Software Engineer - Infrastructure

Kuku; Bengaluru; On-site; INR 1,800,000 - 3,500,000; Full time

Benefits offered by this job

Full ownership

ESOPs

Learning budget

Reliability culture

Job summary

Kuku is seeking a Backend/Infra Engineer to help build and scale data pipelines, ML infrastructure, and platform tooling. You will own components, work on observability, CI/CD, and container orchestration with production-grade Python in a fast-growing environment.

You will join a lean team with high ownership, contributing to a scalable, reliable platform for India's largest audio/video content ecosystem.

Qualifications

• 3–5 years in backend or infrastructure engineering, with production experience.
• Strong Python; production-grade code.
• Experience with distributed data processing/streaming in production.
• Hands-on with container orchestration and infra-as-code tooling.
• Familiarity with observability tooling: metrics, logs, traces.
• Some understanding of ML pipelines and data flow.

Responsibilities

• Build and maintain data pipelines — batch and streaming — processing 3B+ daily events.
• Work on network infrastructure and internal connectivity across services.
• Own ML pipeline infrastructure for data ingestion and model serving.
• Work on platform problems: container orchestration and infra-as-code.
• Set up and improve observability stack; define SLIs and alerts.
• Contribute to CI/CD reliability: faster builds and cleaner rollouts.
• Contribute to internal AI tooling to boost developer productivity.

Skills

Python

Backend/Infra

Distributed data processing

Container orchestration

Observability

ML pipelines

Job description

About The Team

Kuku is India's largest audio/video content platform — 3M+ DAU, 50k+ hours of content, and over 3 billion events processed daily. The infra team owns the foundation that makes all of this work: data pipelines, ML infrastructure, network infrastructure, platform tooling, CI/CD, and observability. We’re a lean team with high ownership. What you build ships fast and operates at real scale.

What You'll Work On

• Build and maintain data pipelines — batch and streaming — that process 3B+ daily events. Reliability and cost matter as much as throughput.
• Work on network infrastructure — service connectivity, internal networking abstractions, and ensuring secure, reliable communication across our platform services.
• Own pieces of ML pipeline infrastructure: data ingestion, feature pipelines, and model serving infra that supports our recommendation and personalization systems.
• Work on platform problems: container orchestration, infra‑as‑code, and internal abstractions that let product teams move without depending on infra for every deploy.
• Set up and improve our observability stack. Define SLIs, own alerts, reduce MTTR. If something breaks, we want to know before users do.
• Contribute to CI/CD reliability: faster builds, cleaner rollouts, fewer incidents at deploy time.
• Contribute to internal AI tooling— building or integrating tools that improve developer productivity and automate repetitive infra and data workflows.

What We're Looking For

• 3–5 years in backend or infrastructure engineering, with production experience — not just side projects.
• Strong Python; you write code that runs in production, not just automation scripts.
• Real experience with distributed data processing and streaming systems in a production environment.
• Hands‑on with container orchestration and infra‑as‑code tooling.
• Familiarity with observability tooling — metrics, logs, traces.
• Some understanding of ML pipelines — you don’t need to be an ML engineer, but knowing how data flows from raw to model matters here.

Good to Have

• Experience with real‑time streaming architectures.
• Exposure to ML infrastructure, feature stores, or data governance.
• Prior work in a consumer product company where data volumes are high and latency budgets are tight.
• Contributions to open‑source infra or data tooling.

What We Offer

• Full ownership of your work — this isn’t a support role.
• Competitive comp + ESOPs.
• Learning budget and certification support.
• A team that cares about reliability, not just velocity.