Staff Software Engineer, Reliability, Performance

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September 19

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Feldera

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Artificial Intelligence • Data Analytics • SaaS

Feldera is leading the incremental compute revolution with its award-winning platform that minimizes data processing waste by providing instant incremental updates. This innovative technology enables the processing of complex SQL pipelines and recursive graph analytics at unprecedented speeds, allowing organizations to achieve a remarkable reduction in time-to-insight and analytics costs. With the ability to compute millions of changes per second even on a laptop, Feldera empowers clients to transform their batch SQL jobs into live analytics without the need for rewrites, delivering substantial efficiency and cost savings.

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Focus on secure, scalable, production-grade self-hosted platform that customers deploy on their own infrastructure, from laptops to multi-node clusters. • Design and run long-lived workloads that mimic production environments, including sustained load, skewed data distributions, and upgrade workflows. • Build metrics and dashboards to continuously measure throughput, latency, and resource efficiency, and use these insights to guide system improvements. • Run experiments involving node failures, crashes, network partitions, resource contention and rolling upgrades – validating correctness and resilience under stress. • Own and evolve CI/CD pipelines to make them faster, more reliable, and more reflective of production conditions. Ensure that every change is validated under meaningful workloads before it ships. • Work closely with systems engineers to pinpoint bottlenecks, identify regressions, and improve reliability mechanisms.

🎯 Requirements

• Strong background in systems engineering, performance testing, or site reliability engineering. • Fluency in Python and Linux fundamentals. Rust experience is strongly valued. • Experience with distributed systems and database concepts (consistency, fault tolerance, transactions). • Experience with CI/CD pipeline engineering (GitHub Actions, Docker, Kubernetes). • Hands-on experience running large-scale and long-running workloads, preferably in a cloud-native environment. • Curiosity, rigor, and the ability to design experiments that simulate messy real-world conditions. • Candidates must have authorization to work in their country of residence (United States, European Union, or India). We are unable to sponsor employment visas at this time.

🏖️ Benefits

• Remote