← Back

Member of Technical Staff

LocationNew York

Typefull-time

DepartmentEngineering

Company size11+ people

First seen3mo ago

Last seen2d ago

Responsibilities

Job Duties: Design, develop, and maintain large-scale backend and cloud-native infrastructure to

support distributed machine learning training, inference, and data processing pipelines for generative AI platform.

Architect and build scalable, resilient backend infrastructure to support distributed training, inference, and data

processing pipelines. Lead technical design discussions, mentor engineers, and establish best practices for

large-scale machine learning systems. Design and implement core backend services with a focus on efficiency

and low latency. Drive infrastructure optimization initiatives for compute cost, storage lifecycle management, and

network performance. Collaborate with machine learning, DevOps, and product teams to translate research and

product requirements into robust infrastructure solutions. Evaluate and integrate cloud-native and open-source

technologies such as Kubernetes, Ray, Kubeflow, and MLFlow to enhance platform reliability. Own end-to-end

systems from design to deployment, emphasizing reliability, fault tolerance, and operational excellence.

Requirements

Minimum Education & Experience Required: Bachelor’s degree or equivalent in Computer Science or related

field plus four (4) years of experience in software engineering or related role

Minimum Skills Required: 4 years of experience designing, building, and optimizing large-scale backend

infrastructure and distributed data systems (e.g., PostgreSQL, MySQL, DynamoDB, Apache Spark, Apache

Flink, Apache Kafka) in cloud environments (AWS, GCP, Azure, or equivalent), including cloud-native platforms,

core infrastructure components, and optimization techniques (caching, indexing, sharding, replication,

transactions, ACID). 4 years of experience with major server-side programming languages and frameworks

(e.g., Python, C++, Go, TypeScript). 4 years of experience writing technical design documentation, leading cross-

functional projects, and collaborating with cross-functional teams to achieve business impact. 3 years of

experience developing and maintaining data processing and API systems, including client-server communication

frameworks (e.g., gRPC, Thrift). 3 years of experience conducting A/B testing and scientific experimentation

(e.g., Statsig, Meta Deltoid, Optimizely) to measure software impact. 3 years of experience conducting coding

interviews and providing systematic feedback for engineering candidates. 2 years of experience with cloud-native

tools and infrastructure, such as Docker and Kubernetes. 2 years of experience defining and implementing data-

driven metrics to support company or team goals.

Hiring process

How to Apply: Submit resume and apply online at http://www.fireworks.ai/careers and search for job by title.

More roles at Fireworks AI

Seekless

Product

Legal

← Back