
Technical Leadership Expert
1 day ago
About the Role:
We are seeking an accomplished Technical Leadership Expert to spearhead the efforts of a high-performing team of engineers responsible for developing and operating enterprise-grade platforms leveraging Java, Python, and cloud-native technologies.
The ideal candidate will possess deep technical expertise, hands-on skills, a proven track record in building and managing high-throughput, low-latency systems, and the ability to drive the team towards engineering excellence and high-quality delivery.
This role requires strong technical leadership with experience in managing multiple production deployment cycles, a deep understanding of operating critical production systems, and a focus on ensuring scalability, reliability, and operational resilience across the platform.
The successful candidate will lead and mentor a team of highly skilled developers building services/platform in Java, Python, and related technology stacks.
Key Responsibilities:
- Manage multiple production deployment cycles and ensure scalability, reliability, and operational resilience across the platform.
- Lead and mentor a team of highly skilled developers building services/platform in Java, Python, and related technology stacks.
- Demonstrate expertise in building and operating scalable, low-latency, high-throughput production systems.
- Develop and maintain a deep understanding of cloud-native architecture, Kubernetes, and distributed systems.
- Collaborate with Product, DevOps, and Platform teams to deliver secure, scalable, and maintainable solutions.
Requirements:
- 10+ years of full-stack engineering experience, including at least 2 years in a technical leadership role.
- Proven expertise in Technical Architecture, with a deep understanding of design patterns, microservices, and system design principles.
- Strong hands-on experience with cloud-native architecture, Kubernetes, and distributed systems.
- Able to diagnose and resolve complex technical issues efficiently in production environments.
- Excellent mentoring, communication, and collaboration skills.
- Familiarity with Agile methodologies, including sprint planning, backlog management, and iterative delivery.
Skills:
- Languages: Java, Python
- Databases: PostgreSQL (RDP), MongoDB
- Streaming: Kafka (KRaft)
- Caching: Redis
- Infrastructure: Kubernetes, Any Cloud Technology (AWS/GCP/Azure)
- Observability: Prometheus, Grafana, ELK or Similar tools
Bonus Skills:
- API Gateway: Kong with Lua plugin scripting
- IAM: Keycloak or any IAM, OAuth2/OIDC
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