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Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Builds scalable Java/Kotlin microservices with Spring Boot, manages high-volume data in PostgreSQL/Redis, and optimizes high-traffic systems using RabbitMQ/NATS.
Senior DevOps Engineer designs, deploys, and maintains Kubernetes and on-prem infrastructure, owns observability and CI/CD, and leads incident response for a global nonprofit fundraising platform.
Build and own core AI analytics systems in TypeScript/React/NestJS with PostgreSQL and Rust, scaling data pipelines and APIs that track how AI surfaces brands.
Build and scale real-time data infrastructure for a high-throughput crypto social network, designing pipelines, analytics systems, and storage solutions in Python/SQL with Spark, Kafka, and ClickHouse.
Builds and maintains an enterprise search and data platform using OpenShift, Kubernetes, and ClickHouse, focusing on secure, scalable DevOps practices.
Build end-to-end features in Python (backend) and React (frontend) for a cloud-native investigative intelligence platform that scales to petabyte datasets and integrates generative AI and graph algorithms.
Build and maintain data pipelines and models for BI, ML, and AI systems at a fast-growing Italian telecom, using Python, SQL, and ETL tools.
Lead the development of AI-powered data querying systems that let users ask business questions in natural language and return actionable insights, while building scalable data quality tools.
Design and scale Kubernetes infrastructure for Go/PHP game services, automate CI/CD with GitHub Actions/Jenkins, and ensure observability with Grafana/Promtail.
Builds and secures Kubernetes infrastructure using Talos, AKS, ArgoCD, and Terraform while maintaining on-prem/cloud hybrid systems.
Maintain and secure Kubernetes clusters (Talos, AKS) using GitOps (ArgoCD), IaC (Terraform), and Strimzi for Kafka on K8s.
Build and run the data backbone that ingests trillions of events daily, maintaining Kafka, ClickHouse, Aurora, and MongoDB on AWS to keep Nexthink’s platform reliable and fast.
Builds and optimizes real-time data pipelines and ClickHouse infrastructure for a scalable analytics warehouse and feature-serving layer in a multi-tenant environment.
Designs and builds scalable batch and streaming data pipelines in Python, Spark, and ClickHouse, and manages Airflow workflows for scheduling and monitoring.
Build and maintain scalable data pipelines and platforms for Proton’s privacy-focused products using Scala/Java/Python and Spark, ensuring reliable analytics and insights.
Builds Python services and scalable data pipelines for ML/AI systems, optimizing LLM workloads and orchestrating workflows on Kubernetes/GCP.
Build and maintain large-scale data pipelines in Go and ClickHouse to process petabytes of marketing data, enabling SEO and adtech insights for global users.
Senior Software/Data Engineer builds scalable data pipelines and services in Python/SQL to power Clarity AI’s climate-focused AI systems, ensuring reliability and performance.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
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