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VE3

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1.0

based on 1 Review

10 VE3 Jobs

Datadog SME (Subject Matter Expert)

VE3

1.0

based on 1 Review

5-7 years

Pune

1 vacancy

Datadog SME (Subject Matter Expert)

VE3

posted 2mon ago

Job Role Insights

Key skills for the job

Python Automation Testing Information Technology Analytical Chemistry GCP CCTV Monitoring

+ 3 more

Job Description

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Datadog Subject Matter Expert (SME)

About Company-

VE3 is a global technology company committed to delivering innovative digital solutions that help organizations unlock their full potential. We assist organizations in optimizing operations, enhancing customer experiences, unlocking data-driven insights, and fostering agile strategies. Our focus on delivering cutting-edge software solutions and developing state-of-the-art mechanisms ensures that we meet the unique needs of our clients across various industries. We are a forward-thinking company, committed to helping organisations navigate and thrive in the digital era through innovative and sustainable technology solutions.

Position Overview:

We are seeking a highly skilled Datadog Subject Matter Expert (SME) to design, implement, and optimize observability solutions, focusing on Datadogs 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:

1)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.

2)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.

3)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.

4)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.

5)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.

6)Required Skills and Qualifications:

Experience Level:

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.

7)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.

8)Education and Certification:

Bachelordegree in Computer Science, Information Technology, or a related field.

Certifications in Datadog, cloud platforms (AWS, Azure, or GCP), and ITIL (preferred).

10)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.

Benefits

Competitive salary and benefits package.

Opportunities for professional development and certification.

Flexible working arrangements and a collaborative team environment.

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