Software Engineer 1 – Data Platforms

Abnormal Security

. Contribute to the design, development, and operation of core components of Abnormal’s data platform .

Posted 9/22/2026full-timeRemote • United StatesJunior💰 $122,400 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong programming skills in Python or Go, with a solid foundation in software engineering principles such as data structures, clean code, and testing. Capable of contributing to the design and development of scalable data systems while collaborating effectively across teams.

Highest-signal resume keywords

Python ProgrammingGo ProgrammingSoftware Engineering FundamentalsAWS FamiliarityKafka Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend DevelopmentDistributed SystemsData StructuresClean CodeTestingDebugging

Soft Skills

CuriosityProblem-SolvingCommunicationTeam CollaborationIndependence

Tools & Technologies

AWSDatabricksKafkaKinesisFlinkGCPAzure

Industry Keywords

Data PlatformInfrastructure AutomationScalabilityReliabilityData-Intensive Systems

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsGoogle Cloud PlatformKafkaPythonGo

About the role

Key responsibilities & impact

Contribute to the design, development, and operation of core components of Abnormal’s data platform
Build tools and services that help other teams adopt and scale data systems
Automate infrastructure and operations to improve reliability, performance, and scalability
Apply GenAI techniques to build 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

What you’ll need

1+ years of professional experience in software engineering; backend, distributed systems, or infrastructure preferred
Solid programming skills in Python, Go, or a similar language; school, personal, or work experience count
Strong software engineering fundamentals including data structures, clean code, testing, and debugging
Interest in learning AWS, Databricks, databases, streaming, and orchestration technologies
Curiosity and problem-solving skills
Ability to work independently and as part of a team
Strong communication skills
Nice to have: experience with Kafka, Kinesis, or Flink
Nice to have: familiarity with AWS, GCP, or Azure
Nice to have: exposure to large-scale or data-intensive systems

Benefits

Comp & perks

Bonus or incentive compensation may be available
Equity may be available
Comprehensive benefits package
Collaborative, supportive environment
Opportunities for ownership and career growth
Learning from and working with experienced engineers