- Consulted with clients to provide resource information and guidance on infrastructure solutions.
Tech stack: SRE Standards, Cloud Adoption Framework (Landing Zone), Azure DevOps, Terraform Modules, Azure Terraform, YML, PowerShell, CLI, SHELL, Linux, Packer, DevOps, Flexible servers, Azure Front Door, VMs, AKS, AppGateway, NSG, VNET, NAT gateway, WAF, Web Services, Log Analytics, ACR, Management Groups, etc.
Altudo, Development Service, Microservices Implementation (06/2023-12/2023)
DevOps, Infrastructure Engineer
- Main responsibilities in this project create and configure infrastructure in Microsoft Azure, develop Bicep templates for resource deployment, actively automate processes using Shell, PowerShell, and CLI scripts, configure Docker containers, and set up OPEN API in API Management for API management and documentation. This work streamlines development processes, enhances scalability and reliability, and improves API accessibility.
Tech stack: .NET Framework, YML, PowerShell, CLI, SHELL, Microsoft Azure, GitHub Actions, SQL, Docker container, Bicep, Linux, API management, open API, Linux.
Accenture, Development Service (12/2020-06/2023)
DevOps Team Lead, Infrastructure Engineer
- Main responsibilities in this project for one country's European Union government, serving as the infrastructure engineer responsible for setting up and maintaining multiple environments in Microsoft Azure, deploying over 16 specialized applications, and creating CI/CD pipelines to streamline the development and deployment processes. My expertise encompassed scripting, ARM/Bicep templates, App Service configuration, Service Bus integration, and Application Insights setup etc., all contributing to the successful delivery of robust solutions tailored to governmental requirements within the EU.
Tech stack: .NET Framework, ARM/Bicep templates, JSON, Angular, YML, PowerShell, Microsoft Azure, Azure DevOps, SQL, Docker container, Sonar Cloud, Linux.
Accenture, Sitecore Service (02/2020-11/2020)
DevOps, Infrastructure Engineer
- Maintaining existing infrastructure in Azure, improve and create PowerShell scripts, YML and ARM templates. Improve build and release pipelines in GitLab, manage and configure Apache Solr search platform. Maintaining backups and restoring databases in Azure SQL Server.
Tech stack: ARM templates, DSC, JSON, YML, PowerShell, Apache Solr, Microsoft Azure, GitLab CI/CD, SQL.
Education
- Riga Coding School (2019)
"Programming basics in 6 weeks" certificate achieved. Theoretical knowledge and practical skills have been acquired in the framework of the courses.
- Riga Technical University (2012-2017)
Information identifying the qualification: Professional Bachelor Degree in Entrepreneurship and Management and Economist Qualification.
Certifications
- AI-900 (Azure AI Fundamentals)
- AZ-400 (Designing and Implementing Microsoft DevOps Solutions)
- AZ-305 (Designing Microsoft Azure Infrastructure Solutions)
- Microsoft Certified: Azure Solutions Architect Expert
- AZ-104 (Microsoft Azure Administrator)
- AZ-900 (Azure Fundamentals)
Courses
- Nvidia Generative AI Explained Course
Skills, Tools & Technologies
Programming & Scripting:
- Python
- PowerShell
- BASH
- CLI
- KQL
Frameworks & Platforms:
- Azure Cloud
- .NET
- .NET Core
Message brokers:
- Azure Service Bus
- RabbitMQ
Databases:
- Microsoft SQL Server
- Azure SQL
- PostgreSQL
- CosmosDB
- MongoDB
DevOps & CI/CD:
- Git
- GitHub Workflows/Actions
- Azure DevOps
- GitLab
- TeamCity
- Octopus Deploy
Containerization:
- Docker
- Kubernetes
- Helm
- Azure Container Registry
- K9s
Monitoring & Observability:
Infrastructure as Code (IaC):
- Bicep
- ARM Templates
- Terraform
AI & MCP:
- AI development tools: Cursor, Claude Code, GitHub Copilot, AI agents & AI-assisted development workflows
- MCP: Model Context Protocol, Azure MCP Server, Context7, Perplexity, Linear, Sentry, Supabase, Stitch, TestSprite
Web Servers:
Azure Cloud Services (PaaS/SaaS/IaaS):
- Compute: Virtual Machines, Kubernetes Service (AKS), Functions, App Service, Container Instances (ACI)
- Networking: Virtual Network (VNet), Load Balancer, Application Gateway, Traffic Manager, VPN Gateway, DNS, Firewall, Front Door, CDN
- Storage & Data: Blob / Disk / File / Queue Storage, SQL Database, SQL Managed Instance, Cosmos DB, Database for PostgreSQL, Database for MySQL, Cache for Redis, Database Migration Service, Data Factory
- Identity & Security: Entra ID (Azure AD), AD B2C, AD Domain Services, Multi-Factor Authentication (MFA), Key Vault, Privileged Identity Management (PIM), Policy
- DevOps & Monitoring: Azure DevOps Services, DevTest Labs, Monitor, Application Insights, Backup
- Integration & Automation: API Management, Logic Apps, Event Grid, Automation, Machine Learning
AWS Cloud Services:
- Amazon VPC
- Amazon EC2 instances
- Amazon Route 53
Other Skills:
- Branch strategy
- CI/CD
- DevOps
- Infrastructure as Code (IaC)
- Release managment
Language Skills
- English - B1 (Intermediate)
- Russian - Native (C2)
- Latvian - C1 (Fluent)
