Teleport aims to simplify complex computing environments, reduce engineering friction, and enhance security by providing on-demand, least-privileged access to infrastructure.
Requirements
- Python expertise with ML frameworks (PyTorch, TensorFlow), data processing (NumPy, Pandas), and API development (FastAPI, gRPC)
- Cloud & Linux engineering with Kubernetes, Docker, and ML platforms (AWS SageMaker, AWS Bedrock, or similar)
- Production ML deployment including model serving, monitoring, A/B testing, and ML pipeline orchestration (MLflow, Airflow)
- Golang or Rust for high-performance microservices and ML serving infrastructure
Responsibilities
- Build and test cycles are measured in seconds, integration tests are running in minutes.
- Most of the code you will write will be open source.
- Our products are loved by their users, you’ll get to talk to some of them on Slack.
- We practice thorough code reviews and have an open design process.
- Anomaly detection over time series data. Leveraging and deploying LLMs for high level analysis and classification.
- Deploying fine tuned, and fine tuning LLMs for AI based Session Recording
- Real-time identity-risk scoring pipeline built on streaming data
Other
- Autonomous: We value those who take initiative and get things done.
- Security-minded: Working on the very fabric of the internet and providing infrastructure access to some of the world’s biggest companies means you need to think security-first.
- Business-savvy: We don’t code for coding's sake. We build for our customers.
- Professional: We are a team of dedicated professionals, committed to excellence.
- Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
