Senior Software Engineering Manager
- Türkiye
- Kontrat
- Tam zamanlı
- Team Leadership
- Lead and mentor a team of software engineers, encouraging an inclusive engineering culture
- You’ll manage hiring, performance management, and career development for your team
- Platform Ownership
- Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency
- You will create platform evolution, including modernization, observability, and CI/CD best practices
- Champion Service level agreements, and incident response for platform services
- Technical Strategy
- Collaborate with Architects and Principal Engineers to define the long-term vision and roadmap for the API platform
- Ensure the team follows software engineering best practices including testing, code reviews, and documentation
- Guide the use of latest technologies that support real-time processing, event streaming, and performance optimization
- Collaboration
- Work with Product Management, DevOps, and other engineering teams to align technical plans with our goals
- Partner with security, compliance, and infrastructure teams to ensure platform meets regulatory and operational standards
- Delivery & Execution
- Manage the delivery lifecycle of major platform plans
- Track important performance metrics (availability, latency, throughput) and ensure continuous improvement
- Manage the delivery of insightful dashboards and data visualizations
- Identify risks early and implement mitigation strategies
- Bachelor’s degree in Computer Science, Engineering, or related field
- 8+ years of software engineering experience with at least 3+ years in engineering leadership roles
- Proven experience managing real-time, high-throughput API platforms in production environments
- Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
- Experience with API gateways, load balancing, caching, and observability tools (Kibana, Grafana, Datadog, and Prometheus)
- Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
- Experience developing ML Ops capabilities
- Data Science & ML experience
- DevOps Knowledge: Docker and Kubernetes
- Great compensation package and bonus plan
- Core benefits including full medical, dental, vision, and matching 401K
- Flexible schedule, ability to work remotely, hybrid, or in-office
- Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
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