Join Datadog as a Senior Software Engineer to build a cutting-edge continuous profiling product in a hybrid work environment.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Experience working with AI coding agents to produce performant and maintainable results.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Software Engineer will focus on designing and building core services for Datadog's continuous profiling product, ensuring it operates efficiently at scale. Proficiency in Java and/or Go is essential, along with experience in distributed systems and high-performance applications. This position is well-suited for engineers with a strong background in architectural decision-making and collaboration across teams. The team emphasizes a culture of creativity and collaboration, operating in a hybrid work environment.
Joblaze insights
Quick facts
From the original posting
The Continuous Profiler](https://www.datadoghq.com/blog/continuous-profiling-fourth-pillar/) team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis.
As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go (https://opensource.datadoghq.com/projects/go/) and tackle novel problems, from profiling asynchronous Python applications (https://www.datadoghq.com/blog/engineering/async-python-profiler/) to helping customers solve memory leaks in their applications (https://www.datadoghq.com/blog/memory-leak-workflow/).
At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
Who You Are:
Benefits and Growth:
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
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