About the Role
The role involves ensuring high availability and performance of data systems through automation, monitoring, and incident response, while collaborating with engineering teams to optimize infrastructure and operational practices.
Responsibilities
- Design and maintain scalable data infrastructure
- Implement automated deployment and recovery processes
- Monitor system health and respond to incidents
- Optimize performance and reliability of data pipelines
- Collaborate with software teams on system design
- Develop tools for operational efficiency
- Troubleshoot complex production issues
- Enforce security and compliance standards
- Manage configurations across environments
- Lead root cause analysis for outages
- Improve observability with logging and metrics
- Support disaster recovery planning
- Drive adoption of best practices in reliability
- Participate in on-call rotations
- Contribute to capacity planning
- Evaluate new technologies for operational fit
- Ensure system behavior under load is predictable
- Maintain documentation for systems and procedures
- Work with cloud platform services
- Reduce technical debt in infrastructure code
- Promote proactive incident prevention
- Integrate feedback from post-mortems
- Support CI/CD pipeline stability
- Enhance monitoring alerting precision
- Foster collaboration between teams
Nice to Have
- Experience with Kubernetes in production
- Background in data engineering or analytics platforms
- Knowledge of Apache Kafka or similar messaging systems
- Familiarity with Terraform or similar IaC tools
- Experience with observability stacks like Prometheus and Grafana
- Contributions to open-source projects
- Advanced degree in a technical field
- Certifications in cloud or systems engineering
- Prior work in high-growth tech environments
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid remote with regional office options
Team
Part of the Datacraft engineering unit focused on data infrastructure and reliability
About the Datacraft Team
Datacraft is responsible for building and maintaining the core data infrastructure that powers analytics and personalization. The team emphasizes automation, resilience, and developer enablement to support scalable data operations.
What We Value
We prioritize clear communication, ownership of systems, and a proactive approach to problem solving. Collaboration, transparency, and continuous learning are central to how we operate.
Available for qualified candidates
