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At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present…
About Responsive Responsive, formerly RFPIO, is the market leader in a growing category of SaaS solutions called Strategic Response Management. More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe…
Duties: Architect and govern enterprise web experience platforms: Define technical architecture, design patterns (Helix/SXA), and governance standards for scalable, high-availability Sitecore (XP/XM/XM Cloud) solutions…
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and…
Whole industries have been disrupted and transformed in recent years by digital technology. As a Technology Consulting Professional, you will help businesses realize the value they can gain from their IT investments —…
Senior Product Manager on MongoDB's Search Systems Engineering team, driving the long-term technical vision for search infrastructure at scale, partnering with distributed systems engineers on vector, hybrid, and AI-native search platform capabilities.
Pre-sales Solutions Architect at MongoDB specializing in Atlas Search: advises customers on building scalable systems on MongoDB Atlas, runs demos and proofs of value to support sales, assists complex search deal cycles (lexical and semantic), and relays field feedback to the Atlas Search product team. Core tech: search engines (Elasticsearch, Lucene, Solr, Algolia), MongoDB Atlas, Python/Node.js
A senior engineer will architect and scale AlphaSense's search platform serving billions of documents at hundreds of QPS with millisecond latency, lead a zero-downtime legacy-to-modern migration, and establish monitoring/testing/deployment practices. Core focus: distributed systems, with exposure to search engines (Vespa/Elasticsearch/Solr), Kubernetes, and JVM tuning.
Senior platform engineer owning AlphaSense's search platform that serves billions of documents with hundreds of QPS at millisecond latency. Day to day: scaling distributed systems, migrating legacy systems to modern architecture, and building monitoring, testing, and performance-optimization practices (Kubernetes, JVM tuning, hybrid lexical/vector search).
Staff-level full-stack (frontend-heavy) engineer on AlphaSense's Content Experience team: designs and builds scalable frontend microapps and backend services, leads technical architecture, mentors engineers, and integrates LLM/AI features. Core stack: React, TypeScript, GraphQL, Python/Java backends on AWS/GCP with Kubernetes.
AlphaSense is hiring a Staff Full Stack (frontend-heavy) Engineer in India to build scalable systems for its AI-driven market intelligence platform. Day to day: own architecture and reliability across React/TypeScript frontends and Python/Java backend APIs, mentor engineers, and apply cloud-native DevOps practices on AWS/GCP.
Onsite cloud software engineer (Annapolis Junction, MD) developing and maintaining big-data cloud back-end systems — Hadoop ecosystem, distributed computing, and information retrieval — for a cleared intelligence program. Requires 8+ years' experience, fullstack JavaScript/Node.js/TypeScript, and an active TS/SCI clearance with polygraph.
Staff-level backend software developer on Coursera's (merged with Udemy) Monetization team in Toronto, owning service architecture, product API development, and data modeling. Day-to-day is hands-on Java microservices work with MySQL, DynamoDB, gRPC, GraphQL, and Kafka, plus A/B testing, monitoring, and shaping product decisions with data.
Backend software developer on Coursera's Monetization team, leading technical initiatives around service architecture, product API development, and data modeling while balancing hands-on coding with technical leadership. Day-to-day work uses Java, MySQL, DynamoDB, gRPC, GraphQL, Kafka, and microservices, with heavy emphasis on A/B testing and data-informed decisions.
Staff Big Data Engineer at Qualys in Pune who defines the technical vision and architecture for the data platform powering the Enterprise TruRisk Platform, building and scaling distributed streaming systems (Spark, Kafka, Hadoop) that process billions of events daily, while leading design decisions and mentoring engineers.
Backend developer on Outdooractive's R&D team in Immenstadt, building and maintaining the core of their outdoor/tourism platform: Java EE web applications, server infrastructure, APIs and partner integrations. Core stack includes Java EE, Tomcat, PostgreSQL/PostGIS, Solr, MemcacheD, Jenkins, SVN and Git, with a focus on performance, scalability and code quality.
Principal engineer architecting the search backend for the entire Jira suite, leading a multi-year effort to decompose monolith search services into microservices handling billions of daily requests. Core stack centers on OpenSearch/Elasticsearch, Lucene internals, and distributed cloud-native systems on AWS/GCP, working remotely across Atlassian's APAC entities.
Senior .NET engineer at Notified (an Equiniti Group company) in Bengaluru, building its Public Relations / Investor Relations platform. Day to day: designing scalable C# .NET Web APIs, Node.js services and SQL Server schemas, doing code reviews, unit tests, CI/CD and cloud (Azure/AWS) work in hybrid Scrum teams (office Tue–Thu).
Leads a data science team at LexisNexis building LLM- and RAG-powered legal drafting and retrieval tools. Day to day involves people leadership, setting technical strategy for AI agents and RAG pipelines, and mentoring data scientists using Python, LangChain, vector databases, and cloud ML infrastructure.
DevOps engineer at a deep-tech company that extracts strategic insights from technical and patent documentation for R&D/IP teams. The role manages on-premise and cloud server infrastructure, builds CI/CD pipelines, automates deployment/testing, and handles troubleshooting, security and backups using Linux, Docker/Podman, Jenkins/GitLab CI, databases and at least one major cloud.
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