Requirements Summary

6–8 Years of Engineering experience with deep mastery of JVM languages, Python, distributed systems patterns, and cloud-native service design

Benefits

Full Job Description

Role Overview We're seeking a Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment. You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data. What You Will Do Design, build, and operate the core serverless execution engine and Workflows orchestration layer that serve as foundational primitives for CDF's AI and automation capabilities. Own uptime, latency SLOs, and incident response for platform services ensuring Functions execute deterministically and Workflows progress without data loss or silent failures. Why It Might Be a Fit You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data. You'll have the opportunity to work on a bold moonshot to unlock $100B in customer value by 2035. Requirements 6–8 Years of Engineering experience Proven track record building and operating production backend services at scale Deep mastery of JVM languages (Kotlin preferred, Java acceptable), Python(FastAPI), distributed systems patterns, and cloud-native service design (Kubernetes, Azure, GCP, AWS, Private cloud) Hands-on experience with workflow engines (Conductor, Apache Airflow, or equivalent) and event-driven architectures (Kafka, Pub/Sub) Comfortable working with relational databases (PostgreSQL) & non-relational databases, object storage(Data-lakes), and caching layers (Redis) in multi-tenant environments Practical experience with Open-telemetry, Prometheus, and Grafana for instrumentation and operational insight Experience supporting ML workloads & notebooks in production, whether through job scheduling, resource management, experiment tracking integration, or model serving infrastructure Familiarity with industrial knowledge graph construction, entity resolution, or NLP/CV pipelines as they relate to industrial asset data is a strong differentiator Familiarity with React or TypeScript is a plus for consuming and dogfooding your own platform’s developer tooling Benefits Competitive salary Equity Health insurance Paid time off Retirement plan Learning budget Parental leave Wellness programs Visa/relocation assistance Remote flexibility Stipends Bonus/commission Paid holidays

Skills and Technologies