Cloud Migration
On-prem to cloud, cloud-to-cloud, lift-and-shift or re-architecture — zero-downtime strategie
Cloud Engineering Services
Hire Cloud Engineers Who Build Scalable, Secure Infrastructure
Cloud infrastructure rarely grows at the same pace as the engineering team. TechBar provides cloud specialists with battle-tested production experience ready to join your project within 1–2 weeks.
Why TechBar
Why Choose TechBar for Cloud Engineering
TechBar augments your team with cloud infrastructure engineers to absorb tasks that slow your progress and distract from product development. Our engineers work within your existing systems and follow your established release cycles.
Each engineer has experience working with production infrastructure under pressure. The goal is simple: keep systems stable, make changes safely, and avoid introducing additional complexity.
When You Need Cloud Engineers
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Your cloud infrastructure is growing, but the team cannot keep up with architecture and operational work. -
You've planned a migration to AWS, Azure, or GCP, but your team lacks hands-on production experience.
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Infrastructure changes depend on Terraform or IaC, but there is no dedicated specialist.
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Cloud costs continue to increase after scaling, and FinOps practices are not in place.
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Kubernetes workloads are running in production, but reliability and ownership are unclear.
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Compliance standards (GDPR, SOC2) impact architecture, but the team needs cloud security engineers.
What we build
Cloud Engineering Solutions
Cloud Engineering Solutions
We Help You Deliver
Cloud-Native Development
Microservices, serverless, event-driven architectures built for scale from day one
Infrastructure as Code
Terraform, CloudFormation, Bicep — repeatable, version-controlled, auditable infra
Cloud Costs Stay Under Control as You Scale
FinOps, right-sizing, reserved instances, spot strategies — cut cloud bills by 30-50%
Multi-Cloud Strategy
AWS + Azure + GCP — avoid vendor lock-in with portable, resilient architectur
Cloud Security & Compliance
Zero-trust, IAM, encryption, GDPR/HIPAA/SOC2 — security as architecture, not afterthought
Containerization & K8s
Docker, Kubernetes, service mesh — modernize legacy apps into scalable containers
Monitoring & SRE
Prometheus, Grafana, alerting, SLOs — observability that prevents incidents, not just detects them
How we work
Our Structured Engagement Framework
Five stages with clear deliverables at each step. The framework reduces uncertainty from the first conversation through ongoing delivery.
Schedule a Discovery Call
Advantages
Benefits of Cloud Engineering
Benefits of Cloud Engineering
Services with TechBar
Infrastructure Work Stops Slowing Product Development
Cloud work no longer blocks feature delivery. Our experts take over infrastructure tasks so the product team can stay focused on building.
Engineers Ready to Join in 1–2 Weeks
New specialists join ongoing work quickly and pick up tasks already in progress. This model helps companies hire cloud engineers without pausing ongoing work.
Production Stays Stable Under Load
Infrastructure holds up under real traffic, scaling, and failure scenarios. Production incidents become easier to handle and less frequent.
tag Infrastructure Changes Become Predictable
TechBar engineers track, review, and apply changes in a controlled way. Releases become more stable and easier to manage.
Security and Compliance Are Built Into the Setup
Our specialists define access rules, network boundaries, and compliance constraints directly in the infrastructure.
Cloud Costs Stay Under Control as You Scale
Infrastructure scales with demand and keeps costs predictable. Resource usage follows real load.
Available expertise
Cloud Engineers Ready to Join Your Team
These are example profiles from our bench, including AWS cloud engineers and DevOps specialists, all with production experience and available to join ongoing work.
Alex R.
AWS Solutions Architect
- 8+ years
- EU
- Available now
Designed cloud-native architectures on AWS for high-load systems with 1M+ monthly users. Reduced infrastructure costs by 38% through rightsizing and autoscaling strategies, while improving system uptime to 99.95%.
- AWS
- CloudFormation
- EKS
- Python
- Terraform
Artem M.
Azure Cloud Engineer
- 7+ years
- EU
- Available now
Implemented scalable Azure-based solutions with AKS and Azure DevOps, reducing deployment cycles from hours to minutes. Automated infrastructure provisioning, cutting manual effort by 65% and improving delivery speed.
- .NET
- AKS
- Azure
- Azure DevOps
- Bicep
Serhii M.
Senior DevOps / SRE Engineer
- 8+ years
- EU
- Available now
Built and maintained Kubernetes-based platforms supporting 100+ microservices. Reduced incident response time by 50% through advanced monitoring and alerting systems, improving overall system reliability.
- ArgoCD
- Grafana
- Helm
- Kubernetes
- Prometheus
Dima N.
Cloud Security Specialist
- 6+ years
- EU
- Available now
Implemented security frameworks across cloud environments, ensuring compliance with SOC2 and ISO standards. Reduced security vulnerabilities by 70% through automated scanning, IAM optimization, and policy enforcement.
- AWS Security Hub
- Compliance
- IAM
- SIEM
- Vault
Andrew K.
Kubernetes / Platform Engineer
- 5+ years
- EU
- Available now
Developed internal platform solutions on Kubernetes, enabling teams to deploy services 3x faster. Improved system scalability and reduced operational overhead by 40% through standardized tooling and automation.
- Go
- Istio
- Kubernetes
- Linux
- Terraform
Artem V.
Cloud Migration Engineer
- 7+ years
- EU
- Available in 2 weeks
Led migration of legacy systems to cloud environments, moving 20+ services with zero downtime. Reduced operational costs by 45% and improved system performance through optimized cloud architecture.
- .NET
- Azure
- CI/CD
- Docker
- Terraform
Technology depth
Cloud Technologies
Cloud Technologies
Our Engineers Work With Daily
- EC2 AWS
- S3 AWS
- EKS AWS
- Lambda AWS
- AKS Azure
- Functions Azure
- Azure DevOps Azure
- GKE GCP
- Cloud Run GCP
- BigQuery GCP
- Terraform IaC
- Kubernetes Orchestration
- Ansible Configuration
- Helm K8s Packaging
- ArgoCD GitOps
- Prometheus Monitoring
- Grafana Observability
- GitHub Actions CI/CD
- Go Languages
- Vault Secrets
- Istio Service Mesh
Engagement models
Staff Augmentation, Dedicated Teams, and Centers of Excellence
Not every engineering challenge requires the same setup. Some projects need one senior
engineer on short notice. Others require a full capability center. TechBar structures the
engagement to match your scope.
Client testimonials
What Clients Say About Our Engineering Teams
Verified reviews from
— 5.0 overall rating across all engagements.
Techbar developed an AI-powered sales automation ecosystem for a business acceleration services company, including a revenue growth engine and agentic AI sales assistants. The solution improved visibility into pipeline and conversion performance, reduced manual effort in sales workflows, and enabled faster lead handling and follow-ups across multiple channels. It also established a scalable foundation for future voice integrations and further automation.
The goal was to build an AI-assisted career guidance platform for a career services company. The Techbar team delivered a solution combining a structured multi-session assessment with a database of over 4,000 careers. It includes a recommendation engine, career clustering, and personalized summaries based on user skills, interests, and preferences, along with CV guidance and a public-facing platform with authentication and optional 1-to-1 session booking with the founder.
The project involved developing a website for a mergers and acquisitions firm, based on an approved design concept. Techbar delivered a solution aligned with the client’s global M&A advisory positioning, including responsive front-end implementation and CMS configuration for easy content management across offices and service pages. The website was optimized for performance, built with an SEO-ready structure, and ensured full alignment with the approved design.
FAQ
Frequently Asked Questions About Cloud Engineering Services
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How quickly can a cloud engineer join our team?
The process starts with profile matching. You receive relevant cloud engineer profiles within a few days based on your stack and project scope. After interviews, onboarding usually takes 1–2 weeks. Cloud specialists join your team, attend your standups, and start working within your existing SDLC.
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How do you ensure zero downtime during migration?
Zero downtime depends on system design, but engineers structure migration to keep production stable.
Typical stabilization steps include:
- Breaking migration into controlled phases;
- Mapping dependencies between services;
- Shifting traffic gradually;
- Preparing rollback scenarios before each step;
- Validating changes in staging environments.
This approach is especially important in cloud native development, where multiple services and deployment dependencies move together.
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What factors should I consider when choosing a cloud engineering company?
We recommend focusing on how a vendor works in real projects, including:
- Production experience with live systems;
- Ability to work inside your SDLC and existing workflows;
- Experience with AWS, Azure, or GCP platforms;
- Understanding of security and compliance requirements;
- Clear onboarding process and realistic timelines.
It also helps to look at the actual depth behind the profiles. For example, a business may need infrastructure-as-code engineers, Azure cloud engineers, or someone they would otherwise hire as a site reliability engineer.
These factors affect the final result more than certifications or vendor labels. Even when a company offers AWS-certified engineers in Europe, production judgment still matters more than badges alone.
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How can cloud engineering reduce our infrastructure costs?
Cost reduction starts with understanding how infrastructure behaves in production.
The most common improvements include:
- Removing unused or idle resources;
- Adjusting instance sizes based on real load;
- Introducing reserved capacity where it makes sense;
- Aligning infrastructure with actual usage patterns.
Over time, cost control becomes part of daily engineering work through FinOps cloud cost optimization. This outcome is expected from cloud strategy engineering services when infrastructure grows faster than internal capacity can support.
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What cloud platforms do your engineers work with?
Our experts join your AWS, Azure, or GCP environment and work within your existing services and tools.
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Can we scale the cloud engineering team up or down?
Sure. Team size follows your workload, meaning that you can:
- Start with one engineer and expand if your scope grows;
- Add specialists for migration, security, or reliability tasks, including cases where you need to hire a DevOps engineer remotely for ongoing infrastructure work;
- Reduce the team after a release or stabilization phase.
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What is the difference between cloud migration and cloud transformation?
Cloud migration focuses on moving existing workloads to the cloud. Cloud transformation changes how you build and operate systems.
In other words:
- Migration is the process of moving workloads to cloud infrastructure.
- Transformation implies redesigning architecture, automation, and operations.
Transformation usually happens after or alongside migration, when businesses improve how systems run in production. That work may include automation, platform redesign, and cloud strategy engineering services.
