SAP NS2 Landscape Automation Expert

SAP•Herndon, VA

28d•$159,800 - $332,300•Hybrid

About The Position

We are seeking a highly hands-on Automation Architect to help define and execute our vision for end-to-end automation and increasingly autonomous operations across the SAP Basis R&R. We are looking for a technology professional with a strong software development and engineering background who naturally thinks in terms of workflows, automation, APIs, orchestration, event-driven architectures, and AI-enabled operations. The successful candidate will identify operational processes that are manual, repetitive, or error-prone and transform them into scalable, reusable, automated, and AI-enabled solutions. The individual will work closely with SAP operations, development, infrastructure and security to turn ideas into production-ready solutions. The overall objective is to move SAP operations from Manual to Scripted to Automated to AI-Assisted to Autonomous.

Requirements

Must be a US Citizen; this position requires access to customer data.
Strong professional experience in software development or software engineering.
Strong proficiency in Python or a comparable modern programming language.
Experience developing APIs, services, integrations, or automation platforms.
Strong understanding of software engineering principles and design patterns.
Experience with Git, CI/CD, testing, and production software development.
Ability to design maintainable, scalable, and reusable software solutions.
Strong hands-on experience with Ansible.
Experience with Python-based automation and scripting.
Strong knowledge of REST APIs and enterprise integrations.
Experience designing workflows and orchestration.
Understanding of event-driven automation.
Experience with infrastructure or configuration automation.
Understanding of idempotency, error handling, retries, rollback, and validation.
Strong understanding of SAP technical operations and architecture.
Experience with RISE with SAP, SAP Basis, SAP HANA, or SAP infrastructure.
Understanding of SAP monitoring, troubleshooting, integrations, and operational processes.
Experience working with SAP technical teams in an enterprise environment.
Working knowledge of at least one major cloud platform such as AWS, Azure, or Google Cloud.
Understanding of cloud-native architecture concepts.
Familiarity with APIs, IAM, networking, containers/Kubernetes, event services, observability, and cloud security.
Ability to work effectively with enterprise Cloud Architecture teams.
Practical experience with generative AI and/or LLM-based applications.
Understanding of AI agents, tool calling, RAG, or AI-enabled workflows.
Experience integrating AI with APIs or enterprise applications is highly desirable.
Understanding of AI security, governance, guardrails, and human-in-the-loop concepts.
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related technical discipline.
Equivalent practical experience and demonstrated technical capability will also be considered.

Nice To Haves

Experience with one or more of the following is highly desirable:
RISE with SAP
SAP HANA
SAP Basis
Ansible Automation Platform
Python
REST/API development
Event-driven architecture
Workflow orchestration
Kubernetes
Infrastructure-as-Code
CI/CD
DevOps / Platform Engineering
SRE / observability
ITSM automation
Generative AI
Agentic AI
RAG
Enterprise integration
Cloud-native application development

Responsibilities

Drive the SAP NS2’s Zero Ops Vision
Help define and execute the technical roadmap for Zero Ops and autonomous operations across SAP NS2.
Identify opportunities to eliminate, simplify, automate, or make autonomous existing operational processes.
Develop an automation opportunity pipeline based on operational pain points, business value, complexity, risk, and feasibility.
Challenge traditional operational approaches and identify opportunities to improve reliability, speed, and efficiency through technology.
Establish reusable automation patterns rather than developing isolated scripts or point solutions.
Work with SAP and enterprise operations teams to understand current processes and identify opportunities for transformation.
Identify and Design End-to-End Automation Workflows
Analyze operational processes from trigger to completion, rather than automating individual tasks in isolation.
Design workflows that can detect an event, collect relevant information, analyze the situation, determine an action, execute the action, and validate the outcome.
Translate operational requirements into technical workflows, APIs, automation services, and reusable components.
Identify opportunities to introduce event-driven automation and closed-loop remediation.
Define appropriate human-in-the-loop, approval, exception-handling, rollback, and validation mechanisms.
Develop prototypes and proofs of concept to rapidly demonstrate automation opportunities.
Software Development & Engineering
Design and develop production-quality automation services and applications.
Build APIs, microservices, workflow components, integrations, and automation frameworks.
Use strong software engineering practices including Git, code reviews, testing, CI/CD, logging, monitoring, and documentation.
Develop reusable and maintainable automation components rather than one-off scripts.
Apply engineering principles such as modularity, idempotency, error handling, retries, rollback, testing, and observability.
Work closely with development teams to integrate automation capabilities into enterprise platforms.
Automation Engineering
Design and implement automation using Ansible, Python, APIs, orchestration platforms, and event-driven technologies.
Build reusable Ansible playbooks, roles, modules, and automation frameworks.
Integrate automation with SAP, cloud platforms, monitoring systems, ITSM platforms, and enterprise APIs.
Automate operational workflows across SAP, operating systems, infrastructure, and supporting services.
Establish automation standards, reusable patterns, and best practices.
Build mechanisms for automated validation and safe remediation.
AI & Agentic Automation
Identify practical opportunities to use AI and generative AI to improve SAP operations.
Develop AI-assisted capabilities for incident analysis, troubleshooting, root-cause analysis, knowledge retrieval, and remediation recommendations.
Explore and develop agentic workflows where AI can interact with enterprise tools and approved automation capabilities.
Integrate AI agents with APIs, workflow engines, monitoring platforms, and automation frameworks.
Establish appropriate guardrails, permissions, approval mechanisms, auditability, and human oversight.
Evaluate AI solutions based on accuracy, reliability, security, operational value, and scalability.
Stay current with emerging AI and agentic technologies and identify opportunities to apply them to enterprise operations.
SAP Operations
Develop a strong understanding of RISE with SAP architecture, operating models, and operational processes.
Work closely with SAP Basis and SAP application teams to understand operational challenges and identify automation opportunities.
Develop automation around SAP system health, monitoring, troubleshooting, configuration, operational checks, and remediation.
Understand SAP HANA and relevant SAP infrastructure and operating-system dependencies.
Work with SAP APIs, interfaces, monitoring mechanisms, and integration capabilities.
Translate SAP operational requirements into automation and software solutions.
Collaboration with Cloud Architecture
Develop high-level solution concepts and technical requirements for automation solutions.
Define application, integration, data, security, scalability, and operational requirements.
Work with Cloud Architects to translate automation concepts into enterprise-approved cloud architectures.
Collaborate on cloud service selection, deployment patterns, networking, IAM, security, observability, and scalability.
Ensure solutions align with enterprise cloud standards and architecture principles.
Communicate effectively with Cloud Architects and understand architectural trade-offs.
Bring new automation and AI ideas to the Cloud Architecture team for assessment and implementation.
Innovation & Continuous Improvement
Continuously explore emerging automation, AI, and engineering technologies.
Identify opportunities to improve existing operational workflows.
Build prototypes and demonstrate new ideas quickly.
Establish a culture of experimentation followed by disciplined productionization.
Measure the impact of automation and continuously optimize solutions.
Share reusable patterns, lessons learned, and technical innovations across engineering and operations teams.