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Software Architect at an MIT-born, venture-backed startup building an AI copilot for design and manufacturing. You lead architecture and hands-on delivery of scalable distributed systems across Python, TypeScript, gRPC, GCP, and React, while mentoring engineers and partnering with product and research teams.
ML Ops Engineer at an AI-for-manufacturing startup: builds and operates end-to-end ML pipelines (training, validation, deployment) on Google Cloud and AWS, automates CI/CD for ML artifacts, and maintains monitoring for model performance and data drift. Core stack: Python, TypeScript, Docker, Kubernetes, Terraform, GitHub Actions, Vertex AI.
Backend engineer at Koah Labs, an early-stage San Francisco startup building an ad network for AI-native products. You'll design scalable data models, real-time auction and ad-decisioning systems, and low-latency services using Ruby on Rails, PostgreSQL, ClickHouse, Kafka, Redis, and AWS/Terraform infrastructure.
Data Scientist at Koah Labs, a San Francisco ad-tech startup building an ad network for AI-native products. You'll sit within product engineering, design and analyze experiments, and apply statistical modeling to marketplace data using Python, PostgreSQL, ClickHouse, and Kafka to drive data-driven product decisions.
Platform engineer at Koah Labs, a San Francisco startup building an ad network for AI-native products. You'll design, build, and operate the infrastructure powering the adtech marketplace across Terraform/AWS, PostgreSQL/ClickHouse/Kafka, and a Rails/React/TypeScript core app.
Software Engineer - Product at Koah Labs, a San Francisco startup building an ad network for AI-native products. You'd lead full-stack initiatives—optimizing matching algorithms and building user-facing experiences—using Ruby on Rails, React/TypeScript, Python, and data infra like PostgreSQL, ClickHouse, and Kafka, working in-office.
Software developer at betzemeier automotive software in Minden, Germany, building and extending the company's SaaS product: designing user-friendly UIs, developing REST/GraphQL APIs, and evolving an event-driven (Event-Sourcing, CQRS) microservice architecture. Stack spans TypeScript/Vue.js, Node.js/Go/Python, NATS, and Docker/Kubernetes.
Principal-level data science role at an insulin-delivery (diabetes medtech) company, applying statistical modeling, machine learning, and forecasting to customer and commercial data to drive targeting, territory design, and growth planning. Core stack: Python/R, SQL, dbt, cloud data warehouses, and visualization tools. On-site 4 days/week in Northridge, CA.
Lead a software team at Reverion bridging the PLC/SPS world and cloud infrastructure for its fleet of reversible biogas/hydrogen power plants: own fleet connectivity and OTA deployments, run time-series data infrastructure (InfluxDB, ClickHouse, MQTT, Kafka), and deliver core services and monitoring, using Python, C# or Rust. Based in Eresing, Germany.
Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Classiq is a quantum computing software company. We build the platform that enterprise teams and government organizations use to develop, optimize, and deploy quantum software across any quantum hardware. We're a…
A permanent Data Engineer role in Perth, recruited by Peoplebank for one of its clients. The engineer joins a Systems team designing, building, and optimising scalable cloud data solutions for a modern enterprise data platform, with a core stack of Snowflake, dbt, and Python.
Leads a small dev team at a HubSpot Elite Solutions Partner, delivering HubSpot integrations, migrations, and custom builds while hands-on writing backend code, APIs, and data migration logic in Node.js, Python, or PHP. Fully remote, owns planning, QA, and client communication.
Build and maintain automated tests for a sovereign AI-driven cyber-defense SaaS platform, using Python, TypeScript, and AI tools to ensure reliability across cloud and security flows.
A senior platform engineer who builds and maintains Ledgebrook's AWS cloud infrastructure: managing EKS Kubernetes clusters, Terraform IaC, and Istio service mesh, plus automating CI/CD with ArgoCD and GitHub Actions and creating Helm-based self-service deployment tools so developers can ship reliably.
Data Analyst at nonprofit One More Child who turns organizational data into insights for fundraising, finance, and program operations. Day to day: building Power BI dashboards, maintaining Microsoft Fabric pipelines and semantic models, and doing trend analysis, forecasting, and predictive modeling using SQL, Spark, and Python.
Parallels is hiring a Principal Backend Engineer to define backend architecture, decompose a mature Django app into asynchronous microservices, own API and cloud strategy, and write the most critical system code while mentoring a team of 7-8 engineers. Core stack: Python, RabbitMQ/Kafka, PostgreSQL, Redis, containers, and CI/CD.
Publicis Sapient seeks a Senior Data Engineer to maintain and operate critical AWS data platforms in a production support role: troubleshooting incidents, optimizing complex SQL queries, and building Python automation to keep releases smooth and improve data quality for global teams.
Mid-level Data Engineer in Medellín, Colombia building scalable data solutions: developing reliable ETL pipelines and complex transformations on a modern data platform. Core stack is Databricks, Python, SQL, and Spark, with Snowflake or cloud services as a plus.
Senior L2/L3 production support data engineer at Publicis Sapient: monitors, troubleshoots, and resolves critical data-platform incidents on AWS, tunes SQL and Amazon Aurora performance, performs root cause analysis, and builds Python automation scripts to keep production data systems reliable.
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