About this role
At Midas, we are working on real-life engineering challenges to transform the world of finance.
We’ve transformed investing in Turkey by delivering a seamless experience for everyday investors.
Today, 4 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.
What You'll Do:
- Design, architect, and operate scalable, robust systems across critical data infrastructure to support high-throughput operations.
- Own the day-to-day administration, tuning, and continuous improvement of our datastores — including backups, recovery, replication, capacity planning, and performance optimization.
- Work with product and cross-functional teams to deliver maximum customer value and communicate effectively with both technical and non-technical stakeholders.
- Own end-to-end delivery, including performance monitoring, observability, and proactive incident management in production environments.
- Provide technical guidance and foster best practices within the Datastore, Messaging, and Reliability domain through knowledge sharing and peer reviews.
- Lead the operational excellence, scaling, and continuous improvement of PostgreSQL, Redis, Kafka, and Elasticsearch systems, ensuring high availability, performance, and strong reliability practices.
What You'll Bring:
- Experience solving large-scale problems for millions of users through scalable and reliable systems.
- Extensive hands-on experience in database administration, with deep expertise in PostgreSQL, Redis, Kafka, and Elasticsearch.
- Strong background in production reliability, including high availability, disaster recovery, replication, and performance tuning at scale.
- Experience working within large and complex technical ecosystems, with strong database management and data streaming expertise.
- Ability to navigate technical and organizational dependencies, balancing trade-offs with partner teams and aligning technical strategy with business priorities.
- Solid understanding of monitoring, observability, and incident management practices in production environments.
- Nice to have: Hands-on experience with Kubernetes, particularly using StatefulSets for stateful workloads.
- Nice to have: Working knowledge of SQL Server, TimescaleDB, and Altibase.
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