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# Sr Software Engineer, Storage

- **Company:** Cribl, Inc.
- **Location:** Denver, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Databases, Linux, Programming Tools, Distributed Data Store, Amazon DynamoDB, Load Testing, Online Analytical Processing, Node.Js, NoSQL, Software Engineering, TypeScript, Parquet, Build Management, Data Lakes, Cloudwatch, Terraform, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.juju.com/job/1_BB996248468C46EC8E3D7B705F3E0DA1-CO844768664380273

## About the Role

If you're the kind of engineer who builds autoscalers instead of manually resizing, writes controllers instead of runbooks, and thinks about cluster topology as a software problem - this is your role. **As An Active Member Of Our Team, You Will...** - Design and build autoscaling systems for storage clusters - automated provisioning, scale-up/scale-down policies, cluster rebalancing, and node lifecycle management. - Own the infrastructure-as-code stack (Terraform) that defines and deploys storage infrastructure end-to-end on AWS. - Build self-healing automation: health checks, automated failover, capacity rebalancing, and remediation controllers that resolve issues before they page anyone. - Develop the CI/CD pipelines and deployment tooling for storage services - safe rollouts, canary deployments, automated rollback. - Design and implement observability for the entire storage platform - metrics, dashboards, SLOs, alerting, and capacity forecasting that drive automated scaling
decisions. - Own cluster management tooling: provisioning new tenants, managing cluster topology, coordinating upgrades and migrations with zero downtime. - Drive performance and cost optimization across the storage data path: ingest pipelines, compaction, partitioning, and query execution. - Partner with product engineering to define scalability limits, load test new features, and harden the system for production readiness. - Contribute to incident response and lead blameless post-mortems, turning operational surprises into systemic automation. - This position will require stand-by, on-call, or off-hours duties. **If You've Got It - We Want It** - Significant experience building platform/infrastructure systems that manage, scale, and operate distributed services autonomously - not just using infrastructure, but building the layer that automates it. - Strong software engineering skills in TypeScript/Node.js, Go, or similar languages - you write controllers,
operators, and automation, not runbooks. - Deep hands-on experience with infrastructure-as-code (Terraform) and AWS services (EC2, ECS/EKS, AS s, DynamoDB, S3, CloudWatch). - Experience designing and implementing autoscaling systems, cluster orchestration, or automated provisioning for stateful workloads. - Track record operating data-intensive systems at scale - OLAP databases, NoSQL stores, or distributed storage platforms. - Strong platform engineering fundamentals: SLOs, error budgets, capacity planning, incident response, and a bias toward eliminating toil through software. - Comfortable working with high autonomy in a remote, distributed team and communicating effectively across engineering disciplines. - Strong understanding of Linux systems, networking, and performance profiling at the infrastructure level. - Preferred Qualifications - Experience with DynamoDB or similar NoSQL databases at high throughput - partition design, capacity management, GSI
optimization. - Background in cluster management for OLAP or analytical databases - automated provisioning, rolling upgrades, replication topology. - Experience with object storage and data lake architectures (S3, Parquet/ORC formats). - Knowledge of data pipeline optimization: batching strategies, write amplification reduction, partition pruning, compaction policies. - Background in capacity planning, cost optimization, and resource forecasting for storage-heavy workloads on AWS. - Experience building internal platforms or developer tooling that other engineers consume (deployment frameworks, service provisioning, self-service infrastructure). - Opinions about what makes a great on-call experience and a track record of making on-call better for everyone. #LI-JB1 #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.