Principal Security Engineer

Atlassian • Washington, DC

218d • $184,500 - $289,050

About The Position

As a lead automation and AI engineer in Security Detections and Operations team, you will build and shape the core infrastructure and toolkits to allow security detection engineers to develop, train, evaluate, deploy, and operate machine learning models and pipelines. You will also lead the team in architecting and designing large scale solutions that will help automate incident response, investigation, and security operations functions across Atlassian. Along with that, you will build systems for these teams to provide access to curated LLMs and use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to lead engineers to drive involved projects from technical design to launch, collaborating with other teams and internal customers to set expectations, gather input and communicate results. You will also help create and drive your team’s technology innovation and vision to improve scale, consistency, and efficacy of numerous security operations programs.

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 or equivalent proven practical experience.
• At least 2-4 years experience in real world AI cybersecurity applications (along with 3+ years of Data Science Experience).
• 4+ years designing and building security automation solutions and frameworks that focused on scale, manual toil reduction, and integration with a wide variety of industry standard security platforms.
• Deep background in statistical modeling and techniques and experience with multimodal data sets.
• Experience with pre & post processing logs, models, and performance dashboards.
• Understanding of Machine Learning project lifecycle and tools.
• Experience in architecting and implementing high-performance RESTful micro-services.
• Demonstrated experience leading engineering teams in delivering large scale, enterprise class security solutions from design to go live delivery.
• Strong track record of collaboration and influence stakeholders while being an active mentor to junior members of the team.
• Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking) and Google Cloud Platform.
• Experience with Continuous Delivery and Continuous Integration.

Nice To Haves

• 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 and tools like Shodan, Metasploit, AWS Bedrock, Amazon Lex.

Responsibilities

• Lead the team in tackling the largest and most complex technology challenges, from design to launch.
• Deliver practical and elegant solutions that create measurable high-impact solutions that are used by other teams and functional areas.
• Design and 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 deliver Automated Incident Response Workflows - drive AI/ML-driven automation to enable rapid containment and mitigation of threats, minimizing downtime and impact.
• Design and deliver 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.

Benefits

• Health and wellbeing resources.
• Paid volunteer days.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees