
Leading Large-Scale Distributed Systems
3 days ago
Our team seeks a seasoned software engineering leader to drive the development of large-scale distributed systems.
The ideal candidate will have extensive experience in designing, building, and deploying scalable, highly available, and fault-tolerant services.
This role requires strong leadership skills to guide technical architecture and design, advocating for technology investments and ensuring high-quality, secure, and observable solutions.
- Participate in design reviews, provide regular feedback, and drive continuous improvement by enhancing architectural standards and best practices.
- Build proof-of-concepts to validate approaches and assess emerging technologies.
- Collaborate with cross-functional teams to identify and prioritize engineering initiatives.
- Develop and maintain technical documentation, including design documents and architecture diagrams.
- Identify areas for process improvements and implement changes to increase efficiency and productivity.
Requirements:
- 15+ years of technical engineering leadership experience, with 5 to 10+ years of experience in large-scale distributed system development.
- Experience driving engineering best practices for high-functioning software engineering teams through effective use of tools and automation.
- Passion and expertise for building large-scale, back-end services and APIs, using modern architectures (Macro / Mini / Micro Services).
- Demonstrable knowledge of data structures, asynchronous architectures, and distributed algorithms.
- A strong understanding of software engineering principles and modern infrastructure operations.
Desired Skills:
- Hands-on experience with cloud platforms (AWS preferred): EC2, S3, Lambda, EFS, ECS, EKS, API Gateway, SQS, IAM, VPC.
- Proficiency in one or more modern UI frameworks: React.js, Angular.
- Experience with CI/CD tools: Azure DevOps, GitHub Actions, ArgoCD, YAML, PowerShell.
- Hands-on experience with GenAI technologies, including LLM fine-tuning, RAG architecture implementation, and prompt engineering.
- Relational and NoSQL databases.
- Experience with Docker, Kubernetes.
- Familiarity with observability tools: Splunk, ELK Stack, DataDog.
- Strong understanding of testing strategies: Unit Testing, Behavior-Driven Development (BDD), Test-Driven Development (TDD).
What We Offer:
Opportunity to work with a dynamic team on cutting-edge projects.
Professional growth and development opportunities.
Competitive compensation package.
Excellent benefits and perks.
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