Senior Software Engineer, Edge & Cloud Infra

Viasat; Massachusetts; Hybrid; USD 165,000 - 307,000; Full time

Job summary

Viasat is seeking an experienced software engineer to design, build, and operate cloud and edge network infrastructure across AWS and GCP. You will own the deployment path—from CI/CD to observability—and contribute to ML pipelines that optimize routing and delivery decisions.

The role spans edge, ML, data collection, and tooling, with a hands-on, production-focused mindset. Based in Boston or New England, the team works in a hybrid setup requiring 2-3 days on-site per month, with more time

Qualifications

• 5+ years experience in software development/engineering.
• Bachelor's degree or higher in Computer Science, or equivalent experience.
• Experience designing and operating backend services in production, including failure modes and deployment considerations.
• Strong problem-solving and continuous-learning mindset with collaborative approach.
• Ability to explain complex concepts clearly and incorporate feedback in real time.
• Interest in AI-enabled tooling and scalable systems across edge and cloud.

Responsibilities

• Design, develop, and deploy cloud and edge network infrastructure software across AWS and GCP (Go / Caddy modules on GCE).
• Own the deployment path for what you build—CI/CD, infrastructure-as-code, and observability.
• Contribute to ML pipelines that optimize routing, caching, and delivery decisions.
• Work with real-user and synthetic performance data through analytics pipelines.
• Build self-healing systems that detect and resolve production issues automatically.
• Help develop autonomous agent architectures that progress without direct supervision.

Skills

Python

Go

Rust

Java

C/C++

Systems design

Problem solving

Continuous learner

Collaborative

Education

Bachelor's degree in Computer Science

Equivalent experience

Tools

CI/CD

Infrastructure as code

Observability

GCP

AWS

Job description

Viasat is seeking an experienced software engineer to design, build, and operate cloud and edge network infrastructure across AWS and GCP. You will own the deployment path—from CI/CD to observability—and contribute to ML pipelines that optimize routing and delivery decisions.

The role spans edge, ML, data collection, and tooling, with a hands-on, production-focused mindset. Based in Boston or New England, the team works in a hybrid setup requiring 2-3 days on-site per month, with more time