"software defined networking" Jobs
408 open tech roles matching “software defined networking”, 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 408 results
Join Astranis as a Mechanical Engineer Intern to work on designing and testing satellite hardware and software.
Join Stripe as a Technical Program Manager to drive complex programs in the rapidly growing Link consumer network.
Join TRM Labs as a Senior Backend Engineer to build reliable and scalable software for crime investigation solutions.
Lead the healthcare vertical as a Strategic Account Director at Decagon, driving AI solutions for major healthcare clients.
Join Astranis as an Electrical Test Specialist to execute tests on spacecraft electronics in a dynamic and innovative environment.
Join Astranis as a Mechanical Engineer Intern to work on satellite hardware and software in a dynamic engineering team.
Join Ironclad as a Staff Application Security Engineer to enhance application security and protect sensitive data in a hybrid work environment.
Support modeling and testing of spacecraft hardware in a radiation environment as a Radiation Effects Associate Engineer at Astranis.
Lead the Vehicle Test team at Astranis, managing test software development for advanced satellites.
Lead strategy for internal infrastructure teams at Atoms, focusing on developer velocity and system reliability.
Join Vercel as a Security Engineer to enhance internal security and manage detection response in a hybrid work environment.
Join Anthropic as a Software Engineer to build secure and scalable infrastructure for AI interpretability research.
Join Macroscope as a Senior Security Engineer to shape and scale the security foundation of our platform.
Join TRM Labs as a Senior Backend Engineer to build scalable software solutions for crime investigation and disruption.
Join Baseten as a Technical Program Manager to build and optimize the core algorithms for high-performance AI inference.
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