
Chief System Architect
5 days ago
A technical leader who drives the development of complex systems and services is needed. This role requires strong technical expertise, leadership skills, and experience in large-scale distributed system development.
- Contribute to codebase design, development, testing, and deployment of scalable, highly available, and fault-tolerant services
- Collaborate with product management to envision future features and plan product roadmaps
- Define solution architectures that align with business needs
- Facilitate collaborative design discussions and drive design reviews
- Implement solutions that are high-quality, secure, and observable
- Determine continuous improvement opportunities and implement changes to enhance architectural standards and best practices
- 15+ years of technical engineering leadership experience
- 5-10+ years of experience in large-scale distributed system development
- Experience driving engineering best practices for high-functioning software engineering teams
- Passion and expertise for building large-scale, back-end services and APIs
- Demonstrable knowledge of data structures, asynchronous architectures, and distributed algorithms
- Strong understanding of software engineering principles and modern infrastructure operations
- Ability to build robust, high-scale, generic, and reusable solutions
- Experience mentoring and training an engineering community on development best practices
- Familiarity with deployment and observability strategies that support continuous delivery and high availability in a cloud-native environment
- An outcome-oriented approach using metrics and data to understand development productivity metrics
- Effective communication skills, both verbal and written
- Micorosoft technologies: C#, TypeScript & NestJS, Node.js
- Microservices, event-driven architecture using Apache Kafka or any other event processing service
- Modern UI frameworks: React.js, Angular
- Cloud platforms (AWS preferred): EC2, S3, Lambda, EFS, ECS, EKS, API Gateway, SQS, IAM, VPC
- CI/CD tools: Azure DevOps, GitHub Actions, ArgoCD, YAML, PowerShell
- GenAI technologies including LLM fine-tuning, RAG architecture implementation, and prompt engineering
- Relational and NoSQL databases
- Docker, Kubernetes
- Observability tools: Splunk, ELK Stack, DataDog
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