Software Engineer

About Datadog: Datadog is a monitoring, tracing, and log management platform that helps organizations build, launch, and operate applications and infrastructure in the cloud age. They build proprietary systems like their Husky event store and distributed tracing tools, handling trillions of events daily. Their mission is to provide observability and security solutions for modern applications, with a focus on innovation, reliability, and customer success. The company offers competitive salaries, equity options, and a comprehensive benefits package including health insurance, unlimited PTO, and remote-first flexibility. They foster a collaborative environment with opportunities for professional growth and learning.

About The Role: We are seeking a Software Engineer to join our talented team. You will work on cutting-edge technologies, building systems that process massive amounts of data from global customers. This role involves designing and implementing features for our observability and security platforms, with a focus on scalability, performance, and reliability. You will collaborate with experienced engineers and product managers to solve complex technical challenges and deliver impactful solutions.

Key Responsibilities:

• Design, develop, and maintain scalable systems that handle high-throughput data processing
• Optimize performance and reliability of existing infrastructure and applications
• Collaborate with cross-functional teams to define and implement new features
• Contribute to code reviews and ensure high-quality software delivery
• Troubleshoot and resolve technical issues in production environments
• Stay current with industry trends and apply new technologies to our systems
• Mentor junior engineers and share knowledge across teams

Required Skills and Qualifications:

• Proven experience in software development with languages like Go, Java, Python, or TypeScript
• Deep understanding of distributed systems and network protocols
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Strong knowledge of database systems and data modeling
• Familiarity with monitoring, logging, and observability tools
• Excellent problem-solving skills and ability to analyze complex systems
• Bachelor’s or Master’s degree in Computer Science or a related field
• 3+ years of professional software engineering experience
• Experience with event streaming platforms (Kafka, Pulsar, etc.)

Ideal Candidate: The ideal candidate will have a passion for building scalable systems and a track record of success in high-performance environments. You should be comfortable working in a fast-paced startup-like culture with ambiguous requirements. Experience with observability tools, time-series databases, or distributed tracing systems is highly valued. You should be able to balance short-term deliverables with long-term architectural vision and possess strong communication skills to collaborate effectively with distributed teams.

Compensation: The estimated pay range for this role is $150,000 - $200,000, with potential for bonus and equity. This role is eligible for our comprehensive benefits package including health, dental, and vision insurance, retirement matching, parental leave, and professional development opportunities.