Atlassian
Website:
atlassian.com
Company:
https://www.linkedin.com/company/atlassian
Seniority: Mid-Senior level
Industries: Software Development
Job details:
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.
Responsibilities
As a Principal Engineer in Search Platform, you will be a key technical leader for the Search Data pillar. You will help build and evolve a cutting-edge platform for integrating, processing, indexing and searching massive volumes of unstructured data across 100+ sources. You will bring deep expertise in large-scale data platforms, streaming and batch processing, and distributed systems to solve complex problems across infrastructure, data reliability, and developer productivity. Data is messy and hard — and it's the most critical, make-or-break input for Search and AI.
You will be expected to lead other engineers, drive technical direction within your scope, and own outcomes from design to launch. Your role is central to identifying and executing step-change improvements that deliver a world-class end-to-end search experience, powered by rich data that is fresh and reliable across all apps.
Responsibilities:
- Collaborate with technical leads, partner teams, and internal customers to define technical strategy and architecture for key areas within Search Data.
- Lead the evolution of data pipelines and platform components to meet the demands of both real-time search freshness and AI/agentic retrieval at enterprise scale.
- Make sound architectural trade-offs between freshness, correctness, cost, and operational simplicity — and own the outcomes within your scope.
- Drive the simplification and modernization of complex, legacy data processing systems. Identify and eliminate unnecessary complexity. Design systems that are understandable, testable, and operable.
- Apply and promote design patterns and best practices for handling the inherent messiness of real-world data — schema evolution, partial failures, eventual consistency, connector variability, and data quality degradation.
- Own engineering and operational excellence for the health of systems and processes within your scope. Proactively identify opportunities for continuous improvement and track key operational metrics.
- Improve developer productivity by championing agents, automation, and tooling that unlock team potential. Foster a culture of high ownership, rigorous testing, safe rollouts, and data-driven engineering.
- Mentor engineers and contribute to building an open, innovative, and operationally responsible team culture.
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.
Requirements:
- Deep experience with distributed data frameworks (Kafka, Flink, Spark) - you have built, operated, and debugged systems processing billions of events per day. Ideally for Search and AI use cases where innovation relies on iterating over data. You understand their failure modes, not just their happy paths.
- Strong background in designing data architectures that handle messy, heterogeneous data at scale - including schema evolution, data quality, idempotency, backfill/replay, and partial failure recovery.
- Track record of simplifying complex systems. You have taken spaghetti systems and turned them into something engineers can reason about, test, and operate confidently.
- Demonstrated technical leadership and ownership of ambiguous technical objectives tied to business outcomes.
- Strong software engineering fundamentals. Fluency in at least one modern language (Java preferred). You write code, review code, and hold a high bar for engineering quality.
- Excellent communication skills. You can explain complex data architecture to engineers, product managers, and leadership with equal clarity.
- 8+ years of experience imagining, building and operating systems.
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.
Click on Apply to know more.