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Build and maintain the backend (Java/Quarkus) and Angular front-end that orchestrate thousands of distributed batteries and solar assets, integrating with energy markets and real-time control systems.
Builds and maintains a distributed energy-fleet platform: Java/Quarkus backend APIs, Angular front-end, Kafka/InfluxDB/PostgreSQL data pipelines, Kubernetes CI/CD, and DevSecOps observability.
Builds interactive BI dashboards and UI modules in Java/JavaScript using GWT, HTML/CSS, and JSON; collaborates with teams to deliver pixel-perfect, user-focused interfaces.
Build and maintain R&D analytics models and reporting in Pigment to help engineering teams ship faster and make data-driven decisions using SQL, dbt, and BI tools.
Build and scale high-performance backend systems and APIs for a global adtech platform serving billions of requests daily, using languages like C#, Python, or Java.
Design and build next-gen IP/SDN networking software, including controllers and automation tools, while collaborating with ML teams to prototype innovative network concepts.
Build and scale backend systems managing global advertiser budgets using Flink, Kafka, Spark, Python, and .NET to ensure seamless campaign performance for thousands of customers.
Build and own security integrations (WAF, RASP, API Security) for Datadog’s polyglot tracing libraries in .NET/Java, shipping production-hardened code that instruments thousands of apps globally.
Lead a team of Data Engineers to modernize TheFork’s data platform using AWS, Snowflake, and Airflow, implementing Lakehouse and Data Mesh principles to power analytics and business insights.
Build and maintain Microsoft Fabric data platforms for clients, designing semantic models, pipelines, and visualizations in Power BI to deliver end-to-end analytics solutions.
Design and build Snowflake-based data pipelines and models for clients in finance, energy, mobility, luxury, and healthcare, using SQL, Python, and cloud ETL tooling.
Leads a team of data engineers to design and build scalable data architectures for large clients, focusing on AI and sustainability use cases using cloud platforms like Azure Databricks, AWS, or GCP.
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Builds and maintains Pigment’s internal GTM data systems, AI agents, and web apps (FastAPI/React) to power Salesforce, HubSpot, and team workflows.
Designs and maintains data pipelines in Snowflake and dbt to feed analytics and AI models for a global clean-mobility company.
Build and maintain CI/CD pipelines in Azure DevOps to automate builds, tests, and deployments for Safran’s digital solutions, ensuring reliable and secure production releases.
Build and secure cloud-native AI/ML pipelines on AWS for Safran’s analytics factory, automating CI/CD, enforcing DevSecOps practices, and hardening Kubernetes clusters.
Build and maintain Kubernetes-based data and AI platforms for a cybersecurity SOC, automating deployments with Helm/ArgoCD and Python/NodeJS backends.
You’ll design, automate, and secure cloud infrastructure for clients, using Linux/Windows, AWS/Azure, Kubernetes, Docker, Ansible, Puppet, and CI/CD pipelines to ensure high availability and reliability.
Build and maintain SaaS web apps that embed ML and generative AI for aerospace engineers, using Python, React, AWS, and agent frameworks like LangGraph.
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