1 day ago
Base Salary
$192k - $240k/yr
Responsibilities
- Build fault-tolerant and horizontally scalable distributed systems for multi-tenant environments.
- Design, implement, and operate foundational platforms in production.
- Develop data pipelines that ingest, store, analyze, and query billions of events per second in real time.
- Write software in Go, Java, Rust, C++, and other languages as appropriate.
- Use Kafka, Redis, Cassandra, Elasticsearch, and other open-source components.
- Own meaningful parts of services and address durability, availability, latency, performance, and operability challenges.
- Use AI coding tools and validate, critique, and refine AI-generated output.
Requirements
- At least 6 years of professional experience.
- A BS, MS, or PhD in a scientific field, or equivalent experience.
- Significant backend programming experience in one or more of Go, Java, Rust, or C++.
- Experience working on high-durability and low-latency problems.
- Ability to work at a low level when needed.
- Demonstrated ability to use AI coding tools in day-to-day workflows and evaluate their output.
- Eligibility for any required US government authorizations may be required for some roles due to export control regulations.
Benefits
- Hybrid workplace with office collaboration.
- New hire stock equity through RSUs and an employee stock purchase plan.
- Continuous professional development, product training, and career pathing.
- Intradepartmental mentor and buddy program.
- Inclusive company culture, Community Guilds, and access to Inclusion Talks.
- Global mental health benefits for employees and dependents age 6+.
- Healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and discounted employee stock purchase plan; offerings vary by country and employment type.
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.