Top Tech Jobs & Startup Jobs

As a Senior Full Stack Software Engineer at Sift, you'll develop complex telemetry data applications, optimize UIs, and create efficient APIs while collaborating on product architecture.

Design and build scalable platforms for high-frequency data ingestion, develop database solutions, and pioneer data architecture while collaborating on engineering standards.

Design and build a scalable data infrastructure for real-time telemetry, focusing on backend and distributed systems while collaborating on architecture and processes.

Design and maintain scalable infrastructure solutions, optimize performance, automate deployment, and improve reliability. Collaborate with teams to influence product architecture.

Design and maintain scalable infrastructure solutions, collaborate to optimize application performance, implement monitoring systems, automate deployments, and evolve backend architecture for cloud and on-premise environments.

Own and ship backend systems and agentic AI features for telemetry analysis: design agent tool interfaces, build distributed job execution on Kubernetes, implement APIs and MCP server, integrate frontier models, and build evaluation and observability for production agent workloads.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Build and operate agentic backend systems that reason over large-scale time-series telemetry. Design APIs, tool interfaces, sandboxed code execution, distributed job scheduling on Kubernetes, observability, and evaluation suites. Partner with customers and product to turn real workflows into dependable AI agent capabilities across cloud and on-prem deployments.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.

Full‑stack product engineer building and operating agentic AI systems that analyze large-scale time-series telemetry. Own product features end-to-end: frontend UX, backend APIs, agent orchestration, sandboxed code execution, evaluation, observability, and model integrations while working directly with customers.