Description

Core Backend Architecture (Primary Skills)

• Architect and design scalable, secure, and highly available distributed systems
• Strong experience with microservices and event‑driven architectures
• Define backend service architecture strategies, including:
  • API design (REST / gRPC)
  • Data contracts and versioning
  • Runtime and deployment standards
• Deep understanding of system design fundamentals:
  • Consistency models
  • Caching strategies
  • Resilience patterns
  • Fault tolerance and recovery
• Hands‑on backend development experience in .NET / .NET Core (must‑have)
• Working experience with at least one additional ecosystem (nice to have):
  • Node.js / TypeScript
  • Java / Kotlin
  • Python
  • Go
• Strong operational focus:
  • Observability (logs, metrics, traces)
  • Performance tuning
  • Incident response and reliability engineering (SRE mindset)
• Collaborate closely with Product, Security, SRE, and Data teams to translate business needs into robust backend solutions

AI‑Driven & Intelligent Platform Architecture

• Experience integrating LLMs and Generative AI services into enterprise platforms
• Strong understanding of:
  • Prompt engineering
  • AI evaluation techniques
  • AI quality and performance metrics
• Architect LLM inference systems, including:
  • Request routing
  • Batching
  • Caching
  • Cost optimization strategies
• Design and implement intelligent service patterns, including:
  • Retrieval Augmented Generation (RAG)
  • Agent‑based architectures
• Familiarity with:
  • AI safety principles
  • Responsible AI
  • Governance and compliance models
• Build AI‑powered backend/platform components, such as:
  • Intelligent API gateways
  • Policy engines
  • AI‑assisted observability or diagnostics
• Knowledge of AI‑driven analytics and telemetry to monitor:
  • Model performance
  • Service reliability
  • Cost and latency trends

Cloud, Platform & Integration Engineering

• Strong experience with cloud platforms:
  • AWS (Preferred)
  • Azure or GCP (acceptable)
• Solid understanding of:
  • API gateways
  • Service mesh concepts
  • Networking fundamentals
• Data & streaming technologies:
  • SQL and NoSQL databases
  • Kafka or similar event streaming platforms
  • Redis or distributed caching solutions
• Strong DevOps and Platform Engineering experience:
  • CI/CD pipelines
  • Infrastructure as Code (Terraform, ARM, CDK, etc.)
  • Automated testing
  • Progressive delivery (blue/green, canary releases)
• Security fundamentals:
  • Threat modeling
  • Identity & access management
  • Encryption
  • Secure‑by‑default design

Key Skills

Education

Bachelor's degree