
Build production-ready Kubernetes platforms with experienced developers specializing in container orchestration, platform engineering, and cluster operations. From Kubernetes adoption and application migration to GitOps, deployment automation, and cluster lifecycle management, our engineers contribute across the complete Kubernetes platform lifecycle.
Global engineering teams need Kubernetes specialists who can contribute consistently across distributed teams, evolving platforms, and long-term engineering roadmaps.
Our Kubernetes developers support businesses across international markets by following structured delivery processes, established engineering standards, and transparent collaboration practices that align with existing product and platform teams.





















Tell us about your Kubernetes environment, cloud platform, application architecture, technology stack, and delivery goals. This helps us identify the Kubernetes expertise your project requires.
We recommend Kubernetes developers based on relevant project experience, production Kubernetes expertise, cloud platforms, and the tools and technologies your engineering environment relies on.
Evaluate shortlisted developers for Kubernetes expertise, problem-solving approach, communication skills, and team fit before making your hiring decision.
Your Kubernetes developer joins your engineering workflows, deployment pipelines, and contributes to platform development, cluster operations, and ongoing engineering support.
MyGlamm needed to modernize its application architecture to support increasing traffic, simplify service deployments, and improve engineering efficiency as the platform continued to grow.
Our engineering team redesigned the platform using a microservices architecture with Node.js, Docker, RabbitMQ, Redis, Elasticsearch, and MySQL.
The new architecture improved service independence, streamlined deployments, and established a container-ready foundation capable of supporting modern Kubernetes-based application platforms.

Build and standardize Kubernetes platforms that support application teams through automated infrastructure, deployment workflows, internal platform tooling, and production operations. Best suited for organizations scaling cloud-native engineering across multiple teams.
Automate Kubernetes deployments, CI/CD pipelines, infrastructure provisioning, serverless discovery, and cloud operations while improving release consistency, monitoring, and operational efficiency.
Maintain reliable Kubernetes environments through performance optimization, observability, incident response, capacity planning, and production reliability. Best suited for businesses running high-availability applications with demanding operational requirements.
Running Kubernetes successfully requires engineering experience beyond cluster provisioning. Our developers build and manage Kubernetes environments designed for production workloads, with engineering decisions focused on stability, operational consistency, and long-term platform maintainability as applications and infrastructure continue to evolve.
Kubernetes platforms require continuous engineering after deployment. Our developers support cluster lifecycle management, workload scaling, platform upgrades, operational governance, and performance optimization, helping businesses maintain reliable Kubernetes environments throughout ongoing development.
Successful Kubernetes engineering depends on consistent deployment practices, standardized platform configurations, and disciplined operational processes. Our developers follow established engineering standards that improve collaboration, simplify platform management, and reduce operational complexity across distributed engineering teams.
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Design, build, and standardize Kubernetes platforms that support reliable application deployments, automated operations, and long-term infrastructure management across production environments.
Modernize legacy applications and migrate containerized workloads to Kubernetes with architectures designed for improved deployment consistency, scalability, and operational efficiency with the correct containerization approach.
Modernize legacy applications and migrate containerized workloads to Kubernetes with architectures designed for improved deployment consistency, scalability, and operational efficiency.
Automate application delivery through Kubernetes-native deployment workflows, CI/CD automation, GitOps practices, and release automation to improve deployment speed and consistency.
Develop Kubernetes-ready applications using microservices and container-based architectures that support independent deployments, service scalability, and modern software delivery practices.
Support production Kubernetes environments through cluster lifecycle management, workload optimization, monitoring container workloads, platform upgrades, incident response, and ongoing operational improvements.
Strengthen Kubernetes environments with secure cluster configurations, access controls, policy enforcement, secrets management, and automated security practices aligned with production requirements.
Deploy and manage Kubernetes across AWS, Azure, Google Cloud, multi-cloud, and hybrid environments while maintaining consistent platform operations and deployment practices.
Improve Kubernetes resource utilization through workload optimization, autoscaling strategies, capacity planning, and infrastructure tuning to maintain application performance while controlling operational costs.
Your dedicated developer owns cluster architecture, RBAC, and infrastructure changes end-to-end, working exclusively on your environment.
Keeping the same engineer across the engagement preserves knowledge of past decisions, configuration history, and incident context, cutting re-onboarding time as the platform evolves.
The developer reports to your engineering lead and sits inside your team structure, rather than rotating through a shared vendor pool.
Dedicated availability for incident response within your defined SLAs, without competing for attention against other clients' clusters.
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Build on a cluster foundation that supports growth from the start. Kubernetes developers establish scalable architecture and deployment workflows that reduce future rework as the product evolves.
As traffic and workloads grow, Kubernetes developers help modernise cluster environments, automate deployments, and support increasing engineering demand.

Support large-scale Kubernetes environments through platform engineering, multi-cluster governance, and production operations aligned with established enterprise practices.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.