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Services Architect 3

Hybrid in London·Added 11 days ago (last checked 8 Oct)

Datadog

21 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have 5+ years of experience

    Mid-level role.

Skills

Nice to have

Requirements

What we're looking for

Who You Are:

  • Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
  • Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc...
  • Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and.NET etc
  • Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
  • Able to sit up to 4 hours, traveling to and from client sites
  • Able to travel via auto, train or air up to 30% of the time
  • Growth mindset by embracing change and AI tools

Pay & benefits

What you'll get

Benefits and Growth:

  • Best-in-breed onboarding
  • Generous global benefits
  • Intra-departmental mentor and buddy program for in-house networking
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

The role

Datadog's Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer's implementation, and leading them through it every step of the way.

What you'll do

  • Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
  • Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
  • Write automation and design architecture for deployment templates
  • Manage the operation of implementation projects
  • Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

How you'll work

At Datadog, 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.

Who You Are:

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.

About Datadog

Datadog 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, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Hiring process

4 steps3 interviewsa task to do
  1. Initial screen

    With a recruiter and/or hiring manager

    A first conversation for the hiring team to get to know you and hear your aspirations.

  2. Face-to-face interview

    With hiring manager and team members

    Conversations with the recruiter, hiring manager or team members; may consist of multiple rounds or panels depending on the role.

  3. Take-home project

    In your own time · Not every role

    Some roles include a take-home project; the recruiter explains its scope and expectations.

  4. Executive interview

    With an executive leader · Not every role

    For some roles, a final conversation with an executive leader about your experience and the wider team.

  5. Selection and offer · With a recruiter

  • One of the steps is expected to happen in person; virtual rounds run on Zoom and travel is arranged by Datadog.
  • Certain engineering roles use AI-assisted coding interviews, announced in advance; AI is not allowed in other live coding rounds.
  • The recruiter shares next steps and timelines after each interview.

About Datadog

Industry
Observability
Founded
2010
Employees
5,000–10,000
Headquarters
New York City, USA

In their own words

Additional information

Datadog 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.

Datadog endeavors 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.

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

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