
About Datadog
The cloud monitoring platform engineers love
Key Highlights
- Public company (NYSE: DDOG) - strong equity upside
- 26,000+ enterprise customers including Netflix & Samsung
- NYC headquarters with offices in Paris, Dublin, Sydney
- $1.5B raised from Sequoia, IVP, and Index Ventures
Datadog (NYSE: DDOG) is a leading cloud observability platform that provides monitoring and analytics for applications, infrastructure, and logs. Trusted by over 26,000 customers including major companies like Netflix, Samsung, and Airbnb, Datadog is headquartered in New York City. The company went ...
π Benefits
Datadog offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy. Employees also benefit from a learning ...
π Culture
Datadog fosters an engineering-first culture, with 70% of its workforce comprising engineers. The company emphasizes a strong focus on solving complex...
Overview
Datadog is seeking a Staff Software Engineer for their Product Analytics team to lead the technical direction of their user analytics platform. You'll work with technologies like Java, Python, and SQL to enhance backend systems for analytics. This role requires significant experience in backend engineering and system architecture.
Job Description
Who you are
You have 5+ years of experience in backend engineering, with a strong focus on building scalable production systems. Your expertise includes designing and deploying services that handle complex data queries and analytics workloads. You are comfortable working with various stakeholders, including product managers and designers, to ensure that the technical architecture aligns with product goals.
Your technical skills include proficiency in Java and Python, as well as experience with SQL databases. You understand the nuances of data storage and retrieval, particularly in the context of analytics, and you have a track record of optimizing systems for performance and reliability. You are a collaborative team player who enjoys mentoring junior engineers and sharing knowledge across teams.
You are familiar with cloud services, particularly AWS, and have experience using monitoring tools like Datadog to ensure system health and performance. You thrive in a hybrid work environment and value the importance of office culture and collaboration in driving innovation.
Desirable
Experience with data analytics platforms and user behavior analysis is a plus. Familiarity with agile methodologies and experience leading technical initiatives will help you excel in this role. You are adaptable and open to learning new technologies as the product evolves.
What you'll do
In this role, you will lead the technical direction of the Product Analytics team, focusing on enhancing the user analytics platform. You will partner closely with engineering, product, and design teams to architect and deliver a backend platform that supports complex analytics workloads. Your responsibilities will include defining the technical roadmap for Product Analytics and aligning multiple engineering teams around shared goals and architectural principles.
You will drive high-visibility technical initiatives, ensuring that the systems you design can handle large volumes of behavioral data with low latency and high reliability. You will evaluate and implement new technologies that can improve the performance and scalability of the analytics platform. Your role will also involve mentoring team members and fostering a culture of collaboration and continuous improvement.
What we offer
Datadog provides a hybrid work environment that promotes work-life harmony. You will have the opportunity to work on a fast-growing product area that is critical to the company's success. We offer competitive compensation and benefits, along with a supportive team culture that values creativity and collaboration. Join us to make a significant impact on how our customers understand user behavior and drive product growth.
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