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Senior Security Engineer

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Atlassian

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Location:
United States, New York ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

146300.00 - 235000.00 USD / Year
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Job Description:

As a AI engineer on Security Detections and Operations team you will build and shape the core infrastructure and toolkits to allow detection software engineers, detection and IR data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for these teams to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.

Job Responsibility:

  • Regularly tackle the largest and most complex problems in the team, from technical design to launch
  • Deliver solutions that are used by other teams and functional areas
  • Deliver AI/ML solutions which have a tangible business outcome - i.e. improve detection rate/accuracy, reduce manual toil cost and demonstrate improvement in detection and response metrics
  • Design and Deploy Tools for Proactive Threat Detection: Leverage AI/ML models to identify anomalous behavior and potential threats in real time, reducing the time to detect breaches
  • Design Automated Incident Response Workflows: Drive AI/ML-driven automation to enable rapid containment and mitigation of threats, minimizing downtime and impact
  • Design Threat Intelligence Enrichment: Leverage AI/ML to analyze large volumes of threat intelligence to provide actionable insights to endpoints, email, malware, network and application threats

Requirements:

  • Fluency in at least one modern object-oriented programming language (preferably Python, Java/Kotlin)
  • B.S. M.S. in Engineering or STEM discipline with emphasis on Data Science/AI
  • At least 1-4 years experience in real world AI cybersecurity applications (along with 6+ years of Data Science Experience)
  • Deep background in statistical modeling and techniques and experience with multimodal data sets
  • Understanding of Machine Learning project lifecycle and tools
  • Experience in architecting and implementing high-performance RESTful microservices
  • Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
  • Experience with Continuous Delivery and Continuous Integration

Nice to have:

  • Experience with Databricks or Apache Spark
  • Experience with Amazon Sagemaker
  • Experience with scaling and deploying Machine Learning models
  • Experience with using LLMs
  • Experience with frameworks and libraries i.e. TensorFlow, PyTorch, Keras, SciKit Learn, NLTK. Tools Shodan, Metasploit, AWS Bedrock, Amazon Lex
What we offer:
  • Health coverage
  • Paid volunteer days
  • Wellness resources

Additional Information:

Job Posted:
April 23, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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