They work across EKS, AKS and GKE with Terraform, Helm and GitOps tooling, and they treat observability and security as part of the platform rather than a later phase. Several have run production clusters through genuine incidents, which is the experience you actually want when yours has one.
Platform work is easiest to judge by what stops happening: fewer failed deploys, shorter incidents, and a cloud bill that no longer surprises anyone. Expect these engineers to spend early time reading your existing setup rather than proposing a replacement, since most platforms are closer to workable than they look. Where a rebuild genuinely is warranted they will say so, and stage it so delivery never stops while the migration runs.
Typical stack
What they do
- Design and operate multi-environment Kubernetes platforms across AWS, Azure and GCP
- Codify infrastructure in Terraform so environments are reproducible and reviewable
- Build CI/CD and GitOps delivery pipelines with safe rollout and fast rollback
- Implement observability — metrics, logs, traces and alerts people actually act on
- Harden clusters with network policy, workload identity, image scanning and admission control
- Right-size compute and autoscaling to stop cloud spend drifting upward unnoticed
Use cases we deliver
Containerisation and migration
Moving legacy services onto Kubernetes incrementally with zero-downtime cutover, rather than a risky all-at-once migration weekend.
Platform reliability and observability
Introducing the metrics, tracing and alerting needed to find causes quickly, and cutting alert noise so on-call engineers trust their pager again.
Cloud cost and capacity optimisation
Applying autoscaling, right-sizing and workload scheduling to bring infrastructure spend down without trading away headroom or reliability.
Related specialisms
Frequently asked questions
Can they join an existing on-call rotation?
Yes, where the engagement is set up for it. Discuss it upfront so timezone overlap, escalation paths and handover documentation are agreed before the first incident rather than during it.
Do we need Kubernetes at all?
Often not. For a small number of services, managed container platforms are cheaper and far less operational burden. Our engineers will tell you when Kubernetes is more machinery than your problem justifies.
How do they handle security and compliance requirements?
By building controls into the platform: least-privilege access, secret management, image provenance and scanning, network segmentation, and audit trails that satisfy reviewers without a scramble before every audit.
Can they work with our existing Terraform and pipelines?
Yes. Inheriting and improving an existing setup is more common than greenfield work, and usually more valuable — the goal is to leave your team with something they can maintain, not a parallel system only we understand.
Aarav Desai
Kubernetes Engineer
Aarav Patel
Motivated Kubernetes Engineer
Aditya Menon
Cloud & Kubernetes Engineer
Amit Desai
Experienced Kubernetes DevOps Engineer
Amit Verma
Kubernetes Engineer -
Devansh Trivedi
Kubernetes Engineer
Harsh Vyas
Kubernetes Engineer
Karan Malhotra
Senior Kubernetes Engineer
Nandini Trivedi
Kubernetes Engineer
Neel Shah
Cloud and Kubernetes Engineer
Neeraj Patil
Kubernetes Engineer
Nikhil Desai
Kubernetes Engineer -
Nikhil Shah
Kubernetes Engineer
Priyansh Patel
Kubernetes Engineer
Rahul Deshmukh
Kubernetes Engineer
Rahul Sharma
Kubernetes Engineer -
Rohan Mehta
Kubernetes Engineer
Sagar Gupta
Results-driven Kubernetes Engineer
Sandeep Mehta
Senior Kubernetes & Cloud Platform Engineer
Siddharth Joshi
Kubernetes Platform Engineer
Vikram Joshi
Kubernetes Platform Engineer
Vikram Shetty
DevOps & Kubernetes Engineer
Vivaan Desai
DevOps and Kubernetes Engineer
