Backend Engineer, IAM
You will design, build, and maintain highly scalable backend services for identity and access management. You will also collaborate with cross-functional teams to define and implement the IAM vision and roadmap for Reddit.
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You will design, build, and maintain highly scalable backend services for identity and access management. You will also collaborate with cross-functional teams to define and implement the IAM vision and roadmap for Reddit.
You will build and deploy LLM-based agents on top of platform scaffolding while integrating them into banking systems. Additionally, you will define evaluation metrics, monitor performance, and document processes to ensure teams can operate agents independently.
You will design, build, and scale high-performance backend services and REST APIs using Go and Typescript to support global fulfillment and logistics. Additionally, you will manage end-to-end backend components, including development, testing, deployment, and monitoring within an event-driven AWS architecture.
You will own the backend systems behind the Studio AI generation pipeline, designing and scaling Go microservices to manage complex AI workloads. This involves coordinating inference across media domains, ensuring system reliability, and optimizing asynchronous pipelines for high-performance output.
Design and implement realistic cloud infrastructure environments to evaluate AI model proficiency in systems design and troubleshooting. Develop deterministic validation tests and failure scenarios to rigorously test AI model responses and recovery strategies.
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Design and implement backend services and API layers for a multi-tenant streaming service operating at scale. Conduct code reviews, troubleshoot technical issues, and enhance existing codebases to improve global performance and reliability.
Design, build, and maintain Go-based automation to manage the full PostgreSQL lifecycle, including provisioning, scaling, and upgrades. Collaborate with cross-functional teams to improve database performance and reliability at internet scale.
Design and build core streaming infrastructure to decouple process data access from the execution engine. Lead the development of customer-facing data streaming capabilities and rebuild analytics data consumption at scale.
Design, build, and maintain backend services for the data layer, ensuring performance and scalability across relational databases and search engines. Lead engineering initiatives end-to-end while collaborating with cross-functional teams to deliver high-quality solutions.
Maintain and extend backend systems for an AI-powered research platform while building optimized data ingestion pipelines. Collaborate with cross-functional teams to integrate LLMs and agents into production workflows.
You will design and evolve data frameworks to ensure the scalability, health, and safety of GitLab's application datastores. This includes building proactive data growth controls, retention policies, and tooling to support both SaaS and self-managed deployments.
You will design and maintain backend APIs that enable partners and merchants to integrate with Affirm's platform. Additionally, you will collaborate with cross-functional teams to ensure system quality, scalability, and performance while meeting business objectives.
You will develop and maintain backend APIs that enable partners and merchants to integrate with Affirm's platform. Additionally, you will collaborate with stakeholders to ensure high-quality, scalable solutions while balancing speed and system reliability.
You will own the specifications and agentic pipelines that automate the development of multi-tenant data platform services. Your role involves directing AI agents to deliver production software while implementing rigorous verification machinery to ensure output quality.
Design and implement robust, scalable, and secure backend services to solve complex customer problems. Collaborate with product managers and cross-functional teams to ensure smooth feature delivery and address technical debt.
You will collaborate with cross-functional teams to design, develop, and maintain scalable backend systems using PHP and MySQL. Additionally, you will participate in code reviews, troubleshoot production systems, and share on-call duties to ensure high availability and performance.
Design, build, and maintain Python and Node.js microservices and data pipelines while ensuring system reliability and performance. Own features end-to-end, including technical design, deployment, monitoring, and integration of LLM-driven workflows.
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Design, build, and maintain scalable backend services using Python while leveraging AI tools to accelerate development. Collaborate with data and product teams to architect systems, validate AI-generated code, and ensure high-performance delivery.
Architect and evolve large-scale search infrastructure to power domain discovery and personalized recommendations. Lead technical strategy, mentor engineers, and drive the development of intelligent, scalable backend services using cloud-native technologies.
Lead the design and evolution of infrastructure and platforms that enable machine learning models to run in production at scale. Collaborate with ML scientists, data engineers, and product teams to deliver robust, ML-powered solutions.
You will design and operate scalable backend services, APIs, and data pipelines to provide context for agentic platforms. You will also own the end-to-end lifecycle of data systems, from ingestion and modeling to retrieval and serving.
You will architect and build scalable backend systems while integrating AI coding agents into the development workflow. You will also collaborate cross-functionally to influence product direction and mentor team members on engineering standards.
You will own the technical thesis for validating agent-generated software and build the architecture to implement these feedback mechanisms. You will collaborate with engineering teams to develop language-aware validation approaches and measure their effectiveness in real-world workflows.
You will design and implement scalable, resilient backend systems for the BiblioCore platform while championing AI-first development practices. This role involves leading technical initiatives, mentoring junior engineers, and integrating third-party APIs to enhance library content discovery.
You will act as the technical lead within a cross-functional pod, shaping technical decisions and guiding engineering work for core services. The role involves building and scaling backend systems while ensuring they remain performant, reliable, and aligned with the platform's long-term architecture.
Design and build highly scalable, resilient, and secure microservices and APIs while integrating business databases with advanced AI engines. Optimize backend service performance for real-time AI model hosting and collaborate with AI engineers to deploy solutions within Docker environments.
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You will design and implement scalable .NET services and REST APIs to support global commerce and payment infrastructure. Additionally, you will collaborate with cross-functional teams to deliver payment gateway integrations and mentor engineers to maintain high quality standards.
You will design and implement scalable .NET services and REST APIs to support global commerce and payment platforms. Additionally, you will collaborate with cross-functional teams to deliver payment gateway integrations and mentor engineers to maintain high-quality standards.
You will lead the technical direction of a real-time platform focused on trust, controls, and safety, ensuring the reliability and security of critical workflows. Responsibilities include optimizing database architecture, managing search at scale, and driving engineering standards through design reviews and mentorship.
Design, develop, and maintain backend services in Python while contributing to the architecture and scalability of the payments platform. Collaborate with cross-functional teams to build reliable solutions and resolve complex technical issues within production systems.
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