
About Ema
Empowering enterprises with universal AI agents
Key Highlights
- $61M raised in seed funding to develop AI technology
- Headquartered in SoMa, San Francisco, CA
- 21-100 employees, fostering a startup environment
- Configurable AI agents designed for various enterprise roles
Ema is a San Francisco-based startup focused on developing next-generation AI technology to empower employees across enterprises. With $61 million in funding, Ema aims to create configurable AI agents that take on repetitive tasks, enhancing productivity and creativity for their users. The company s...
🎁 Benefits
Ema offers competitive salaries, equity options, flexible PTO, and a remote-friendly work policy to support work-life balance. Employees also benefit ...
🌟 Culture
Ema promotes a culture of innovation and efficiency, focusing on leveraging AI to enhance human creativity. The company values adaptability, allowing ...

Devops Engineer • Mid-Level
Ema • San Francisco - Hybrid
Skills & Technologies
Overview
Ema is hiring a DevOps Engineer to design and build their platform and infrastructure. You'll work with AWS, Docker, and Kubernetes to ensure system reliability and performance. This position requires experience in DevOps practices and cloud technologies.
Job Description
Who you are
You are an experienced DevOps Engineer with a strong background in designing and building scalable infrastructure. You have a deep understanding of cloud technologies, particularly AWS, and are proficient in containerization tools like Docker and orchestration platforms such as Kubernetes. Your experience with Linux systems allows you to manage and optimize server environments effectively.
You thrive in collaborative environments and enjoy working closely with software engineers to ensure seamless integration and deployment processes. Your problem-solving skills enable you to troubleshoot issues efficiently, ensuring high availability and performance of applications. You are passionate about automation and continuously seek ways to improve processes through CI/CD practices.
You have a track record of implementing monitoring and alerting systems to maintain operational excellence. Your ability to communicate technical concepts clearly helps bridge the gap between development and operations teams, fostering a culture of collaboration and shared responsibility.
Desirable
Experience with infrastructure as code tools like Terraform or CloudFormation is a plus. Familiarity with security best practices in cloud environments will set you apart. You are also open to learning new technologies and adapting to the evolving landscape of DevOps practices.
What you'll do
In this role, you will be responsible for designing and implementing the infrastructure that supports Ema's AI technology. You will work on building CI/CD pipelines to automate deployment processes, ensuring that new features are delivered quickly and reliably. Your focus will be on enhancing system reliability and performance, which is critical as the company scales its product and user base.
You will collaborate with software engineers to optimize application performance and troubleshoot issues as they arise. Your expertise in AWS will be essential for managing cloud resources and ensuring cost-effective solutions. You will also implement monitoring solutions to track system health and performance metrics, allowing for proactive maintenance and incident response.
As part of a hybrid team, you will participate in regular meetings to discuss project progress and share insights on best practices. You will have the opportunity to mentor junior team members, sharing your knowledge of DevOps methodologies and tools. Your contributions will directly impact the efficiency and effectiveness of Ema's operations, helping to empower employees through innovative AI solutions.
What we offer
Ema provides a dynamic work environment where innovation is encouraged. You will be part of a talented team with backgrounds from leading tech companies, and you will have the opportunity to work on cutting-edge AI technology. We offer competitive compensation, including equity options, and a comprehensive benefits package. Our hybrid work model allows for flexibility, with the expectation of in-office collaboration three days a week. Join us in shaping the future of enterprise productivity through AI.
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