Edge & Cloud CDN Engineer — AI-Driven Web Performance (Hybrid)

Viasat, Inc.; Boston (MA); Hybrid; USD 165,000 - 261,000; Full time

Job summary

Viasat in Boston seeks an engineer to design, develop, and deploy cloud and edge network software across AWS and GCP. You’ll own deployment paths, contribute to ML-driven routing, and work with performance data to optimize delivery at scale.

We value a strong foundation in systems design and a collaborative mindset. The role offers hybrid work with 2-3 days on-site in Boston as you ramp up and shape the early stages of a fast-moving project.

Qualifications

• 5+ years of experience in software development/engineering.
• Bachelor's degree or higher in Computer Science, or equivalent experience.
• Systems design: backend services in production with attention to failure modes and deployment.
• Foundation: strong problem-solving, collaborative, capable of explaining complex ideas.
• Optimizer instinct and ownership: focus on uptime and impact.
• Intellectual honesty: able to acknowledge limits and uncertainties.
• Energized by what AI makes possible: comfortable with AI-assisted workflows.

Responsibilities

• Design, develop, and deploy cloud and edge network infrastructure software across AWS and GCP.
• Own the deployment path for what you build—CI/CD and observability.
• Contribute to the ML pipeline optimizing routing, caching, and delivery decisions.
• Work with performance data through the collection and analytics pipeline.
• Build self-healing systems that diagnose and resolve production issues automatically.
• Help build autonomous agent architecture with edge and ML components; broad ownership.

Skills

Python

Go

Rust

Java

C/C++

Data structures

Algorithms

Networking (DNS/HTTP/TCP)

Web technologies (HTML/CSS/JS/React)

Web performance metrics

ML for decision-making

Data pipelines

Education

Bachelor's degree in Computer Science or equivalent

Job description

Viasat in Boston seeks an engineer to design, develop, and deploy cloud and edge network software across AWS and GCP. You’ll own deployment paths, contribute to ML-driven routing, and work with performance data to optimize delivery at scale.

We value a strong foundation in systems design and a collaborative mindset. The role offers hybrid work with 2-3 days on-site in Boston as you ramp up and shape the early stages of a fast-moving project.