Jobs at Atlassian

Provide strategic technical consulting to enterprise customers using Atlassian products and practices. Diagnose organizational and delivery challenges, map operating practices to product capabilities, design and implement enterprise strategy and planning solutions, create prescriptive guidance, support adoption, identify expansion opportunities, and advocate for customer needs. Travel up to 30% domestically and internationally.

The Solution Sales Executive role is responsible for selling Atlassian solutions, likely focused on Jira Service Management and Jira Align. The provided description contains no detailed responsibilities or qualification requirements. The position is remote and based in Sydney, Australia, with potential eligibility for benefits, bonuses, commissions, and equity.

Design, build, deploy, and operate evaluation and optimization systems for Rovo AI agents. Develop offline benchmarks, online quality metrics, model-based judges, and production monitoring. Use evaluation results to improve prompts, retrieval, tool use, routing, quality, cost, and latency. Lead projects from problem definition through delivery, contribute to technical reviews, coach engineers, and communicate ML trade-offs to stakeholders.

Lead the technical direction for AI agent quality at Atlassian Studio. Design evaluation architecture, benchmarks, datasets, observability, experimentation, regression gates, and drift detection for production agents. Improve tool use, routing, task success, and model quality while balancing cost, latency, reliability, privacy, and access control. Partner across product, data science, AI teams, and model providers, mentor engineers, and deliver measurable improvements to agentic systems.

Design, build, and maintain frontend products, platform services, infrastructure, microservices, libraries, tools, and applications powering Atlassian Cloud. Develop scalable, low-latency systems using modern web architectures and distributed systems principles. Implement, integrate, tune, test, and troubleshoot software while collaborating with designers and engineers in an agile environment to improve user experiences.

Develop backend software for Atlassian products, independently driving projects from technical design through launch. Responsibilities include applying architectural standards, coding primarily in Java, reviewing code, fixing complex bugs, writing documentation, and mentoring junior engineers. Candidates need experience with a prominent programming language, strong data structures knowledge, collaboration skills, and a willingness to learn.

Lead regional security incident response for high-severity enterprise incidents, directing investigations, communications, coordination, and remediation. Build incident response tools, systems, playbooks, and programs; conduct exercises and post-incident reviews; mentor team members; collaborate across security teams; engage law enforcement and industry bodies; and produce threat intelligence. The role requires expertise across multiple security domains, cloud and network technologies, scripting, and incident response leadership.

Implements, operates, and improves enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Builds automation using scripts, APIs, infrastructure-as-code, and CI/CD security checks. Supports IAM, endpoint protection, DLP, vendor risk assessments, physical access integrations, incident troubleshooting, and security operations. Partners with engineering, IT, legal, privacy, and business teams to deploy secure baselines, remediate risks, monitor control health, and improve enterprise security capabilities.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Design responsibilities and qualifications are not provided. The role is a Lead Product Designer focused on Jira at Atlassian, with flexible work-location options and potential eligibility for benefits, bonuses, commissions, and equity.

Provides technical leadership for Atlassian’s Growth Monetization organization. Owns long-term architecture and technical evolution of distributed services, customer experiences, and experimentation platforms. Defines cross-team roadmaps, leads architectural initiatives and experimentation strategies, and ensures operational excellence across performance, reliability, observability, data safety, and security. The role includes hands-on incident and problem-solving leadership, technical reviews, mentoring senior and principal engineers, and driving product and engineering strategy across multiple teams.

Manage retention and growth for complex enterprise customers across the Greater China Region. Own the customer lifecycle, account strategy, forecasting, renewals, expansions, upsells, and cross-sells. Partner with sales, services, channel, and customer success teams to execute strategic plans, navigate enterprise procurement and security workflows, and maintain customer health. The role requires fluent English and Mandarin, enterprise SaaS sales experience, strong CRM and forecasting skills, and familiarity with GCR business dynamics.

Develop and launch large, complex software projects, making architectural decisions and addressing high-risk technical challenges. Lead code reviews, documentation, bug fixes, and company-wide engineering initiatives. Collaborate across teams, mentor junior engineers, and apply expertise in one or more programming languages while developing Java proficiency. The role emphasizes autonomy, customer impact, continuous learning, and technical leadership.

Lead complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

Lead enterprise post-sales engagements for Atlassian’s Strategy Collection, including Jira Align, Focus, Talent, and Rovo. Conduct executive discovery, design solution adoption architectures, plan phased rollouts, establish governance, define value measures, and guide customers toward sustained operating-model adoption. Partner with cross-functional teams, create reusable playbooks, provide thought leadership, and translate customer feedback into product improvements. The role involves up to 15% domestic and international travel.

The job description does not include role-specific responsibilities or qualifications. Based on the title, the position appears to involve technical architecture and systems design, but no further details are provided.

Leads Atlassian’s global detection and response organization, overseeing security strategy, detection engineering, 24x7 incident response, threat intelligence, hunting, security operations, and automation. Builds cloud-native detection capabilities, improves telemetry and security data platforms, responsibly applies ML and LLMs, and establishes governance, metrics, compliance readiness, executive communications, and customer trust across global teams.

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

Design, build, deploy, and operate agentic LLM harnesses powering Rovo AI features. Improve production model quality, reliability, and cost; develop evaluations, datasets, benchmarks, fine-tuning, and model-serving capabilities. Shape long-term LLM engineering direction, lead technical initiatives, influence stakeholders, guide virtual squads, and coach junior engineers.