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.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 458694 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #LI-NM6