Offer summary

Qualifications:

6+ years of experience in data-intensive applications and distributed systems., Strong background in building platforms and tools for engineering teams., Expertise in online data storage systems such as relational, key-value, or document-oriented databases., Proven track record of driving engineering initiatives and mentoring other engineers..

Key responsabilities:

Define and deliver data platform offerings across AWS for internal customers.

Build tooling and services for online storage platforms to enable self-serve capabilities.

Work cross-functionally to identify and mitigate scalability gaps in data systems.

Own key areas of the data platform and execute plans to enhance operational excellence.

Job description

About the Role

Enterprises of all sizes trust Abnormal Security’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.

The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation data platform, and execute on ambitious and challenging technical projects to deliver value to Abnormal and its customers.

There are a lot of opportunities for growth and career advancement – including growing into a Staff technical leadership role.

What you will do

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.

Must Haves

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.

Required profile