{"id":3247794,"url":"https://alion.io/job/viasat-senior-software-engineer-cloud-native-ntn-applications","title":"Senior Software Engineer (Cloud Native NTN Applications)","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":80,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-08T00:46:00Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-11-04T00:49:46Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"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\nViasat is developing a 3GPP NTN standards-based Low Earth Orbit (LEO) Network to support standard based devices across key use cases such as Direct to Device, Automobile and UAVs.\nRAN Apps team is responsible for the development of an ecosystem of AI native, Cloud hosted intelligent applications to configure, monitor and optimize the performance of Viasat’s LEO based satellite network especially that of the RAN subsystem in it, and integrate the ecosystem with the complete satellite ground network. These applications interface with various components of O-RAN based NTN network - RU, DU, CU, RIC, SMO etc.\nTeam member responsibilities are end-to-end ownership of one or more intelligent RAN applications, from requirements refining to design, development and system integration.\nThis is a site-based role, employees work 3+ days (60%+) per week from a Viasat office or work location within a standard five-day workweek.\nThe day-to-day\nRefine initial requirements through brainstorming with peers in the team and external stakeholders.\nDevelop Architecture and Design for AI native, Cloud hosted intelligent RAN applications utilizing O-RAN framework, system performance, scalability and maintainability aspects.\nDevelop test plans covering configuration, performance, stability, interoperability\nImplement the design with the support of AI productivity tools\nTest the applications at various level - unit, module, subsystem, system\nIntegration with other network components (DU, CU, RIC, SMO)\nMaintain and automate CI/CD pipelines for build/testing/deployments\nSupport production & lab environments aligned with team’s responsibility\nUpdate and maintain existing production applications and networks\nWhat you'll need\nBachelor's degree in Computer Science, Engineering, or equivalent\n6-10 years of hands-on experience building and operating large-scale cloud-native, microservices-based, event-driven, distributed applications.\nDeep understanding of distributed systems concepts including scalability, fault tolerance, high availability, resiliency, consistency models, eventual consistency, and idempotent processing.\nExperience designing data-intensive systems using relational and NoSQL databases.\nDeep understanding of event-driven architectures, including asynchronous messaging, event streaming, pub/sub patterns, and event sourcing concepts.\nStrong experience designing and implementing RESTful APIs and service-to-service communication patterns in distributed environments.\nProven ability to build highly reliable and observable production systems, including monitoring, logging, tracing, disaster recovery, and incident resolution.\nGood understanding of Terrestrial and/or Satellite wireless system, SMO and RIC frameworks\nTechnical Expertise:\nStrong programming skills preferably in Golang or Python\nContainerization and orchestration using Docker and Kubernetes.\nAPI design and integration, including REST APIs, API versioning, backward compatibility, contract-first development, API gateways, authentication, authorization, rate limiting, and resiliency patterns.\nEvent streaming and messaging technologies such as Kafka, Amazon Kinesis, Google Pub/Sub, RabbitMQ, or equivalent.\nPublic cloud platforms such as GCP and/or AWS.\nCI/CD and DevOps tooling, including GitHub Actions, Jenkins, GitLab CI, or equivalent.\nDeployment automation using Terraform, Helm, ArgoCD, CloudFormation or similar.\nWhat will help you on the job\nGood understanding of O-RAN specifications, rApps,xApps development\nHands on development experience with Golang/Python/Rust/Scripting/Cl-CD in public cloud environment\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.\nRefine initial requirements through brainstorming with peers in the team and external stakeholders.\nDevelop Architecture and Design for AI native, Cloud hosted intelligent RAN applications utilizing O-RAN framework, system performance, scalability and maintainability aspects.\nDevelop test plans covering configuration, performance, stability, interoperability\nImplement the design with the support of AI productivity tools\nTest the applications at various level - unit, module, subsystem, system\nIntegration with other network components (DU, CU, RIC, SMO)\nMaintain and automate CI/CD pipelines for build/testing/deployments\nSupport production & lab environments aligned with team’s responsibility\nUpdate and maintain existing production applications and networks\nBachelor's degree in Computer Science, Engineering, or equivalent\n6-10 years of hands-on experience building and operating large-scale cloud-native, microservices-based, event-driven, distributed applications.\nDeep understanding of distributed systems concepts including scalability, fault tolerance, high availability, resiliency, consistency models, eventual consistency, and idempotent processing.\nExperience designing data-intensive systems using relational and NoSQL databases.\nDeep understanding of event-driven architectures, including asynchronous messaging, event streaming, pub/sub patterns, and event sourcing concepts.\nStrong experience designing and implementing RESTful APIs and service-to-service communication patterns in distributed environments.\nProven ability to build highly reliable and observable production systems, including monitoring, logging, tracing, disaster recovery, and incident resolution.\nGood understanding of Terrestrial and/or Satellite wireless system, SMO and RIC frameworks\nTechnical Expertise:\nStrong programming skills preferably in Golang or Python\nContainerization and orchestration using Docker and Kubernetes.\nAPI design and integration, including REST APIs, API versioning, backward compatibility, contract-first development, API gateways, authentication, authorization, rate limiting, and resiliency patterns.\nEvent streaming and messaging technologies such as Kafka, Amazon Kinesis, Google Pub/Sub, RabbitMQ, or equivalent.\nPublic cloud platforms such as GCP and/or AWS.\nCI/CD and DevOps tooling, including GitHub Actions, Jenkins, GitLab CI, or equivalent.\nDeployment automation using Terraform, Helm, ArgoCD, CloudFormation or 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