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Abnormal Security is looking for a Staff Software Engineer to lead the Cellular Architecture team. This team will be responsible for executing Abnormal Security’s strategic goal for moving their cloud infrastructure to a Cellular-based Architecture, an ambitious project to support the hyper-growth of the business, as well as a technological leap that will improve the scalability and reliability of the product offerings. This role includes responsibility for leading this effort, working cross-functionally with multiple teams, building the execution plans, and ensuring operational excellence. The ideal candidate will be: • Capable of taking a business problem that is complex and ambiguous in nature, exploring solution spaces, coming up with an execution plan and coordinating its delivery across multiple teams. • Dependable and autonomous, a proven track record of technical leadership. • An effective communicator and collaborator and willing to escalate for help when appropriate.
What you will do • Shape the cloud architecture of Abnormal Security on AWS (regions, accounts, key tools, roles) to support the transition into Cell-based Architecture. • Define the architecture of Abnormal Security’s data systems to align with the Cell-based architecture. • Deep dive into the product workflows and recommend correct trade offs for the transition. • Act as the technical lead of the team. Own their quarterly roadmap, to set, execute and deliver. Must Haves • 8 years of experience in building large-scale distributed cloud systems and architectures (preferably on AWS). • Proven track record of defining and driving engineering initiatives that involve cross-team collaboration. • Experience in building platforms, tools, and systems to serve the needs of engineering teams, empower them to ship with velocity and reliability. • Experience with or interested in Abnormal Security Tech Stack: Python, Golang, Terraform / Terragrunt, Postgresql, Kafka, Redis, OpenSearch, AWS, Kubernetes. Nice to Have • Experience in operating complex AI / ML applications at scale. • Experience in scaling a product stack from a single region to multi-region on a commercial cloud platform.
