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Atlassian offers flexible work options—office, remote, or hybrid—and can hire from any country with a legal entity, including Australia and New Zealand for roles with sufficient timezone overlap. They are seeking a Principal Backend Software Engineer focused on delivering creative improvements for engineering teams. The future team aims to be a 100-year company with a world-class engineering organization of empowered teams, prioritizing AI initiatives and helping customers migrate to the cloud, delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle the largest and most complex problems from design to launch, deliver cross-team solutions, determine plans of attack on large projects, and handle architecture challenges while applying standards. You will also lead code reviews and documentation, fix high-risk bugs, set the standard for code reviews, collaborate on company-wide initiatives, transfer knowledge across languages, and mentor junior engineers.

- Atlassian is hiring a Principal in Strategy and Business Operations to partner with the Teamwork Collection (Jira, Confluence, Loom, Trello, Growth) and drive high-impact strategy, growth, and operations initiatives. - The SBO team leads projects from inception to delivery, developing creative, high-quality recommendations and providing insight into what’s working and what’s not for business performance. - The role supports leaders across the Teamwork Collection to accelerate innovation across Atlassian’s largest products, in a fast-moving, distributed-first environment with flexible work locations. - Key responsibilities include mapping innovations to company priorities, driving strategic and data-driven decision-making, leading long-range and short-/medium-term planning with OKRs, and owning business reviews to inform executives about progress and the health of key drivers, while collaborating with product, sales, marketing, data science, and finance. - On day one, candidates should have 8+ years in high-growth software/tech in BizOps or consulting/investment banking, be comfortable with ambiguity and use a structured approach to decision-making, demonstrate strong executive presence and communication, show ownership and independence, and be intellectually curious about technology.

Atlassian supports flexible, distributed work and hires globally where it has a legal entity, with virtual interviews and onboarding. They’re seeking an exceptional Solutions Engineer to collaborate with enterprise sales and regional partners to understand customer needs, strategize on engagement, deliver compelling demonstrations, and drive business closures. The role sits within a team serving 300,000 customers (including NASA, IBM, Hubspot, Samsung, and Coca-Cola) and emphasizes value selling, a “play as a team” culture, and strong earnings potential in cloud and AI opportunities. Responsibilities include strategic technical engagement, identifying cross-product opportunities, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy. Qualifications require a bachelor’s degree or equivalent, 8+ years in presales or solution engineering or related customer-facing tech roles, deep knowledge of Atlassian products, proven demonstrations and evaluations, ability to identify expansion opportunities, and strong communication and collaborative execution skills.

Atlassian offers flexible, distributed-first work arrangements, allowing offices, home, or hybrid work, and hires globally where there is a legal entity, with virtual interviews and onboarding. The company is seeking an exceptional Solutions Engineer to tackle complex enterprise challenges, collaborating with enterprise sales and regional partners to understand needs, map them to Atlassian’s value, and drive deals to closure through compelling demonstrations. The role contributes to customer success and Atlassian’s growth, supported by a team that values value selling, teamwork, and a culture where employees collaborate with Atlassian, not merely for it. Responsibilities include strategic technical engagement with sales, identifying opportunities to expand via cross-product solutions, solving client problems, presenting product expertise, delivering value-driven demos, providing technical sales leadership, and advocating for customers. Qualifications require a bachelor’s degree or equivalent, 8+ years in presales/solution engineering or similar roles, deep knowledge of Atlassian products, proven ability to deliver impactful demos and technical evaluations, and strong collaboration, communication, and organizational skills in fast-paced settings.

Atlassian offers flexible, distributed-first work options—employees can work from an office, from home, or a combination, with virtual interviews and onboarding and the ability to hire in any country with a legal entity. They’re seeking an exceptional Solutions Engineer to tackle complex customer challenges, secure large enterprise deals, and collaborate with the enterprise sales team and regional channel partners to understand needs and drive closure. The role involves strategic technical engagement, identifying cross‑product opportunities, solving client problems, acting as a product expert, delivering value‑driven demonstrations, and guiding customers on best practices and implementation. Atlassian’s team supports over 300,000 customers (including NASA, IBM, Hubspot, Samsung, and Coca‑Cola), emphasizes value selling and a “play as a team” culture, and offers high earnings potential in cloud and AI opportunities, with employees working with Atlassian, not for Atlassian. Qualifications include a bachelor’s degree or equivalent, 8+ years in presales or solution engineering, deep product knowledge, proven demonstrations and evaluations, the ability to identify expansion opportunities, and strong collaboration and communication skills.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket enabling collaboration and real-world impact such as NASA’s Mars Rover and Cochlear’s hearing devices. The company has a Central AI Org focused on AI innovation and building a robust Atlassian AI infrastructure, including horizontal AI capabilities and a centralized search, Q&A, and conversational AI system. The AI & ML Platform Team aims to democratize AI/ML by providing productive tools that integrate with the Atlassian Data Platform to develop, deploy, measure, and operate AI experiences while adhering to security and data usage policies. The Senior Machine Learning System Engineer role involves developing core infrastructure for ML across Atlassian products, collaborating with teams like Jira and Confluence, and curating datasets or fine-tuning LLMs as needed. The position offers opportunities to lead from design to launch, deliver AI features used by millions, contribute to cross-team initiatives, mentor junior members, and work with flexible arrangements across countries where Atlassian has a legal entity.

Atlassian’s mission to unleash the potential of every team is realized through its collaborative products like Jira, Confluence, and Bitbucket that help teams succeed. The Central AI Org, and specifically the AI & ML Platform team, drives AI innovation, builds horizontal AI capabilities, and aims to establish a centralized search, Q&A, and conversational AI system integrated across all Atlassian products. Their goal is to democratize AI/ML by creating tools for development, deployment, measurement, and operation of AI experiences, with integration to the Atlassian Data Platform and strict security and data usage policies. The Senior Machine Learning System Engineer role focuses on developing core infrastructure that enables engineers, ML engineers, and data scientists to build, train, deploy, and manage ML models, collaborating with teams like Jira and Confluence and fine-tuning LLMs. Responsibilities include delivering cutting-edge AI solutions used by millions, conducting code reviews and documentation, partnering on company-wide initiatives, and mentoring junior team members.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration and have powered breakthroughs from NASA’s Mars Rover to Cochlear’s hearing devices. The Central AI Org aims to drive AI innovation across all products by developing horizontal AI capabilities and infrastructure, and by building a centralized Search, Q&A, and Conversational AI system that can integrate with all Atlassian products and beyond. The AI & ML Platform Team focuses on democratizing AI and ML by creating tools to develop, deploy, measure, and operate AI/ML experiences that seamlessly integrate with the Atlassian Data Platform while upholding security and data usage policies. The Senior Machine Learning System Engineer role involves building and refining core infrastructure for ML models and pipelines, collaborating with product teams to address ML challenges, and potentially curating datasets or tuning LLMs. Responsibilities include leading projects from design to launch, delivering cross-product AI features used by millions, performing code reviews and documentation, partnering on company-wide initiatives, and mentoring junior team members, all while offering flexible work arrangements and hiring in any country with a legal entity.

Atlassian’s mission is to unleash the potential of every team, with collaborative products like Jira, Confluence, and Bitbucket that help teams succeed. The company’s Central AI Org aims to drive AI innovation across all products, building robust AI infrastructure and a centralized Search, Q&A, and Conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team works to democratize AI by creating productive, reliable tools that enable development, deployment, measurement, and operation of AI/ML experiences, integrated with the Atlassian Data Platform and following strict security policies. The role of Senior Machine Learning System Engineer involves developing core infrastructure that enables engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and curating datasets or fine-tuning open-source or proprietary LLMs. You’ll lead projects from design to launch, deliver solutions used across products, conduct code reviews and bug fixes, partner on company-wide initiatives, and mentor junior team members.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that power collaboration across diverse teams and drive real-world breakthroughs (such as NASA’s Mars Rover and Cochlear). You will join the Central AI Org, specifically the AI & ML Platform team, which is dedicated to driving AI innovation across Atlassian products and building a robust AI infrastructure for the future. The Central AI Org aims to develop horizontal AI capabilities, establish a centralized Search, Q&A, and Conversational AI system, and explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams and customers by creating productive, reliable tools that integrate with the Atlassian Data Platform while adhering to security and data usage policies. As a Senior Machine Learning System Engineer, you’ll architect core ML infrastructure, collaborate with product teams, curate datasets, fine-tune or access LLMs, lead end-to-end projects, deliver cross-team AI features, perform reviews and documentation, and mentor junior engineers.

Atlassian’s mission is to unleash the potential of every team, supported by collaboration products like Jira, Confluence, and Bitbucket that empower teams to succeed and even enable world-changing moments like NASA’s Mars rover and Cochlear’s hearing solution. The role sits in the Central AI Org, specifically the AI & ML Platform team, which drives AI innovation, builds horizontal AI capabilities, and creates a centralized Search, Q&A, and Conversational AI system that integrates with all Atlassian products and explores AI solutions beyond the ecosystem. The AI & ML Platform Team aims to democratize AI/ML across Atlassian’s teams, customers, and ecosystem by delivering productive tools to develop, deploy, measure, and operate AI experiences, in integration with the Atlassian Data Platform and while adhering to security and data usage policies. As a Senior Machine Learning System Engineer, you’ll develop the core infrastructure enabling engineers and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence, curating datasets, fine-tuning open-source LLMs or using proprietary LLMs, and leading projects from design to launch. Atlassian supports flexible work arrangements and hiring in any country with a legal entity, with responsibilities including delivering impactful solutions used by millions, performing code reviews, documentation, bug fixes, cross-team initiatives, and mentoring junior teammates.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. - The Senior Customer Success Architect (AI) will lead time-boxed, co-built engagements to move Rovo adoption from initial activation to measurable business value and develop repeatable, scalable methodologies. - The role partners with enterprise teams on complex activations, builds playbooks, runs internal enablement, and stays aligned with Rovo Product and Engineering, bridging AI expertise with customer success leadership. - Senior CSAs are technical experts who provide Atlassian solutions and guidance, collaborating with Pre-Sales, Post-Sales, and Product teams to help customers achieve their outcomes. - The aim is to maximize enterprise customers’ Atlassian investment and expand AI and the Atlassian System of Work into new use cases and markets by showcasing successes and driving broader adoption.

At Atlassian, you can work in an office, from home, or in a hybrid setup, and the company hires globally where it has a legal entity, with sufficient timezone overlap allowing candidates from anywhere in Australia and New Zealand for this role. If you’re interested, apply and chat with the Recruitment team, as Atlassian is seeking Engineers to join Sydney teams such as Jira Server, Jira Cloud, and Growth. The Senior Software Engineer role emphasizes taking high responsibility, mentoring others, and serving as a role model while continuing to grow your skills. Atlassian supports learning new technologies and allows you to interview in the language you’re best at, even if you don’t have Java experience, since they value using the right tool for the job. In this role, you’ll drive large autonomous projects from design to launch, tackle architecture challenges, lead code reviews, collaborate across teams on company-wide initiatives, and mentor junior engineers while transferring knowledge from your current language to excel as a Java developer.

Atlassian offers flexible work locations—office, remote, or a mix—so employees can better support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. You’ll join a global Leadership Operations team of over 80 Executive and Administrative Assistants dedicated to empowering Atlassian leaders, thriving as a collaborative, non-siloed community. The role encompasses calendar management across multiple time zones, meeting prep and note-taking, and leading virtual and in-person events with logistics, vendor relationships, and negotiations. It also involves cross-functional collaboration, internal communications, driving the rhythm of business with leadership meetings and planning, plus financial management, travel arrangements, and expense oversight. Atlassian supports career growth in Leadership Operations with clear progression paths, opportunities to lead projects, and internal mobility across roles, aided by tools like the Atlassian Suite, Google Workspace, Slack, Zoom, and Workday.

- Atlassian lets employees choose where they work—office, remote, or hybrid—to better support family, personal goals, and priorities. - They hire people in any country with a legal entity, and with enough time zone overlap, eligible candidates can come from Australia or New Zealand for this role. - Atlassian is looking for a Principal Frontend Software Engineer to design, build, evolve, and maintain web frontend systems to deliver excellent user experiences. - The future team is part of a world-class, empowered engineering organization within a unified R&D effort focused on cloud migration and delivering value across Jira, Confluence, Trello, and Bitbucket. - Responsibilities include building high-performing client code, designing scalable UI systems, collaborating across engineers, designers, and managers, leading code reviews and documentation, driving project success end-to-end, and mentoring other engineers.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization, to help build agentic LLM harnesses powering high-visibility AI features and context-aware experiences for every user and agent. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with a mix of software engineers and ML engineers who partner across Rovo + AI and product teams to build insights, modelling, and personalisation that deliver relevant context to users and AI agents, while emphasizing ownership, autonomy, and asynchronous collaboration. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions for existing and new AI features; improving quality and reducing cost of production LLM systems; building robust evaluation capabilities; and contributing to fine-tuning and model serving, while helping set the long-term technical direction. You will act as a thought partner to Engineering Managers and Heads of Engineering, influence technical direction across stakeholder teams, lead small virtual squads that own critical components, and coach junior engineers to help the team achieve its key results.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever they have a legal entity. - They’re seeking a Senior Machine Learning Engineer for the AI Context team within Rovo + AI to build agentic LLM harnesses powering high-visibility AI features and contextually aware experiences. - The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with software and ML engineers focused on insights, modeling, and personalization to provide relevant context to users and AI agents. - The role involves designing, building, shipping, and operating agentic LLM harness solutions, improving quality and reducing cost, developing evaluation capabilities, and contributing to fine-tuning and model serving, while shaping long-term technical direction. - You’ll act as a thought partner to engineering leaders, influence direction across teams, lead small virtual squads, and coach junior engineers to help the team achieve its key results.

Atlassian offers flexible work locations—office, home, or hybrid—and hires in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer to join the AI Context team within Rovo + AI to build agentic LLM harnesses powering high-visibility Rovo AI features and contextual experiences for users and agents. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with a mix of software and machine learning engineers collaborating with Rovo + AI and product teams to deliver insights, modelling, and personalization. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving production LLM quality and cost, building robust evaluation capabilities, and contributing to fine-tuning and model serving, while shaping the long-term technical direction. The role involves navigating complex systems, proposing durable architectures, partnering with Engineering Managers and Heads of Engineering, leading small virtual squads, and coaching junior engineers to achieve key results.

DX is a Salt Lake City–based, fast-growing SaaS company that analyzes developer productivity data for teams at Pinterest, GitHub, BNY, Xero, and others, has tripled ARR, and was recently acquired by Atlassian to accelerate growth and impact. The company values individual mastery and high performance, believing that while outcomes are influenced by many factors, employees should strive to do their jobs at the highest level. The APAC Marketing Lead is a founding-marketer role aimed at expanding DX’s presence in APAC and serving as the connector between the region and global marketing to identify target accounts, tailor programs, and win in the region. Responsibilities include maintaining target accounts, partnering with AEs, executing engagement plays, shaping APAC messaging and content, coordinating events and executive programs, and running regionally tailored webinars and assets with demand-gen support. In the first six months, success means forming a working APAC account view and relationships, planning executive programs, delivering regional asset adaptations and at least one regional webinar, and generating early traction plus market intelligence for PMM and demand-gen decisions.

DX is a fast-growing SaaS company based in Salt Lake City that provides data-driven insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero, and it recently closed an acquisition by Atlassian. DX emphasizes mastery and performance, valuing individuals who strive to be the best at their craft and focusing on doing the job at the highest level given external uncertainties. The APAC Marketing Lead role is a founding-marketer position charged with expanding DX's presence in Asia-Pacific by translating regional needs to global marketing, identifying target accounts, and partnering with AEs to build and execute regionally tailored engagement plays. Responsibilities include maintaining a target-account view, messaging and market intelligence, coordinating events and executive programs, leading regional webinars and content, and pursuing growth experiments to broaden DX's APAC reach. In the first six months, success means articulating the APAC account map and relationships, planning at least one executive program, adapting assets for the region, hosting a regional webinar, and delivering early market intelligence that informs PMM and demand-gen decisions, with measurable traction by months 3–5.

DX is a fast-growing SaaS company headquartered in Salt Lake City that uses millions of data points daily to power insights into developer productivity and experience, serving customers like Pinterest, GitHub, BNY, and Xero, and it recently closed on its acquisition by Atlassian. The company values individual mastery and high performance, believing that those who excel at their craft will thrive and be rewarded, even though outcomes are influenced by external factors. The APAC Marketing Lead role aims to expand DX's presence in Asia-Pacific by serving as the bridge between the APAC market and global marketing, owning target accounts, aligning with AEs, and building region-specific plays. Responsibilities include managing accounts and field partnerships, shaping messaging and market intelligence, overseeing events and executive programs, running webinars and content, and pursuing growth experiments to drive regional pipeline. In the first six months, success means mapping top APAC accounts, establishing relationships with AEs and other teams, planning executive programs, adapting assets for the region, hosting regional webinars, and delivering measurable engagement while feeding insights back to PMM and demand gen.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. The company provides teamwork software such as Jira Software, Confluence, and Jira Service Management, used by many large organizations including Fortune 500 companies and NASA, to help teams collaborate and deliver results. The ANZ Mid-Market sales team focuses on managing mid-sized customer portfolios, identifying cloud-first opportunities, cross-selling, and achieving revenue targets, while advocating for customers by feeding feedback to product and engineering. This team collaborates with Channel Partners, Account Managers, Solution Engineers, and Deal Desk to ensure a seamless customer experience and successful deployments at scale. Key duties include developing account plans, prospecting and closing new business, building relationships with tailored solutions, maintaining forecasts and CRM hygiene, staying informed about market dynamics and competitors, and occasional travel across the ANZ region.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people globally where they have a legal entity, enabling employees to balance family, personal goals, and priorities. Atlassian’s agile, DevOps, IT service management, and work management software help teams unleash their potential, with customers including Fortune 500 firms and 300,000 companies worldwide (NASA, Audi, Kiva, Deutsche Bank, Dropbox) and products like Jira Software, Confluence, and Jira Service Management. The ANZ Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion opportunities, nurturing relationships, and achieving revenue targets. They advocate for customers by feeding feedback to product and engineering to improve the experience, collaborating closely with Channel Partners, Account Managers, Solution Engineers, and Deal Desk to deploy Atlassian at scale and live the Atlassian values. Responsibilities include developing and executing account/territory plans, prospecting and closing new business in ANZ, building trusted relationships with tailored solutions (demos, pricing, contracts), orchestrating internal teams for a seamless customer experience, maintaining forecasts/CRM hygiene, staying current on ANZ market dynamics, and traveling occasionally for meetings and events.

Atlassian offers flexible work locations and hires in any country with a legal entity, aiming to unleash the potential of every team with Jira Software, Confluence, and Jira Service Management used by Fortune 500s and many other companies. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user-expansion opportunities, nurturing relationships, and achieving revenue targets. You are expected to advocate for customers by providing feedback to product and engineering teams to improve the customer experience, while collaborating with Channel Partners, Account Managers, Solution Engineers, and Deal Desk. The role involves developing and executing account/territory plans to drive revenue growth across the ANZ mid-market, prospecting, qualifying, and closing new business while expanding existing accounts with tailored solutions including demos, pricing, and contracts. Responsibilities also include orchestrating internal teams to deliver a seamless customer experience, maintaining forecasts and CRM hygiene, staying current on ANZ market dynamics and competitors, and traveling occasionally across the region for meetings and events.

Atlassian offers flexible work options—office, home, or a combination—and hires in any country where it has a legal entity. It is seeking an Australia-based Account Executive to join the APAC Mid-Market team, reporting to the APAC Mid-Market Sales Manager, to manage GCR-based customers and scale their use of Agile/DevOps, Work Management, and IT Service Management solutions. The role involves building relationships with customers and partners, collaborating with internal teams to ensure satisfaction, and managing a portfolio of named customers while identifying cloud-first opportunities and pursuing cross-sell and user expansion to meet revenue targets. You will also advocate for customers by providing feedback to product and engineering teams to improve the customer experience. Although remote-first, the role requires being located in Australia and includes developing named account or territory plans, establishing strategic relationships, qualifying leads, delivering sales presentations, providing regular forecasts, staying current on industry trends and competitor activity in the South East Asia mid-market, and building collaboration with channel partners.