Associate AIOps Engineer (SRE)
SAP
- San Pedro Garza García, N.L.
- Permanente
- Tiempo completo
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.
- 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.
- 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.
- 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.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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 . Specific conditions may apply for roles in Vocational Training.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.
Successful candidates might be required to undergo a background verification with an external vendor.Requisition ID: 393777 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.