About the RoleWe are seeking a Sr. Member of Technical Staff to design and develop software features that support system resiliency and high availability across distributed environments. In this role, you will help build and maintain scalable AI inference services, develop cloud-based deployment workflows, improve system reliability through automation, and collaborate across engineering teams to deliver high-performance software solutions.
Responsibilities- Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments.
- Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance.
- Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
- Use parallel programming techniques (e.g., multi-threading, asynchronous processing) to maximize resource efficiency on AWS compute instances.
- Develop software components to support visualization and analysis of system performance metrics, enhancing the monitoring and usability of inference services.
- Develop inference software in Docker containers and define Kubernetes orchestration strategies that ensure software reliability and efficient scaling.
- Develop automated scripts to detect and mitigate common failure modes, improving software system reliability.
- Debug issues related to model deployment, container orchestration, and networking configurations, documenting steps to reproduce and root-cause defects.
- Triage and resolve defects in the software service by analyzing logs, metrics, and distributed traces using tools like AWS CloudWatch, Grafana, or custom Python scripts.
- Work with Product Management and User Experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
- Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
- Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
Skills & QualificationsMinimum Requirements- Master's degree or foreign equivalent degree in Computer Science, or a related field.
- 18 months of experience as an Information Security Analyst, Software Engineer, Sr. Member of Technical Staff, IT Senior Applications Engineer, or a related occupation.
- Required Skills
- Infrastructure-as-Code and deployment automation: Terraform, AWS CloudFormation, AWS CDK, and Ansible.
- Containerization and orchestration: Docker, Kubernetes, AWS EKS, AWS Elastic Container Service (ECS), AWS Fargate, and Helm.
- Compute and serverless services: AWS EC2, AWS Lambda functions, and Auto Scaling Groups.
- Monitoring, logging, and distributed tracing: AWS CloudWatch, AWS X-Ray, ELK (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana.
- Programming languages and frameworks: Python, Node.js, JavaScript, and Flask.
- Data storage and caching: PostgreSQL, Redis, and NFS.
- CI/CD and version control: Jenkins and Git.
