Senior Full-Stack Software Engineer

Innodata is hiring a Senior Full-Stack Software Engineer to build and operate an advanced data platform for enterprise and public-sector customers. The role develops backend and frontend features, supports deployment and integrations, and incorporates customer feedback into product improvements.

Responsibilities:

• Build features end to end across our Rust backend and TypeScript/React frontend, from the data model and APIs to a polished, interactive web application
• Design data models, APIs, and ingestion pipelines that are fast and reliable at scale
• Help deploy, configure, and support the platform in cloud and customer environments, including AWS GovCloud, on-premises Kubernetes, and air-gapped or classified networks
• Build data connectors and integrations that bring customer data into the platform and fit it to their workflows
• Join customer conversations, demos, and occasional on-site visits to understand how the product is used, and turn that feedback into product improvements
• Contribute to architecture, code quality, performance, and security as the product grows

Requirements:

• 5+ years building and shipping production software
• Active Top Secret clearance with SCI eligibility (U.S. citizenship required)
• Strong backend skills in a modern systems or application language (we work primarily in Rust; we're happy to help a strong engineer ramp up)
• Solid SQL and PostgreSQL fundamentals — indexing, transactions, and query performance
• Proficiency with TypeScript and React and an eye for clean, responsive UIs
• Experience deploying and running services with Docker and Kubernetes
• Strong communication skills — able to explain technical work clearly to customers and non-technical stakeholders
• Customer-facing, consulting, or solutions-engineering experience
• Experience deploying software in classified, air-gapped, or other regulated environments
• AWS/EKS (including GovCloud), infrastructure-as-code, and STIG or RMF experience
• Experience with data-intensive applications, data pipelines, or Python for data work
• Familiarity with AI training data, annotation, or data-labeling workflows