Senior Backend Engineer (NET / AI Systems) at Pavago

Responsibilities

Backend Architecture & Engineering

• Design, build, and maintain a .NET 8.0 / C# backend using Clean Architecture and DDD principles
• Own the architecture and codebase across 14+ independently deployed microservices
• Deliver new features, refactor existing systems, and resolve performance bottlenecks

AI Systems & LLM Orchestration

• Design and operate production-grade AI pipelines across multiple LLM providers
• Optimize prompts and workflows for batch processing, personalization, and segmentation at scale
• Manage rate limits, failover strategies, and cost optimization across AI providers

Databases & Data Infrastructure

• Manage MySQL, Redis, and MongoDB in production environments
• Oversee bulk writes, caching strategies, event streams, and analytics pipelines
• Ensure data consistency and performance across distributed services

Infrastructure, Reliability & Monitoring

• Own Linux-based infrastructure, CI/CD pipelines, and service deployments
• Implement centralized logging, monitoring, alerting, and uptime tracking
• Proactively identify and mitigate reliability and scalability risks

API Integrations & System Resilience

• Manage 25+ third-party API integrations used in production
• Design retry, fallback, and graceful degradation strategies
• Ensure system stability when external providers fail or degrade

Team Leadership & Engineering Standards

• Lead and mentor a small engineering team through code reviews and architectural guidance
• Set and enforce engineering standards, workflows, and best practices
• Collaborate closely with the founder on product direction and technical strategy

What Makes You a Perfect Fit

• You are a senior, hands-on engineer who enjoys owning systems end-to-end
• You are comfortable being the most experienced technical person on the team
• You balance fast execution with long-term architectural thinking
• You take ownership of reliability, performance, and technical outcomes
• You thrive in early-stage startup environments

Required Experience & Skills

• Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core
• Experience with distributed systems and independently deployed services
• Strong production experience with MySQL, Redis, and MongoDB
• Hands-on DevOps experience with Linux servers and CI/CD pipelines
• Experience managing large numbers of third-party API integrations
• Proven experience building and operating AI/LLM systems at scale
• Familiarity with AI-assisted development tools and workflows
• Strong understanding of monitoring, observability, and incident prevention
• Experience leading small engineering teams
• Strong English communication skills