Top Engineering Jobs

The role involves leading backend engineering efforts to build scalable distributed systems, enhance APIs, and troubleshoot production issues. Candidates should possess expertise in backend languages and cloud engineering principles.

Designs, operates, and improves large-scale production systems and bare-metal datacenter deployments. Automates tooling, manages Kubernetes and virtualization, troubleshoots hardware, participates in on-call rotation, writes docs, and leverages AI to optimize operations.

As an Engineer II, you'll build and manage scalable data ingestion platforms, develop connectors, optimize performance, and troubleshoot critical production issues, while collaborating with teams on multiple projects.

Lead a distributed SRE team owning CI/CD platform reliability, automation, observability, and data infrastructure. Provide people management, technical direction, architecture input, operational excellence, and cross-team collaboration while driving automation, monitoring, and AI-assisted workflows.

Build and scale production-grade web components (Lit) for a global design system, ensure near-100% test coverage (Playwright), enforce accessibility, theming and i18n, optimize performance and bundle sizes, maintain design tokens, provide technical leadership, code reviews, documentation, CI/CD, and mentor engineers integrating the design system.

Implement, maintain, and optimize AI-enhanced network monitoring, anomaly detection, automated remediation, and telemetry integrations across hyperscale hybrid cloud infrastructure. Collaborate with Network Engineering and TechOps, document automated procedures, and participate in 24x7 on-call rotation to ensure high availability and rapid incident response.

The Engineering Manager will lead a Data Replay & Recovery Team to build a data replay application, improve service efficiency, and design a data platform for processing large datasets.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

As a Senior Software Engineer on the static analysis team, you'll design and implement core components for an automated reverse-engineering engine, working on complex code analysis problems and delivering technical projects from research to production.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.