The Role
We're looking for a software engineer who tackles big, unsolved problems head-on, researching, experimenting, and iterating until they crack it. You'll take ownership of the systems that power how we ingest, store, and serve data at scale and play a key role in shaping the reliability and performance of our backend infrastructure.
Our data pipeline is the backbone of everything we build. We're pushing the boundaries of ingestion throughput, query performance, and storage efficiency, and we need someone who can help us get there faster, smarter, and more reliably.
What You'll Do
- Drive improvements to our OpenSearch and Thanos infrastructure.
- Design, build, and maintain backend services for high-performance data ingestion and storage
- Operate and scale services across AWS (EC2, EKS, ECR)
- Participate in an on-call rotation and take ownership of system reliability
- Collaborate cross-functionally with engineering teams across the organization- strong English communication skills are essential
What We're Looking For
- 5+ years of backend or software engineering experience
- Strong proficiency in Kotlin
- Solid understanding of microservices architecture, Kubernetes, and telemetry tooling
- Hands-on experience with AWS in a production environment
- Embraces AI-driven development—you treat AI as a core part of your engineering workflow, not just a productivity shortcut
- Comfortable diving into documentation, research papers, and new tools independently
- A builder's mindset: you've shipped real systems, owned them end-to-end, and aren't afraid to iterate fast
Bonus Points
- Prior experience working with Opensearch / Elasticsearch / Lucene
- Familiarity with Thanos or Prometheus
- Proficiency in Go
- Experience with data streaming tools such as Kafka or Pulsar
- Startup background with a track record of taking systems from zero to production
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The Company
What We Do
Logz.io helps cloud-native businesses monitor and secure their environment with comprehensive open source tools. Our platform turns observability from a high-cost, low-value burden to a high-value, cost-efficient enabler of better business outcomes by combining and extending familiar, powerful and relevant Open Source capabilities across Logs, Metrics and Traces - complemented by security monitoring in the form of cloud-based SIEM.
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