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    Senior Backend Engineer

    Pavago
    Full-time
    RemoteDesign2 days ago

    About this role

    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

    About Pavago

    P
    Pavago

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