{"id":3247814,"url":"https://alion.io/job/viasat-service-automation-software-engineer","title":"Service Automation Software Engineer","company":{"id":1758272,"name":"Viasat","domain":"viasat.com","url":"https://alion.io/company/viasat-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":82,"open_postings":32,"ghost_share":0,"stale_share":0.906,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":165000,"max":260500,"currency":"USD","period":"year","gross":null,"usd_annual":260500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AIOps","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Outlook","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-28T23:55:00Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-30T19:37:32Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"About usOne 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.\nWhat you'll do\nAs a Software Engineer, you’ll join a collaborative team building and delivering innovative AI, automation, and machine learning solutions that solve complex business challenges. You’ll serve as both a hands-on technical contributor and trusted advisor, partnering directly with collaborators to understand their needs, translate them into scalable technical solutions, and bring those solutions from concept through production.\nYou’ll own the full lifecycle of automation and AI products, from requirements gathering and solution design through development, deployment, adoption, and ongoing production support. Along the way, you’ll provide visibility into project progress, solution performance, adoption metrics, and key performance indicators.\nSuccess in this role requires strong software engineering fundamentals, hands-on experience with modern AI platforms and agent-based architectures, and the ability to deliver reliable, production-ready solutions using mature DevOps and MLOps practices.\nThe ideal candidate is a hands-on software engineer who enjoys turning complex problems into practical, high-impact solutions. You bring a strong combination of process automation and machine learning experience, along with a customer-focused mindset and the ability to work closely with collaborators across the organization.\nYou’re comfortable taking ownership from idea to implementation and thrive in an environment where AI, automation, cloud technologies, and modern software engineering practices come together to create meaningful business impact.\nThe day-to-day\nYou’ll play a key role in transforming how we work by designing, developing, testing, deploying, and supporting automation solutions and AI-powered tools that improve operational efficiency, enhance service delivery, and drive meaningful business outcomes.\nWorking closely with collaborator teams, you’ll uncover business challenges, translate complex requirements into practical technical solutions, and build scalable automations and intelligent systems that create measurable impact. From initial concept through production and ongoing optimization, you’ll have the opportunity to take ownership of solutions and help shape how automation and AI are applied across the organization.\nWhat you'll need\nTechnical Skills\nCandidates should have 8+ years of experience, demonstrating a solid understanding and practical fluency in the following technologies and subject areas:\nModel Context Protocol (MCP)\nAgent-to-Agent (A2A) Protocols and agent orchestration concepts\nGoogle Cloud Vertex AI and/or AWS Bedrock\nMLOps experience or knowledge and AIOps practices \nCI/CD pipeline development and deployment automation\nPython software development\nGitHub source control, teamwork, and workflow management\nAPI integration and connected system architectures \nCloud-native application development and deployment\nProfessional Skills\nAbility to convert business requirements into scalable technical solutions.\nStrong analytical and problem-solving capabilities.\nExcellent written and verbal communication skills.\nExperience working directly with multi-functional collaborators and business partners. \nAbility to lead multiple initiatives in a fast-paced environment.\nProven track record to drive projects from concept through production release and ongoing support.\nBachelor’s degree in a technical field or equivalent relevant professional experience.\n\nThis is a government role; US Citizenship and the ability to obtain and maintain a Secret Clearance are required.\nWhat will help you on the job\nA successful engineer will keep up with the latest emerging AI technologies, agent-based architectures, and cloud AI platforms while maintaining solid software engineering fundamentals. Fluency with Python, GitHub-based development workflows, CI/CD practices, and MLOps/AIOps subject areas will enable them to deliver reliable, scalable solutions.\nEqually important is a data-driven outlook. Candidates should be motivated by outcomes, using benchmarks, adoption metrics, and operational insights to evaluate success and continuously improve solutions. The ability to balance experimentation and innovation with operational excellence, security, maintainability, and business impact will be a key differentiator in this role.\nSalary range\n$165,000.00 - $260,500.00 / annually.\nFor specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $205,000.00- $307,000.00/ annually\nAt Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat’s comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.\nEEO Statement\nViasat 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.\nYou’ll play a key role in transforming how we work by designing, developing, testing, deploying, and supporting automation solutions and AI-powered tools that improve operational efficiency, enhance service delivery, and drive meaningful business outcomes.\nWorking closely with collaborator teams, you’ll uncover business challenges, translate complex requirements into practical technical solutions, and build scalable automations and intelligent systems that create measurable impact. From initial concept through production and ongoing optimization, you’ll have the opportunity to take ownership of solutions and help shape how automation and AI are applied across the organization.\nTechnical Skills\nCandidates should have 8+ years of experience, demonstrating a solid understanding and practical fluency in the following technologies and subject areas:\nModel Context Protocol (MCP)\nAgent-to-Agent (A2A) Protocols and agent orchestration concepts\nGoogle Cloud Vertex AI and/or AWS Bedrock\nMLOps experience or knowledge and AIOps practices \nCI/CD pipeline development and deployment automation\nPython software development\nGitHub source control, teamwork, and workflow management\nAPI integration and connected system architectures \nCloud-native application development and deployment\nProfessional Skills\nAbility to convert business requirements into scalable technical solutions.\nStrong analytical and problem-solving capabilities.\nExcellent written and verbal communication skills.\nExperience working directly with multi-functional collaborators and business partners. \nAbility to lead multiple initiatives in a fast-paced environment.\nProven track record to drive projects from concept through production release and ongoing support.\nBachelor’s degree in a technical field or equivalent relevant professional experience.\n\nThis is a government role; 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https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}