Live opening · Posted 2 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About Mogi I/O
We build video infrastructure — live streaming, video-on-demand, transcoding and protected delivery — for media companies, creators and government projects. Our platform runs on Kubernetes across AWS and GCP, and our engineers own their systems end to end, from code to production.
What You'll Do
You will design, build and run the Go services and infrastructure that keep our streams fast, secure and available under heavy load.
Backend & Distributed Systems
Design and build high-throughput, concurrent Go services (goroutines, channels, context) that serve tens of millions of requests per day.
Plan capacity and optimise services as traffic grows by an order of magnitude.
Build safeguards against cascading failures — timeouts, retries, circuit breaking, rate limiting — so the platform holds up during traffic spikes.
Build stateless, horizontally scalable APIs backed by PostgreSQL, MongoDB, Redis and RabbitMQ.
Streaming & Media
Own live-streaming pipelines over RTMP/RTMPS, HLS and WebRTC, and push end-to-end latency down to a few seconds.
Build and maintain transcoding and packaging pipelines with FFmpeg and Shaka Packager (CMAF, fMP4), tuned for low-bandwidth devices and fast startup.
Build HLS encryption, URL signing and protected delivery through AWS CloudFront.
Run re-streaming to third-party platforms such as YouTube and Instagram.
Cloud, Kubernetes & DevOps
Operate multi-region, multi-cluster Kubernetes on AWS (EKS) and GCP (GKE), including cross-cluster ingress and load balancing.
Manage infrastructure as code with Terraform across production and test environments.
Ship through GitOps with Argo CD and CI/CD pipelines on Jenkins and Docker.
Build serverless components on AWS Lambda where they fit, such as scheduling and EPG jobs.
Reliability & Performance
Run distributed load tests (Locust) to validate performance and failure behaviour before launches.
Instrument services with Prometheus and Grafana, and own their alerts and dashboards.
Review code, mentor engineers and set backend standards for the team.
What We're Looking For
You have 4+ years building backend systems and running the cloud infrastructure they deploy on, with Go services in production at scale.
Strong Go: concurrency patterns, goroutines, channels, context, profiling and memory tuning.
Proven work on distributed systems that handle millions of requests per day, with measurable gains in latency, throughput or reliability.
Hands-on experience with at least one of FFmpeg, HLS, RTMP/RTMPS or WebRTC.
Production Kubernetes and Docker on AWS or GCP.
Infrastructure as code with Terraform, plus CI/CD (Jenkins, GitHub Actions or similar).
PostgreSQL or MongoDB, Redis, and a message broker such as RabbitMQ.
Comfort with networking fundamentals: TCP, WebSockets, load balancing, CDNs.
Monitoring with Prometheus and Grafana, and experience debugging live incidents.
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Nice to Have
GitOps with Argo CD.
Packaging with Shaka Packager, CMAF and fMP4; DRM or HLS AES encryption.
AWS Lambda, CloudFront and signed-URL delivery.
Multi-region or multi-cluster Kubernetes with cross-cluster traffic management.
Load testing at scale with Locust, k6 or similar.
Working knowledge of Python or Node.js.
Open-source work or side projects in high-concurrency networking — for example WebSocket servers, TCP servers or P2P systems.
Why Join Mogi I/O
Work on real scale: live and on-demand video serving tens of millions of requests a day.
Own systems end to end — design, infrastructure, deployment and on-call.
Ship work with visible impact, from sub-5-second live latency to national-scale government projects.
A small, senior team where your decisions shape the platform.
Competitive salary, based on experience.
Compensation & Salary Package
Annual Compensation: ₹12,00,000 (₹12 LPA)
We offer a competitive annual compensation package of ₹12 LPA for this position, providing an opportunity to work on large-scale video infrastructure and high-impact engineering projects.
How to Apply
Send your resume and GitHub profile to hr@mogiio.com with the subject line "Senior Backend and DevOps Engineer".
Tell us about one system you scaled or one latency problem you solved, with the numbers.
Learn more about us at mogiio.com.
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