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.

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.

In this role, you'll get the chance to:

• 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.

Our tech stack is primarily Python/Golang leveraging OCSF formatted Databricks platform across a multicloud environment.

• 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.

• 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 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.

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

Compensation

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: $221,400 - $289,050

Zone B: $199,800 - $260,850

Zone C: $184,500 - $240,875

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.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

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.