Senior Software Engineer - Autonomous Ops & Maintenance (ATOM)

United States Digital Space LLC

Paris

Hybride

EUR 90 000 - 140 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

RSUs
ESPP
Mentor program
Career development
Inclusion talks
Mental health benefits
Global benefits

Résumé du poste

Datadog is seeking a Senior Software Engineer to design and scale foundational architecture, synthesizing large technical datasets into structured knowledge and building AI-driven components. The role focuses on reliable systems for automated modifications with a hybrid work model to support work-life harmony.

You will own features end-to-end, work through ambiguous problems, and ensure reliability and observability of shipping software. 6+ years of experience and Go proficiency are expected.

Qualifications

  • 6+ years of experience in software engineering.
  • BS/MS/PhD in a scientific field or equivalent experience.
  • Proficient in Go.
  • Experience with large-scale distributed systems.
  • Experience using AI coding tools in daily workflows.
  • Bonus: Kubernetes, workflow orchestration, or AI agents.

Responsabilités

  • Lead a greenfield initiative from inception to scale, shaping foundational product architecture and engaging with users.
  • Build mission-critical solutions that customers depend on daily.
  • Build fault-tolerant, horizontally scalable solutions for multi-tenant environments.

Connaissances

Go
Distributed systems
AI tooling
Kubernetes
Workflow orchestration
AI agents

Formation

BS/MS/PhD in science field

Outils

N/A

Description du poste

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments.

Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention.

We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly.

*At the company, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.*

What You’ll Do:
  • Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts
  • Build mission-critical solutions that customers depend on daily
  • Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
Who You Are:
  • You have 6+ years of experience
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You are proficient in Go
  • You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational quality of what you ship
  • You have experience with large scale distributed systems
  • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
  • Bonus Point: You have experience with Kubernetes, workflow orchestration systems, or building AI agents
Benefits and Growth:
(Describe opportunities offered here)
  • 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 (the company 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

#LI-Hybrid

About the company:

the company is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company:

the company 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

the company endeavours to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to the company as part of your application will be processed in accordance with the company’sApplicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at the company AI Guidelines.

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