๐ New York, NY
Datadog provides monitoring and analytics for cloud-scale applications, headquartered in New York City, USA. Its platform integrates with various services and technologies, offering real-time observability across applications, infrastructure, and logs. The engineering team focuses on software development, particularly in areas like distributed systems, data processing, and cloud computing. With a strong emphasis on performance and scalability, Datadog employs a diverse range of engineers who tackle challenges related to system reliability and data visualization. The company has grown significantly, serving thousands of customers worldwide.
Senior Software Engineer - Linux Kernel / GPU Monitoring
@ Datadog
Senior Software Engineer - Linux Kernel / GPU Monitoring
@ Datadog
Senior Software Engineer - Linux Kernel / GPU Monitoring
@ Datadog
Software Engineer - Linux kernel
@ Datadog
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Datadog provides monitoring and analytics for cloud-scale applications, headquartered in New York City, USA. Its platform integrates with various services and technologies, offering real-time observability across applications, infrastructure, and logs. The engineering team focuses on software development, particularly in areas like distributed systems, data processing, and cloud computing. With a strong emphasis on performance and scalability, Datadog employs a diverse range of engineers who tackle challenges related to system reliability and data visualization. The company has grown significantly, serving thousands of customers worldwide.
Datadog operates in the embedded systems space with focus on Software Development. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in Datadog should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Dec 2025 through May 2026
Hiring momentum at Datadog is currently increasing, with 3
openings posted this month compared to 0 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, Datadog averaged 0.5 job postings per month,
with peak hiring in May 2026 (3 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
๐ New hiring activity
Consistent hiring velocity
May 2026
eBPF is the most in-demand skill at Datadog,
appearing in 100% of all job listings (past and present).
This universal requirement indicates eBPF forms the core of Datadog's
technical stack across all engineering teams.
Datadog's technology stack spans 10 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Datadog should combine depth in key areas with adaptability. Firmware development expertise is critical, especially for engineers skilled in bare-metal programming, RTOS development, and optimizing code for resource-constrained systems. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Datadog operates across 3 countries with 3
total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams,
expansion into new markets, or proximity to manufacturing and customer operations.
Paris, France serves as a primary hiring hub with 50% of all roles
(2 positions).
The significant presence in Paris indicates a major engineering hub,
though other locations also play important roles in product development.
These employers share technical focus areas with Datadog and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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