"performance tuning" Jobs
141 open tech roles matching “performance tuning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 141 results
Join FalconX as a Senior Infrastructure Engineer to design and maintain low-latency trading systems in a dynamic crypto environment.
Join Fireworks AI as a Staff Software Engineer to build scalable backend systems that shape the future of AI infrastructure.
Join Databricks as a Staff Software Engineer to build CustomerLake, enhancing ML and AI personalization for businesses.
Join Palantir as a Backend Software Engineer to build scalable software solutions that empower organizations to solve real-world problems.
Design and build secure, high-performance environments for Kubernetes workloads as a Senior Software Engineer II at CoreWeave.
Join Anthropic as a Staff + Sr. Software Engineer to build and scale AI systems that serve millions of users worldwide.
Join Datadog as a Staff GenAI Engineer to lead machine learning projects within the Application Performance Monitoring team.
Join Profound as a Staff Infrastructure Engineer to build and scale systems in a fast-growing AI marketing platform.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Join MongoDB's Replication Team to design and implement distributed systems features for high availability and fault tolerance.
Lead high-performing engineering teams to scale storage performance for massive AI workloads at CoreWeave.
Join Enigma's Match Team as a Senior/Staff ML Engineer to enhance customer-facing data products through advanced machine learning and engineering solutions.
Design and build secure sandboxed runtime environments for Kubernetes workloads in a fast-growing AI cloud company.
Join Fin as a Senior Backend Engineer to design and build core systems for a next-generation payments platform.