Staff Backend Engineer, AI Ops & Scale (Remote)

Jobgether; Oregon; Hybrid; USD 222.000 - 314.000; Vollzeit

Benefits dieser Stelle

Equity package

Paid time off 20 days

Remote-first

Medical, vision, dental insurance

Global team offsites

Zusammenfassung

Jobgether is seeking a Staff Backend Engineer, Operations to lead the design and delivery of scalable backend infrastructure and AI-driven workflows. Based in Canada with a remote-first team, you will own major backend initiatives, work across engineering, product, and business units, and mentor colleagues.

You will optimize data models, evaluate large-scale LLM systems, and shape architecture while balancing reliability, cost, and latency.

Qualifikationen

• 8+ years of software engineering experience building backend systems at scale.
• Proven track record as technical lead on significant projects or initiatives.
• Hands-on experience with LLMs in production and deployment at scale.
• Strong Python proficiency and AWS knowledge.
• Relational databases and performance optimization, PostgreSQL preferred.

Aufgaben

• Lead the technical design and delivery of major backend initiatives, including services, data models, asynchronous pipelines, and evaluation frameworks.
• Define technical direction for large-scale LLM systems, balancing reliability, cost, latency, evaluation, and explainability.
• Drive architectural discussions and high-impact design decisions across the product.
• Deliver product improvements and innovations while scoping new features and technical initiatives.
• Mentor colleagues and support recruiting and external interactions.
• Establish and promote best practices across development, testing, deployment, and code review.

Kenntnisse

Python

LLMs in production

AWS

PostgreSQL

Asynchronous workflows

Cloud infrastructure

Tools

Lambda

Step Functions

DynamoDB

S3

REST APIs

Jobbeschreibung

Jobgether is seeking a Staff Backend Engineer, Operations to lead the design and delivery of scalable backend infrastructure and AI-driven workflows. Based in Canada with a remote-first team, you will own major backend initiatives, work across engineering, product, and business units, and mentor colleagues.

You will optimize data models, evaluate large-scale LLM systems, and shape architecture while balancing reliability, cost, and latency.