Cloud-native data and AI platform builder for enterprise scale-out
Cognologix is a 51–200-person engineering-focused shop in Pune building cloud-native data platforms and generative AI solutions. The stack—Java, Spark, Kafka, Flink, GCP, Kubernetes—reflects a mature distributed-systems practice; active adoption of Kubernetes and Prometheus suggests they're maturing containerization and observability. Project breadth (data pipelines, computer vision, NLP, cloud-native test automation) signals a consulting-led services model, with the pain-point pattern (terabytes of data, low-latency ingestion, raw-to-insights transformation) pointing toward enterprise customers wrestling with scale.
Cognologix delivers cloud-native data platforms and generative AI applications for large and mid-market enterprises. The company operates across three main verticals: distributed data processing (Spark, Flink, Kafka pipelines handling terabyte-scale workloads), AI and analytics (computer vision, NLP, deep learning, multi-modal Gen AI), and cloud infrastructure automation (Kubernetes, containerization, test frameworks for cloud-native apps). The team is headquartered in Pune and primarily hires in India, with engineering and data disciplines dominating active hiring.
Java, Spring Boot, Apache Spark, Kafka, Apache Flink, GCP, BigQuery, Kubernetes, Docker, Python, and CI/CD via Jenkins and GitLab CI/CD. Currently adopting Kubernetes and Prometheus for orchestration and observability.
Cloud-native AI solutions, data pipelines (Spark, Flink), computer vision and NLP applications, low-latency Java microservices, test automation frameworks for cloud-native apps, and data analytics platforms handling terabyte-scale workloads.
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