Site Reliability Engineer
IDP01 - DGS-Campus Ph1, India
DXC Technology
DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds.Job Description:
Site Reliability Engineer
Job Location: Bangalore (Work at offfice)
Work Mode: Hybrid
Monitoring as a Platform, a platform that is first critical step towards a self-managed infrastructure, and includes capabilities like real-time monitoring, intelligent networks, self-healing and IoT to achieve improved productivity, organizational agility and improved employee experiences.
Mandatory skills
• Site Reliability Engineering, Analytics, Elastic stack, CICD pipelines, Python
• Deep understanding of monitoring tools like Grafana, ELK
• Knowledge of incident response and troubleshooting complex distributed systems
• Familiarity with infrastructure as code (IaC) tools like Terraform
• Proactive problem-solving to preemptively address infrastructure issues
• Machine learning and ML model deployment skills to integrate ML-based monitoring and alerting
• Understanding of ML frameworks (e.g., TensorFlow, PyTorch) and ML Ops for model reliability in production environments
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Distributed Systems ELK Engineering Grafana Machine Learning Model deployment Pipelines Python PyTorch TensorFlow Terraform
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