Senior Backend Engineer

Job Title: Senior Backend Engineer (.NET / AI Systems)r

Position Type: Full-Time, Remote

Working Hours: U.S. Business Hours

About the Role

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

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

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
• In short: You own the technical foundation of the platform and ensure it scales reliably while enabling rapid product development.

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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