$ cat jobs/systems-engineer-azure-infrastructure-clio-7600a234fe98.json
Systems Engineer, Azure Infrastructure
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice . Summary: *Please note that if this job is still posted up, we are still hiring! We are looking to fill multiple roles so even if this job seems to be up for a while, it's because we're continuously hiring. We understand that in this job market, it feels like if you don't submit an application right away, then you won't be considered, but that's not the case here. We truly welcome you to apply anyways, and we commit to a human reviewing and processing your application as soon as we can. We are currently seeking a Systems Engineer, Azure Infrastructure to join our Systems Engineering teams. This role is available to candidates in EST/AST time zones, excluding Quebec. If you are local to our Toronto hub, then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely in Eastern Canada, but our offices are open to you if you would like to visit. What your team does: In support of our expansion of Clio Operate (formerly ShareDo) in more markets, we are adding more members to our North American team to support Clio Operate infrastructure across the globe. We are on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. To enable that experience, our Systems Engineering teams strive to build performant, reliable, and scalable infrastructure to support Clio SMB and enterprise customers, as well as empower our engineering teams to do their best work. What you'll do: Build tools and automate processes to support Clio ’s production infrastructure Collaborate with engineering teams to solve cross-disciplinary architectural scaling chall
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