• Work on the development and evolution of Java applications, ensuring robust, scalable, and high-performance solutions. • Actively contribute to architecture decisions and software engineering best practices, collaborating with multidisciplinary teams to turn business needs into efficient technical solutions. • Serve as a technical reference within the team, promoting code quality, mentoring developers, and driving continuous improvement of systems to ensure stability, innovation, and excellence in deliveries. • Develop, maintain, and optimize Java applications to ensure high performance and scalability. • Participate in defining software architecture and design, proposing innovative technical solutions. • Collaborate with cross-functional teams (designers, product managers, other developers) to create efficient and effective solutions. • Perform code reviews and mentor junior developers. • Write automated tests to guarantee code quality and stability. • Contribute to technical documentation of systems and processes. • Identify and fix bugs, as well as optimize existing code. • Actively participate in team ceremonies.

• Maintain and evolve a NestJS application built with Clean Architecture and Domain-Driven Design (DDD); • Implement new features following strict code quality standards; • Develop and maintain RESTful APIs; • Work with PostgreSQL/MySQL databases; • Implement and maintain automated tests; • Participate in code reviews and ensure code quality; • Collaborate with the team to improve architecture and project standards.

• Drive improvements to our OpenSearch and Thanos infrastructure. • Design, build, and maintain backend services for high-performance data ingestion and storage • Operate and scale services across AWS (EC2, EKS, ECR) • Participate in an on-call rotation and take ownership of system reliability • Collaborate cross-functionally with engineering teams across the organization- strong English communication skills are essential

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