Tech jobs
Job listings
DCIS Infrastructure Engineer
Senior engineer designing, deploying and maintaining NATO’s deployable IT infrastructure, including virtualization, identity management and DevOps automation across Windows/Linux environments.
Data Engineer (Microsoft Fabric)
Data Engineer will design and implement data pipelines in Microsoft Fabric, integrate diverse data sources, transform batch data, and ensure data quality/validation. Core tech: PySpark, SQL, Delta/Parquet, Azure Synapse, and Git-based workflows.
CSA Project Manager - Data Center Construction
Oversees CSA (civil, structural, architectural) project execution for large-scale data center construction, managing stakeholders, timelines, budgets, and compliance while ensuring design standards and process improvements.
DevSecOps Engineer
Designs and automates secure cloud platforms and CI/CD pipelines, integrating SAST/SCA scanning and Kubernetes security for clients in defense, mobility, and telecom.
Senior Manager, Market Solutions Engineering
The New York Independent System Operator (NYISO) manages the efficient flow of electricity on more than 11,000 circuit-miles of high-voltage transmission lines, dispatching power from hundreds of generating units…
Senior Software Engineer, Instrument Control
A Senior Software Engineer develops and maintains software for advanced life science research instruments, focusing on hardware control, imaging, automation, and distributed services using C#, .NET, Linux, and other technologies.
Corporate Support Engineer
Key Responsibilities: PowerShell, Python, or Other Scripting: (Moved to First) Develop and maintain PowerShell, Python or other scripts for automation of administrative tasks. Implement scripts to streamline processes…
Platform Engineer (m/f/d)
Build and maintain internal platforms (IDP, CI/CD, observability, infrastructure) to streamline developer workflows and scale resilient systems using Kubernetes, AWS, and automation tools.
Ingénieur MLOps (F/H)
Maintains and optimizes GPU/Kubernetes infrastructure for AI workloads, deploys and secures LLM serving stacks, and builds MLOps pipelines for training and inference.
Manager I, Documentation
The Documentation team creates engaging and informative technical content, particularly our public product documentation: Datadog Docs . This is an opportunity for a Documentation Manager to help us deliver high…
Principal Partner Solutions Architect (Public Sector - Fed)
Principal Partner Solutions Architect for Datadog’s public sector team, advising federal agencies and partners on observability, cloud migrations, and compliance frameworks like FedRAMP.
Technical Account Manager 2 - São Paulo
We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a…
Developer Advocate - Service Management
You’ll advocate for Datadog’s service-management tools by creating demos, writing, speaking, and partnering with engineering to educate users on observability and incident response.
Data Engineer - GCP
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
DevOps Specialist
The DevOps Specialist will design, implement, and support CI/CD pipelines and cloud infrastructure to improve software delivery and operational efficiency at Save-On-Foods. The role focuses on automation, Infrastructure as Code (IaC), and managing containerized workloads within Azure environments.
DevOps Site Reliability Engineer
The DevOps Site Reliability Engineer will manage deployment pipelines, troubleshoot application performance, and automate operational tasks for containerized business applications. The role requires expertise in Docker, Kubernetes, Linux, and scripting with Bash and Python.
Intern - AI/ML
An AI/ML internship focused on developing multi-agent systems, agentic coding tools, and ML models for trading infrastructure. Core work involves building agent orchestration, deploying ML models, and optimizing MLOps pipelines in a fintech environment.