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The Observability Infrastructure SRE Team is part of the Core Observability SRE group and the SRE/Security organization overall. Core Observability is a group focused on managing Datadog's internal observability tooling and practices, which includes using a variety of Datadog products. The group is focused on observability's adoption and efficiency throughout Datadog's organization, as it is a key aspect of an effective SRE approach for engineers to build and operate systems more effectively.
The Observability Infrastructure team owns the Datadog telemetry data plane, collecting large volumes of observability data (such as metrics, logs, traces but also various security-related data types) across all Datadog environments. This newly formed team focuses on the performance and scalability of that pipeline in a multi-region, multi-cloud provider ecosystem. In this pipeline, they work on libraries, fleet of agents, data processors and endpoints, partnering closely with the engineering teams who are building these components. We routinely work together on testing or building new functionality, improving the product for both Datadog internally and our customers.
As a Software Engineer working on this team, you'll help own critical observability systems to ensure scalability, reliability, and efficiency across Datadog. We aim to integrate the latest Datadog features, drive product innovation, and maintain operational excellence.
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:
- Solve Datadog specific observability, instrumentation or telemetry collection problems, by designing and implementing internal solutions or contributing to our products.
- Build, scale and operate a robust telemetry data plane, processing a large amount of data with strict performance and reliability objectives.
- Work hand in hand with our infrastructure team to design an architecture for all of Datadog environments, across many different cloud providers, regions of the world, or technology stacks. Support the scale and growth of Datadog in all of these dimensions.
- Gather requirements for operational usecases with the relevant stakeholders (developers, infrastructure teams, on-call/incident response, security investigations and incidents, compliance, …) and work on implementing relevant supporting telemetry collection, processing and configuration.
Who You Are:
- You have 3+ years experience in software engineering, running production systems at scale. Bonus if you have specifically worked with systems that process telemetry or observability platforms in a cloud-native environment.
- You have the ability to explore and analyze problems to propose efficient and easy to adopt solutions.
- You have hands-on experience with a structured programming language (Go, Python)
- You have strong communication skills and experience working in cross-team program/projects
- You have experience leading the adoption of programs/projects with wide impact across Engineering
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.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
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 an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
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