Site Reliability Engineer (AI/ML Expertise) Jobs in Bangalore | SAP BTP Careers

SAP is hiring a Site Reliability Engineer (SRE) with AI/ML expertise to strengthen reliability, observability, and automation for SAP BTP and AI-driven platforms. This role is ideal for professionals experienced in SRE principles, API management, Linux systems, and AI/ML operations, who want to work on large-scale, mission-critical cloud services.

If you are passionate about reliability engineering, DevOps, AI/ML operations, and cloud-native platforms, this opportunity at SAP Bangalore is for you.


πŸ”Ή Job Details

  • Job Title: Site Reliability Engineer (AI/ML Expertise) – BTP
  • Company: SAP
  • Work Area: Software-Development Operations
  • Career Status: Professional
  • Employment Type: Regular Full Time
  • Experience Required: 5+ Years
  • Location: Bangalore, Karnataka, India
  • Expected Travel: As required
  • Job Level: T2
  • Posted On: SAP Careers

πŸ‘‰ Apply Now: click here


πŸ”Ή Role Overview

As a Site Reliability Engineer (AI/ML Expertise), you will focus on reliability engineering, observability, automation, and operational excellence for SAP-centric platforms and AI-powered services. You will work closely with platform, DevOps, AI/ML, and API teams to ensure high availability, performance, and compliance across hybrid cloud environments.


πŸ”Ή Key Responsibilities

πŸ”Έ Reliability Engineering

  • Define and implement SLIs, SLOs, and SLAs for SAP applications
  • Apply error budgets to guide release and reliability decisions
  • Perform capacity planning, performance tuning, and chaos engineering

πŸ”Έ Observability & Incident Management

  • Build end-to-end observability using metrics, logs, and traces
  • Implement Dynatrace for application and infrastructure monitoring
  • Automate alerting, runbooks, and incident response workflows
  • Drive postmortems, root cause analysis, and continuous improvement

πŸ”Έ AI/ML Operations

  • Deploy, monitor, and manage ML models in production
  • Implement drift detection, rollback strategies, and model retraining pipelines
  • Ensure model reliability, fairness, and compliance
  • Integrate ML workflows with SAP BTP AI services

πŸ”Έ API Management & Integration

  • Manage and secure APIs using SAP Integration Suite, SAP API Management, or Google Apigee
  • Implement API governance, traffic management, and monitoring
  • Collaborate with teams to promote API-first architecture

πŸ”Έ DevOps & Automation

  • Support CI/CD pipelines for SAP and non-SAP workloads
  • Implement Infrastructure as Code (IaC)
  • Assist with containerization and Kubernetes operations

πŸ”Έ Security & Compliance

  • Embed security controls into operational workflows
  • Ensure compliance with SAP security standards and data privacy requirements

πŸ”Ή Required Skills & Qualifications

  • Bachelor’s or Master’s degree in a relevant field
  • 5+ years of experience in SRE / Platform Reliability roles
  • Hands-on experience with SAP Integration Suite, SAP API Management, or Google Apigee
  • Strong proficiency in Red Hat Linux and Shell/Bash scripting
  • Exposure to DevOps practices (CI/CD, IaC, containers)

πŸ”Ή Core Technical Skills

  • SRE: SLIs, SLOs, error budgets, chaos engineering
  • Observability: Dynatrace, Prometheus, Grafana, ELK/EFK, OpenTelemetry
  • Incident Management: Jira, ServiceNow, RCA preparation
  • Cloud: AWS, Azure, Google Cloud Platform
  • Automation & Infra: Kubernetes, Helm, Terraform, Argo CD, Flux
  • AI/ML Ops: MLflow, Kubeflow, Airflow, Evidently AI, WhyLabs
  • Containers & CI/CD: Docker, Kubernetes, GitHub Actions, Jenkins, Azure DevOps
  • SAP Exposure: SAP BTP, Cloud Foundry, SAP AI Core, SAP HANA ML
  • Programming: Python, Shell/Bash, Go or Java

πŸ”Ή Key Performance Indicators (KPIs)

  • SLO achievement and MTTR reduction
  • Incident frequency and resolution efficiency
  • API reliability and performance metrics
  • AI/ML model reliability and drift detection metrics

πŸ”Ή Why Join SAP?

  • Work on AI-driven, large-scale SAP cloud platforms
  • Shape reliability engineering and observability strategies
  • Exposure to hybrid and multi-cloud environments
  • Collaborative culture focused on innovation and operational excellence
  • Continuous learning, skill growth, and global career opportunities

⚠️ Disclaimer

This job post is shared for informational purposes only. We are not affiliated with SAP’s hiring process. All hiring decisions, eligibility criteria, and selection processes are handled solely by SAP. Applicants should apply only through the official SAP Careers website.

Sandesh Gowda

Sandesh Gowda

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