Staff Software Engineer - Analytics Data Platform

Requirements:

• Seasoned software engineer with extensive experience driving architecture and execution for cross-team engineering initiatives focused on distributed systems and stream processing applications
• Care about reliability and efficiency, designing resilient and performant systems
• Cut through ambiguity, route around blockers and act as a force multiplier for your team, enabling them to ship quickly and safely
• Experience leading projects that span data engineering, data science and infrastructure
• Happy to jump into any part of the stack and do whatever’s needed to move a project forward

What You'll Be Doing:

• Work alongside teams of engineers and steer the design, implementation and deployment of scalable data processing infrastructure and tools (Flink, Spark, PySpark, Kubernetes)
• Enable the productization of Datadog’s AI effort by supporting Ray in a managed, scalable and isolated environment
• Collaborate closely with product engineering teams to ensure that the platform provides the best infrastructure for Datadog’s products
• Contribute to open-source development of Flink and Spark to make sure they support Datadog’s usage
• Identify scalability, reliability and efficiency risks and design solutions to address them, driving the growth of batch and streaming frameworks at Datadog
• Lead and support the team through mentorship, technical leadership, project prioritization and process improvements

Perks and Benefits:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits