Job
Description
you'll work at the core of a high-performance, custom-built infrastructure platform while also helping shape the data pipelines that power our next-gen cloud analytics stack. This role offers rare dual exposure: from low-level optimization in performance-critical systems, to hands-on feature development in in-house time-series and graph databases . you'll contribute to building and refining connectivity for these databases to the cloud, driving real-world data flows across hybrid environments. If you're excited by deep infrastructure, data-intensive workloads, and full-stack thinking, this is where your impact multiplies. What the Team Does 1. Core Infrastructure (60% of Role) Maintains and enhances the backend platform that powers Apstra s configuration, telemetry, and analytics pipeline. Owns: Product packaging, upgrades, and deployment orchestration Homegrown file-based telemetry database (custom-built, optimized for performance) Distributed querying, data merging, system calls, IPC Python + C++ hybrid execution, including C-extensions for performance 2. Data Engineering (40% of Role) Enables data synchronization from on-prem Apstra to on JCloud. Constructs data pipelines and ETL flows to prepare, transform, and deliver telemetry for downstream cloud analytics consumers. Owns cloud enablement and sync logic (eg examples datasets, format normalization, usage signals). Why Candidates Should Join This Team you'll Build Real Infrastructure Not Just Configure It This isn t infra as code it s infrastructure as a product . you'll design, scale, and optimize distributed systems that support real-time, multi-version enterprise network workloads across campus, data center, and WAN fabrics. It s infrastructure that directly powers next-gen cloud analytics. Hybrid Challenge: On-Prem Meets Cloud Few roles offer this blend: deep low-level systems work coupled with forward-looking data engineering . you'll help bridge Apstra s on-prem legacy with its evolving cloud-native future , working across environments to modernize and integrate. Deep Ownership + Technical Core This team doesn t just connect APIs. It owns the architecture behind Apstra s analytics and telemetry engines critical infrastructure that underpins Juniper s most advanced networking insights. Custom Database Engineering + Analytics Edge you'll work directly on our in-house telemetry database , focusing on: Compression, distributed query execution , and performance tuning Building feature enhancements for in-house time-series and graph databases Enabling cloud connectivity and insights generation for real-world data use cases Cloud you'll get early exposure to JCloud , Juniper s internal cloud platform. Think AWS-like building blocks serverless functions, ETL pipelines, distributed stores but tuned for networking workloads, security, and high observability.
