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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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