Senior Software Engineer

Oscar; Phoenix (AZ); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work options

Health benefits

Job summary

Oscar seeks a Principal/Senior Software Engineer to lead backend systems for physics-based simulations and AI workflows. You will architect high-concurrency microservices, data pipelines, and compute orchestration layers that connect simulation engines with global enterprise clients.

You will own system design, implement scalable pipelines, and partner with AI/ML teams to deliver secure, low-latency cloud solutions with strong security and CI/CD practices. Hybrid work options are available.

Qualifications

• 6+ years of production software engineering experience building backend microservices.
• Proficiency in Python with FastAPI and gRPC.
• Experience with relational/NoSQL databases (PostgreSQL, Redis).
• Experience with containerization, orchestration, and IaC (Docker, Kubernetes, Terraform).
• Experience with asynchronous task processing (Celery, RabbitMQ) and data pipelines.

Responsibilities

• Design, build, and maintain high-concurrency backend microservices in Python.
• Build scalable data ingestion and processing pipelines for large-scale simulations.
• Integrate agentic AI/ML workflows and model-serving infrastructure.
• Ensure security, auditability, and low-latency API performance.

Skills

Python

FastAPI

gRPC

API design

Distributed systems

PostgreSQL

Redis

Cloud platforms

Kubernetes

Terraform

Celery

Education

B.S./M.S. in CS or related

Tools

Docker

Kubernetes

AWS/Azure/GCP

CI/CD tools

Terraform

Job description

We are seeking a Principal/Senior Software Engineer to lead the development of our high-performance backend systems, data pipelines, and compute orchestration layers. You will build the core platform infrastructure that connects physics-based simulation engines and AI agent workflows with global enterprise clients.

Key Responsibilities

• System Architecture: Design, build, and maintain high-concurrency backend microservices in Python that power complex physical simulations and active learning loops.
• Data Pipelines & Integration: Build scalable ingestion and processing pipelines (RAG, Delta Lake) to unify fragmented enterprise data and physical schemas into a high-performance semantic layer.
• Agentic Compute Orchestration: Partner with AI/ML research teams to integrate agentic workflows, sandboxed execution systems, and model-serving infrastructure into secure, enterprise-grade cloud environments.
• Operational Excellence: Harden core system capabilities around multi-tenancy, security, auditability, CI/CD automation, and low-latency API performance.

Qualifications

• Experience: 6+ years of production software engineering experience building scalable backend microservices, high-throughput distributed systems, and API architectures.
• Core Tech Stack: Advanced proficiency in Python, alongside modern web frameworks (FastAPI, gRPC) and relational/NoSQL databases (PostgreSQL, Redis).
• Infrastructure & Cloud: Strong experience with containerization, orchestration, and IaC tools including Docker, Kubernetes, and Terraform on AWS, Azure, or GCP.
• Data & Systems: Hands-on experience with asynchronous task processing (Celery, RabbitMQ), large-scale data pipelines, and high-performance system design.
• Education: B.S. or M.S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.

Preferred / Bonus Qualifications

• Experience or background in CAD engines, CAE/CFD software, computational physics, or digital twin simulation platforms.
• Exposure to physics-informed machine learning models, active learning loops, or autonomous LLM multi-agent orchestration.
• Knowledge of C/C++ low-level optimization, CUDA, or parallel compute systems.

This role offers competitve pay, hybrid work options, and comprehensive health benefits.

If you're ready to build software that delivers measurable value to customers while continuing to grow as an engineer, we'd love to connect.