Source description
About the role
Design and build complete applications and integrations using Shakudo and open-source tools across the data and AI ecosystem
Work across backend, frontend, infrastructure, and deployment layers to deliver production-ready customer solutions
Build reusable components, templates, integrations, and workflows that accelerate solution delivery for the Stack team
Solve real-world data and AI challenges with elegant, reliable, and maintainable software
Create flagship applications that showcase the power of Shakudo for customers and internal teams
Integrate open-source and proprietary tools into the Shakudo ecosystem, including databases, orchestration tools, AI runtimes, vector stores, notebooks, data processing engines, and model-serving systems
Work with tools and ecosystems such as Neo4j, Spark, Ollama, Airflow, dbt, MLflow, and similar data/AI infrastructure components
Build APIs, services, connectors, UI workflows, and automation that make these tools usable in real customer environments
Translate customer requirements into scalable technical designs and working implementations
Identify patterns across customer use cases and turn them into reusable solution blueprints
Use Kubernetes and Helm to package, deploy, configure, and operate Shakudo solutions and Stack components
Work with Kubernetes primitives such as Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, RBAC, StorageClasses, and network policies
Build and maintain Helm charts or deployment templates for solution components
Debug deployment issues across application, Kubernetes, networking, storage, permissions, and configuration layers
Collaborate with DevOps and Customer Engineering teams to ensure solutions are reliable in production environments
Lead technically complex initiatives from concept to production with high autonomy
Drive architecture and design patterns for building applications and integrations on Shakudo
Make pragmatic technical trade-offs across speed, reliability, scalability, maintainability, and customer impact
Set the standard for building efficient, reusable, and high-impact solutions
Mentor engineers, review designs and code, and help raise the engineering bar across the team
Partner with Product, Customer Engineering, Solution Engineering, and DevOps teams to translate customer needs into scalable systems
Work on problems that come directly from customer environments and production use cases
Communicate technical decisions clearly to internal stakeholders and, when needed, customer technical teams
Contribute documentation, demos, technical guides, and reusable patterns for the Stack team
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