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Description:
This is a fully remote role, allowing you to work from anywhere in the world.
At Synthflow, we’re building the easiest way for businesses to create AI-powered phone agents with no coding required.
We are passionate about delivering the future of voice technology with scalable solutions.
We are looking for innovative DevOps Engineers to optimize the deployment, monitoring, and performance of our MLOps and LLM systems.
Key responsibilities include developing and managing a scalable and secure infrastructure for deploying TTS, STT, and LLM applications, creating and maintaining CI/CD pipelines, working alongside ML engineers, monitoring system performance, and implementing best practices in cloud technology and MLOps/LLM Ops tools.
Requirements:
Candidates must have experience in DevOps with a deep focus on MLOps and experience in LLM Ops.
Proficiency with cloud services such as AWS, GCP, and Azure is required for deploying ML and LLM environments.
Expertise in container technologies like Docker and orchestration tools such as Kubernetes is necessary.
Strong communication skills are essential for effective collaboration with both technical and non-technical teams.
A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
A minimum of 3 years of experience in DevOps, with significant exposure to MLOps and preferably LLM Ops, is needed.
Strong programming and scripting skills in languages like Python are required.
Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks is essential.
Benefits:
We offer high-ownership roles in a fast-moving startup, providing autonomy at speed.
The position allows for remote-first flexibility, enabling you to contribute from anywhere on your schedule.
You will work with cutting-edge technology on projects that interest you most.
There are opportunities for career growth as the company expands, allowing you to scale your impact.
We provide a competitive pay package, equity options, and comprehensive benefits that reflect your skills and experience.