"high availability architectures" Jobs
332 open tech roles matching “high availability architectures”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 332 results
Join Postman as a Staff Software Engineer to lead the development of a next-generation Business Platform for the agentic era.
Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.
Join Astranis as a Senior Software Engineer to develop flight software for advanced satellites and mentor junior engineers.
Join Ironclad as a Senior Staff Software Engineer to lead the development of AI-powered contract intelligence features in a collaborative environment.
Join Mariana Minerals as a Staff Machine Learning Engineer to develop autonomy software for mining vehicles.
Lead large-scale infrastructure projects at Fastly to enhance their global network and drive operational efficiency.
Design and develop reliable billing systems as a Senior Billing Engineer at Cloudflare, ensuring accuracy and operational excellence.
Lead the Forward Deployed Engineering team at Datadog, shaping its operating model and influencing product roadmaps.
Lead the strategy and execution of supply chain systems for a rapidly growing AI infrastructure company.
Lead a team of Cloud Engineers to ensure customer success and drive engagement at Fastly.
Join Databricks as a Sr. Partner Engineer to lead technical engagements with security partners and drive joint innovation.
Lead the Enterprise AI and Digital Natives segment at Cloudflare, driving revenue growth and mentoring a high-performing sales team.
Lead the development and implementation of core revenue systems at Culture Amp, focusing on the Quote-to-Cash lifecycle.
Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.
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