About the role
Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
- Write in Go, Java Rust or C++, amongst other languages
- Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
- Own meaningful parts of our service, have an impact, grow with the company
Who You Are:
- 6+ years of experience
- You have a BS/MS/PhD in a scientific field or equivalent experience
- You have significant backend programming experience in one or more languages (Go, Java, Rust, C++)
- You have been exposed to working on problems (high durability / low latency /…)
- You can get down to the low-level when needed
- You care about simple designs and performance
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- 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 products.
This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
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.
#LI-LB1
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 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.
Aplyr's read
Datadog is a leader in cloud-scale monitoring and analytics, attracting tech-savvy professionals focused on enhancing system performance and reliability.
What's promising
- •Datadog's platform is crucial for businesses needing comprehensive observability solutions.
- •The company's rapid expansion into international markets offers diverse career opportunities.
- •Strong focus on innovation with roles in AI and serverless technology.
What to watch
- •High competition in the observability market may pressure growth.
- •Complexity of the platform could pose challenges for new users.
- •Dependence on cloud infrastructure may limit appeal to non-cloud businesses.
Why Datadog
- •Datadog integrates seamlessly with over 450 technologies, enhancing its versatility.
- •The company provides a unified platform for developers, IT, and business users.
- •Datadog's focus on AI-driven insights sets it apart in the analytics space.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Datadog
Datadog is a monitoring and analytics platform for developers, IT operations teams, and business users. It provides observability solutions for cloud-scale applications, enabling organizations to gain insights into their systems and improve performance and reliability.
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