Senior Site Reliability Engineer – SAP Basis and Cloud Operations

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in computer science or a related field, or equivalent experience, along with over 8 years of experience in Site Reliability Engineering, DevOps, or SAP Basis roles with a focus on system reliability and performance. Strong scripting skills in Python, Bash, or similar languages for automation and tooling are required, as is a good understanding and hands-on experience with Linux or other Unix operating systems. Familiarity with CI/CD practices and deployment automation, strong hands-on experience with SAP systems (S/4HANA, HANA DB, NetWeaver, SAP BTP), and deep understanding of SAP NetWeaver, transports, batch processing, and interface architecture are essential. Proficiency in SAP performance tuning, including HANA memory management, SQL plan analysis, and ABAP runtime optimization, along with hands-on experience in automation, configuration, and deployment on AWS, including EC2, CloudWatch, CloudFormation, and security groups, are necessary. Knowledge of DevOps practices such as Continuous Integration and Deployment is also required.

Responsibilities

The Senior Site Reliability Engineer will perform system performance tuning for S/4HANA, BW/4HANA, and SAP BTP across SAP application servers, HANA databases, and the underlying infrastructure. They will develop and enhance observability capabilities within the SAP landscape, focusing on actionable operational metrics and insights, and define, monitor, and continuously improve SLIs and SLOs to ensure SAP service reliability and customer satisfaction. Responsibilities include automating operational tasks, monitoring, and configuration using Python, Shell scripting, and tools like Ansible, and collaborating with SAP Basis, infrastructure, and application teams to troubleshoot and resolve complex system issues. The role also involves conducting root cause analysis and leading post-incident reviews to drive continuous improvement and prevent recurrence, as well as implementing and enforcing policies and procedures to ensure compliance and operational integrity, and continuously tuning SAP and database performance by identifying opportunities for improvement and implementing best practices.

Skills

SAP Basis

SAP BTP

S/4HANA

BW/4HANA

HANA databases

System performance tuning

Observability

SLIs

SLOs

Python

Shell scripting

Ansible

Troubleshooting

Root cause analysis

Post-incident reviews

Site Reliability Engineering

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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