
Transforming pathology with AI-driven insights
PathAI is a Boston-based healthcare company that leverages artificial intelligence to enhance pathology diagnostics. With over $258.6 million in funding, PathAI's innovative products, such as the AIM-HER2 Breast Cancer algorithm, automate HER2 scoring to improve cancer treatment accuracy. The compan...
PathAI offers comprehensive health plans, generous paid time off, wellness benefits, a 401(k) program, and parental leave to support employee well-bei...
PathAI fosters a culture of innovation and collaboration, focusing on AI advancements in pathology. The company emphasizes research-driven approaches ...

PathAI • Boston, MA or Remote (East Coast)
PathAI is hiring a Staff Site Reliability Engineer to design and operate their hybrid cloud and on-prem environments. You'll work with AWS, Docker, and Kubernetes to enhance infrastructure reliability and scalability. This role requires expertise in SRE best practices and cloud engineering.
You have extensive experience in site reliability engineering, with a strong focus on designing and operating hybrid cloud environments. Your background includes implementing SRE best practices, emphasizing user experience, monitoring, and automation. You are skilled in engineering infrastructure patterns for cloud environments, particularly in Amazon Web Services, ensuring security, reliability, and scalability in your designs.
You possess a deep understanding of data center operations and are adept at integrating on-premises environments with cloud infrastructure. Your analytical skills enable you to conduct thorough root-cause analyses, identifying gaps in designs and implementations to improve the reliability and resilience of infrastructure. You are comfortable participating in on-call rotations and responding to urgent incidents, demonstrating your commitment to maintaining high operational standards.
You thrive in collaborative environments, working closely with cross-functional teams, including machine learning engineers, to support their infrastructure needs. Your ability to communicate complex technical concepts clearly makes you an effective team player, and you are always eager to share your knowledge and learn from others.
Experience with automation tools and practices is a plus, as is familiarity with monitoring and alerting systems. You may also have a background in software development, which complements your SRE skills and enhances your ability to contribute to infrastructure improvements.
In this role, you will be responsible for advancing the state of operations at PathAI by implementing best practices in site reliability engineering. You will focus on user experience, monitoring, and automation, ensuring that the infrastructure meets the needs of the organization. Your work will involve engineering infrastructure patterns for cloud environments, particularly within AWS, where you will build systems that prioritize security, reliability, and scalability.
You will design, build, and operate the data center to support the rapidly growing machine learning team, integrating on-premises environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Your efforts will significantly improve the reliability and resilience of the infrastructure through root-cause analysis and by addressing gaps in design and implementation.
You will participate in platform on-call rotations, assisting with urgent incident responses and ensuring that systems remain operational and efficient. Your contributions will directly impact the success of PathAI's mission to improve patient outcomes through innovative technology.
PathAI offers a competitive salary range of $165,750 - $224,450, along with eligibility for equity awards. We believe in tailoring individual compensation packages based on skills, experience, and qualifications. Our team is dedicated to fostering a collaborative and inclusive work environment where you can grow your skills and make a meaningful impact on patient outcomes. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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