Jobs at Atlassian

Manage a ~40-account mid-market portfolio to drive net-new growth and expansion. Own full sales cycle, develop account/territory plans, lead cross-functional deal teams, build C‑suite relationships, qualify and close complex multithreaded deals using outcome-based selling, forecast pipeline, and collaborate with channel, product, and customer success. Occasional travel for customer meetings and team events.

Build and improve Confluence AI experiences across frontend, backend, and AI integrations. Own features from design through launch, apply generative AI, retrieval, agents, and evaluation techniques, create automated quality testing, monitor production performance, run adoption experiments, and collaborate cross-functionally. Mentor engineers and contribute to architecture, observability, testing, safeguards, and scalable software delivery.

Provides strategic and technical guidance to enterprise customers using Atlassian products and solutions. Partners with stakeholders to address business challenges, improve enterprise agility, map operating practices to product capabilities, and implement strategy and planning tools. Creates prescriptive solution content, supports adoption and enablement, advocates for customer needs internally, and identifies expansion opportunities. The role requires significant SaaS and customer-facing experience, expertise in enterprise strategy and Agile tools, AI integration familiarity, and up to 30% travel.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Leads the technical direction and implementation of large-scale product features. Builds secure, reliable, maintainable, and well-tested full-stack software; evaluates technical trade-offs; collaborates with product and design teams; resolves production issues; contributes to reviews and documentation; and mentors junior engineers.

Design, build, and maintain customer-facing React frontend systems for search, catalog navigation, data lineage, dashboards, and AI-assisted analysis. Improve performance across large trees, tables, and streaming interfaces; shape product and UX decisions with design and product partners; raise engineering quality through reviews, documentation, complex bug resolution, and mentorship.

Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.

Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, and content-management integrations. Collaborate with engineering, UX, and visual design teams while developing full-stack solutions using JavaScript or TypeScript, React, Node.js, server technologies, and cloud platforms. The role is fully remote but limited to candidates located in Canada within the PST or MT time zones.

Lead complex backend engineering projects from design through launch, solve architecture and high-risk technical problems, conduct code reviews, develop scalable microservices and distributed systems, mentor engineers, and collaborate across teams. The role requires strong experience with backend applications, prominent programming languages, public cloud platforms, databases, software architecture, agile development, and performance trade-offs. Candidates must be located in Canada within the PST or MT time zones.

Build and ship scalable backend features and services in a distributed environment. Responsibilities include developing RESTful microservices, reviewing code, monitoring service performance, improving reliability and security, participating in Agile development, and mentoring teammates. The role requires proficiency in a modern object-oriented language, database experience, cloud knowledge, and familiarity with scalable architecture patterns.

Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Participate in a 15-week full-time software engineering internship in Vancouver, Burnaby, or Richmond. Build and ship product features, contribute code to Atlassian products, apply data structures and algorithms, and learn full-lifecycle development through mentorship and collaboration with senior engineers. Work may involve cloud initiatives and AI-driven features.