What You'll Do
- Analyze and harden existing infrastructure, monitoring capabilities, application coding, and DevOps processes.
- Analyze the existing infrastructure and provide expertise on containerization and migration to Kubernetes (K8S).
- Work on infrastructure as code and ensure teams have the environments, deployment pipelines, and tools necessary to be efficient, e.g., automate processes for environment setup, deployments, monitoring and debugging, etc.
- Implement monitoring and code analysis capabilities for microservices.
- Identify and address security and performance issues. Maintain a strong focus on quality and customer satisfaction.
What You Bring
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline that provides a solid background in software development.
- Experience with cloud tools such as Kubernetes, Docker, Jenkins, Ansible, Kibana, Grafana.
- Knowledge of Dynatrace or any APM tool would be a big plus.
- Strong knowledge of DevOps automation concepts, practices and procedures.
- Good experience with microservices, cloud services, and CI/CD concepts at an enterprise scale.
- Experience in writing software in languages such as Java, Python, Go, Shell Script (5 years or more)
- Fluency both written and spoken in English
Tech You Bring
- Tooling expertise – APM tools like Dynatrace, Splunk, Catchpoint, Elastic CICD Tools - Jenkins, ArgoCD
- Good understanding of Public Cloud - Azure, GCP
- Good understanding of Microservices and Kubernetes
Tech You'll Learn
- Developing Infrastructure-as-Code and automation pipelines using Terraform and CICD tools like Jenkins.
- Setting up end-to-end observability for Enterprise application deployed in multiple data centers across the globe.
- Work with vendor and central teams to architect the tooling deployment following best practices.
- Release management and maintenance for all observability tools.
Meet Your Team
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Strengthening the connection between HR and operations by bringing together core HR and payroll, talent management, learning, people analytics, and employee experience management with other enterprise applications and processes, SAP SuccessFactors Human Experience Management Suite (SAP SF HXM) unit enables businesses to thrive in the new normal.
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You would be joining SAP SuccessFactors Cloud Technology Engineering team driving end-to-end observability of the products fragmented across different data centers.
Benefits Extracted with AI
- Highly collaborative environment
- Focus on learning and development
- Variety of benefit options
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