
Member of Technical Staff
Fireworks AIabout 2 months ago
Base Salary
$175k - $220k/yr
Responsibilities
- Architect and build scalable, resilient backend infrastructure for distributed training, inference, and data processing pipelines.
- Design and implement efficient, low-latency backend services.
- Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems.
- Optimize compute costs, storage lifecycle management, and network performance.
- Collaborate with machine learning, DevOps, and product teams to translate requirements into robust infrastructure solutions.
- Evaluate and integrate cloud-native and open-source technologies to improve platform reliability.
- Own systems end to end from design through deployment, emphasizing reliability, fault tolerance, and operational excellence.
Requirements
- Bachelor's degree or equivalent in Computer Science or a related field plus four years of software engineering or related experience.
- Four years of experience designing, building, and optimizing large-scale backend infrastructure and distributed data systems in cloud environments.
- Four years of experience with major server-side programming languages and frameworks such as Python, C++, Go, or TypeScript.
- Four years of experience writing technical design documentation, leading cross-functional projects, and collaborating with cross-functional teams.
- Three years of experience developing and maintaining data processing and API systems, including client-server communication frameworks.
- Three years of experience conducting A/B testing and scientific experimentation using tools such as Statsig, Meta Deltoid, or Optimizely.
- Three years of experience conducting coding interviews and providing systematic feedback for engineering candidates.
- Two years of experience with cloud-native tools and infrastructure such as Docker and Kubernetes.
- Two years of experience defining and implementing data-driven metrics supporting company or team goals.
Benefits
- Opportunity to work on cutting-edge AI infrastructure and generative AI systems
- Collaborate with experienced engineers and AI researchers
- High ownership and direct impact in a fast-growing Series D company
- Equal-opportunity and inclusive work environment
Tech Stack
Amazon DynamoDBApache FlinkApache KafkaApache SparkAWSAzureC++DockerGoGoogle Cloud PlatformgRPCKubernetesMLflowMySQLPostgreSQLPythonPyTorchTypeScript