First seen by Alion on Oct 30, 2026. Diligent, LLC scores B on the Alion truth index.
You'll be the Principal Software Engineer driving the next generation of a large-scale enterprise SaaS platform. In this role, you combine deep hands-on engineering with high-impact technical leadership, shaping how cloud-native and AI-enabled products are designed and built. You'll design and deliver secure, scalable, serverless systems on AWS using TypeScript and Node.js, modernise critical platform components, and set the technical direction for multiple teams. You'll also lead how AI capabilities are integrated across the product ecosystem, ensuring they are transparent, observable, and compliant.
Responsibilities:
- Lead the architecture and delivery of secure, scalable, serverless applications on AWS using TypeScript/Node.js .
- Define and evolve the platform architecture, driving modernisation, performance, resilience, and maintainability.
- Design and operate distributed, event-driven systems using services like Lambda, DynamoDB, Aurora, S3 and EventBridge.
- Shape and implement AI-enabled solutions, embedding governance, observability, and responsible AI practices into the platform.
- Own Infrastructure as Code (e. g., Terraform, AWS CDK, CloudFormation) to reliably provision and manage cloud infrastructure.
- Mentor senior engineers, influence technical decisions across teams, and clearly communicate complex concepts to diverse stakeholders.
Requirements:
- Extensive experience 13+ building secure, production-grade software systems.
- Proven track record architecting and delivering cloud-native, serverless applications on AWS.
- Strong expertise in backend development using Python, Go, or Java.
- Experience designing and developing scalable, distributed systems.
- Strong system design, architecture, and technical decision-making skills.
- Experience working across multiple projects and solving complex engineering challenges.
- The ability to drive technical direction, collaborate with cross-functional teams, and mentor engineers.
- Deep understanding of distributed systems and data stores.
- Hands-on experience with Infrastructure as Code tools (Terraform, AWS CDK, or CloudFormation), plus Docker and modern CI/CD.
- Strong SQL skills, including performance tuning and optimisation at scale.
- Solid understanding of AI fundamentals (model behaviour, prompt engineering, AI safety/governance) and experience building or integrating AI-powered systems with monitoring and compliance in mind.
Skills
AWS, CDK, CloudFormation, Go, Java, Python, Terraform

