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Senior Engineering Manager

Senior Engineering Manager

Atlassian
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Job Description

Overview

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.

Part of the Jira Service Management (JSM) organisation within Atlassian Engineering. The ITSM Analytics group builds the reporting & analytics platform that turns JSM operational data (requests, incidents, SLAs, Assets and Ops/Opsgenie) into actionable insight for IT and service teams — a key competitive differentiator for JSM in the ITSM market.

The ITSM Analytics team owns JSM's reporting & analytics surface end-to-end: Custom Metrics (configurable and ratio metrics, OOTB PM-authored templates), JSM Insights (SLA-breach insight generation engine and GraphQL APIs), Operations Reports, Assets Reporting and the JSM Summary Page. It is a full-stack team spanning frontend dashboards and metric-authoring UIs, backend GraphQL APIs and data pipelines, and reporting data infrastructure. High ownership, shipping across EAP → Beta → GA while investing in performance, scale and data quality/observability.

Responsibilities

About the Role

Lead a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy. A broad surface spanning greenfield-to-scale (Custom Metrics, Insights, Ops & Assets reporting), and real technical depth across data platform, GraphQL APIs and modern React frontends. You will grow and shape a multi-pod team, set technical direction for a large data domain, and own outcomes GA'ing to enterprise customers.

Qualifications

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Minimum Qualifications

  • 10+ years in software engineering with 4+ years managing engineering teams.
  • Track record shipping and scaling data-intensive analytics, reporting or platform products.
  • Strong technical depth in: distributed backend/data pipelines and GraphQL/API platforms, comfortable operating across the full stack.
  • Experience with cloud data infrastructure (GCP/AWS), performance at scale, and data quality/observability.
  • Proven people leadership: hiring, growing, coaching and retaining senior engineers.

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

More Info

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Key Skills

distributed backend data pipelines

data-intensive analytics

data quality observability

GraphQL API

cloud data infrastructure

performance at scale

About Company

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