What are the responsibilities and job description for the Sr DevOps Engineer - AI Services position at Devopshunt?
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Education
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Job DetailsJob Type
Full-time
Location
Remote
Full Job Description About Anaconda
With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit Anaconda.
Here is what people love most about working here : We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world.
Summary : Anaconda is seeking a talented Senior DevOps Engineer to join our rapidly growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning.
What You'll Do :
- Design and implement scalable AWS infrastructure, with particular focus on Lambda functions, RDS, and message bus architectures.
- Build and maintain robust MLOps pipelines for deploying and monitoring LLM models in production environments.
- Develop and optimize real-time communication systems using WebSockets and WebRTC for ML inference services.
- Create and maintain Python packages with C extensions, focusing on performance optimization and reliability.
- Design and implement comprehensive monitoring and telemetry systems across our infrastructure.
- Manage and optimize Kubernetes clusters for ML workloads, ensuring efficient resource utilization and high availability.
- Architect and maintain efficient CI / CD pipelines for both infrastructure and application deployments.
- Collaborate with AI and research teams to understand and implement infrastructure requirements for new ML models and features.
- Optimize system performance and cost efficiency across our AWS infrastructure.
- Lead technical discussions and provide expertise in infrastructure and deployment strategies.
- Implement and maintain security best practices across our infrastructure.
- Participate in on-call rotations and lead incident response efforts when necessary.
What You Need :
What Will Make You Stand Out :
Why You'll Like Working Here :
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
This job post expires 30 days from its original post date.
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