Tech Stack
KubernetesNoSQLPythonReactSQL
About the role
- Build intelligent automations that combine business logic, data pipelines, and AI to solve scaling challenges
- Partner with Operations, Sales, Marketing and Customer Success to understand workflows and translate business needs into technical solutions
- Own the automation stack from data ingestion and processing to AI integration and user interfaces
- Design data-driven processes that eliminate manual work and improve decision quality across the organization
- Maintain and evolve existing automations as business needs change and scale
- Move fast and balance speed with quality in a startup environment
Requirements
- 3-6 years building software applications, data pipelines, or automation systems
- Strong Python skills (most of automation stack is Python-based)
- Experience with APIs, databases (SQL/NoSQL), and data processing frameworks
- Experience combining on-prem environments with SaaS platforms
- Experience building on Kubernetes
- Familiarity with modern web frameworks (FastAPI, React, etc.)
- Experience building systems that directly impact business metrics or operations
- Understanding of B2B SaaS metrics and revenue operations
- Ability to translate vague business requirements into concrete technical solutions
- Experience working with LLMs, AI APIs, or machine learning workflows
- Comfortable with data analysis and visualization tools
- Understanding of prompt engineering and AI system design
- Startup experience / ability to thrive in ambiguous environments
- Bias toward action — ship first, iterate fast, learn from usage
- Care about code quality and user experience
- Experience at a high-growth B2B SaaS company is a plus
- Engineering-first culture — we're technical people solving technical problems
- Real impact — your automations will directly enable company growth and efficiency
- Cutting-edge tech — work with the latest AI/ML tools and data technologies
- Autonomy and ownership — own projects end-to-end with minimal micromanagement
- Learning environment — work alongside brilliant engineers and data scientists
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAPIsSQLNoSQLdata processing frameworksKubernetesFastAPIReactmachine learning workflowsdata analysis
Soft skills
ability to translate business requirementscomfortable in ambiguous environmentsbias toward actioncare about code qualityuser experience focus