Site Reliability Engineer (AI/ML)
Seoul, KR, 06578
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!
PURPOSE AND OBJECTIVES
The SAP HANA Database & Analytics organization is a global organization dedicated on delivering database & analytics technology and solutions such as SAP HANA Database & SAP Analytics Cloud that addresses customers' unique and competitive business requirements.
In SAP HANA Database & Analytics Cross-Engineering organization, we are working on ensuring the entire software development cycle including development process and build & test infrastructure for the continuous integration and continuous delivery of software products developed by global development teams in SAP HANA Database & Analytics. For instance, we are developing a massive scalable job execution platform in Cloud which is to be used as a core of our state-of-the-art software CI/CD infrastructure for SAP HANA & Analytics products.
EXPECTATIONS AND TASKS
As a Developer you will be working in the global HANA QA Infrastructure team in SAP HANA & Analytics Cross-Engineering together with a group of exceptionally talented and motivated colleagues.You will be part of SRE (Site Reliability Engineer) team and will be responsible for maintaining and implementing observability stack of HANA QA infrastructure to help service operations and support teams.
Roles & Responsibilities for SRE:
- Implement and operate observability stack
- Operate HANA QA Infrastructure services
- Enhance operational qualities of services by developing automatic serivce operation pipeline with Artificial Intelligence
- Handle incidents and be On-call to keep services reliable and available
We are looking for Site Reliability Engineer who are committed to a technology career path. Your set of application documents should contain a cover letter and tabular CV, copies of the obtained degrees and references (if available).
EDUCATION AND QUALIFICATIONS/ SKILLS AND COMPETENCIES
We require that you meet the core competencies and skills listed below.
Minimum:
- Bachelor’s degree or equivalent in Computer Science, Computer Engineering, related field or related technical discipline
- 3+ years of experience in software development
- Python programming and SQL skills
- Experience in observability stack such as RDBMS, OpenSearch, Grafana, or so
- Linux experience and bash scripting skills
- Basic understanding about Machine Learning and Artificial Intelligence
- Excellent communication skills in English
Preferred:
- 1+ years' experience as SRE/DevOps Engineer
- Experience in Docker and container orchestration technologies (Mesos, Kubernetes)
- Experience in Cloud technologies (AWS/GCP/Azure)
- Hands-on experience in large-scale databases
- Experience in Web Server programming
- Advanced Python debugging skills
- Experience with IaC (Terraform, Ansible)
- Experience in monitoring and analyzing infrastructure issues
- Experience in implementing and operating an observability stack (Grafana)
We build breakthroughs together
SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.
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.
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 SAP Referral Policy. 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: 392995 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible AWS Azure CI/CD Computer Science DevOps Docker Engineering GCP Grafana Kubernetes Linux Machine Learning OpenSearch Python RDBMS SQL Terraform
Perks/benefits: Career development Flex hours
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