Site Reliability Engineer - SAP Business AI Platform (BAIP)

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

Meet the team

The CF Backing Services SRE team is part of the SAP Business AI Platform organization, responsible for the operational excellence and reliability of business-critical platform services used by thousands of SAP customers globally. Our scope covers services running on both Cloud Foundry and Kubernetes across production landscapes worldwide.

We apply SRE principles in practice - not as a philosophy, but as daily engineering work. We own SLOs, we run Chaos Days, we automate toil, and we treat reliability as a feature. We also embrace AI-first tooling as a core part of how we work - from AI-assisted incident response to building and contributing to our own internal SRE tooling.

We are looking for an engineer ready to grow into a well-rounded SRE - someone who is curious, technically solid, and motivated to take real ownership of the services they support.

What you'll build

Live Site Operations

• You'll participate in hotline and on-call rotation, responding to incidents and SLO violations across supported services
• You'll investigate production issues with deep technical analysis - log analysis, distributed tracing, Kubernetes debugging, service dependency mapping
• You'll contribute to RCA creation and post-incident follow-up, including tracking and closing action items
• You'll participate in Chaos Days and fire drills to proactively test service resilience

Reliability Engineering

• You'll monitor service behavior through SLOs, SLIs, and the 4 Golden Signals - and act on what you find
• You'll identify and drive improvements to alerting quality - reduce noise, increase signal, eliminate false positives
• You'll contribute to the team's automation and tooling - scripts, Recommended Actions, runbooks, and internal tools that reduce toil
• You'll support the onboarding of new services into SRE scope - documentation, monitoring setup, KT sessions, access verification

Collaboration and Growth

• You'll work closely with development teams on reliability topics, improvements, and incident learnings
• You'll contribute to knowledge sharing within the team - KT sessions, Show&Tells, documentation
• You'll use and contribute to AI tooling actively - AI-assisted workflows and team-built tools
• You'll participate in compliance activities and follow internal processes and procedures

What We Work With

This is not an exhaustive list - it reflects our actual daily environment:

Platform and Infrastructure

• Kubernetes (K8s), Helm, Istio - tools for deployment, traffic management, and debugging
• ArgoCD - GitOps-based continuous delivery for Kubernetes workloads
• Cloud Foundry - active stack hosting business-critical platform services
• AWS, GCP, Azure - multi-cloud landscape coverage
• Terraform, Concourse, Jenkins - infrastructure as code and CI/CD pipelines
• Vault, Gardener, Kyma
• Linux - primary operating environment across all infrastructure

Observability

• Dynatrace - primary observability platform for metrics, traces, and alerting
• ELK Stack (Elasticsearch, Logstash, Kibana) - log aggregation, search, and analysis
• Prometheus, Grafana - supplementary monitoring
• Custom alerting layer for SLO violation tracking

Development and Automation

• Python, Bash - primary scripting languages for automation and tooling
• GitHub, Jira - version control and task management

AI Tooling

• Joule - SAP internal AI assistant integrated into daily workflows
• Claude Code, GitHub Copilot - standardized AI-first development workflow
• Perplexity - used for research and technical investigation
• Team-built AI skills, workflows, and tools distributed through our internal AI marketplace

What you bring

Must have:

• Solid Linux/Unix foundation - comfortable in a terminal, understanding of processes, file systems, and system administration
• Networking fundamentals - TCP/IP, DNS, HTTP/S, load balancing, basic network troubleshooting
• Genuine curiosity about how distributed systems fail and how to make them more resilient
• Ability to communicate clearly and precisely - in incidents, in writing, in cross-team discussions
• Fluency in English - our team and stakeholders are international
• A team-first attitude - we share on-call responsibility and we help each other

Strong advantage:

• Experience or solid knowledge of Kubernetes - deploying, debugging, understanding what goes wrong
• Familiarity with GitOps and tools like ArgoCD
• Hands-on experience with Python or Bash scripting
• Experience with log analysis using ELK or similar stacks
• Familiarity with observability concepts - SLOs, SLIs, alerting, distributed tracing
• Experience with cloud platforms (AWS, GCP, or Azure)
• Understanding of CI/CD pipelines and infrastructure as code
• Experience with databases - particularly PostgreSQL
• Experience with incident management - on-call rotations, incident response workflows, and RCA processes
• Strong troubleshooting and problem-solving skills - ability to analyze symptoms, diagnose root causes, and implement effective solutions in distributed systems

Mindset we value more than any specific skill:

• You ask "why is this breaking?" not just "how do I close this ticket?"
• You look for patterns across incidents, not just fixing individual issues
• You automate things that repeat - you do not accept permanent toil
• You use AI tools actively - you see them as a multiplier, not a threat
• You flag problems early and communicate proactively - no surprises

Where you belong

• Real ownership of business-critical platform services from day one - you will not be a ticket processor
• A team that invests in knowledge sharing - KT sessions, mentoring, and structured onboarding
• On-call rotation with special compensation
• Active AI tooling adoption - you will be working with some of the most advanced AI-assisted SRE workflows in the organization
• An international, collaborative environment with direct access to the development teams building the services you support
• Clear career progression path with regular feedback cycles and transparent promotion criteria

Education

BSc in Computer Science, Engineering, or a related field - or equivalent practical experience. We value demonstrated capability over academic credentials.

We know that strong candidates often do not apply because they feel they do not meet every requirement. If you are curious, technically grounded, and genuinely motivated to learn - apply. We have seen people grow into excellent SREs from very different starting points.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.