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Software Engineer I - Data Platforms

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Software Engineer I - Data Platforms in USA

  • Abnormal Security
  • Full time
  • Email
  • Remote

Responsibilities

  • 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 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 engineering, distributed systems, or infrastructure.
  • Programming proficiency in Python, Go, or a similar language; school, personal, or work experience counts.
  • Strong fundamentals in data structures, clean code, testing, and debugging.
  • Interest in learning AWS, Databricks, databases, streaming, orchestration, and related data platform technologies.
  • Curiosity, problem-solving ability, willingness to ask questions, independence, teamwork, and strong communication skills.
  • Preferred experience with Kafka, Kinesis, Flink, AWS, GCP, Azure, or large-scale data-intensive systems.

Benefits

  • Collaborative environment with mentorship from experienced engineers.
  • Opportunities for early ownership, career growth, and work on high-impact data platform projects.
  • Eligibility for bonus or incentive compensation, equity, and a comprehensive benefits package.
  • Base salary range of $122,400—$176,000 USD.

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.

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