Principal Software Engineer, AWS & TypeScript
Overview
You will own the architecture of Aderant Talent, a greenfield platform on AWS with a TypeScript/Node and Go backend over MongoDB and a React front end. Your designs will shape how the whole team builds, with organization-wide influence. You will work with pod-based teams and set standards that are still cheap to change. This role combines deep technical leadership with hands-on engineering, embedding AI into evaluation and staffing workflows.
What You'll Do10
- 1Own end-to-end architecture: service decomposition, API strategy, and platform foundations using TypeScript/Node, Go, and React.
- 2Design the MongoDB data architecture: document modeling, indexing, schema evolution, and tenant isolation.
- 3Build the migration and coexistence strategy from legacy vi products, covering data migration and phased transitions.
- 4Set technical strategy for AI-enabled features: model selection, prompt design, output evaluation, cost, latency, and guardrails.
- 5Architect for configurability without fragmenting the codebase, using Kubernetes and AWS services.
- 6Define data privacy and access control: role-based permissions, record-level security, and auditability.
- 7Ship production code in TypeScript/Node, Go, and React every week, including aggregation pipelines for reporting.
- 8Integrate with enterprise systems: Workday, OAuth 2.0, SSO, and directory providers via REST and gRPC.
- 9Build LLM-backed capabilities like evaluation drafting and sentiment analysis, with evaluation harnesses.
- 10Engineer event-driven workflows using SQS, Step Functions, Lambda, and change streams.
Requirements13
- 110+ years in software engineering, including 3+ years at staff or principal level.
- 2Owned architecture of a production SaaS product at scale, living with decisions over multiple years.
- 3Experience taking a new platform from design to production.
- 4Built software handling sensitive personal data under compliance obligations.
- 5Expert-level TypeScript and Node for production services, including async failure modes and performance.
- 6Deep MongoDB expertise: document modeling, indexing, aggregation, transactions, change streams, and operations.
- 7Strong React and deep API design across REST and gRPC.
- 8Practical experience building LLM-backed features: prompt engineering, retrieval, structured output, and evaluation.
- 9Enterprise integration: SOAP, REST, OAuth 2.0, webhooks, batch and delta sync.
- 10Multi-tenant SaaS architecture and zero-downtime deployment.
- 11AWS proficiency: EKS or ECS/Fargate, Lambda, MongoDB Atlas, S3, EventBridge, SQS, Step Functions, API Gateway, IAM, Secrets Manager, and Bedrock.
- 12Infrastructure as code, CI/CD, Kubernetes at scale (Terraform, GitHub Actions, GitOps), and observability.
- 13Application security: authorization models, OWASP risks, data protection, secure SDLC.
Salary Insight
Salary not disclosed in listing
Similar open positions
Explore active roles that match your skills and interests.
360 Privacy
VerifiedStaff Software Engineer, Backend (Python AWS)
You own the backend systems and APIs that power our digital security platform, protecting high-risk individuals across the web. Python and AWS are your primary tools, and you make architectural decisions that shape our core infrastructure. You collaborate with cross-functional teams, mentor engineers, and drive engineering standards. This role offers a Principal trajectory, real ownership, and the chance to build systems that handle genuinely sensitive data.
Hi Marley
VerifiedSr. Software Engineer II DevOps
Lead design and operation of cloud infrastructure on AWS to support core SaaS platform and agentic AI services. Build AI/ML infrastructure and monitoring for LLM-powered services. Establish IaC standards using Terraform. Implement observability beyond availability. Support big data pipelines, warehousing, and analytics. Drive disaster recovery and improve infrastructure parity. Lead architecture reviews and innovate on developer experience. This role differs by focusing on scaling autonomous AI agents in regulated insurance workflows.
Clera
VerifiedFull-Stack Software Engineer, AI-Native B2B SaaS
You will own the full-stack platform for an AI-native B2B SaaS startup, turning fragmented enterprise data into actionable intelligence. You'll build backend services in Go or Python and frontend experiences in React and TypeScript, scaling to handle enterprise-grade data. You'll work directly with enterprise clients and ML engineers, shipping features from concept to production. This role offers high ownership in a small, fast-moving team where your product instinct shapes the roadmap.
Global Placement Firm
VerifiedStaff Software Engineer Healthcare Technology AI
Staff Software Engineer builds and scales cloud based healthcare platform improving hospital operations patient experiences safety and efficiency. Role involves full stack engineering with AI integration. Seeking engineer who owns projects end to end shaping product and engineering culture.
CAI Cox Automotive Corp Svcs., LLC
VerifiedLead Software Engineer, Node.js & AWS
Lead the design and implementation of large-scale software systems at Cox Automotive, impacting internal and external consumers across iconic brands like Autotrader and Kelley Blue Book. You'll guide scrum teams, coach junior engineers, and build Node.js or Python backend services with React frontends on AWS infrastructure. Your work ensures high availability and performance for systems handling millions of vehicle transactions. This role blends technical project leadership with hands-on development, shaping the architecture of our next-generation automotive platforms.
MphasiS Corporation USA
VerifiedSenior Web Developer, Node.js & AWS
Own the full lifecycle of web applications built with Node.js and Angular, scaling to serve millions of users on AWS. You will lead architecture decisions, mentor junior developers, and collaborate with product and design teams to ship features that drive client satisfaction. This role demands deep expertise in Node.js, Angular, and AWS, and offers the chance to shape the technical direction of a growing engineering group. You will have ownership of the codebase from design to deployment, with direct impact on system performance and reliability.