About the Role
Build and optimize reliable systems that support data pipelines and automation at scale, ensuring efficiency, uptime, and integration across services.
Responsibilities
- Develop and manage infrastructure supporting large-scale data workflows
- Design systems for reliable and efficient data processing
- Implement automation tools to streamline operational tasks
- Monitor system performance and troubleshoot issues
- Ensure infrastructure is secure, scalable, and resilient
- Collaborate with engineering teams to integrate data solutions
- Maintain documentation for systems and processes
- Optimize resource usage and reduce operational costs
- Support deployment and configuration of data platforms
- Respond to incidents and perform root cause analysis
- Enforce best practices in infrastructure as code
- Integrate monitoring and alerting into production systems
- Manage version control for infrastructure configurations
- Work with distributed systems and cloud-native technologies
- Ensure compliance with security and operational standards
Nice to Have
- Experience with big data technologies
- Background in database administration
- Exposure to machine learning infrastructure
- Contributions to open-source infrastructure projects
- Familiarity with data governance principles
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Collaborative engineering team focused on data systems and automation
Tech Stack
Uses modern cloud infrastructure, Kubernetes, Terraform, Prometheus, and distributed data processing tools
Growth Opportunities
Access to learning resources, conference participation, and internal knowledge sharing
Available for qualified candidates
