Posted by employer 6 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 8 hours ago
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Software Engineer at Datadog will focus on developing and scaling observability pipelines for customer-managed log systems, ensuring seamless deployment and operation. Key skills include expertise in distributed systems, proficiency in systems-level programming languages like Go or Rust, and experience with cloud platforms and container orchestration. This position is ideal for seasoned engineers with a background in customer-deployed software and a track record of leading cross-functional projects. Datadog fosters a collaborative culture, emphasizing creativity and work-life balance in a hybrid environment.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Datadog's careers page October 14, 2026.
- Salary band is above the typical range for Backend roles (median ~$180,000).
- Starts above 84% of 82 comparable staff backend roles in United States that list AWS we track (median $204,000 across 39 companies). See AWS salary trends
- AWS appears in 33.7% of 300 comparable staff backend roles in United States; Linux appears in 2.3% of 300 comparable staff backend roles in United States.
Quick facts
- Is the Staff Software Engineer - Logs Observability Pipelines role remote?
- It's hybrid — Datadog expects some on-site time in New York, New York, USA.
- What's the salary range?
- Datadog lists $234,000–$300,000 for this role.
- Where is the role based?
- Datadog is hiring for this position in New York, New York, USA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, C++, GCP, Go, Kubernetes.
- What seniority level is this role?
- Datadog targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer - Logs Observability Pipelines role at Datadog.
From the original posting
Role Summary:
Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale.
What You’ll Do:
- Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments
- Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments
- Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects
- Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure.
- Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning
- Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments
Who You Are:
- You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service.
- You have strong expertise in distributed systems, including scalability, performance optimization, and high-throughput data processing
- You are proficient in systems-level programming (e.g., Go, Rust, or C++) and understand how software runs across diverse environments (e.g., Linux systems)
- You have experience with cloud platforms (e.g., AWS, Azure, or GCP) and are comfortable troubleshooting infrastructure and networking issues
- You are experienced with containerization and orchestration technologies such as Kubernetes in production environments
- You have a track record of leading large, cross-functional engineering efforts and influencing technical direction across teams
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
#LI-Hybrid
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:
Standard company text repeated across Datadog's postings is omitted here.
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