Atlassian

1 week ago

Senior Principal Engineer, Search Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own the technical roadmap and execution for the Search Data pillar, building and evolving a globally scalable search platform that integrates, processes, indexes, and searches massive volumes of unstructured enterprise data. Lead distributed data and pipeline evolution for real-time freshness and agentic retrieval, make complex architecture trade-offs, and drive simplification/modernization, operational excellence, and continuous improvements across Search Platform teams.

Location: Bengaluru, India

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Own the technical roadmap, execution, and outcomes for the Search Data pillar, including integrating, processing, indexing, and searching massive volumes of unstructured data.
•Lead the evolution of data platform and pipelines to support real-time search freshness and AI/agentic retrieval at enterprise scale.
•Make architectural trade-offs across freshness, correctness, cost, and operational simplicity, and own the resulting outcomes.
•Drive simplification and modernization of legacy data processing systems, designing solutions that are understandable, testable, and operable.
•Lead engineering and operational excellence for system health by setting patterns and best practices for handling real-world data messiness and improving operational metrics.

Key Requirements

•Deep experience with distributed data frameworks (Kafka, Flink, Spark) processing billions of events per day, including understanding failure modes for Search and AI use cases.
•Design data architectures at scale for messy, heterogeneous data, including schema evolution, data quality, idempotency, backfill/replay, and partial failure recovery.
•Proven track record simplifying complex systems into designs engineers can reason about, test, and operate confidently.
•Demonstrated department-level technical leadership with influence across multiple teams and ownership of top-level technical objectives tied to business outcomes.
•Fluency in at least one modern language (Java preferred) with strong software engineering fundamentals, including writing and reviewing code to a high quality bar.
•Excellent communication skills explaining complex data architecture to engineers, product managers, and leadership.

Experience:SearchAIStreamingDistributed systems

Skills:CommunicationTechnical leadershipStakeholder managementEngineering qualityProblem solving

Tech Stack:KafkaFlinkSparkJava

Company Brief

Atlassian

Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor

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Atlassian

1 week ago

Senior Principal Engineer, Search Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Bengaluru, India

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Own the technical roadmap, execution, and outcomes for the Search Data pillar, including integrating, processing, indexing, and searching massive volumes of unstructured data.
•Lead the evolution of data platform and pipelines to support real-time search freshness and AI/agentic retrieval at enterprise scale.
•Make architectural trade-offs across freshness, correctness, cost, and operational simplicity, and own the resulting outcomes.
•Drive simplification and modernization of legacy data processing systems, designing solutions that are understandable, testable, and operable.
•Lead engineering and operational excellence for system health by setting patterns and best practices for handling real-world data messiness and improving operational metrics.

Key Requirements

•Deep experience with distributed data frameworks (Kafka, Flink, Spark) processing billions of events per day, including understanding failure modes for Search and AI use cases.
•Design data architectures at scale for messy, heterogeneous data, including schema evolution, data quality, idempotency, backfill/replay, and partial failure recovery.
•Proven track record simplifying complex systems into designs engineers can reason about, test, and operate confidently.
•Demonstrated department-level technical leadership with influence across multiple teams and ownership of top-level technical objectives tied to business outcomes.
•Fluency in at least one modern language (Java preferred) with strong software engineering fundamentals, including writing and reviewing code to a high quality bar.
•Excellent communication skills explaining complex data architecture to engineers, product managers, and leadership.

Experience:SearchAIStreamingDistributed systems

Skills:CommunicationTechnical leadershipStakeholder managementEngineering qualityProblem solving

Tech Stack:KafkaFlinkSparkJava

Company Brief

Atlassian

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor