STAFF SOFTWARE ENGINEER

• Build software and integrations in a cloud-based microservices environment (kubernetes) for big data applications with Spark, Ray, etc.
• Writing software in python, typescript, go, Java and Scala
• Work with stakeholders and technical leadership to design and build interfaces, workflows, and services that enhance the delivery of data science products
• Actively participate in team code reviews and enforce quality standards
• Work within a cross-functional team to author clear and purposeful epics/stories
• Promote and enforce best practices in development and operations
• Identify opportunities and weaknesses in the platform architecture
• Design and develop data visualization tooling using electron, jupyterhub, plotly, typescript and pandas to enhance data exploration workflows for data science
• Integrate data science visualization and diagnostic tooling like tensorboard, ray serving, spark history server into an existing distributed compute and development environment
• Build secure integrations with the kubernetes api allowing the management of user workloads in a shared environment with potentially sensitive data
• Understand and debug interactions between cloud networking components (ALBs, web api proxies) cluster ingression and security using kong and istio, python-based web servers and modern web transfer protocols like websockets and http3.

A LITTLE BIT ABOUT YOU

• You are an experienced software engineer with a proven track record of quickly learning and implementing new technologies. You love technology and are excited to work on a high-performance team building a very ambitious product. You are looking for an opportunity to grow your career and your technical depth by diving into a project working on the current state of the art in big data and cloud technologies.

QUALIFICATIONS

• Bachelor s degree in Computer Science or a related technical field, or equivalent industry experience
• Typescript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, ray, tensorflow, CUDA
• Apache Spark, Istio, Scala, Java, Go, kong, cloud software design, containerized microservices & distributed caching.
• Experience with machine learning (RNNs, CNNs, random forest, LLMs) a plus