# Software Engineer - Back End

**Company:** [Distyl AI](https://hotfix.jobs/companies/distyl-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Backend Engineering
**Salary:** $150k – $250k/yr
**Experience:** 3+ years
**Skills:** Python, Java, Go, C++, Kubernetes, FastAPI, Sqlalchemy, Alembic, AWS, GCP, Azure, CI/CD, Distributed Systems, Ml/Ai Ops
**Posted:** 2026-04-29

> Builds and scales AI-native backend infrastructure and cloud-native microservices using Python and Kubernetes for enterprise AI workflows. Requires 3+ years backend experience with cloud platforms and DevOps tools.

## Job Description

## Key Responsibilities

- **Build & Scale AI-Native Infrastructure**: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
- **Develop Cloud-Native Microservices & Scalable AI Systems**: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
- **Optimize System Performance & Reliability**: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
- **Collaborate with Cross-Functional Teams**: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.

## Requirements

- Proficiency in Backend & Systems Engineering. Expertise in **Python**, **Java**, **Golang**, or **C++** for building scalable, high-performance systems
- Hands-on experience with **Kubernetes**, **CI/CD**, cloud platforms (**AWS**, **GCP**, or **Azure**), and infrastructure as code
- Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
- Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus

## Compensation & Benefits

- Base salary range: **$150K – $250K**, depending on experience, location, and level
- Meaningful equity
- 100% covered medical, dental, and vision for employees and dependents
- 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
- Access to state‑of‑the‑art models, generous usage of modern AI tools

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**Canonical:** https://hotfix.jobs/jobs/78bf4e6b-bbb3-4ea2-8f57-3648dba2182b