Software Engineer - Infrastructure

Job highlights

• Build and maintain data pipelines - batch and streaming - that process 3B+ daily events
• 3 - 5 years in backend or infrastructure engineering,with production experience - not just side projects. Strong Python
• Good to have
• Experience with real-time streaming architectures.

Responsibilities

• 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 personalisation 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.

Requirements

• 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 dont 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.