Datadog is seeking a Software Engineer to join their Data & Analytics Platform team, which is responsible for batch and streaming data processing infrastructure. The role focuses on building and improving deployment, management, and tooling of Flink jobs for next-generation Datadog products. The platform processes massive scale data, running 300k batch jobs daily and processing millions of points per second in Flink.
The position offers an opportunity to work with cutting-edge stream processing technology and contribute to open-source Flink development. You'll be part of a team that supports critical products including Cloud Cost Management, Metrics, Security, and Data Science. The role combines infrastructure engineering with data processing at scale, requiring both technical depth and breadth.
Datadog operates in a hybrid workplace model, valuing office culture while enabling work-life harmony. The company is a successful public SaaS business (NASDAQ: DDOG) known for combining growth with profitability. Their mission involves breaking down silos and solving complexity in the cloud age by enabling digital transformation and infrastructure monitoring across entire technology stacks.
The ideal candidate will have strong distributed systems experience, be comfortable with ambiguity, and be able to work across different parts of the technical stack. While the role requires technical expertise, Datadog values potential and encourages applications from passionate technologists even if they don't meet all qualifications. The company offers competitive benefits, equity compensation, and an inclusive culture with opportunities for professional growth through Community Guilds.