Similar Jobs at Datadog
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.
The team:
The Windows Products team at Datadog, part of the Networks & Endpoints group, is dedicated to delivering a best-in-class observability experience with the Datadog Agent for both Windows and macOS, while establishing them as first-class platforms across all Datadog products, such as Network Performance Monitoring (NPM), Universal Service Monitoring (USM), and a range of emerging and next-generation observability tools. We advocate for Windows and macOS users; whether managing servers, endpoints, or hybrid environments; by developing innovative observability, monitoring, and security collection capabilities to support the key services and technologies our customers rely on. We work collaboratively across the company to expand these offerings. Our mission is to provide robust, out-of-the-box observability solutions by enriching Datadog products tailored for Windows and macOS; ensuring feature parity, deep visibility, and operational excellence across every layer of the stack; without requiring the deployment of additional agents or libraries.
What You’ll Do:
As a Senior Software Engineer and a Mac OS Specialist in the Windows/Mac Products team at Datadog, you’ll design and build cutting-edge features that bring deep observability and performance insights to Datadog users on macOS. We’re looking for an engineer with strong macOS internals and system development expertise to help shape the future of observability across Apple endpoints; from individual devices to large-scale enterprise environments.You’ll work with core macOS technologies to build secure and performant monitoring capabilities deeply integrated with the operating system, aligning with Apple’s evolving platform architecture.
- Design, implement, and share ownership of macOS Agent-based integrations to collect data for system, network, and security monitoring
- Leverage macOS native system technologies to design and build comprehensive observability features integrated with the macOS platform; including System Extensions, Endpoint Security Framework, Network Extensions, Unified Logging, and launch daemons;
- Own new feature development end-to-end from ideation to implementation
- Solve unique challenges at the intersection of system programming, distributed telemetry, and endpoint observability & security
- Investigate performance bottlenecks and write optimized resource-efficient software
- Be a driving force in product decisions and plan the most important projects to work on next with your team
- Mentor other engineers and drive technical direction across macOS initiatives
Who You Are:
- You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth
- You’ve experience building and shipping software that runs on macOS
- You’ve hands on experience with native macOS APIs; such as EndpointSecurity, launchd, mach, sysctl, os_log, or System/Network Extensions; and have designed systems that comply with Apple’s platform requirements
- You have strong macOS internals knowledge, with a thorough understanding of system architecture and runtime behavior
- You have significant experience in one or more languages: C/C++, Objective C and/or Swift
- You have proven ability to own and deliver features in a fast-paced, high-growth environment to build new products
- You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
Bonus Points:
- You have experience developing cross-platform software, including some experience with native SDKs for Windows
- You have experience with Golang
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 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.
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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.
Datadog New York, New York, USA Office
We are located in the New York Times building and five-minute walk away from Times Square. The 42 St Port Authority Bus Terminal is right across the street, providing a highly accessible transportation network.
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