Atlassian
Overview
Join to apply for the
Principal Security Engineer
role at
Atlassian . 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 lead automation and AI engineer in Security Detections and Operations, you will build and shape the core infrastructure and toolkits to enable security detection engineers to develop, train, evaluate, deploy, and operate machine learning models and pipelines. You will lead the team in architecting and designing large-scale solutions to automate incident response, investigation, and security operations across Atlassian. You will build systems that provide access to curated LLMs and apply your software development expertise to solve complex infrastructure and architecture challenges. You will lead engineers on projects from technical design to launch, collaborating with other teams and internal customers to set expectations, gather input, and communicate results. You will help create and drive your teams technology innovation and vision to improve scale, consistency, and efficacy of 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 outcomes used by other teams and functional areas. Design and deliver AI/ML solutions with tangible business outcomesimproving detection rate/accuracy, reducing manual toil, and demonstrating improvements in detection and response metrics. Design and deliver Automated Incident Response Workflowsdrive 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 an OCSF-formatted Databricks platform across a multicloud environment. Qualifications
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 focus on scale, reducing manual toil, and integrating with a wide variety of industry-standard security platforms. Deep background in statistical modeling and techniques with experience on multimodal data sets. Programming focused on preprocessing/postprocessing 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 collaboration and ability to influence stakeholders while mentoring junior team members. Experience building and operating large-scale distributed systems using AWS (S3, Kinesis, CloudFormation, 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 scaling and deploying Machine Learning models. Experience using LLMs. Nice to Have
Experience with frameworks and libraries such as 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. The baseline of our range is higher than the typical market range, and we hire most candidates near this baseline. Base pay within the range is determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, the 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
At Atlassian offers a wide range of perks and benefits designed to support you and your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Software Development Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Principal Security Engineer jobs in
Austin, TX . #J-18808-Ljbffr
Join to apply for the
Principal Security Engineer
role at
Atlassian . 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 lead automation and AI engineer in Security Detections and Operations, you will build and shape the core infrastructure and toolkits to enable security detection engineers to develop, train, evaluate, deploy, and operate machine learning models and pipelines. You will lead the team in architecting and designing large-scale solutions to automate incident response, investigation, and security operations across Atlassian. You will build systems that provide access to curated LLMs and apply your software development expertise to solve complex infrastructure and architecture challenges. You will lead engineers on projects from technical design to launch, collaborating with other teams and internal customers to set expectations, gather input, and communicate results. You will help create and drive your teams technology innovation and vision to improve scale, consistency, and efficacy of 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 outcomes used by other teams and functional areas. Design and deliver AI/ML solutions with tangible business outcomesimproving detection rate/accuracy, reducing manual toil, and demonstrating improvements in detection and response metrics. Design and deliver Automated Incident Response Workflowsdrive 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 an OCSF-formatted Databricks platform across a multicloud environment. Qualifications
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 focus on scale, reducing manual toil, and integrating with a wide variety of industry-standard security platforms. Deep background in statistical modeling and techniques with experience on multimodal data sets. Programming focused on preprocessing/postprocessing 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 collaboration and ability to influence stakeholders while mentoring junior team members. Experience building and operating large-scale distributed systems using AWS (S3, Kinesis, CloudFormation, 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 scaling and deploying Machine Learning models. Experience using LLMs. Nice to Have
Experience with frameworks and libraries such as 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. The baseline of our range is higher than the typical market range, and we hire most candidates near this baseline. Base pay within the range is determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, the 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
At Atlassian offers a wide range of perks and benefits designed to support you and your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Software Development Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Principal Security Engineer jobs in
Austin, TX . #J-18808-Ljbffr