Senior Platform Engineer (Associate Architect)

SAP; Bengaluru; On-site; INR 3,500,000 - 8,000,000; Full time

Job summary

SAP SE in Bangalore (Whitefield) is seeking a Senior Platform Engineer (Associate Architect) to own critical platform components within SAP AI Foundation. You will design, develop, test, deploy, and operate cloud-native services powering enterprise AI workloads.

This hands-on senior role combines deep implementation with architectural responsibility, mentoring engineers and driving scalable, secure systems across distributed teams.

Qualifications

• 10+ years of software engineering or platform engineering experience.
• Strong fundamentals in data structures, algorithms, OOP, and design patterns.
• Deep understanding of distributed systems, microservices, API design, and cloud-native architectures.
• Strong proficiency in Python, Java, or Go with production-quality software.
• Hands-on experience with Kubernetes, Docker, containers, and cloud-native deployment.
• Experience building and operating distributed services in production.
• Solid understanding of CI/CD, automated testing, and security best practices.
• Ability to drive technical decisions and communicate designs clearly.
• Ownership mindset with strong problem-solving and cross-team collaboration.

Responsibilities

• Own platform components across design, development, testing, deployment, and production operations.
• Independently deliver complex features with high engineering quality, transparency, and accountability.
• Contribute to the design and evolution of scalable, secure distributed systems. Evaluate technology choices, integration patterns, architectural trade-offs, and long-term platform evolution.
• Identify reusable design patterns and opportunities to simplify system complexity and reduce technical debt.
• Integrate platform capabilities with SAP BTP, SAP AI Core, SAP HANA and relevant enterprise services.
• Develop and operate microservices using Python, Java, or Go. Work with Kubernetes, containers, distributed systems, and cloud-native infrastructure.
• Improve observability through structured logging, metrics, distributed tracing, dashboards, and actionable alerts.
• Strengthen CI/CD pipelines, automated testing, deployment automation, and developer productivity.
• Apply secure-by-design principles across authentication, authorization, tenant isolation, network security, encryption, and sensitive-data handling.
• Follow engineering standards for code quality, automated testing, vulnerability management, and security.
• Mentor junior engineers through code reviews, design discussions, and technical guidance.
• Collaborate with product management, architects, engineers, and distributed engineering teams.

Skills

Python

Java

Go

Kubernetes

Docker

Cloud-native architectures

Distributed systems

CI/CD

Observability

Security fundamentals

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Containers

Cloud deployment patterns

Job description

Company Description

Join SAP's senior engineering network, collaborating globally and shaping standards that elevate platform engineering practices worldwide.

Job Description

Senior Platform Engineer (Associate Architect) – SAP AI Foundation
Location: Bangalore (Whitefield)
Job Family: Platform Engineering

Where You'll Belong

SAP AI Product & Engineering is a key driver of the Autonomous Enterprise, bringing AI capabilities to enterprise applications and helping customers unlock the value of their business data. Our foundational products—including SAP Generative AI Hub, AI Core, and AI Launchpad—enable application developers to embed AI into enterprise solutions.

We value engineers who combine strong hands‑on implementation skills with sound architectural judgment, proactively address risks, and take accountability for sustainable solutions. Grow as a senior engineer and emerging architectural leader while helping shape the next generation of enterprise AI platforms at SAP.

What you'll build

As a Senior Platform Engineer (Associate Architect), you will take end-to-end ownership of critical components within SAP AI Foundation. You will design, develop, test, deploy, and operate cloud‑native platform services that power enterprise AI workloads.

This is a hands‑on senior engineering role combining deep implementation expertise with architectural responsibility. You will independently deliver complex engineering capabilities, influence technical direction across components, and drive solutions that improve platform scalability, reliability, security, and operational efficiency.

You will work closely with architects, product management, and globally distributed engineering teams to translate product requirements into robust technical solutions. You will also mentor engineers and contribute to the evolution of platform architecture while remaining actively involved in design and implementation.

• Own platform components across design, development, testing, deployment, and production operations.
• Independently deliver complex features with high engineering quality, transparency, and accountability.
• Contribute to the design and evolution of scalable, secure, and maintainable distributed systems. Evaluate technology choices, integration patterns, architectural trade-offs, and long‑term platform evolution.
• Identify reusable design patterns and opportunities to simplify system complexity and reduce technical debt.
• Integrate platform capabilities with SAP BTP, SAP AI Core, SAP HANA and relevant enterprise services.
• Develop and operate microservices using Python, Java, or Go. Work with Kubernetes, containers, distributed systems, and cloud‑native infrastructure.
• Improve observability through structured logging, metrics, distributed tracing, dashboards, and actionable alerts.
• Strengthen CI/CD pipelines, automated testing, deployment automation, and developer productivity.
• Apply secure‑by‑design principles across authentication, authorization, tenant isolation, network security, encryption, and sensitive‑data handling.
• Follow engineering standards for code quality, automated testing, vulnerability management, and security.
• Mentor junior engineers through code reviews, design discussions, and technical guidance.
• Collaborate with product management, architects, engineers, and distributed engineering teams.

What you’ll bring

• A degree in Computer Science, Engineering, or a related field. 10+ years of experience in software engineering, platform engineering, or backend systems development.
• Strong fundamentals in data structures, algorithms, object‑oriented programming, design patterns, and software design principles.
• Deep understanding of distributed systems, microservices, API design, and cloud‑native architectures.
• Strong proficiency in Python, Java, or Go, with demonstrated ability to design and implement production‑quality software.
• Hands‑on experience with Kubernetes, Docker, containers, and cloud‑native deployment patterns.
• Experience building, debugging, and operating distributed services in production environments.
• Solid understanding of CI/CD, automated testing, and software delivery practices.
• Practical knowledge of observability, production troubleshooting, reliability engineering, and performance optimization.
• Strong security fundamentals, including authentication, authorization, data protection, and secure software development.
• Ability to drive technical decisions, evaluate architectural trade‑offs, and communicate design proposals clearly.
• A strong ownership mindset, excellent problem‑solving skills, and the ability to collaborate across globally distributed teams.

Experience with SAP BTP, SAP AI Core, SAP HANA, or other enterprise cloud platforms is an advantage.

Additional Information:

What Success Looks Like

• Independent delivery: Delivers complex platform capabilities with high engineering quality and predictable execution.
• End‑to‑end accountability: Owns outcomes beyond implementation, including testing, deployment, production support, and maintainability.
• Sound technical judgment: Produces robust designs and contributes effectively to cross‑component architecture decisions.
• Measurable platform improvements: Improves reliability, performance, security, observability, and operational efficiency.
• Reusable engineering: Builds sustainable abstractions and shared solutions rather than unnecessary one‑off implementations.
• Technical leadership: Raises engineering standards through mentoring, design reviews, and knowledge sharing.
• Architectural growth: Demonstrates the ability to reason about system‑wide implications, technical trade‑offs, and the long‑term evolution of the platform.

cloud architecture, scalability, test automation, AI‑assisted development, agentic orchestration, AI governance operations, continuous integration/continuous delivery (CI/CD), observability, context engineering, AI output quality assurance, agentic AI day‑to‑day practice, AI‑Assisted Automation and Prototyping, AI adoption capability

#SAPAICareers

Qualifications

strategic leadership, operational excellence, and the ability to align platform technology with business goals. You anticipate trends, manage change, and build resilient organizations.

Additional Information

About SAP

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