Jobs / United States / Datadog INC
Senior Software Engineer
Datadog INC · 🇺🇸 Boston, Massachusetts, USA; New York, New York, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Datadog INC paid sponsored hires in similar roles4 certified filings for “Software Engineer II” (Software Developers) in MA: $215k–$229k, median $215k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Datadog INC
The US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Datadog INC →
About the role
About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: • Solve a scaling bottleneck in a critical service • Deploy a new feature to production, progressively rolling it out with feature flags • Investigate and fix a production issue from a service your team owns • Design a way to scale up a service for more traffic • With your team, plan the most important projects to work on next Who You Are: • You have significant experience in one or more languages • You value code simplicity and performance • You can design architecture to solve problems at high scale • You have a BS/MS/PhD in a scientific field or equivalent experience • 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 build, validate, and refine AI-generated output in products • You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs • 6+ years of experience Bonus points: • You've worked at high scale with systems like Redis, Cassandra, Kafka • You wrote your own data pipelines once or twice before • You have a strong background in statistics • You have significant experience with Go, C, or Python • You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how • You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 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. 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. Benefits and Growth: • Product training to develop an in-depth understanding of our product and space • Continuous career development and pathing opportunities for internal mobility • Intra-departmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds • New hire stock equity (RSUs) and employee stock purchase plan • Free global mental health benefit through Spring Health • Generous 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-MF3 #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. The reasonably estimated yearly salary for this role at Datadog is: $192,000 — $240,000 USD 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.