Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Member of Technical Staff on our Traffic Infrastructure team, you will own the traffic layer behind our generative AI platform: the proxies, load balancers, service mesh, and routing systems that move every request reliably across regions and cloud providers. This is a highly technical role that calls for depth in distributed systems, cloud networking, and infrastructure, along with the judgment to balance latency, cost, and operational simplicity. You will partner closely with ML, product, and platform teams, and help set the technical direction for the team.
Architect and build scalable, fault-tolerant traffic and networking services, including ingress and egress, load balancing, routing, and quality-of-service controls.
Lead technical design discussions, mentor other engineers, and establish best practices for operating large-scale infrastructure.
Drive network optimization both inside and outside data centers, including cost reduction, performance tuning, and removing scaling bottlenecks.
Evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Envoy, Istio) to strengthen platform capabilities and reliability.
Own systems end to end, from design through deployment and observability, with an emphasis on high availability, disaster recovery, and operational excellence.
Develop and maintain comprehensive monitoring, alerting, logging, and tracing to give deep insight into system health and performance.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
5+ years of experience building backend or network infrastructure in cloud environments (e.g., AWS, GCP, Azure).
Strong software development skills in languages such as Go, C++, Rust, Java, or Python.
Deep understanding of distributed systems and networking fundamentals, including performance optimization.
Full product lifecycle ownership, from design through implementation to production.
Master's or PhD in Computer Science or a related field.
Hands-on experience with traffic or edge engineering, service mesh, or cloud networking (e.g., Envoy, Istio, DPDK).
Deep Kubernetes experience, including ingress, network policy, and custom controllers.
Track record of improving performance, reliability, and cost-efficiency on high-throughput systems.
Experience leading projects across teams and coaching distributed engineers.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Own the health and maintenance of HPC and GPU infrastructure for AI and data-intensive workloads, supporting managed-services customers through cluster operations, incident response, performance tuning, automation, and lifecycle management.
Own and improve the AWS infrastructure, reliability, security, and developer tooling behind a production audio platform, partnering with engineering teams to scale services safely and cost-effectively.
Own the infrastructure that builds, releases, and operates Keycard across hosted and customer clouds, making deployments secure, reliable, upgradeable, and repeatable.
Own infrastructure projects that improve CI/CD, single-tenant stack lifecycle, database performance, cost visibility, security, and customer-facing platform capabilities across Hex’s production systems.
Own and improve core production infrastructure across AWS, databases, Kubernetes, and platform tooling, while building safe self-service paths and strengthening reliability, observability, and on-call operations.
