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Role Description

We are hiring a Senior Backend Engineer (.NET / AI Systems) to own the entire technical function of an early-stage SaaS platform. This is a hands-on leadership role where you will write production code daily while making architecture, infrastructure, and AI system decisions for a platform operating at scale. You will be accountable for backend architecture, system reliability, AI pipelines, and guiding a small development team in a fast-moving startup environment.

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

Qualifications

• 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

What Does a Typical Day Look Like?

• Write and review production backend code
• Make architectural decisions across services, databases, and AI pipelines
• Monitor system health and resolve reliability issues
• Guide developers through code reviews and technical feedback
• Collaborate with the founder on product and system evolution

Key Metrics for Success (KPIs)

• System uptime and service reliability
• Backend and AI system performance improvements
• AI cost efficiency and pipeline stability
• Code quality and deployment reliability
• Team execution and delivery quality

Interview Process

• Initial Screening Call
• Technical Interview with Pavago Recruiter
• Client Interview
• Offer & Onboarding