Top Engineering Jobs

Build and improve backend services, REST APIs, monitoring, CI/CD pipelines, content-management integrations, and reliable customer-facing features. The role requires collaborative software development experience with prominent programming languages, REST integrations, Git, and server technologies such as Docker, NGINX, and Node.js. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.

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.

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.

Design, build, and operate Atlassian’s foundational data platform, including Flink streaming ingestion and MPP query systems such as StarRocks. The role owns architecture, production reliability, performance, cost, data quality, observability, code reviews, complex problem resolution, cross-team initiatives, and mentoring. Candidates need strong distributed-systems and data-engineering expertise, coding skills in Java, Scala, or Python, cloud infrastructure experience, and operational experience with high-scale platforms.

Leads application and software engineering teams supporting Oracle Fusion Cloud and core Finance SaaS applications. Oversees finance transformations, integrations, automation, architecture, reliability, quarterly Fusion upgrades, and company-wide initiatives. Partners with Finance and Engineering stakeholders, drives metrics and OKRs, maintains SOX compliance, leads code reviews and complex problem resolution, and advances AI/ML and continuous improvement across critical financial systems.

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.

Principal Software Engineer role at Atlassian with flexible work-location options. The provided description contains no specific responsibilities or qualification requirements. Compensation includes a U.S. base salary range varying by geographic pay zone, plus potential benefits, bonuses, commissions, and equity.

Own customer-facing features end to end across React/TypeScript front ends, backend services, and APIs. Make product-driven architecture decisions, use telemetry to improve outcomes, and build AI-enabled and agentic experiences with LLMs. Set technical direction, influence product strategy, mentor engineers, and drive ambiguous prototypes into reliable, scalable production systems.

Own customer-facing product features across the full stack, from ambiguous problems through measurable outcomes. Make architecture and product decisions, use telemetry to guide design, and build AI-enabled and agentic experiences integrating LLMs. Set technical direction, influence product strategy, mentor engineers, and drive prototypes into reliable, performant production systems at scale.