Cloud Backend Engineer
Lead the evolution of a global FinOps metrics platform on Google Cloud Platform. Transform a legacy system into a modern architecture based on OpenTelemetry.
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Lead the evolution of a global FinOps metrics platform on Google Cloud Platform. Transform a legacy system into a modern architecture based on OpenTelemetry.
Build and maintain high-throughput infrastructure to power reliable web data collection at scale. Focus on improving success rates against aggressive site defenses and managing the proxy layer's health and cost efficiency.
Develop and optimize scalable backend services, APIs, and database systems to power web and mobile applications. Lead the engineering team through code reviews, mentoring junior engineers, and driving technical innovation.
Design and implement backend services and APIs for access controls, auditing tools, and identity workflows. Build integrations with cloud managed databases and develop hardened security for Linux and Mac users.
Lead architectural innovation and strategic technical direction for customer-facing systems to ensure long-term scale and resilience. Collaborate with leadership to align engineering efforts with business outcomes while mentoring senior technical talent.
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As a senior engineer, you will design, build, and maintain scalable backend systems and APIs. You will collaborate with other engineers to deliver complex product capabilities and contribute to ongoing improvements in engineering practices.
Design and scale LLM-based backend systems to process massive amounts of unstructured insurance data. Set the technical direction for the Submission Processing team and make critical architectural decisions under ambiguity.
The role focuses on improving the reliability, scalability, and efficiency of mission-critical backend services. Responsibilities include developing new services like k8s operators and caching layers while optimizing operational cost models.
Develop and maintain scalable APIs and interfaces to connect the voize AI companion with senior care and hospital software platforms. Take end-to-end ownership of integration design, data modeling, and implementation to improve documentation for caregivers.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service tooling, and automated provisioning. Design secure data access patterns and develop integrations between the platform and internal systems to support large-scale data applications.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service automation, and data governance. Develop integrations and next-generation AI-native data tooling to support large-scale analytical use cases.
Design and evolve high-throughput distributed systems in Go to handle billions of daily events and petabytes of data. Lead architectural decisions regarding performance and reliability while improving service-to-service communication and resolving system bottlenecks.
Lead the design and implementation of secure, scalable backend services for speech processing and distributed compute orchestration. Improve core inference services focusing on networking, latency, and memory optimization to maximize system performance.
Own and maintain integration and E2E test automation frameworks and associated CI pipelines to improve developer productivity. Design technical solutions to optimize test execution time, stability, and overall test strategy.
Own and maintain integration and E2E test automation frameworks and associated CI pipelines to optimize execution time and stability. Collaborate with engineering teams to provide triage support and contribute to the company's overall test strategy.
The role involves designing and maintaining robust backend architectures using Java and Spring Boot, as well as developing and implementing RESTful APIs. Additionally, the developer will be responsible for the maintenance and evolution of legacy applications in a highly regulated financial environment.
Design and scale backend systems and APIs to power consumer-facing financial products. Collaborate with cross-functional teams to drive code quality, security, and operational excellence.
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Design and build the control plane API and event-driven orchestration layer to coordinate actions across the internet simulation platform. Own the platform's persistent storage infrastructure and the Kubernetes-native deployment and operational model.
Design and operate Kubernetes-based deployment automation for a simulated internet services catalog. Build content seeding pipelines and manage external DNS and email delivery infrastructure to create realistic simulated environments.
Design and optimize core backend services, APIs, and data processing components for desktop and distributed applications. Ensure high performance, security, and scalability while integrating with thick client platforms like Electron.
Design, build, and maintain scalable backend services and integrations within a microservices-based, event-driven architecture. You will own features from start to finish, managing high-volume data ingestion and exposing APIs for customers and internal UIs.
Design and implement AI-powered features and scalable APIs to connect ClickHouse with AI/ML inference systems. Responsible for integrating models into production with proper monitoring and developing tools to enhance the developer experience.
Design and implement AI-powered features and scalable APIs to connect ClickHouse database capabilities with AI/ML inference systems. Responsible for integrating models into production with proper monitoring and developing SDKs and tools for the AI/ML ecosystem.
Lead the technical direction and architecture of the core platform while remaining hands-on with the code. Responsibilities include mentoring engineers, optimizing system performance, and integrating AI and automation to improve efficiency.
Lead the design and implementation of secure, scalable backend services for speech processing and distributed compute orchestration. Improve core inference services focusing on networking, audio transcoding, and system performance optimization.
Design and maintain scalable backend services, APIs, and distributed systems using Python and Django. Optimize data storage solutions and implement asynchronous task queues to ensure high-performance system reliability.
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Lead the design and development of secure back-end services, RESTful APIs, and microservices within an AWS and Kubernetes environment. Collaborate with cross-functional teams to implement cloud-native applications that comply with IRS and NIST security standards.
The role involves hands-on engineering and testing of AI Agent features and the internal agent framework. Additionally, the engineer will conduct R&D to integrate the latest AI innovations into the cybersecurity platform.
Develop and maintain features for Agent Observability and Interactions within the GitLab monolith and AI gateway. Collaborate with cross-functional teams to design scalable APIs and establish architectural patterns for AI agent integration.
Build and maintain core backend services, APIs, and workflows for a finance super app covering insurance, payments, and investing. Design reliable systems for transactions and partner integrations while improving system observability and security.
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