Role Description You'll build and maintain frontend features for a React application used by thousands of marketing professionals daily. You'll work from Figma designs, write clean component code, and collaborate closely with a small, experienced engineering team that takes code quality seriously. - Build new UI features and components using React and JavaScript - Translate Figma designs into responsive, accessible interfaces - Fix frontend bugs reported by users or caught in QA - Participate in code reviews and implement feedback - Write basic tests and contribute to improving frontend code quality Qualifications - Solid understanding of HTML, CSS, and JavaScript fundamentals - Hands-on React experience — personal projects, bootcamp work, or freelance all count - Comfortable with Git and working in a pull-request workflow - Eager to learn, takes feedback well, asks questions when stuck Requirements - Familiarity with TypeScript (nice to have) - Experience consuming REST APIs from the frontend (nice to have) - Exposure to testing libraries like Jest or React Testing Library (nice to have) Benefits - $700–$1,100 USD/month based on experience - Fully remote and async-first - Mentorship from senior engineers — regular code reviews and pairing - Paid leave - Clear path to Mid-level or Senior Frontend Engineer

Role Description You'll work on the backend API and microservices that power the platform — building new endpoints, improving performance, writing tests, and maintaining integrations with third-party logistics partners. You'll work in a modern Node.js stack with PostgreSQL, Redis, and AWS. - Build and maintain REST API endpoints and background jobs in Node.js - Write database queries and manage schema migrations in PostgreSQL - Debug and resolve backend issues raised by the QA or support teams - Integrate with third-party logistics and mapping APIs - Write unit and integration tests for the services you build Qualifications - Solid Node.js and JavaScript skills — you've built and shipped backend code - Experience with relational databases (PostgreSQL or MySQL) - Comfortable with Git, REST APIs, and working in a team codebase - Methodical debugger — you trace problems systematically Requirements - Experience with Express.js or Fastify (Nice to have) - Familiarity with Redis, message queues, or event-driven architecture (Nice to have) - Exposure to AWS services (Lambda, SQS, RDS, or similar) (Nice to have) Benefits - $700–$1,100 USD/month based on experience - Fully remote with flexible hours - High-scale, interesting technical problems - Paid leave - Path to Senior Backend or Full-Stack Engineer

Role Description We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. What You Will Be Doing: - Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. - Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. - Invent new algorithms or data structures, or find and implement existing ones. - Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch. - Be an expert on how Elasticsearch implements vector similarity in support of search relevance. - Work with community members from all over the world on issues and pull requests. - Write idiomatic modern Java -- Elasticsearch is 99.8% Java! Qualifications - You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval. - Professional experience with vector similarity and vector databases, using HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. - Strong skills in core Java and conversant in the standard library of data structures and concurrency constructs. - Ability to work with a high level of autonomy, guiding projects from beginning to end. - Comfortable developing collaboratively, giving and receiving feedback on code and approaches. - Experience with several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra. - Excellent verbal and written communication skills. Requirements - Bonus Points: You've built things with Elasticsearch before. - Experience with open source projects and familiarity with different styles of source control workflow and continuous integration. - Experience designing, leading, and owning cross-functional initiatives. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Minimum of 16 weeks of parental leave.

Role Description We’re looking for a Software Engineer to work on real-time, performance-critical systems powering traffic detection and smart mobility solutions. - Focus on building and optimizing software that runs across edge devices and cloud systems. - Strong exposure to low-latency processing, system performance, and hardware integration. - Own and contribute to critical system components end-to-end, including system behavior in production—covering performance, reliability, observability, networking, and deployments. - Primarily a real-time / edge systems role, with backend exposure and light frontend work for internal tools, dashboards, APIs, and system monitoring. - Work on live traffic deployments, where robustness, fault tolerance, and performance directly impact safety-critical infrastructure. Qualifications - 3–5 years of experience in software engineering or a related field. - Strong experience in real-time systems, high-performance backend systems, or edge/embedded computing. - Proficient in C++ or Python (both is a strong plus). - Solid understanding of Linux systems, multithreading, concurrency, and system performance optimization. - Experience debugging complex systems in production environments. - Experience with testing frameworks and CI/CD pipelines. - Working knowledge of networking fundamentals (TCP/IP, DNS, routing, basic VPN/proxy concepts). - Exposure to hardware integration, sensors, or edge devices is a plus. - Familiarity with computer vision pipelines or ML systems is a plus. Requirements - Design, develop, and maintain production-grade software systems across edge and cloud with a focus on performance, reliability, and low latency. - Build and optimize real-time data processing and inference pipelines, integrating ML models into production systems. - Implement features and enhancements within existing system architecture and design guidelines. - Profile, optimize, and debug system behavior across CPU, memory, I/O, networking, and distributed systems. - Troubleshoot and resolve complex production issues across application, OS, and network layers. - Support and optimize edge systems, including hardware–software integration with sensors, cameras, and traffic controllers. - Build and operate reliable edge coordination systems (e.g., heartbeats, failover and recovery mechanisms). - Design and maintain backend services, APIs, and internal tools for system operation and monitoring. - Improve system observability through logging, monitoring, diagnostics, and performance tracking. - Design and maintain networking components (e.g., VPNs, proxies, routing, secure edge–cloud connectivity). - Develop and maintain CI/CD pipelines for build, packaging, deployment, and rollback across edge and cloud environments. - Implement secure access control and system isolation mechanisms on Linux-based systems. - Collaborate with ML, QA, and deployment teams to integrate, test, and support systems in real-world deployments. Benefits