Software Engineer II, Enterprise Engineering

Posted 57 Minutes Ago
Easy Apply
New York, NY, USA
Hybrid
Junior
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
As a Software Engineer on the Enterprise Engineering team, you'll design scalable tools, collaborate with teams, improve CI/CD pipelines, and enhance automated solutions for Datadog's business needs.
Summary Generated by Built In

Enterprise Engineering is a global team of engineers building custom applications with tailored end-user experiences for Datadog employees. We are responsible for building backend and full stack applications used across Datadog. This includes the user account lifecycle platform which supports employee onboarding, offboarding, account recertification, SaaS license management, device posture monitoring solutions and e-discovery.


As a Software Engineer on the Enterprise Engineering team, you will help us move faster and more efficiently by writing code to create extensible and scalable platforms used across Datadog. You will build the foundation for some of our most integral automation systems that enable your colleagues to succeed and Datadog to scale.


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.


What You’ll Do:

Collaborate with teams across the organization to identify gaps and design automated solutions to address Datadog’s business needs

Design and build scalable full stack tools that have company-wide impact

Add and deploy features to existing applications

Build and maintain integrations with third-party SaaS platforms, working with vendor APIs to automate identity, access, and license management workflows

Participate in a team on-call rotation to troubleshoot and solve issues with our tools

Continuously improve CI/CD pipelines to accelerate development velocity and deployment hygiene

Contribute to architectural discussions and help define technical direction for team projects


Who You Are:

Minimum 2+ years of professional software engineering experience

You have significant experience in one or more languages (e.g. Go, Python), with the interest and drive to learn additional tools and technologies 

You enjoy working with stakeholders to gather requirements and deliver real value

You have experience designing, building, and deploying scalable end-user applications and APIs; preferably in AWS  (Frontend experience a plus)

You have excellent verbal and written communications skills as well as working with remote team members

You take an active role in identifying and proposing initiatives to improve existing systems

You use AI tools effectively when coding, writing, or solving complex problems
Bonus
Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.


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:

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

Continuous professional development, product training, and career pathing

Intra-departmental mentor and buddy program for in-house networking

An inclusive company culture, ability to join our Community Guilds

Access to Inclusion Talks, our Internal panel discussions

Free, global Spring Health benefits for employees and dependents age 6+

Competitive global benefits


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

#LI-Hybrid

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.

Equal Opportunity at Datadog:

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. 

Privacy and AI Guidelines:

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.

Skills Required

  • 2+ years of professional software engineering experience
  • Significant experience in one or more languages (e.g. Go, Python)
  • Experience designing, building, and deploying scalable applications and APIs, preferably in AWS

What the Team is Saying

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Datadog Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, and vision coverage paired with dedicated mental‑health access (including free annual sessions for employees and dependents) and gender‑affirming care indicates robust healthcare support. Fitness reimbursements further reinforce preventative wellness.
  • Parental & Family Support Fully paid, gender‑neutral parental leave alongside family‑forming support (adoption, fertility, preservation, surrogacy) and childcare assistance shows strong backing for growing families. Pet‑related assistance in eligible offices expands family‑oriented offerings.
  • Equity Value & Accessibility An employee stock purchase plan with a discount and RSUs for many roles broaden access to ownership. This equity mix enhances total rewards beyond base pay.

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The Company
HQ: New York, NY
6,500 Employees
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
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