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60 Datadog Software Engineer Jobs Hiring Near You

Datadog

Senior AI Engineer - APM Experiences

New York, NY · On-site

$187K - $240K/yr

The opportunity Datadog's APM Experiences team owns the core product experience for Application ... Get to build tools for software engineers, just like yourself. And use the tools we build to ...

Datadog

Manager I, Engineering - CodeGen

New York, NY · On-site

$187K - $240K/yr

... 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 ...

Datadog

Manager I, Engineering - CodeGen

New York, NY · Hybrid

... 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 ...

Datadog

Senior AI Engineer - APM Experiences

New York, NY · Hybrid

$134K - $176.70K/yr

The opportunity Datadog's APM Experiences team owns the core product experience for Application ... Get to build tools for software engineers, just like yourself. And use the tools we build to ...

Datadog

Staff AI Engineer - Cloud FinOps

New York, NY · On-site

$234K - $300K/yr

As a Staff Software Engineer on Datadog's Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the ...

Datadog

Staff AI Engineer - Notebooks

New York, NY · On-site

$234K - $300K/yr

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations ...

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Datadog Jobs Information

What are the key skills and qualifications needed to thrive as a Software Engineer, and why are they important?

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

What are Software Engineers?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

What is it like to work at Datadog?

Datadog is a fast-paced and collaborative company that prioritizes innovation and customer satisfaction, fostering a culture of experimentation and continuous improvement.

The company's engineering teams are organized around product areas, allowing for a high degree of autonomy and flexibility in project work, while also promoting cross-functional collaboration and knowledge sharing. Datadog's offices are designed to be open and welcoming, with amenities such as game rooms, fitness centers, and on-site cafes.

Working at Datadog may appeal to candidates who value a dynamic and entrepreneurial work environment, with opportunities to contribute to the development of cutting-edge monitoring and analytics tools that help organizations improve their digital infrastructure and services.
What other companies are hiring for Software Engineer jobs?
What are the most popular jobs at Datadog?
What are the most popular categories at Datadog?
Infographic showing various Software Engineer job openings at Datadog in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
Staff Software Engineer - Logs Management

Staff Software Engineer - Logs Management

Datadog

New York, NY • Hybrid

Other

Posted 9 days ago

Job description

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you'll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what's possible with AI and distributed systems. You'll have the opportunity to lead efforts that shape the future of log management.

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:

  • Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers
  • Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale.
  • Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities.
  • Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture

Who You Are:

  • You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure
  • You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making
  • You've partnered effectively with Product Managers and customers to define product direction and ship impactful features
  • You have expertise in debugging complex systems and optimizing performance across real-time data pipelines
  • You have experience in using AI agents tools in your day-to-day engineering practices
  • You lead by example and enjoy helping others grow through mentorship and collaboration
  • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
  • Bonus: you're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled

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:

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture

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

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