PulsePoint
Site Reliability Engineer, Big Data (Remote, International)
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Build streaming and storage systems at PulsePoint
PulsePoint processes billions of events daily through Kafka, Hadoop HDFS and Ceph. Our Data Platform team maintains these systems across hybrid infrastructure: bare-metal on-prem, cloud, and the integration between them. You own the lifecycle from architecture through deployment to capacity planning and incident response.
What you'll work on
- Kafka architecture, topic design, governance, partition strategy, throughput and latency optimization.
- Ceph operations, pool design, placement optimization, capacity planning.
- Operational automation, reduce manual work, faster incident response, preventive systems.
- SQL Server backup and recovery pipelines, basic cluster support.
- Data team tooling with self-service capabilities and observability.
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Technology
- Apache Kafka for messaging layer
- Hadoop and Ceph as distributed storage layer
- SQL Server backup and recovery
- Terraform, Ansible, Puppet, ArgoCD for operational automation
- Prometheus, Grafana, Icinga and PagerDuty as observability layer
- Bare-metal servers and hybrid cloud/on-prem infrastructure
What matters
Understand distributed systems, failure recovery, and operational patterns at scale. Apache Kafka and Ceph expertise is most valuable.
Who we're looking for
- You've operated data infrastructure at petabyte scale or billions of events/day.
- You understand replication failures, consistency tradeoffs, and cost-optimization of large systems.
- You automate before troubleshooting.
- You take ownership across system layers, not just one component.
- You simplify complex systems.
Requirements
- 5+ years operating distributed systems at scale in production
- Deep expertise in Kafka, Ceph, or similar distributed infrastructure
- Proven ability to design for scale and reliability
- Experience mentoring engineers and making technical decisions
- Willingness to work 9am-6pm ET U.S. hours
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Nice-to-haves
- Multi-region replication and disaster recovery
- Cost optimization at infrastructure scale
- Hybrid on-prem/cloud operations
Why this role
This is not a ticket-driven operational role.
- You'll help define platform architecture, influence engineering standards and work on infrastructure that supports multiple engineering organizations.
- The engineer joining this role is expected to become a key technical contributor shaping the future of the platform.
- You can work fully remotely and get the opportunity to work on large-scale infrastructure and distributed systems challenges.
Hiring process
We try to keep the process focused and practical.
- Introductory conversation (~60m) Learn about your background and discuss the role.
- Technical discussion (~60m) Deep dive into systems engineering, Kubernetes and operational experience.
- Architecture discussion (~60m) Explore platform design, distributed systems and technical decision-making.
- Leadership conversation (~30m) Meet engineering leadership and discuss team, strategy and long-term direction.
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