Datadog developer

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions.

The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic value.

• Job Title: Datadog developer
• Location: PAN INDIA
• Experience: 6 To 10 Years
• Job Type: Contract to hire.
• Notice Period: Immediate joiners.
• Mandatory Skills: Datadog, Kubernetes, Docker

Job description

• Must have skill:

1. Datadog
2. Kubernetes
3. Docker

• You will be responsible for designing, implementing, and managing Datadog solution, ensuring seamless integration with Kubernetes, cloud providers, and CI/CD tools to achieve traceability and observability.
• Key Responsibilities:
• Creating Customer centric Use cases and providing consulting for custom metrics, alerts, log monitoring, analysis and visualizations in Datadog.
• Set up and configure Datadog for monitoring infrastructure, applications, and logs via automation.
• Develop a consolidated view for transaction health and include synthetic health checks for APIs.
• Analyze and correlate data across various services for troubleshooting and optimization. Implement AIOps for event management by centralizing and correlating events, enabling anomaly detection, and predictive incident notifications. Enhance proactive issue resolution and minimize downtime using advanced AI/ML tools, including LLMs for event clustering.
• Technical Skills:
• Minimum 4 years of hands-on experience with Datadog, including integration with Kubernetes, cloud providers, and CI/CD tools, with an overall experience of 6+ years Proficiency in Datadog’s Service Map, Service Catalog, and other observability tools.
• Strong understanding of cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Experience with CI/CD pipelines and tools such as Jenkins, Git. Knowledge of application development frameworks and languages (e.g., Java, .NET, Node.js).
• Familiarity with scripting and automation (e.g., Python, Bash).
• Proven track record of setting up and managing data source integrations.
• Preferred Qualifications:
• Datadog Foundation certification. Experience with other monitoring tools. Site Reliability Engineering (SRE) experience, focusing on high availability, performance, and scalability of systems.