Hi, I’m Shivam.
Backend Engineering, DevOps & Cloud engineer
I am currently focused on Backend engineering, DevOps, and Cloud Infrastructure.
My work sits around APIs, CI/CD, containers, AWS, Kubernetes, observability, and open source in the CNCF ecosystem. I ship fast, take ownership of my work, and stay close to the mess to fix it when it breaks.
Current Focus
Learning a lot about backend engineering, distributed systems and cloud infrastructure.
Current loop: design, build, ship, observe, and improve.
Backend + DevOps + Cloud
OSS contributor
Technical writer
The backend, DevOps, cloud, and CNCF work I focus on.
I like startup-style engineering: move fast, own the mess, ship the thing, then stay close enough to fix it when it breaks.
Most of my work sits around backend services, CI/CD, containers, Kubernetes, cloud infrastructure, observability, and deployment reliability.
I care about systems that are simple to run. A deploy should be boring. Logs should tell the truth. Infra should be understandable when the pager is loud.
I also read and learn backend engineering and distributed systems deeply, because the theory starts to matter once real systems hit load, latency, and failure.
Working principles
Engineering focus
Building APIs, workers, queues, and data paths that can take real traffic and still be understood when something breaks.
Current threads: REST, Queues, Retries, Idempotency, Postgres, Redis, Kafka, Background jobs, and clean service ownership.
Shipping code through CI/CD, containers, cloud infrastructure, and release flows that do not fall apart under pressure.
Current threads: CI/CD, Docker, AWS, Terraform, Linux, environments, rollbacks, secrets, and deploy hygiene.
Working with clusters, workloads, networking, metrics, and the infrastructure around services after they leave localhost.
Current threads: Kubernetes, Helm, Nginx, Prometheus, observability, scaling behavior, and cluster operations.
Learning the parts of backend engineering that show up when one machine is not enough and failure becomes normal.
Current threads: replication, consensus, partitions, queues, caches, timeouts, coordination, and failure modes.
Backend, DevOps, cloud, Kubernetes, and CNCF ecosystem work.
Sept 2024 - Nov 2024
Remote (San Jose, USA org)
Linux Foundation Mentorship - Kyverno
Contributed controller-level code to Kyverno, working on Kubernetes policy lifecycle management, cleanup behavior, and reconciliation paths.
Tools I use to build services, ship releases, run cloud infrastructure, and work across Kubernetes.
Languages
Backend
DevOps and delivery
Cloud and platform
CNCF and OSS
Commits, experiments, fixes, and the small reps behind the bigger work.
731 contributions in the last year
Backend, DevOps, cloud-native, and infrastructure projects with practical operating concerns.
Active Development
2025 - PresentA distributed media transcoding platform that orchestrates video processing workloads across scalable workers using asynchronous job queues, object storage, and containerized FFmpeg pipelines.
Research papers I’m reading to build better intuition around backend systems, distributed systems, databases, and infrastructure.
Paper
A readable path into consensus, leader election, replicated logs, and the edge cases hidden inside “understandable.”
Leader election, log replication, safety rules, and failure timing.
Paper
A clean model for splitting large jobs across machines while still handling scheduling, retries, stragglers, and locality.
How a simple programming model hides the hard parts of distributed execution.
Paper
A storage paper about tablets, locality, compaction, and the shape of a distributed database built on top of a file system.
Tablet serving, compaction, data locality, and structured storage at large scale.
Short notes from backend work, DevOps, cloud setup, Kubernetes, and OSS contribution work.
Computer Networking
Learn what tail latency is, how p50, p95 and p99 are calculated, why averages hide performance problems, and why modern distributed systems optimize for the slowest requests instead of the average.
0 min read
Kubernetes
Most engineers know Kubernetes uses etcd. Fewer understand why it needs it. This article explores the state-management problem etcd solves and why the control plane depends on it.
21 min read
Backend Engineering
A practical engineering perspective on why moving from monoliths to microservices often breaks operational assumptions long before it improves scalability.
7 min read
Contact
If you have an opportunity, a question, or just want to say hi, feel free to reach out. I’m always open to connecting with fellow engineers, discussing potential collaborations, or sharing insights on backend systems, DevOps, cloud infrastructure, and Kubernetes.