As a Staff Engineer at Azumuta, you help us define what great software engineering looks like in this new reality. You are both a builder and a guide. You cannot do one without the other.
You spend a significant part of your time building real product capabilities across our stack (Node.js, TypeScript, React, PostgreSQL, cloud infrastructure, CI/CD pipelines). At the same time, you help the team rethink how software is built, tested, shipped, and operated so we can move faster without losing ownership, control or understanding of our product and technology.
You continuously ask questions like:
How do we build our product faster while still owning our code, architecture, and technical decisions?
How do we use AI and agentic development to increase leverage without ending up with a codebase nobody truly understands?
How do we scale R&D productivity, not just R&D headcount?
How do we run fast experiments and short learning cycles while still shipping reliable SaaS software?
You work closely with engineers, product managers, and designers to understand real customer problems, explore where new technologies (including AI) can genuinely add customer value and turn the right ideas into production-ready solutions through fast experimentation and short feedback loops.
Solve complex product problems
Design and implement robust full-stack solutions for complex industrial workflows. Collaborate with Product to translate real-world manufacturing problems into clear, usable software.
Own the stack end to end
Work across backend APIs, frontend components, data flows, and integrations. Improve performance, reliability, and maintainability across the platform.
Ship fast, without breaking things
Write clean, scalable, well-tested code. Balance speed with long-term quality and technical ownership.
Build secure, scalable SaaS systems
Contribute to a platform that is secure, resilient, and ready to scale to thousands of users across multiple markets.
Measure and improve
Use metrics, incidents, and user feedback to continuously improve reliability, performance, and usability.
Push modern engineering practices
Actively drive disciplined development practices: short feedback loops, strong testing culture, CI/CD automation, and rigorous code reviews. You don’t just follow best practices, you help make them the norm.
Shape agentic development responsibly
Be a champion for AI-assisted and agentic development. Experiment, set guardrails, and help the team move faster without losing control over product knowledge or system complexity.
Improve delivery predictability
Challenge slicing, scope, and planning decisions. Help teams move from “busy” to “predictable” without introducing heavy process.
Strengthen SaaS operational maturity
Bring real-world SaaS experience into everyday decisions: monitoring, alerting, incident awareness, infrastructure as code, and cost-quality trade-offs.
Grow engineering leadership
Coach engineers through collaboration and example. Over time, help at least one engineer grow into a stronger delivery-focused leadership role.
AI agents on the shop floor
What happens when software acts autonomously in planning, execution, and verification?
Humanoids and advanced robotics
What changes when the “operator” is no longer human?
Higher autonomy and variability
How do we increase flexibility without losing control or traceability?
Faster feedback loops
How do we shorten the gap between execution, insight, and improvement?