Software Engineer - Data & Analytics Platform

Posted 8 Days Ago
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Paris, Île-de-France
Hybrid
Junior
Artificial Intelligence • Cloud • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Design, build, and deploy tools for Flink and infrastructure at Datadog, manage deployments, and contribute to open-source efforts.
Summary Generated by Built In

The Data & Analytics platform is responsible for batch and streaming data processing infrastructure at Datadog. Our mission is to provide a managed, integrated ecosystem to enable everyone at Datadog to easily interact with and derive value from data. We support products such as Cloud Cost Management, Metrics, Security, Data Science and Product Analytics, running 300k batch jobs per day and processing millions of points per second in Flink.

We're looking for a Software Engineer to collaborate with the infrastructure and product organizations to build and improve the deployment, management, and tooling of Flink jobs for the next generation of Datadog products.

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: 

  • Design, build, and deploy scalable tools and infrastructure supporting our product engineering team (Flink Kubernetes operations, CI/CD, orchestration, deployment...)
  • Create a development environment that enables reliable Flink jobs and rapid iteration for engineers
  • Contribute to open-source Flink development
  • Drive the technical growth of Flink stream processing at Datadog, spanning all product areas, and contribute to Datadog’s Data Streams Monitoring product

Who You Are: 

  • You have a BS/MS/PhD in a Computer Science, Engineering or a related scientific field or equivalent experience
  • You are a software engineer with 2+ years of professional experience in building and operating distributed systems and/or stream processing applications
  • You have proven ability to build and operate distributed systems to solve problems at a high scale
  • You have experience executing projects that span data engineering, data science and infrastructure
  • You ship fast, route around blockers, and are comfortable working with ambiguity
  • You’re happy to jump into any part of the stack and do whatever’s needed to move a project forwar

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 


Benefits and Growth: 

  • Competitive global benefits
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

Top Skills

Ci/Cd
Distributed Systems
Flink
Kubernetes

What the Team is Saying

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The Company
HQ: New York, NY
5,000 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
HQNew York, NY
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Lisbon, PT
Madrid, ES
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Tokyo, JP
Learn more

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