Senior Software Engineer - Logs- Query

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

We are looking for a

Senior Software Engineer

to join our

Logs-Query team

at Datadog. The Logs-Query team is responsible for developing advanced log analytics capabilities, allowing our users to gain deep insights from their logs at scale. As part of the Logs-Backend organization, we focus on building powerful, cost-effective query and analytics solutions for

logs that empower DevOps, Engineers, Security Analysts, and Operations Analysts.

In this role, you will work with a talented team of engineers to help design, build, and scale our log query platform, ensuring it meets the needs of both power users and casual users. You will collaborate closely with other teams across Datadog, developing sophisticated features that enable our customers to perform real-time, high-performance analytics at a large scale.

At Datadog, we value collaboration and creativity. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do

Build Advanced Query Capabilities: Design and implement sophisticated, high-performance log query features that enable users to get insights from their logs in real time.

Develop Scalable and Cost-Effective Solutions: Contribute to building systems that are not only scalable and fast but also cost-efficient for large-scale log storage and querying.

Collaborate Across Teams: Work closely with cross-functional teams, including Product Managers and Event-Platform, to integrate shared capabilities and ensure seamless product experiences.

Work with Complex Data Systems: Design and build solutions to query logs from

Husky

(our storage backend), ensuring high availability and reliability in all systems.

Ensure High-Quality Code: Participate in the full software development lifecycle, from design to deployment, ensuring the delivery of robust and efficient code.

Mentor and Collaborate: Provide guidance and mentorship to junior engineers, and collaborate with team members to help solve complex technical problems.

Who You Are

You have experience building high-performance, distributed systems and enjoy the challenge of scaling solutions to meet the needs of a growing user base.

You are passionate about creating products that make a tangible impact on users, particularly in the realm of log analytics and observability.

You are experienced in developing query and analytics features.

You have strong experience with

distributed systems

, and a desire to dive deep into the challenges associated with querying large datasets.

You are a team player, able to collaborate with different teams and stakeholders to achieve the best results.

You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how

Bonus Points

:

Familiarity with

Java, Go

or

Trino

.

Experience With Large-scale

analytics products

or data platforms.

Experience With Real-time Log Analytics And Query Optimization.

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

Intradepartmental mentor and buddy program for in-house networking

An inclusive company culture, ability to join our Community Guilds (Datadog 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

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 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

.