Senior Software Development Engineer - Stack Team

At Shakudo, we're building the world's first operating system for data and AI. We use the term "operating system" in the truest sense: just like iOS, Windows, or Linux, Shakudo's end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business's unique needs.

We are seeking a Software Development Engineer III (SDE3) to join our Stack team and build end-to-end applications, integrations, and reusable solution patterns that demonstrate what is possible on Shakudo and help customers get value from their data and AI stack. This is a hands-on, high-ownership role for someone who can move across backend, frontend, Kubernetes deployments, open-source data and AI tools, and customer-specific solution requirements with speed and good technical judgment.

In this role, you will own the path from concept to production: designing and building complete solutions, integrating modern data and AI components, deploying on Kubernetes, and setting the engineering standard for the team. This is not a narrow platform engineering role — it is a full-stack, customer-impact role where success is measured by solution quality, adoption, and the reusable patterns you create for the team.

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

6–8 years of experience building production software systems across the stack

Strong backend engineering experience in languages such as Python, Go, or TypeScript

Frontend experience with React, TypeScript, or similar modern web frameworks

Strong hands-on experience with Kubernetes in real production or customer-facing environments

Experience building, customizing, or troubleshooting Helm charts and Kubernetes deployment manifests

Familiarity with cloud infrastructure, CI/CD pipelines, and infrastructure-as-code concepts

Experience integrating complex systems, APIs, data platforms, or infrastructure components

Ability to debug issues across application code, infrastructure, deployment, and configuration layers

A strong product and customer mindset — you care about solving the actual problem, not just writing code

High ownership, strong execution ability, and comfort working with ambiguous requirements

Strong communication skills and the ability to explain technical trade-offs clearly

Experience with data engineering, AI infrastructure, MLOps, or model-serving systems

Hands-on experience with Spark, Airflow, dbt, MLflow, Neo4j, Ollama, vector databases, or notebook environments

Experience building internal tools, developer platforms, data applications, or customer-facing technical solutions

Experience with Terraform, Argo CD, Flux, GitOps, or advanced deployment automation

Experience working directly with enterprise customer environments

Contributions to open-source cloud-native, data, AI, or developer tooling projects

Why Shakudo Stands Out

• Work with cutting-edge technologies in machine learning and high-performance computing
• Contribute to a platform that transforms how organizations leverage data and AI
• Join a dynamic team that values innovation, efficiency, and diversity

This is a work from office role based out of Bangalore (HSR Layout). Shakudo has offices in Toronto, San Francisco, and Bangalore.

Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.