Senior Software Engineer, Data Platform

Enterprises of all sizes trust Abnormal AI’s cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, offering scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), as well as building services and tools to improve their operational excellence, and offering expertise to engineering and data science teams around usage of these systems at high scale.

• →Define and deliver our data platform offerings across AWS to empower and delight our internal engineering and data science customers.
• →Build tooling and services for our online storage platforms that will deliver self-serve capabilities for the team’s stakeholders.
• →Work cross functionally with other engineering teams to identify scalability gaps in their data intensive systems, owning key areas from our charter, building and executing on plans to mitigate them.

• 6+ years of experience working on data-intensive applications and distributed systems.
• Strong background in building platforms, tools, and systems to serve the needs of engineering teams, empowering them to ship with velocity and reliability.
• Depth in one or more types of online data storage systems (relational, key-value, document-oriented, or columnar databases) either as an expertise provider or as a power user, in a high scale environment.
• Proven track record of being a change agent, defining and driving engineering initiatives that involve cross-team collaboration
• Expertise in one or more key areas of the Data Platform online storage tech stack - relational DBs, RocksDB, ElasticSearch, Redis, Kafka
• Excellent ability and strong desire to onboard and mentor other engineers.