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# Senior Solutions Architect - Growth Analytics

- **Company:** Viasat, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, BigQuery, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Software Debugging, Human-Computer Interaction, Web Portals, Python (Programming Language), OAuth, Role-Based Access Control, Software Tools, OpenAI, Next.js, Salesforce.Com, Security Assertion Markup Language (SAML), Single Sign-On, Systems Integration, TypeScript, Google Cloud, ReactJS, Large Language Models, AWS Lambda, Agentic-AI, Git, Containerization, Infrastructure Automation Frameworks, AWS Fargate, Front End Software Development, Claude, Virtual Agents, Software Coding, Model Context Protocol, Terraform, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://www.gradsouthwest.com/jobs/apply/ats-redirect/?id=2999659651-2

## About the Role

+ Expert-level Python development experience building production applications
 + Expert-level AWS experience, including Lambda, ECS/Fargate, S3, and APIGateway
 + Proven experience deploying and managing containerized applications usingDocker
 + Strong SQL skills and experience working with data warehouses
 + Hands-on experience with Infrastructure as Code tools, particularly Terraform
 + Proficiency with Git and modern CI/CD workflows
 + Demonstrated ability to design and implement multi-component softwaresystems from architecture through production deployment
 + Experience making technical architecture decisions and trade-offs in fast-paced environments, + Experience with modern web development frameworks, particularly Next.js,React, and TypeScript
 + Familiarity with Google Cloud Platform services, especially BigQuery andCloud 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 useradoption
 + Experience with automated document generation or data visualizationlibraries
 + Experience working with LLM APIs (e.g. Anthropic Claude, OpenAI) andbuilding AI-powered features in production applications
 + Familiarity with the Model Context Protocol (MCP) or AI agent frameworks fortool-augmented LLM workflows
 + Understanding of customer lifecycle touchpoints beyond sales - e.g.onboarding, customer success portals, and self-service tooling

## Description

Our team builds data-driven products that directly drive Viasat's revenue growth bytransforming how our commercial and customer-facing teams operate. We createinnovative data and software tools that sales, account management, and customersuccess teams use to close more deals, retain customers, and deliver better customerexperiences.
As Senior Solutions Architect, you'll co-lead the technical architecture anddevelopment of our entire platform ecosystem: web portals, automated documentgeneration systems, and cloud applications that process billions of records. You'llcollaborate on end-to-end technical decisions, from selecting frameworks to designingintegrations between BigQuery data pipelines, Salesforce, and enterpriseauthentication systems. Working in Python, AWS Lambda, Next.js/React, andTerraform, you'll architect high-performance solutions while mentoring teammembers and contributing innovative ideas for future capabilities.
Your technical decisions directly influence how hundreds of commercial and customer-facing professionals across global business units identify prospects, prioritize opportunities, retain accounts, and deliver differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities - including LLM-powered features, AI agent frameworks, and MCP servers - to accelerate both internal tooling and customer touchpoints.
You'll join an existing Senior Solutions Architect and share technical ownership of theplatform, dividing focus across features and initiatives. You'll work with AnalyticsEngineers in your team who build the data pipelines powering your applications,sales teams across business units who provide direct feedback, product andcommercial teams who understand customer needs as well as data engineers and ITteams who help scale solutions. This cross-functional exposure gives you uniqueperspective 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 andmandate.

The day-to-day
You'll architect new applications and features across the full stack, from designingAPI endpoints and service architectures to implementing frontend interfaces. Dailywork involves reviewing technical designs with Analytics Engineers, making architectural decisions on system integrations, and writing code in Python andTypeScript to implement solutions from infrastructure through user interface.
A typical day includes conducting proof-of-concepts for new tools and technologies,evaluating their fit for the platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. You'll investigate and resolve production bugs,optimize web portal performance and rendering efficiency, debug Lambda functions,and refactor components to improve reliability and maintainability. You'll designefficient data movement patterns in the cloud to handle high-volume datasets andensure applications remain responsive under load.
You'll collaborate with the Product Lead to define technical requirements for newfeatures, propose implementation approaches, and estimate development effort. Thisincludes designing integration patterns between systems, implementingauthentication and authorization systems for enterprise portals, specifying APIcontracts, and selecting scalable technologies that can grow with the platform. You'llalso spend time on infrastructure work: deploying services via Terraform,configuring CI/CD pipelines, architecting document generation systems, and ensuringapplications meet performance and security requirements for enterprise deployment.


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