
Connecting Indian engineers with US startup opportunities
Mercor is a tech talent platform based in Weston, Connecticut, that connects skilled Indian software engineers with innovative US startups. By leveraging a vast network of tech professionals, Mercor facilitates the hiring process for companies looking to enhance their development capabilities. With ...
Mercor offers competitive salaries, equity options, flexible remote work arrangements, and generous PTO policies to support work-life balance....
Mercor fosters a culture of collaboration and innovation, focusing on creating meaningful connections between engineers and startups while prioritizin...

Mercor • San Francisco
Mercor is seeking a Site Reliability Engineer to own production reliability across critical systems. You'll work with AWS, Kubernetes, and Terraform to build and improve high-availability systems in San Francisco.
You have a strong background in site reliability engineering, with experience in maintaining and improving production systems. You understand the importance of uptime and production quality, and you thrive in high-intensity environments where reliability is paramount. You are comfortable working hands-on with systems, ensuring they are stable, resource-efficient, and well-observed. Your experience includes collaborating with infrastructure leadership to define priorities and reliability standards, and you are eager to help shape the SRE function from the ground up.
You have a solid understanding of the AWS ecosystem and have hands-on experience with Kubernetes and modern infrastructure as code (IaC) tooling such as Terraform. You are familiar with best practices in incident management and have a proactive approach to identifying and resolving potential issues before they impact production. You are a team player who enjoys working alongside researchers and operators to redefine how systems operate in the context of AI development.
Experience as a founding SRE or an early SRE hire is a plus, as is a background in establishing SRE practices and organizations from scratch. You are adaptable and open to learning new technologies and methodologies that can enhance the reliability and performance of systems.
As a Site Reliability Engineer at Mercor, you will own the reliability and production safety for core shared services and customer-facing systems. You will partner directly with infrastructure leadership to define SRE priorities and establish a production safety roadmap. Your role will involve repairing and improving the structure of production systems to ensure they are stable and efficient. You will introduce and implement monitoring solutions to enhance observability and response times.
You will be responsible for collaborating with cross-functional teams to ensure that reliability standards are met and maintained. This includes participating in incident response and post-mortem analyses to continuously improve processes and systems. You will also contribute to the development of best practices for system reliability and performance, ensuring that the team is aligned with industry standards.
Your hands-on approach will allow you to build and fix systems while mentoring junior engineers and sharing your knowledge with the team. You will play a key role in shaping the SRE culture at Mercor, fostering an environment of collaboration and continuous improvement.
Mercor offers a competitive salary and benefits package, along with the opportunity to work in a dynamic and innovative environment. You will be part of a team that is at the forefront of AI development, working alongside experts and researchers who are passionate about their work. Our San Francisco headquarters provides a collaborative workspace where you can thrive and contribute to meaningful projects that impact the future of AI.
We encourage you to apply even if your experience doesn't match every requirement. At Mercor, we value diverse perspectives and are committed to building a team that reflects the communities we serve. Join us in redefining the intersection of labor markets and AI research.
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