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Principal Engineer, Search Platform
Atlassian
Bengaluru, IND
Senior
Discovered Yesterday
awselasticsearchflinkgcpkafka
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Responsibilities
- Lead Enterprise Trust & Compliance: Own technical strategy and delivery for enterprise requirements - multi-cloud (GCP/AWS), Isolated Cloud, FedRAMP, BYOK encryption, and data residency - making Search a platform enterprises can trust. Proactively simplifying architecture and removing
- Shape the Indexing Platform for AI-era Workloads: Evolve high-throughput, low-latency distributed indexing pipelines to meet the retrieval demands of agentic and AI use cases - freshness, context relevance, and scale across billions of events.
- Connect Across Teams and Systems: Work fluidly across ML, Data, Cloud Infrastructure, and product teams - aligning technical direction, unblocking dependencies, and building shared platform capabilities that multiply the impact of teams beyond your own. Help improve support for building and operating systems that deliver true Enterprise Trust through Atlassian-wide platforms, while actively simplifying the architecture and eliminating accumulated complexity.
- Drive System Efficiency at Scale: Improve ingestion throughput, data freshness, and reliability while optimizing for unit economics through smarter sharding, disaggregated storage, and compute efficiency.
- Capitalize on Agentic Development Advances: Stay ahead of the curve on retrieval architectures, vector/hybrid indexing, and agentic memory patterns - bringing external advances in to accelerate Atlassian's platform and product roadmap.
- 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
- Enterprise Platform Experience: Demonstrated experience delivering enterprise-grade requirements - tenant isolation, multi-cloud deployments, compliance frameworks (FedRAMP, BYOK, data residency), and zero-downtime migrations at scale.
- Distributed Systems Depth: Proven experience designing and operating large-scale distributed data pipelines, search/indexing systems, or streaming platforms (e.g., Kafka, Flink, OpenSearch/Elasticsearch, object-store-backed indexing, vector search).
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