Senior Security Engineer

Overview

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Responsibilities

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.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

In This Role, You'll Get The Chance To

• 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.
  
  
  

Our tech stack is primarily Python/Golang leveraging OCSF formatted Databricks platform. We are primarily a AWS house.

On your first day, we’ll expect you to have

• 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).
• The engineer should have deep background in statistical modeling and techniques and experience with multimodal data sets. A large part of their programming experience would be focussed on pre & post processing logs, models, and performance dashbaords.
• 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.
  
  
  

Preferred Experience

• Experience with Databricks or Apache Spark.
• Experience with Amazon Sagemaker.
• Experience with scaling and deploying Machine Learning models.
• Experience with using LLMs.
  
  
  

Nice to Have

Experience with frameworks and libraries i.e. TensorFlow, PyTorch, Keras, SciKit Learn, NLTK. Tools Shodan, Metasploit, AWS Bedrock, Amazon Lex

Qualifications

Compensation

Skills

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $176,200 - $235,000

Zone B: $158,600 - $211,500

Zone C: $146,300 - $195,000

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Our Perks & Benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh .