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For Companies At a Glance
- Tasks: Lead the design and implementation of observability solutions using Datadog and other tools.
- Company: Join a dynamic team focused on optimizing monitoring and incident management practices.
- Benefits: Enjoy competitive salary, flexible work arrangements, and professional development opportunities.
- Why this job: Make a real impact by enhancing system visibility and upskilling teams in observability best practices.
- Qualifications: 7+ years in IT operations with 3+ years hands-on experience in Datadog required.
- Other info: Ideal for those passionate about observability and eager to drive continuous improvement.
The predicted salary is between 48000 - 84000 £ per year.
We are seeking a highly skilled Datadog Subject Matter Expert (SME) to design, implement, and optimize observability solutions, focusing on Datadog’s capabilities. The role involves providing technical leadership in observability practices, tool integration, and team upskilling to support effective monitoring, logging, and incident management.
Requirements
Key Responsibilities:
Observability Implementation:
Architect, implement, and optimize observability solutions using Datadog and complementary tools like New Relic, ELK Stack, Kibana, and Grafana.
Design and execute strategies for log aggregation, event management, and performance monitoring to ensure end-to-end visibility of systems.
Framework and Best Practices:
Establish observability frameworks based on the Principle of Least Privilege.
Provide guidance on industry best practices for monitoring, logging, and alerting, ensuring data security and compliance.
Recommend cost-effective solutions to optimize observability tooling.
Team Enablement:
Upskill incumbent teams on Datadog toolchains and observability best practices to enable effective dashboarding, incident resolution, and insights generation.
Conduct workshops and training sessions to build organizational capability in observability practices.
Project Delivery:
Work across various delivery methodologies, including Agile, SAFe, Waterfall, Kanban, and DevOps, to deliver observability solutions.
Roll out observability frameworks and capabilities across large organizations, ensuring seamless integration into existing systems.
Incident Management and Optimization:
Collaborate with cross-functional teams to troubleshoot and resolve issues identified through observability tools.
Drive continuous improvement by monitoring system performance and providing actionable insights for optimization.
7+ years of experience in IT operations, monitoring, and observability.
At least 3+ years of hands-on experience with Datadog in designing, implementing, and managing observability solutions.
Technical Expertise:
Proficiency in Datadog and other observability tools such as New Relic, ELK Stack, Kibana, and Grafana.
Strong knowledge of logging frameworks and event-driven architectures.
Hands-on experience with scripting and automation using Python, Shell, or similar languages.
Tools and Technologies:
Observability Platforms: Datadog, New Relic, ELK Stack, Grafana, Kibana.
CI/CD Tools: Jenkins, Azure DevOps, GitLab.
Cloud Platforms: AWS, Azure, and GCP.
Security Practices: Implementation of the Principle of Least Privilege frameworks.
Frameworks and Methodologies:
Agile, SAFe, Waterfall, Kanban, and DevOps delivery methodologies.
Familiarity with ITIL processes for incident, problem, and event management.
Soft Skills:
Strong problem-solving and analytical capabilities.
Excellent communication skills for collaboration with technical and non-technical stakeholders.
Ability to lead training and knowledge-sharing initiatives.
Education and Certification:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Certifications in Datadog, cloud platforms (AWS, Azure, or GCP), and ITIL (preferred).
Preferred Qualifications:
Experience in large-scale observability rollouts and multi-tool integrations.
Knowledge of cost-optimization techniques for observability tooling.
Background in implementing observability in hybrid cloud environments.
Competitive salary and benefits package.
Opportunities for professional development and certification.
Flexible working arrangements and a collaborative team environment.
Datadog SME (Subject Matter Expert) employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Datadog SME (Subject Matter Expert)
✨Tip Number 1
Familiarize yourself with Datadog's features and capabilities. Dive deep into its documentation and explore case studies to understand how other organizations have successfully implemented observability solutions using Datadog.
✨Tip Number 2
Network with professionals in the observability space, especially those who have experience with Datadog. Join relevant online communities or forums where you can ask questions, share insights, and learn from others' experiences.
✨Tip Number 3
Consider hosting a workshop or a training session on observability best practices. This not only showcases your expertise but also demonstrates your ability to upskill teams, which is a key responsibility of the role.
✨Tip Number 4
Stay updated on industry trends and advancements in observability tools. Follow thought leaders and subscribe to relevant blogs or podcasts to ensure you're aware of the latest best practices and technologies.
We think you need these skills to ace Datadog SME (Subject Matter Expert)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Datadog and other observability tools. Emphasize your technical expertise, especially in designing and implementing observability solutions.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about observability and how your skills align with the company's needs. Mention specific projects where you've successfully implemented observability frameworks.
Showcase Relevant Experience: Detail your hands-on experience with Datadog and other relevant tools like New Relic, ELK Stack, and Grafana. Include examples of how you've optimized observability solutions and trained teams.
Highlight Soft Skills: Don't forget to mention your communication and problem-solving skills. These are crucial for collaborating with both technical and non-technical stakeholders, as well as leading training sessions.
How to prepare for a job interview at VE3
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Datadog and other observability tools like New Relic, ELK Stack, and Grafana. Highlight specific projects where you designed and implemented observability solutions, focusing on the impact of your work.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your analytical capabilities. Prepare examples of how you've troubleshot issues using observability tools and how you provided actionable insights for optimization in past roles.
✨Discuss Team Enablement Strategies
Since the role involves upskilling teams, be ready to share your experiences in conducting workshops or training sessions. Talk about how you’ve empowered teams to effectively use observability tools and best practices.
✨Familiarize Yourself with Delivery Methodologies
The job requires working across various delivery methodologies. Brush up on Agile, SAFe, Waterfall, Kanban, and DevOps principles, and be prepared to discuss how you've applied these methodologies in your previous projects.
