Staff Computer Vision/AI Engineer
Skills
- Expertise in cloud development and continuous learning mindset.
- Proficiency with AWS services including EC2, Lambda, ECS, RDS, and DocumentDB.
- Experience building high-scale event-driven architectures using Kafka.
- Knowledge of Infrastructure as Code with Terraform and CloudFormation.
- Experience ensuring high availability deployments across multiple regions.
- Competence with observability tools like SumoLogic, DataDog, and CloudWatch.
- Strong version control skills using Git, GitHub, and pull requests.
- Ability to operate effectively in fast-paced, deadline-driven, collaborative environments.
- Leadership in defining and promoting best practices in cloud codebases.
Responsibilities
- Collaborate with developers, product managers, and designers to guide technical decisions.
- Lead architecture and design of the client cloud platform.
- Mentor developers and contractors throughout the development lifecycle.
- Prototype new concepts to inform final implementations.
- Stay current with cloud trends and technologies.
- Automate processes using CI/CD pipelines.
- Manage Infrastructure as Code and support software releases.
- Build tools enabling teams to operate in an owner-operator model.
Education
- BS or MS degree in Computer Science or equivalent practical experience.
Benefits
- Opportunity to work with leading experts in AI, IoT, Cloud, and Mobile technologies.
- Engage in high impact projects disrupting multiple industries.
- Collaborative and innovative work environment.
- Remote work flexibility.
Average salary estimate
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