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Atlassian

Senior Principal Software Engineer, AI Trust & Safety

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Hiring Remotely in Austin, TX, USA
In-Office or Remote
Hiring Remotely in Austin, TX, USA

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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. This is a remote position.
About Trust Engineering
Atlassian builds products like Jira, Confluence, Bitbucket, and Trello that millions of users and hundreds of thousands of organizations rely on to collaborate and ship software. Our customers trust us with their ideas, source code, configuration, and sensitive business workflows.
The Trust organization is responsible for the security, privacy, compliance, and anti-abuse foundations that enable customers to use Atlassian products with confidence. We:
  • Define and enforce standards for AI trust, safety, and responsible use across Atlassian
  • Provide security and trust capabilities that product teams can build on
  • Protect Atlassian's products and cloud infrastructure from abuse and malicious activity
  • Safeguard customer data and uphold our privacy and compliance commitments

Within Trust Engineering, we are building a new Trust AI & Data Engineering team to make AI a safe, effective, and reliable part of how we protect customers and our platform.
About The Role & Team
We are looking for a Senior Principal Software Engineer (P70) to define what "AI-powered trust and safety" means at Atlassian and to lead the application of AI for Trust & Safety. This is a net-new, foundational role in a newly forming AI team inside Trust Engineering. Reporting to the Head of Trust Engineering, you will help shape the new team's charter and technical strategy, architecture, culture, and mentor engineers.
Think of this role as building the AI platform within Trust & Safety. You will:
  • Own the Applied AI Roadmap for Trust & Safety
  • Architect the systems for AI-driven trust workflows
  • Build and integrate LLMs and AI services into production systems
  • Define and implement guardrails, evaluations, and monitoring to keep AI-powered systems safe and accountable
  • Build the data pipelines, APIs, and tooling that make AI practical, observable, and cost-efficient in production
  • Optimize cloud infrastructure costs and build tooling to manage AI/data spending at scale
  • Collaborate with teams across Atlassian to improve our AI Trust & Safety posture

The Senior Principal Software Engineer will partner closely with AI, security, abuse, privacy, and compliance stakeholders to understand their hardest problems and deliver AI-native workflows in incremental loops, always anchored in measurable trust and safety outcomes.
On Your First Day, We'll Expect You To Have:
  • 12+ years of industry experience in software engineering, with a strong track record of building and operating production systems at scale.
  • Strong proficiency in Python and at least one of Go or Java, with the ability to write mature, production-quality code.
  • Demonstrated applied AI experience in production, such as:
    • Integrating foundation models (LLMs or other generative models) into products or internal tools
    • Designing and operating agentic or workflow-orchestration systems that call multiple tools and services
    • Building retrieval or context systems (e.g., vector databases, embeddings pipelines) for AI workflows
  • Hands-on experience with cloud data and compute platforms (e.g., AWS, GCP, Databricks, Spark, SQL), and with designing data models and pipelines for AI-driven applications.
  • Proven operational maturity: you've owned services end-to-end, handled incidents, and improved reliability, quality, and cost efficiency over time.
  • Strong communication and collaboration skills, including:
    • The ability to explain AI/ML concepts and tradeoffs to non-technical stakeholders
    • A track record of influencing senior leaders and driving alignment across teams
  • Demonstrated success leading large, ambiguous, cross-functional efforts from concept through to measurable impact.
  • Experience in or strong interest in security, privacy, anti-abuse, or trust & safety domains.

Why Join Trust Engineering Now?
  • Foundational timing: Join as we form the Trust AI & Data Engineering team within Trust Engineering and help shape its charter, architecture, and culture.
  • Meaningful impact: Your work will directly affect how safely millions of users collaborate, share code, and run their businesses on Atlassian products.
  • Unique scope: This role combines a large technical scope (AI systems, platforms, data) with broad organizational influence across security, privacy, abuse, compliance, and Central AI.
  • Deep, evolving domain: AI trust & safety is a rapidly developing space. You'll be at the forefront of defining best practices and standards-inside Atlassian and across the industry.

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: $239,400 - $312,550
Zone B: $216,000 - $282,000
Zone C: $198,900 - $259,675
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 .

Atlassian Austin, Texas, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

Atlassian Austin, Texas, USA Office

303 Colorado St , Austin, TX, United States, 78701

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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