Principal Software Engineer
On-siteAtlanta, Georgia, United States
Atlanta, Georgia, United StatesOn-siteFull TimeSenior LevelMedium
Full TimeSenior LevelMedium
Job Summary
Own the end-to-end architecture for Aderant Talent, a greenfield platform on AWS for recruiting and evaluating global law firms. Set service boundaries, document MongoDB schemas, and define API contracts while managing data migration from legacy products. Lead AI-enabled features, including evaluation drafting and sentiment analysis, ensuring guardrails for sensitive performance data. Architect role-based access controls and auditability for tenant isolation. Design and ship production TypeScript/Node and Go services, build integration surfaces with HRIS and payroll systems, and engineer event-driven workflows using SQS and Step Functions. Lead architecture reviews, mentor senior engineers, and manage on-call rotation for production stability.
Required Qualifications
- 10+ years of professional software engineering experience
- 3+ years at a staff, principal, or equivalent architect level
- Demonstrated ownership of the architecture of a production SaaS product at scale
- Experience taking a new platform from initial design to production
- Experience building software that handles sensitive personal data under real compliance obligations
- Track record of raising technical quality across teams you did not manage
- Expert-level proficiency in TypeScript and Node for production services
- Expert-level proficiency in TypeScript and Node for production services, including async failure modes
- Expert-level proficiency in TypeScript and Node for production services, including a modern server framework (NestJS, Fastify, Express, or similar)
- Expert-level proficiency in TypeScript and Node for production services, including performance under load
- Deep MongoDB expertise: document modeling
- Deep MongoDB expertise: embedding and referencing trade-offs
- Deep MongoDB expertise: indexing and query optimization
- Deep MongoDB expertise: the aggregation framework
- Deep MongoDB expertise: transactions
- Deep MongoDB expertise: change streams
- Deep MongoDB expertise: schema migration
- Production operations experience including replica sets
- Production operations experience including sharding
- Production operations experience including performance profiling
- Strong proficiency in modern React
- Deep API design experience across REST and gRPC
- Deep API design experience across REST and gRPC, including versioning
- Deep API design experience across REST and gRPC, including backward compatibility
- Practical experience building LLM-backed product features
- Practical experience building LLM-backed product features: prompt and context engineering
- Practical experience building LLM-backed product features: retrieval
- Practical experience building LLM-backed product features: structured output
- Practical experience building LLM-backed product features: output evaluation
- Enterprise integration experience: REST and SOAP APIs
- Enterprise integration experience: OAuth 2.0
- Enterprise integration experience: webhooks
- Enterprise integration experience: batch and delta sync against systems you do not control
- Multi-tenant SaaS architecture, including tenant isolation
- Multi-tenant SaaS architecture, including per-tenant configuration
- Multi-tenant SaaS architecture, including zero-downtime deployment
- Proficiency across the AWS application platform: EKS or ECS/Fargate
- Proficiency across the AWS application platform: Lambda
- Proficiency across the AWS application platform: MongoDB Atlas
- Proficiency across the AWS application platform: S3
- Proficiency across the AWS application platform: EventBridge
- Proficiency across the AWS application platform: SQS
- Proficiency across the AWS application platform: Step Functions
- Proficiency across the AWS application platform: API Gateway
- Proficiency across the AWS application platform: IAM
- Proficiency across the AWS application platform: Secrets Manager
- Proficiency across the AWS application platform: Bedrock or comparable managed LLM services
- Infrastructure as code, CI/CD, and Kubernetes at production scale (Terraform, GitHub Actions, GitOps)
- Infrastructure as code, CI/CD, and Kubernetes at production scale (Terraform, GitHub Actions, GitOps), with strong observability practice
- Application security fundamentals: authorization models
- Application security fundamentals: OWASP risks
- Application security fundamentals: data protection
- Application security fundamentals: secure SDLC practices
Desired Qualifications
- Experience in HR technology, talent management, or people analytics
- Experience in legal technology, or another regulated enterprise domain
- Production experience with Go
- Experience migrating a relational data model to a document model
- Experience replatforming a legacy on-premises product
- Experience with MongoDB Atlas capabilities such as Atlas Search
- Experience with MongoDB Atlas capabilities such as Vector Search
- Experience with MongoDB Atlas capabilities such as Queryable Encryption
- Experience with MongoDB Atlas capabilities such as Global Clusters for data residency
- Experience with responsible AI practice in a high-stakes context: bias and fairness evaluation
- Experience with responsible AI practice in a high-stakes context: explainability
- Experience with responsible AI practice in a high-stakes context: human-in-the-loop design
- Experience integrating with Workday or comparable enterprise HRIS platforms
- Working knowledge of GDPR
- Working knowledge of SOC 2
- Working knowledge of international data residency requirements
- Computer Science or Engineering degree, or equivalent practical experience
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.