About the Role
We’re hiring a Senior Software Engineer to design and build scalable, event-driven backend systems that connect data pipelines, distributed services, and LLM-powered processing components. This is a greenfield development opportunity where you’ll help establish core architecture, patterns, and best practices from day one.
The role is primarily backend-focused, but familiarity with modern frontend frameworks is useful as new product features evolve. You’ll work across AWS and Azure cloud environments (but primarily in AWS to start), integrating data inputs, orchestrating service-to-service communication, and delivering processed results to downstream systems.
In this role, you will be a key member of our growing team as we pioneer agentic AI-driven supply chain solutions for global enterprises. You will also contribute to the development of cutting-edge intellectual property and research in the field.
What You’ll Do
- Build backend services in Python for data ingestion, orchestration, and processing
- Develop distributed, event-driven systems using Kafka, MSK, or similar streaming technologies
- Deploy, operate, and optimize services across AWS and Azure cloud environments
- Implement RESTful APIs and internal service communication channels
- Ensure services are reliable, observable, and highly scalable
- Write clean, maintainable, well-tested code with strong engineering standards
- Collaborate with engineers working on LLM-powered and automated processing systems
Required Qualifications
- 4+ years of professional backend engineering experience (Python preferred)
- Strong understanding of distributed systems, microservices, and asynchronous processing
- Experience building event-driven architectures with Kafka, MSK, or equivalent platforms
- Hands-on experience with both AWS and Azure cloud services
- Proficiency in building and maintaining APIs
- Strong Git and CI/CD pipeline experience
- Database experience with PostgreSQL, Redis, or similar technologies, including database migrations
- Familiarity with Agile/Scrum workflows
Preferred Qualifications
- Infrastructure as Code experience (Terraform strongly preferred)
- Experience with containerization (Docker, ECR, Kubernetes)
- Familiarity with LLM systems, agent workflows, or AI-powered processing
- Experience with frontend frameworks (React, TypeScript, or similar) for future features
- Understanding of DevOps practices, logging, and monitoring stacks
What We Offer
- Ground-floor opportunity on a growing, highly collaborative engineering team
- Ownership of core architectural decisions in a greenfield environment
- Cutting-edge cloud and data engineering stack
- Opportunities for professional growth and cross-functional development
- Opportunities for equity ownership in Astral Insights as we scale
- Competitive compensation and benefits
- Flexible hybrid work arrangement
