Top Tech Jobs & Startup Jobs

Senior backend engineer to architect and implement distributed, cloud-native backend services and public APIs that ingest and normalize high-volume IoT/sensor data. Lead design and deployment of resilient ingestion pipelines, workflow orchestration, authentication, and monitoring in AWS. Interface with enterprise clients, shape product and architecture, and drive engineering standards and automation.

Own and ship major parts of a core web application for power users. Build high-performance, stateful interfaces for search, transactions, and workflows. Collaborate with backend, product, and design to define and deliver end-to-end features with full ownership.

Own and improve backend services for an AI-native learning platform: build Python/Node.js services, design serverless/cloud-native architectures, implement event-driven workflows and advanced NoSQL models, integrate LLM-based features (RAG, embeddings, vector search), ensure production reliability, observability, testing, and frontend API integrations while collaborating in a cross-functional remote team.

Design, build, and operate scalable, high-performance software for real-time financial data feeds. Lead architecture discussions, collaborate with operations, ensure data quality, research technologies, and drive end-to-end projects.

Embed with client teams to design, build, and ship AI-driven integrations and automations. Responsibilities include prompt and retrieval design, prototyping with no-code tools and custom Python/JavaScript, hardening prototypes for production (reliability, logging, monitoring, access control), handling sensitive data, producing runbooks/specs, and collaborating with platform and engagement leads to drive adoption and reusable patterns.

Lead and grow a distributed engineering team to design, build, and operate a cloud-native data platform. Guide architecture, delivery planning, and vendor relationships while contributing hands-on to code and design reviews. Align technical execution with product priorities and ensure security, performance, and reliability of analytics and data systems.

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Embed as the senior technical lead inside portfolio companies to discover business problems, architect and ship production AI systems (model/provider selection, retrieval/grounding, guardrails), own reliability and deployment end-to-end, mentor engineers, and convert solutions into reusable patterns and platform assets.

Build and run the full technical recruiting function for engineering roles: source, screen, interview design, ATS and metrics ownership, pipeline forecasting, and close senior/staff engineers with complex equity offers while partnering with CEO and CTO.

Senior backend engineer building secure, scalable microservice infrastructure. Translate product requirements into technical designs, implement high-availability services, design APIs and schemas, embed security across app/API/infrastructure layers, build observability (metrics, alerts, tracing), collaborate with product/design, and participate in hiring while working remotely.