Location: Noida (Office-based) Employment Type: Full-time, Permanent Job ID: BD-006 About Us We’re an Indian-founded cybersecurity company building high-performance, cloud-native security products — from advanced malware extraction platforms to next-gen SIEM solutions. Our engineering culture values clean code, secure architecture, and rapid iteration. Join us in developing mission-critical systems that power enterprise security and national cyber defense. Key Responsibilities Design and develop robust, secure, and scalable backend services in Node.js and Python (Django) . Build and maintain RESTful and GraphQL APIs , background task queues, and data pipelines supporting security analytics workflows. Implement log ingestion and real-time search using Logstash , OpenSearch , and OpenSearch Dashboards/Kibana . Collaborate with DevOps engineers to ensure automated CI/CD pipelines , containerized deployment (Docker/Kubernetes), and infrastructure as code. Integrate threat detection logic, alerting mechanisms, and telemetry enrichment modules into backend systems. Follow full software development life cycle practices—unit testing, code reviews, secure coding, documentation, and continuous integration. Work with frontend, product, and security research teams to translate detection use cases into functional, performant features. Required Skills Strong proficiency in JavaScript ( Node.js) and Python (Django or FastAPI). Solid understanding of SDLC , Git workflows, and clean architecture patterns. Experience with log processing stacks (Logstash, OpenSearch/Elasticsearch, Kibana/OpenSearch Dashboards). Familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, or ArgoCD. Knowledge of secure coding principles and exposure to building resilient systems. Understanding of containerization (Docker) and microservices deployment. Nice-to-Have Experience in C or C++ for performance-critical modules, sandbox components, or agent development. Exposure to SIEM/SOAR systems , detection engineering, Sigma rules, or alert pipelines. Familiarity with Kubernetes , Prometheus, and distributed tracing. Working knowledge of cloud environments (AWS, GCP, or Azure). Preferred Experience 2+ years of backend development experience in production-grade environments. Prior experience working on cybersecurity products, monitoring tools, or data-intensive platforms is a plus. Bachelor's degree in computer science, Engineering, or related technical field (or equivalent experience). Why Join Us Work on critical security infrastructure used by enterprises and government agencies. Build backend services at the intersection of cybersecurity, cloud infrastructure, and real-time analytics . Join a fast-growing product team with an R&D-first mindset. Competitive compensation, flexible work options, and professional growth support. How to Apply Fill in the form for applying: https://forms.gle/yFSoycUj46SDFjuq8

Job Title: Artificial Intelligence Engineer Location: Noida (In-Office) Employment Type: Full-time, Permanent Job ID: AI-007 About Us We are a cybersecurity product company building next-generation platforms for threat detection, malware sandboxing, SIEM, and real-time telemetry analytics. As we scale the intelligence layer across our ecosystem, we are looking for an AI Developer to lead the design, development, and integration of AI-driven services into our products. Key Responsibilities Design and develop AI/ML-based services for cybersecurity applications such as threat detection, malware classification, behavior analysis, log correlation, and anomaly detection. Seamlessly integrate AI solutions into existing platforms including our sandbox system, SIEM, and T-Sense telemetry engine. Build, deploy, and maintain AI microservices/APIs using tools like FastAPI or Flask for scalable inference and automation. Fine-tune or train models using real-world security datasets; optimize performance for production environments. Leverage LLMs, vector search , or prompt-engineered workflows where applicable to enhance product capabilities. Collaborate closely with product managers, backend developers, and security researchers to map real use-cases into applied AI features. Stay current with advancements in AI/ML, especially in the context of security and adversarial defense. Required Skills Proficiency in Python and core AI/ML libraries: TensorFlow, PyTorch, scikit-learn, HuggingFace, etc. Experience building, training, and serving machine learning models in production . Solid understanding of cybersecurity concepts , logs, behavioral analysis, or threat classification. Hands-on experience with LLM APIs , embeddings, and integration of vector databases (e.g., FAISS, Weaviate, Pinecone). Ability to build AI solutions with Docker, REST APIs , and deploy in real-time environments. Comfortable converting AI prototypes into modular, testable, and scalable backend services. Nice-to-Have Past experience developing custom AI models for niche or production use-cases. Familiarity with SIEM platforms, malware datasets , log pipelines, or SOC workflows. Experience with MLOps tools like MLflow, DVC, or Kubeflow. Open-source contributions or public AI/security projects are a big plus. Preferred Experience 2+ years in applied AI/ML development, preferably with exposure to cybersecurity products. Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. Portfolio, GitHub, or case studies demonstrating applied AI projects or systems. Why Join Us Work on cutting-edge AI systems in a cybersecurity-first environment. Opportunity to influence and own AI components across multiple products. Solve complex, real-world threats using AI at scale. In-office collaboration with a focused product-engineering team based in Noida. Competitive salary, learning budget, product ownership, and growth opportunities. How to Apply Fill in the form for applying: https://forms.gle/yFSoycUj46SDFjuq8