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Staff Software Engineer - Data Platform

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years experience building platforms, tools, and systems for engineering teams, Experience with data-intensive distributed systems complex and high scale.

Key responsabilities:

  • Shape Data Platform architecture & roadmap for AI / ML applications
  • Recommend trade-offs in product workflows
  • Act as technical lead, own quarterly roadmap
Abnormal Security logo
Abnormal Security Scaleup https://www.abnormalsecurity.com/
501 - 1000 Employees
HQ: San Francisco
See more Abnormal Security offers

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, Kafka, RocksDB), as well as providing a reliable platform (Databricks, Spark, AWS/Azure) for moving and processing data that feeds the company’s powerful ML models to detect and prevent cyberattacks.  

Abnormal Security is looking for a Staff Software Engineer to spearhead the key initiatives owned by the Data Platform team. The individual in this role will have the opportunity to mentor a small team of high-caliber engineers, define and build the roadmap to unlock the next generation data platform, and execute on ambitious and challenging technical projects to deliver value . The ideal candidate is:

  • Capable of tackling complex and ambiguous business problems, exploring solutions spaces and building consensus, decomposing them into execution plans, and contributing actively.
  • Have a track record of building data intensive applications that directly or implicitly contribute to the company’s business goals.
  • Can effectively earn trust and credibility from a diverse set of Engineering, Product, and Design team members.
What you will do 
  • Shape the Data Platform architecture and roadmap of Abnormal Security to empower and scale the growing list of AI / ML applications across the company.
  • 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 
  • 5+ years experience in building platforms, tools, and systems to serve the needs of engineering teams, empower them to ship with velocity and reliability.
  • Experience in building data intensive, distributed systems that are complex and high scale as a back-end engineer. This is not a Data Engineering role. 
  • Proven track record of being a Change Agent, defining and driving engineering initiatives that involve cross-team collaboration.
  • Experience with or interested in Abnormal Security Tech Stack: Python, Golang, Terraform / Terragrunt, Postgresql, Kafka, Redis, OpenSearch, AWS/Azure, Kubernetes.
Nice to Have 
  • Experience in operating complex AI / ML applications at scale.
  • Knowledge and/or experience building out platform offerings to support other engineering teams.  

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Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Cybersecurity
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving

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