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Pavago

Pavago specializes in connecting businesses with top-tier offshore talent in operations, sales, and marketing, offering a comprehensive recruitment solution designed to reduce cost

Senior Backend Engineer - (.NET / AI Systems)

Location

United States

Posted

135 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Senior Backend Engineer - (.NET / AI Systems)

Pavago

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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

Job Requirements

  • 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

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