Datadog is a leading cloud-monitoring platform with a mission to make monitoring and observability simple and accessible to any engineering team. Founded in 2010, Datadog provides a single platform to aggregate metrics, traces, and logs from cloud services and on-premises infrastructure. Teams monitor and troubleshoot their distributed applications with observability tools integrated with their modern infrastructure.
Datadog is especially powerful for DevOps teams, offering a comprehensive view into the health of their applications and infrastructures. With its expansive library of powerful integrations, the platform surfaces key performance indicators across the entire application stack so teams can move faster and stay secure. Teams can quickly access a single source of truth to manage risk, spot trends, and debug complex performance issues in real-time across their environments.
In addition to traditional monitoring and alerting solutions, Datadog’s platform unlocks powerful exploration capabilities. With its intuitive search and powerful query language teams can quickly build visualizations and navigate through massive datasets in the blink of an eye. Datadog’s distributed tracing system, offering visibility into distributed systems, helps developers simplify the integration of applications and microservices to quickly optimize performance and reduce variance.
For those focused on coding, programming, application development, or IT, Datadog provides an ideal platform to accelerate large-scale development projects. Its technology is simple to use and customers report a rapid return on their investment. Moreover, developers are supported around the clock by the company’s teams of world-wide expert engineers.
In short, Datadog is the leader in cloud-monitoring for the modern tech stack. Through its monitoring solutions and intuitive tools it enables developers to unleash the full potential of cloud applications and infrastructure.
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Software Engineer
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $120,000 - $150,000
Description: This position will be responsible for developing, testing, and maintain complex software components for Datadog’s enterprise-level software systems. The software engineer will need to be comfortable with multiple programming languages, platforms, system architectures, hardware environments, databases and scripting. They will work closely with the organization’s tech, product, and strategy teams to ensure the development process runs efficiently, from project initiation and design to production testing.
Qualifications / Requirements: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Proven experience designing, developing and deploying complex software systems for enterprise-level software systems. Ability to learn and use various programming languages, platforms, and databases with ease. Excellent problem solving, time management, and communication skills.
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $100,000 - $125,000
Description: This position is responsible for developing and deploying innovative data-driven methods to improve Datadog’s products and services. They must be able to find and interpret complex patterns in data, and have the ability to build and deploy models to generate insights and build features. The Data Scientist will need to collaborate with and effectively communicate data-driven solutions to members of the organization, be comfortable with data processing and query technologies, and show a strong practical understanding of statistical models.
Qualifications / Requirements: Masters or PhD in Data Science, Computer Science, Statistics or related field. Proven track record of using data to draw insights and build data-driven solutions. In-depth knowledge of machine learning, model development and deployment, data processing techniques, and statistical inference. Excellent problem solving and communication skills.
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $130,000 - $170,000
Description: This position will work to design and implement the data architecture for the organization’s software systems and databases, as well as developing and maintaining the transitions between the software and database layers. The Data Architect will need to design and develop data models, database optimization strategies, data storage and retrieval, and scalability implementation. They will also need to advise on data integration with other external systems and databases.
Qualifications / Requirements: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Proven knowledge of database principles, relational and dimensional data design, database security, and database architecture. Proven experience designing, developing and deploying database schemas. Excellent problem solving and communication skills.
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $135,000 - $175,000
Description: This position is responsible for ensuring the security of the organization’s systems and networks, protecting data from attack and unauthorized access. The Security Engineer will need to create and maintain policies and procedures to ensure the security environment, test and recommend security measures, develop and deploy security systems and be proficient in a wide range of security technologies. They will work with the organization’s tech, product, and strategy teams to ensure the security of the system architectures.
Qualifications / Requirements: Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, or a related field. Proven experience in security architecture and system design. Strong knowledge and understanding of security technologies, including firewalls, antivirus, intrusion detection systems, encryption technologies and network security best practices. Excellent problem solving and communication skills.
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $90,000 - $110,000
Description: This position is responsible for planning, designing, and maintaining the organization’s computer networks and systems. The engineer will need to develop and deploy LAN/WAN designs, configure and test hardware, install and configure network operating systems, and troubleshoot and resolve network problems. They will also need to design efficient and secure networks that support the organization’s software programs, systems and applications.
Qualifications / Requirements: Bachelor’s degree in Computer Science, Software Engineering, Network Engineering, or a related field. Proven experience planning, designing, and maintaining computer networks and systems. Strong working knowledge of LAN/WAN technologies, networking protocols, and networking topologies. Excellent problem solving and communication skills.
Average Work Hours (weekly unless noted): 35-40 hours/week
Average Salary (yearly in dollars unless noted): $45,000 - $60,000
Description: This position will provide day-to-day technical and application support services to the organization’s customers. They will need to assist with the installation of software and hardware, troubleshoot problems and diagnose software issues, document and report customer service complaints, and escalate issues to the appropriate teams. The Technical Support Engineer must be comfortable working with customers from a wide range of backgrounds, both in person and over the phone.
Qualifications / Requirements: Bachelor’s degree in Computer Science, or a related field. Proven experience providing technical and application support services. Good understanding of software and hardware installation and troubleshooting techniques. Excellent customer service and communication skills.
Datadog is a great place to work. As a programmer or IT guy, the tools and software we get to use are cutting-edge, and our development environment is top-notch. The company also provides great training and you can attend an extensive array of seminars in both programming and design. I love the camaraderie of the team, and the workplace has a great energy and culture.
Ben D..
Review Rating:
4.7/5
4.7
Datadog is my go to for anything related to software development and IT. The team here has a passion for innovation, which makes for a great environment to work in. I love the collaboration between departments, and often the solutions we find to our problems come from working closer together. Plus the support from upper management has helped me grow and become more proficient within my role.
Jeff S..
Review Rating:
4.9/5
4.9
Datadog is an excellent place to work. The employees know their stuff, are always willing to help with solutions, and the workplace is very friendly and open. Having worked as both a programmer and a designer here, I can attest to the variety and quality of the projects I get to work on. Plus the benefits are one of the best.
Evan Y..
Review Rating:
4.8/5
4.8
Having worked at Datadog for the past few years, I can confidently say it’s a great company. Everyone is passionate about their work, the technologies are up to date, and we can always count on our leadership to make sure the job is done on time and to the highest standard. I feel supported and have been able to learn a great deal throughout my time here.
Liz R..
Review Rating:
4.4/5
4.4
Datadog is an amazing company to work for. Everyone is capable, helpful and dependable. I've had the opportunity to work on an incredible variety of projects, from designing new websites and developing software, to configuring software systems and working with highly complex technologies. Plus, the company culture is outstanding.
Frequently Asked Questions
What qualifications are necessary for a Technical Support Role at Datadog?
Candidates must have 5+ years of technical support experience, a Bachelor’s degree in computer science or a related field, and the ability to work efficiently and effectively in a fast paced environment.
What is the interview process for a Development Internship at Datadog?
Candidates for an Internship at Datadog are required to complete a few technical challenges, a telephone or skype interview, as well as an on-site or remote in-person interview.
What is the typical workflow for a Project Lead at Datadog?
As a Project Lead at Datadog, you will consult with stakeholders to define product and project requirements, display leadership to direct the work of team members and monitor their progress, and coordinate the delivery, testing, and launch of new products and services.
What experience is needed to work as a Solutions Architect at Datadog?
Qualified Solutions Architects must have experience developing technical solutions, expertise in working with customers to understand business problems and requirements, experience with data platform migration and implementation, and experience in infrastructure-as-code software engineering.
What languages are required for an Engineering Role at Datadog?
To work in an engineering role at Datadog, candidates should demonstrate expertise in at least one of the following programming languages: Python, Go, Java, or JavaScript.
Locations: New York, Berlin, San Francisco, London, Tokyo, Sydney, Paris, Singapore, Amsterdam
Career Paths: Product Manager, Engineering Manager, Solutions Architect, Quality Assurance Engineer, Data Scientist, Technical Account Manager, Customer Success Manager, Software Developer, Sales Engineer, Site Reliability Engineer.
Datadog is a great place to work. As a programmer or IT guy, the tools and software we get to use are cutting-edge, and our development environment is top-notch. The company also provides great training and you can attend an extensive array of seminars in both programming and design. I love the camaraderie of the team, and the workplace has a great energy and culture.
What qualifications are necessary for a Technical Support Role at Datadog?
Candidates must have 5+ years of technical support experience, a Bachelor’s degree in computer science or a related field, and the ability to work efficiently and effectively in a fast paced environment.
What is the interview process for a Development Internship at Datadog?
Candidates for an Internship at Datadog are required to complete a few technical challenges, a telephone or skype interview, as well as an on-site or remote in-person interview.
