Senior Platform Engineer - SAP Big Data Fabric Services

SAP SE

Brasil

Presencial

BRL 120 000 - 180 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Continuous learning and skill growth

Collaboration in a global team

Comprehensive benefits package

Resumo da oferta

SAP SE is looking for a Senior Platform Engineer in Brazil to design and develop cloud-native backend services. You'll engage in complex architecture discussions, mentor junior developers, and ensure best practices in security and reliability. The role requires strong Java skills and experience with distributed systems and Kubernetes.

Join a collaborative team environment focused on big data technologies, where knowledge sharing and continuous learning are encouraged.

Qualificações

Proficient in Java and/or Go programming.
Experience with Kubernetes and cloud deployment models.
Strong understanding of algorithms and data structures.

Responsabilidades

Drive architecture and technical design discussions.
Develop backend services using Java technologies.
Mentor junior developers and improve team technical maturity.

Conhecimentos

Programming with Java

Cloud-native distributed systems design

Kubernetes

REST APIs

CI/CD practices

Analytical skills

Formação académica

Bachelor's or Master's degree in Computer Science or related fields

Ferramentas

Java

Terraform

AWS

Descrição da oferta de emprego

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We’re builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what’s next. The work is challenging – but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

Purpose and Objectives

What do you think about joining an innovative, engaged, and collaborative development environment, building a cutting‑edge platform for big data with a team of experts worldwide? The Big Data Fabric Services (BDFS) enables SAP lines of business and customers to easily enter the world of big data and enable customers to integrate SAP data with external partner data engineering tools and non‑SAP data. We are looking for a Developer / Platform Engineer with strong backend development skills and working knowledge of cloud‑native application development. The role is suitable for an experienced engineer who can contribute independently to development, troubleshooting, quality, and delivery of platform services. This is not a data scientist role. The team builds and operates platform services that enable scalable, secure, and reliable data storage and access.

The Product

The major goal of BDFS is to enable SAP lines of business and customers to enter the world of big data easily. To achieve that objective, we’re delivering Apache Spark as a service, a multi‑language engine for executing data engineering, data science, and machine learning on single‑node machines or clusters (Kubernetes in our case). We’re enabling data to be consumed from multiple hyperscaler‑agnostic data sources using the Delta Sharing communication protocol on top of the HANA Data Lake File Service (HDLFS), an SAP‑managed cloud object storage that allows storage and consumption of data without multiple layers of ETL systems and intermediary data storages (Lakehouse architecture).

What You’ll Do

As a Senior Platform Engineer, you will be responsible for architecture, design, coding, testing, troubleshooting, and quality assurance activities in a development team.

Drive architecture and technical design discussions
Design scalable, reliable, secure, and maintainable cloud‑native backend services
Own complex technical topics from analysis and design to implementation and delivery
Contribute to platform architecture decisions around service lifecycle, provisioning, credentials, configuration, resiliency, observability, and operational readiness
Develop backend services and platform components using Java and related technologies
Work on distributed applications and services running in cloud/container environments
Evaluate technical options, identify trade‑offs, and recommend practical architecture solutions
Contribute to secure‑by‑design architecture and platform engineering practices
Ensure platform services follow security, reliability, scalability, and operational best practices
Contribute to architecture discussions around authentication, authorization, secrets management, encryption, and secure multi‑tenant design
Support observability, monitoring, logging, alerting, and operational readiness practices for platform services
Build PoCs and validate technical approaches for complex platform topics
Analyze, troubleshoot, and resolve complex production and development issues
Review code, design documents, and implementation approaches to ensure high engineering quality
Mentor and guide junior developers and help improve technical maturity within the team
Support product team and architects in technical discussions and planning
Collaborate with cross‑functional teams and stakeholders across locations
Work in an agile team that uses the Scrum framework to self‑organize and work towards development goals
Contribute to engineering practices around clean code, CI/CD, testing, automation, security, observability, and operational excellence

What You Bring

Required Skills

Bachelor’s or Master’s degree in Computer Science, Systems Analysis, Information Technology, Mathematics, Physics, Engineering, or related technical fields
Advanced or fluent English
Excellent programming skills, preferably with Java and/or Go
Strong understanding of algorithms, data structures, space complexity, and run‑time complexity
Strong understanding of object‑oriented design, design patterns, clean code, and software architecture principles
Experience designing and building cloud‑native distributed systems
Experience with Kubernetes, containerized applications, and cloud deployment models
Experience with at least one hyperscaler or cloud ecosystem such as AWS, Azure, or Google Cloud Platform
Strong understanding of REST APIs, service integrations, distributed application design, and failure handling
Ability to define and evaluate architecture trade‑offs around scalability, availability, reliability, maintainability, security, and cost
Ability to troubleshoot complex software and platform issues using technical and product knowledge
Experience with CI/CD, code review, test‑driven development, and modern software delivery practices
Knowledge of software quality assurance and test methodologies, including unit testing, integration testing, and automation
Strong analytical and problem‑solving skills
Ability to mentor developers and support technical decision‑making
Ability to quickly learn new areas of knowledge and drive topics independently
High level of ownership, commitment, team spirit, flexibility, and initiative

Nice to Have

Experience with cloud object storage services such as AWS S3, Azure Blob Storage, or Google Cloud Storage
Exposure to Object Store, service broker patterns, provisioning flows, credential handling, or service lifecycle management
Experience with infrastructure automation tools such as Terraform, Helm, or similar
Experience with Linux, scripting, DevOps, or infrastructure engineering
Experience with observability topics such as logging, metrics, tracing, monitoring, alerting, and incident analysis
Experience with secure multi‑tenant cloud services
Experience with performance optimization, reliability engineering, or cost optimization
Exposure to Apache Spark, Delta Sharing, Lakehouse architecture, or big data platform services
Experience working with globally distributed agile/Scrum development teams
Experience in technical mentoring, architecture reviews, design reviews, or technical leadership

Learning Opportunities

You will work on architecture and engineering topics for enterprise‑grade cloud platform services
You will work on cloud‑native backend services, distributed systems, and secure multi‑tenant platform capabilities
You will influence architecture decisions around scalability, reliability, observability, automation, and operational readiness
You will collaborate with experienced developers, architects, product owners, and platform teams across locations
You will help shape engineering practices and mentor developers in backend and platform engineering topics

In the BDFS team, we have an agile and collaborative culture where knowledge sharing is fostered. The team is responsible for extending and completing the SAP Data Platform with big data technologies and third‑party partnerships to support different SAP lines of business and customers to enter the world of big data. We leverage Apache Spark and object store technology to provide scalable and cost‑effective computing and storage services for big data ingestion, processing, and sharing. We integrate into SAP BTP and HANA Cloud to offer a unified development and deployment experience for different lines of business. Assured multi‑tenancy and secure data processing ensures compliance and trust.

Equal Employment Opportunity SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor.

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