Senior Full-Stack Engineer: Edge CDN & AI-Driven Delivery

Viasat; New Jersey; Hybrid; USD 165,000 - 261,000; Full time

Job summary

Viasat is seeking a senior software engineer to design, build, and operate cloud and edge infrastructure across AWS and GCP. You will own deployment paths (CI/CD and observability) and contribute to an ML-driven routing and delivery decision pipeline.

The role emphasizes ownership, uptime, and impact, with collaboration across edge proxies, ML pipelines, and data tooling. Hybrid remote with on-site days in preferred locations.

Qualifications

• 5+ years of software development/engineering experience.
• Bachelor's degree or higher in Computer Science or equivalent.
• Experience designing and operating backend services in production.
• Strong problem-solving and collaborative mindset.
• Ownership mindset with focus on uptime and customer impact.
• Interest in AI-enabled tooling and learning.

Responsibilities

• Design, develop, and deploy cloud and edge infrastructure software across AWS and GCP.
• Own the deployment path including CI/CD and observability.
• Contribute to the ML pipeline to optimize routing and delivery decisions.
• Work with performance data from collection and analytics pipeline.
• Build self-healing systems to detect and resolve production issues.
• Help build autonomous agent architecture for unattended progress.

Skills

5+ years experience in software

Bachelor's degree or higher in CS

Systems design

Foundational problem solving

Ownership mindset

Intellectual honesty

Interest in AI-enabled tooling

Education

Bachelor's degree or higher in Computer Science

Equivalent experience

Tools

Python

Go

Rust

Java

C/C++

HTML/CSS/JS

React

Job description

Viasat is seeking a senior software engineer to design, build, and operate cloud and edge infrastructure across AWS and GCP. You will own deployment paths (CI/CD and observability) and contribute to an ML-driven routing and delivery decision pipeline.

The role emphasizes ownership, uptime, and impact, with collaboration across edge proxies, ML pipelines, and data tooling. Hybrid remote with on-site days in preferred locations.