Full Stack Developer (ETL, Java, Python, Bash Shell)

Serve as a Full-Stack Developer, focusing on integrating unique solutions.

Leveraging agile software development approaches and your experience with front-end and back-end technologies, you will lead technical efforts with participating parties to integrate multiple ML applications into a single-fused solution. Enhancing existing applications through creative techniques that are mindful of technical resources and time constraints. Co-leading product direction and feature specification with community stakeholders and Program Manager. • Strong attention to detail and high-quality code using robust design patterns• Experience in both SQL, NoSQL and in-memory databases (PostgreSQL, Elastic, Redis)• Built real-time data pipeline and event-driven architectures (Kafka Streaming)• Developed server-side apps and implemented end-to-end distributed tracing and system monitoring (OpenTelemetry)• Designed and maintained resilient, high traffic microservices• Proficiency in Python, C++, Node.js, and JavaScript• Experience with Linux -- system administration and scripting in Bash, Sed, and Awk• Strong expertise in AWS cloud services (compute, storage, networking, IAM), cloud cluster, and policy management experience• API Integration & Development• Experience with containerization/orchestration technologies (e.g. Kubernetes, Docker, Helm, Rancher, OpenShift)• Experience with DevSecOps frameworks (e.g. GitLab, Jira)• Experience developing architecture/system diagrams and data flow diagrams• Excellent communication/presentation skills to make recommendations to stakeholders with varying degrees of technical awareness• Ability to quickly grasp and leverage new technologies• Ability to work in a fast-paced environmentDesired Skills• Familiarity with Data Science concepts • Oracle Converged Database (RDF Graph DB, Text DB, Relational DB, Geospatial DB, etc.)• RDF Graph DB (e.g., AnzoGraph, Stardog, etc.)• Palantir Foundry Application Development• Experience with cloud technologies (e.g. AWS, Azure, and Oracle)• Experience designing, coding, deploying, and supporting enterprise-level systems• Experience with UI frameworks (e.g. React)• Experience with automation engines (e.g. Ansible)• Experience utilizing big data tools (e.g. Airflow, Django, Elasticsearch, Kibana, PostgreSQL)• Experience with Geographic Information System (GIS) data• Experience with Machine Learning (ML) algorithms