*bring out your best*
*global cloud infrastructure & delivery (gcid)* develops and delivers services for cloud infrastructure and cloud operations to sap lines of business (lob) and through them, our external customers. We support lobs and their customers' cloud adoption journey through four hyperscaler public clouds and sap's infrastructure-as-a-service.
*service reliability engineering (sre)* is a team within the gcid organization. It contributes to ensure the reliability and availability of sap cloud services (internal or external) by developing and enhancing observability tools that help to either prevent or isolate an incident. Sre’s proactively help automate and optimize processes. The sre team runs globally in a follow the sun model.
We are looking for an *associate aiops engineer (sre)* focusing on both soft and physical layers of our global operations.
*about the role*:
you will join a global & multidisciplinary sre team of devops engineers, contributing to the development of ai solutions that power a stack of diverse observability services using machine learning and large language models. This role involves reshaping how we manage alerts, metrics, and logs by introducing deep learning and nlp to enhance reliability services. You will also support troubleshooting during major incidents related to our global cloud infrastructure, ensuring excellence in triage and resolution. You will help the team to reduce critical kpi's around mttd/mttr, signal to noise ratio, and other relevant metrics using these advanced methods.
*expectations and tasks*:
- collaborate with engineering and product management following agile methodologies such as scrum.
- ability to prioritize and deliver high-quality developments under time constraints.
- ensure smooth operations and maximize uptime of the services we are responsible for.
- participate in on-call rotational coverage, including weekends and holidays, with compensation as per local policies. Global follow the sun model with local daytime coverage.
- share knowledge across the team.
- work on data analysis & generation.
- support ai research & development projects.
- train and fine-tune ai models.
*required skills*:
- fast adoption of cutting-edge technologies.
- advanced analytical and problem-solving mindset.
- strong team player with excellent communication skills.
- self-starter who acts with a sense of urgency to quickly move issues forward efficiently and effectively.
- fluent in spoken & written english.
*required experience*:
- development:
- 1+ years of professional development and/or educational equivalence.
- must be able to demonstrate knowledge.
- proficiency in python & javascript as programming language.
- knowledge in rest api using flask or fastapi or equivalent.
- devops:
- basic understanding of ci/cd pipelines
- hands-on practice with docker containers & kubernetes.
- work with public cloud environments such as gcp/aws/azure.
- familiarity with json, yaml, & github.
- knowledgeable in monitoring and performance management tools.
- artificial intelligence:
- knowledgeable in at least one ml frameworks like pytorch, tensorflow, or similar.
- basic understanding of large language models and genai.
- basic understanding of machine learning supervised/unsupervised models.
- good understanding of data structures & data patterns.
- education:
- bachelor's or equivalent education in software engineering, computer science, or a related field.
*preferred experience*:
- elasticsearch, splunk, or similar.
- some experience in web development frameworks.
- terraform, helmchart, ansible, or similar tools.
- kubeflow, mlflow, dataflow, or similar technologies.
- understanding of enterprise/service provider data center architecture.
*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 and more equitable world.
*eoe aa m/f/vet/disability*:
qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Requisition id: 393777 | work area: software-development operations | expected travel: 0 - 10% | career status: graduate | employment type: regular full time | additional locations: #li-hybrid.