Contribute to the design, development, and operation of core data platform components.
Build tools and services that help engineering and data science teams adopt and scale data systems.
Automate infrastructure and operations to improve reliability, performance, and scalability.
Apply GenAI techniques to create smarter developer and operator experiences.
Collaborate across engineering teams to solve scalability and reliability challenges.
Own projects and deliver features end-to-end with guidance from senior engineers.
Requirements
At least 1 year of professional software engineering experience, preferably in backend, distributed systems, or infrastructure.
Programming skills in Python, Go, or a similar language; school, personal, or work experience counts for these skills.
Strong software engineering fundamentals, including data structures, clean code, testing, and debugging.
Interest in learning AWS, Databricks, databases, streaming, orchestration, and other data platform technologies.
Curiosity, problem-solving ability, willingness to ask questions, independence, teamwork, and strong communication skills.
Nice-to-have experience with PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB, cloud platforms such as AWS, GCP, or Azure, or large-scale data-intensive systems.
Benefits
Collaborative and supportive environment with opportunities to learn from experienced engineers.
Meaningful early ownership and career growth opportunities.
Opportunity to help shape the company’s data platform at a fast-growing AI-first company.
Base salary may be supplemented by bonus or incentive compensation, equity, and a comprehensive benefits package.
The posting provides a base salary range of $122,400—$176,000 USD; compensation varies by skills, experience, qualifications, and geographic location.
Salary: $122k - $176k/yr
Abnormal Security
Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.