Contribute to the design, development, and operation of core data platform components.
Build tools and services that help engineering 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 on 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.
Solid programming skills in Python, Go, or a similar language; school, personal, or work experience counts.
Strong software engineering fundamentals, including data structures, clean code, testing, and debugging.
Interest in learning AWS, Databricks, databases, streaming, orchestration, and related technologies.
Curiosity, problem-solving ability, willingness to ask questions, independence, teamwork, and strong communication skills.
Nice-to-have experience with Kafka, Kinesis, Flink, cloud platforms such as AWS, GCP, or Azure, or large-scale data-intensive systems.
Benefits
Collaborative and supportive environment with experienced engineering mentors.
Opportunities for early project ownership, learning, and career growth.
Potential eligibility for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range of $122,400—$176,000 USD.
The posting does not state a work arrangement or contract duration.
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.