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Builds and deploys AI-powered systems for Tavily’s enterprise clients, bridging technical and business needs across the customer lifecycle. Core focus: RAG pipelines, agent workflows, and API integrations.
The Forward Deployed Engineer will work with strategic partners to design and build integrations that embed Tavily's search engine into the modern agentic AI stack. This role involves shipping code, creating reference implementations, and collaborating with external engineering teams to drive adoption of Tavily's API.
Graduate Equity Analysts conduct fundamental research to identify trading opportunities, collaborate with traders and developers, and execute research-backed trades on Optiver’s trading floor. Core tech includes AI-driven tools for news/event analysis and probabilistic modeling.
A DevOps Engineer manages Linux servers, optimizes infrastructure, and deploys services for racing game projects using PostgreSQL, Kubernetes, Docker, and CI/CD tools like GitLab CI.
Senior DevOps Engineer managing on-premise Kubernetes infrastructure, CI/CD, and monitoring for a blockchain-based international payment system. Responsibilities include ensuring high availability, security, and incident response.
Principal/Senior Security Engineer at Vay builds and oversees cybersecurity for autonomous vehicle and remote-driving systems, aligning with automotive security standards like ISO 21434 and UNECE R155/R156.
Build and optimize the low-latency networking stack that streams real-time video and data between autonomous vehicles and remote driving stations using C++ and Linux.
Develop and maintain E2E and API automated tests using Playwright, TypeScript, and Docker for a mobile and web product company. Responsibilities include enhancing the test framework, managing test documentation, and ensuring product quality.
About the Role At ARX Robotics, building our team is as critical as building our technology. As the (Senior) Talent Acquisition Manager for Business & Operations, you will lead the charge in hiring the world-class…
Semi-senior Data Engineer implementing ETL processes using Informatica Cloud for a banking client (Galicia) via Accenture. The role involves data integration work and requires 3+ years of ETL experience, with preferred skills in Teradata, AWS, and Redshift.
Lead architecture and technical direction for major features or systems at OneTrust, a platform for responsible AI and data governance, while mentoring engineers and shaping engineering best practices.
Lead architecture and build internal platforms, AI tools, and workflows to accelerate software delivery while ensuring responsible AI use across engineering teams.
The AI-Augmented Data Engineer will design, build, and maintain scalable data pipelines and models using a cloud-native, as-code approach. The role focuses on leveraging AI tools like ChatGPT and Claude Code to accelerate delivery and improve data quality across various business-oriented squads.
Designs and implements scalable security controls for MongoDB Atlas’ multi-cloud infrastructure, focusing on runtime policies, vulnerability management, and secure CI/CD workflows using Linux security mechanisms, Kubernetes, and cloud provider tools.
Senior engineer builds and secures core database features in C++/Rust/Go, focusing on encryption, authentication, and distributed-system integrity for MongoDB.
Leads reliability-focused programs for MongoDB’s cloud platform, coordinating SRE teams and cross-functional partners to improve production stability and scalability using observability and cloud-native tools.
Lead a team building MongoDB Atlas’s data federation and archiving features, including distributed query engines and cloud storage integrations across AWS, Azure, and GCP.
Senior Software Engineer at MongoDB to develop and optimize the distributed query engine for MongoDB's database system, primarily using C++.
Secure MongoDB’s database server and AI/ML-powered platform by designing security controls, threat modeling, and code reviews while collaborating with engineering teams to embed security into the product lifecycle.
Build core AI interfaces for MongoDB, including the MCP Server and Agent Skills, enabling developers and AI agents to interact seamlessly with MongoDB at scale.
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