Senior Software Engineer — Engineering Productivity Tools

Top Echelon Software, LLC; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Pre-tax commuter benefits

FSA

Disability and life insurance

401(k) retirement plan

Generous PTO

Lunches provided

Job summary

Top Echelon Software, LLC in Austin, TX, seeks a Senior Software Engineer to build internal systems boosting engineering productivity across QA, autonomy, ML, safety, and release teams. You will design tools such as a Simulator-as-a-Service for scenario reproduction and metrics calculation, and optimize data workflows.

The role emphasizes scalable backend services, storage with S3, Postgres, ClickHouse and Redis, and infrastructure as code with Terraform to automate AWS clusters.

Qualifications

• 3+ years of experience building backend services in production.
• Proficiency in Python, Java, or Go.
• Understanding of cloud-native architecture and distributed systems.
• Hands-on experience with AWS (S3, EKS), Postgres, and Terraform.
• Experience with containerization and orchestration using Docker and Kubernetes.

Responsibilities

• Architect and implement backend services for engineering productivity tools.
• Design efficient data storage using systems like S3, Postgres, ClickHouse, and Redis.
• Define infrastructure as code using Terraform to automate AWS cluster deployment and scaling.
• Collaborate with simulation engineers, analytics, and infrastructure teams for robust integration.

Skills

Backend services

Python/Java/Go

Cloud-native

Distributed systems

AWS

Tools

Docker

Kubernetes

Terraform

Postgres

S3

Job description

Top Echelon Software, LLC in Austin, TX, seeks a Senior Software Engineer to build internal systems boosting engineering productivity across QA, autonomy, ML, safety, and release teams. You will design tools such as a Simulator-as-a-Service for scenario reproduction and metrics calculation, and optimize data workflows.

The role emphasizes scalable backend services, storage with S3, Postgres, ClickHouse and Redis, and infrastructure as code with Terraform to automate AWS clusters.