
Build and maintain production infrastructure with DevOps engineers who take direct ownership of your deployment pipelines, cloud environments, and system reliability from day one. Our teams bring hands-on depth across the full DevOps lifecycle, working inside your delivery cycles the way an in-house engineer would.
We are a software development company with our engineering team based in Mumbai, working directly with CTOs, infrastructure leads, and platform teams across the US and UK time zones.
Our DevOps engineers slot into active delivery cycles through a dedicated offshore model, taking ownership of pipeline operations, infrastructure reliability, and deployment processes without adding overhead to your team's existing workflows.





















From sharing your infrastructure brief to having an engineer inside your sprint cycle, our hiring process is built to move fast without skipping the right checks.
Tell us your cloud setup, toolchain, team size, and where things are breaking, we scope the right engineer fit from there.
We shortlist based on your cloud platform, pipeline type, and deployment environment, not a generic availability pool.
Your matched engineer works on a scoped task from your actual environment before any long-term commitment.
Your DevOps engineer joins your sprint cadence, tools, and reporting structure and starts contributing from day one.
The Tata Institute of Social Sciences needed a live text-based chat system for mental health crisis consultations, one that could handle unpredictable concurrent sessions with no tolerance for downtime or data loss under load.
We containerised the full Node.js backend using Docker, implemented Redis for session handling and message queuing, and deployed a Socket.io architecture built to absorb sudden spikes in active connections, with tracking container performance built into the deployment from the start.
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For teams that need CI/CD pipelines built, deployment automated, and cloud infrastructure managed across development and production environments.
For products where uptime and incident response are business-critical, covering SLO definition, error budget management, on-call ownership, and reliability automation.
For businesses in regulated industries that need security embedded into every pipeline stage, secret management, IAM policies, compliance automation, and dependency scanning.
Our engineers write Terraform and Ansible modules built for real environments, not quick setups that need rebuilding when the team scales or the cloud account grows. Every resource is versioned, peer-reviewed, and structured so the next engineer can work with it without starting over.
Our engineers design pipelines around deployment frequency, rollback reliability, and environment parity, using the right DevOps tooling and automation so the same configuration that works in staging doesn't break in production.
Monitoring added after the fact misses the signals that matter. Our engineers instrument applications and infrastructure during build, setting up Prometheus, Grafana, or Datadog dashboards that reflect real system behaviour, not just uptime checks.
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End-to-end deployment pipeline design and implementation covering build, test, and release stages across development, staging, and production environments using GitHub Actions, GitLab CI, Jenkins, and CircleCI.
Docker and Kubernetes environment setup and management covering cluster configuration, workload scheduling, autoscaling policies, and rolling deployment strategies across development and production.
Provisioning and maintaining cloud environments across AWS, GCP, and Azure, covering networking, IAM configuration, compute and storage setup, and environment consistency across development, staging, and production accounts.
Designing and managing infrastructure that spans multiple cloud providers or combines cloud and on-premise environments, covering cloud-native architecture patterns for cross-platform networking, unified access management, and workload distribution across AWS, GCP, and Azure.
Git-driven infrastructure and application state management using ArgoCD and Flux, where every environment change is version-controlled, auditable, and automatically reconciled without manual intervention.
Full observability stack setup using Prometheus, Grafana, and Datadog, covering infrastructure dashboards, application metrics, log aggregation, alert configuration, and on-call runbook documentation.
Security embedded directly into pipeline stages through secret management with HashiCorp Vault, dependency scanning, IAM enforcement, and automated compliance checks for SOC 2 and HIPAA environments.
Cloud spend auditing and infrastructure restructuring covering right-sizing, reserved capacity planning, unused resource cleanup, and spend visibility dashboards across accounts and teams.
Recovery architecture design and testing covering RTO and RPO planning, automated backup configuration, failover setup, and runbooks that hold up when production systems go down.
Structured for long-term DevOps ownership across active infrastructure management, pipeline operations, and ongoing production environment responsibilities.
The engineer works exclusively within your team across your working hours and time zone, no context switching between other clients or projects.
Long-term involvement builds working knowledge of your cloud environment, deployment architecture, and infrastructure decisions that a short-term engagement can't replicate.
Production incidents, environment issues, and pipeline failures are handled directly by the same engineer who built and maintains the system.
The engagement scales with your release cadence, whether that's multiple deploys a day or structured monthly release cycles.
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Our DevOps engineers work across product stages where infrastructure requirements, deployment complexity, and team ownership needs differ significantly from one phase to the next.
Teams building their first product typically need infrastructure set up correctly from the start — a reliable CI/CD pipeline, a cloud environment that won't need rebuilding in six months. Our DevOps engineers work with early-stage teams who need production-ready infrastructure without the overhead of a full-time in-house hire.
As deployment frequency and team size increase, DevOps requirements shift toward pipeline reliability, environment standardisation, cloud cost control, and observability setups that give engineers visibility into production behaviour.

Larger organisations and regulated products require DevOps at the level of governance — multi-cloud infrastructure management, compliance automation, and internal developer platforms that reduce toil across multiple engineering teams.
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.