
201 - 500 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🏢 Enterprise
Artificial Intelligence • Cybersecurity • Enterprise
Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.
🔥 0 minutes ago
Angular
AWS
Cloud
Cyber Security
Docker
JavaScript
Kafka
MongoDB
MySQL
Node.js
NoSQL
Postgres
Python
RabbitMQ
Rust
SQL
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201 - 500 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🏢 Enterprise
Artificial Intelligence • Cybersecurity • Enterprise
Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.
• Design and deliver scalable, secure, and high-performance applications that enable seamless communication between backend platforms and user-facing applications. • Develop scalable backend services and APIs for data ingestion, processing, and integration. • Enable real-time and near real-time data flows between client and cloud systems. • Build intuitive and responsive web interfaces for monitoring, visualization, and control dashboards. • Integrate solutions with cloud services, databases, message brokers, and enterprise systems. • Ensure secure communication through authentication, authorization, encryption, and certificate management. • Implement cybersecurity best practices across remote access, endpoint management, cloud infrastructure, and application layers. • Build platform-independent desktop applications to collect telemetry data and transmit it to AWS Cloud using SDKs. • Build secure protocols for remote desktop and command execution to install software patches and manage Windows machines at customer locations via the cloud. • Monitor, troubleshoot, and optimize application and communication performance. • Participate in Agile development processes, including sprint planning, reviews, and retrospectives. • Create and maintain technical documentation, design artifacts, and deployment documentation. • Implement CI/CD pipelines and ensure code quality through automated testing, code reviews, and peer validation.
• 5–10 years of experience in designing, developing, and maintaining end-to-end full stack applications supporting data integration using AWS Cloud. • Proven experience as a Full Stack Developer delivering production-grade applications using Angular.js, Node.js, Python / C++ / Rust, and SQL and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cosmos DB). • Experience in developing platform-independent desktop applications for telemetry data collection. • Experience designing and consuming RESTful APIs and event-driven architectures. • Hands-on experience with real-time communication technologies such as REST/HTTP and WebSockets. • Solid understanding of secure application and data communication principles. • Hands-on experience deploying applications using CI/CD pipelines with GitHub, GitHub Actions, Docker, and Docker Compose. • Experience working in Agile/Scrum delivery environments. • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience. • Familiarity with message brokers and streaming platforms such as Kafka, RabbitMQ, or cloud messaging services. • Experience with system monitoring, logging, and observability tools. • Experience working in enterprise, security-focused, or compliance-driven environments. • Experience with cross-compilation and multi-platform build systems or legacy migration projects. • Background in medical device regulations (IEC 62304, ISO 13485) or other high-compliance industries. • Candidates from IIT (Indian Institute of Technology) are preferred
• Flexible working arrangements • Professional development opportunities
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