LexisNexis Legal & Professional is looking to architect, build, and operate the server-side systems powering their AI services, primarily in Python and FastAPI, to improve productivity and transform the business and practice of law.
Requirements
- 5+ years in backend engineering with Python as the primary language
- Hands-on experience building FastAPI (or equivalent) microservices and WebSocket endpoints
- Proven track record deploying and operating services on AWS EKS (Kubernetes)
- Strong skills in containerization (Docker), orchestration (Kubernetes), and Helm charts
- Infrastructure-as-code expertise (Terraform, CloudFormation, or similar)
- CI/CD mastery with GitOps, Jenkins, or AWS CodePipeline
- Solid debugging, profiling, and performance-tuning chops in Linux and cloud environments
Responsibilities
- Lead development of high-throughput RESTful APIs and microservices in Python using FastAPI
- Design and deploy containerized services on AWS EKS (Kubernetes) with Helm, Terraform, and CI/CD
- Build and operate monitoring, alerting, and observability pipelines (Prometheus, Grafana etc..)
- Lead incident response, on-call rotations, postmortems, and root-cause analysis to drive continuous reliability improvements
- Implement data ingestion, transformation, and vector caching layers for RAG workflows
- Monitor, profile, and optimize services for CPU, memory, and request-rate spikes
- Collaborate in code reviews, define API contracts, and mentor others on best practices
Other
- Are you a champion for continuous improvement?
- Do you love collaborating with teams to solve complex technical problems in the field of employer-employee relations?
- We promote a healthy work/life balance across the organization.
- We offer an appealing working prospect for our people.
- We are committed to providing a fair and accessible hiring process.
