At Midas, we are solving real-world engineering problems to transform how millions of people interact with money.
We're transforming investing in Turkey — creating a seamless experience for everyday investors on one end, and building powerful tools for advanced traders on the other.
Today, over 4 million users trust Midas with their investments. Backed by an $80M Series B — the largest fintech investment in Turkey — we are scaling faster than ever.
More importantly, we are building mission-critical financial systems where reliability, performance, and correctness are non-negotiable.
What You’ll Do
Design and develop high-volume, low-latency systems running 24/7 with zero downtime, impacting real users and real money
Own the full lifecycle-from design to production-while ensuring clear and effective communication across teams
Take ownership of large, complex systems, ensuring resiliency and reliability from prevention to rapid recovery
Collaborate closely with product and business teams as a product-minded engineer
Actively contribute to a culture of clear, frequent, and effective communication across teams
Write clean, testable, and maintainable code with a strong focus on production quality
Make and contribute to pragmatic architectural decisions, balancing real-world trade-offs
Continuously improve systems with a focus on observability, maintainability, and operational excellence
Support and mentor other engineers through technical guidance, feedback, and knowledge sharing
Leverage modern tools, including AI-assisted development, to improve productivity while maintaining high quality standards
What You’ll Bring
Strong software development experience with a solid engineering foundation
Experience designing and building scalable and reliable systems
Good understanding of distributed systems, concurrency, and data consistency challenges
Experience working with transactional systems and critical data flows
Familiarity with event-driven and asynchronous architectures
Understanding of monitoring, alerting, and production systems
Ability to think in trade-offs, not just ideal solutions
Comfort operating in high-ambiguity environments and turning unclear problems into concrete solutions
A mindset of ownership, accountability, and delivering outcomes
Strong communication skills, able to articulate decisions, align stakeholders, and drive clarity
Willingness to mentor and elevate the team, not just contribute individually
Ability to effectively use AI tools as a productivity multiplier, while maintaining engineering rigor
