Full-Stack Developer
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Mar 27, 2026. Viasat scores B on the Alion truth index.
One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
Our team builds data-driven products that directly drive Viasat’s revenue growth by transforming how our sales teams operate. We create innovative data and software tools that sales teams use to close more deals and identify new opportunities.
As a Full-Stack Engineer, you’ll develop and help shape the technical direction of our platform ecosystem: web portals, automated document generation systems, and cloud applications that process billions of records. You’ll contribute to technical decisions - from selecting frameworks to designing integrations between BigQuery data pipelines, Salesforce, and enterprise authentication systems. You’ll also build AI-powered features into our products - designing LLM orchestration pipelines, integrating with foundation model APIs, and building tool servers (e.g. MCP) that connect AI agents to our data and services. Working in a multi-language, hybrid-cloud setting utilising Python, TypeScript, AWS, GCP and more, you’ll build high-performance solutions while contributing innovative ideas for future capabilities. The goal is to provide clear user interfaces for a variety of internal and external stakeholders, giving them greater insight into their business and driving efficient workflows.
Your work directly influences how hundreds of sales professionals across global business units identify prospects, prioritise opportunities, and close deals. You’ll see your contributions translate into measurable outcomes: new contracts won, time saved in sales cycles, and millions in incremental revenue. The tools you build will be used daily by teams in the field. You’ll work with Analytics Engineers in your team who build the data pipelines powering your applications, sales teams across business units who provide direct feedback, product and commercial teams who understand customer needs, as well as data engineers and IT teams who help scale solutions. This cross-functional exposure gives you a unique perspective on both technology and business context. You’ll help scale successful, well-loved tools from MVP stage to enterprise-grade platforms serving new markets, working in a small, collaborative team with startup pace but enterprise resources and mandate.
The day-to-day
You’ll design and implement new products and tools across the full stack, from APIs and service architectures to frontend interfaces. Daily work involves reviewing technical designs with Analytics Engineers, contributing to system integration and design decisions, and writing code in Python and TypeScript from infrastructure through to user interface. A typical day includes building proof-of-concepts for new tools and products, evaluating their fit for the platform architecture, and presenting technical recommendations to the team. You’ll use AI coding tools as part of your daily development workflow and be expected to build AI-powered features, including designing LLM integration patterns, prompt orchestration layers, and tool servers that connect our platform to external services and data sources. You’ll investigate and resolve production bugs, optimise web portal performance and rendering efficiency, debug Lambda functions, and refactor components to improve reliability and maintainability. You’ll design efficient data patterns in the cloud to handle high-volume datasets and ensure applications remain responsive under load.
You’ll work alongside team members to define technical requirements for new features, propose implementation approaches, and estimate development effort. This includes supporting integration patterns between systems, implementing authentication and authorisation for enterprise portals, specifying API contracts, and selecting scalable technologies that can grow with the platform. You’ll also spend time on infrastructure work: deploying services via Terraform, configuring CI/CD pipelines, architecting document generation systems, and ensuring applications meet performance and security requirements for enterprise deployment.
What you'll need
- Expert-level Python development experience building production applications
- Expert-level AWS experience, including Lambda, S3, and API Gateway
- Proven experience deploying and managing containerized applications
- Hands-on experience with Infrastructure as Code tools, particularly Terraform
- Experience making technical architecture decisions and trade-offs in fast-paced environments
What will help you on the job
- Experience with modern web development frameworks, particularly Next.js, React, and TypeScript
- Familiarity with Google Cloud Platform services, especially BigQuery and Cloud Run
- Knowledge of enterprise authentication patterns including SSO, SAML, OAuth, and RBAC
- Experience processing and optimizing applications that work with high-volume datasets at scale
- Background in B2B SaaS, sales enablement tools, or CRM platforms
- Track record of scaling MVPs into enterprise-grade platforms
- Experience working in Agile environments using tools like JIRA
- Comfort working across the full stack from infrastructure to frontend
- Ability to mentor junior engineers and establish technical best practices
- Understanding of how technical decisions impact business outcomes and user adoption
- Experience with automated document generation or data visualization libraries
- Experience working with LLM APIs (e.g. Anthropic Claude, OpenAI) and building AI-powered features in production applications
- Familiarity with the Model Context Protocol (MCP) or AI agent frameworks for tool-augmented LLM workflows
- Understanding of customer lifecycle touchpoints beyond sales - e.g. onboarding, customer success portals, and self-service tooling
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
You’ll design and implement new products and tools across the full stack, from APIs and service architectures to frontend interfaces. Daily work involves reviewing technical designs with Analytics Engineers, contributing to system integration and design decisions, and writing code in Python and TypeScript from infrastructure through to user interface. A typical day includes building proof-of-concepts for new tools and products, evaluating their fit for the platform architecture, and presenting technical recommendations to the team. You’ll use AI coding tools as part of your daily development workflow and be expected to build AI-powered features, including designing LLM integration patterns, prompt orchestration layers, and tool servers that connect our platform to external services and data sources. You’ll investigate and resolve production bugs, optimise web portal performance and rendering efficiency, debug Lambda functions, and refactor components to improve reliability and maintainability. You’ll design efficient data patterns in the cloud to handle high-volume datasets and ensure applications remain responsive under load.
You’ll work alongside team members to define technical requirements for new features, propose implementation approaches, and estimate development effort. This includes supporting integration patterns between systems, implementing authentication and authorisation for enterprise portals, specifying API contracts, and selecting scalable technologies that can grow with the platform. You’ll also spend time on infrastructure work: deploying services via Terraform, configuring CI/CD pipelines, architecting document generation systems, and ensuring applications meet performance and security requirements for enterprise deployment.
- Expert-level Python development experience building production applications
- Expert-level AWS experience, including Lambda, S3, and API Gateway
- Proven experience deploying and managing containerized applications
- Hands-on experience with Infrastructure as Code tools, particularly Terraform
- Experience making technical architecture decisions and trade-offs in fast-paced environments