Senior Full Stack Developer

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Senior Full Stack Developer (Python/Java/Go, Machine Learning/Knowledge Graphs) - SAP Labs Singapore
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SAP .
We help the world run better. At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.
Meet your team
AI Business Services provides strategic machine learning services to infuse intelligence into SAP solutions. Across various focus clusters and building on strong teams, we pioneer game-changing solutions in close collaboration with customers & partners in industry and research and other SAP units. By exploring unconventional ideas and developing inspiring proofs of concept, we push state-of-the-art computer science and enterprise machine learning.
What You'll Do
As part of the Machine Learning and Knowledge Graph team, you will work alongside a group of dedicated experts—including researchers, developers, Knowledge Graph Engineers, DevOps engineers, and architects—to build cutting-edge machine learning and knowledge graph pipelines for a diverse set of use cases. Your success will be measured by your ability to deliver scalable, production-ready solutions that match or exceed the performance of top-tier research prototypes.
Your work will involve pushing the frontiers of what is possible in the integration of machine learning with knowledge graphs to create innovative, intelligent systems. You will explore, evaluate, and implement the latest approaches in distributed systems, cloud-native technologies, and semantic reasoning to power data-rich applications.
As a Senior Engineer, you are expected to take full technical ownership of team deliverables, with responsibility for architectural design, code quality, and production readiness. A key part of your role will be to lead the development of Knowledge Graph–related functional services. You will also contribute to the design and implementation of intelligent agents that operate over large-scale graph and tabular data.
In addition to your technical contributions, you will mentor junior developers and guide best practices in coding, testing, deployment, and performance tuning. You will lead by example in driving engineering excellence, fostering a culture of continuous improvement, automation, and cloud operation maturity.
You understand the business processes that generate and consume data, allowing you to select the most appropriate technologies and evaluate their impact both technically and strategically. You are experienced in handling multi-terabyte datasets in scale-up and scale-out environments and are capable of translating complex requirements into performant, maintainable, and scalable solutions.
You Will Be Responsible For
Designing and building production-grade Knowledge Graph services and microservices in Python
Developing intelligent agents that interact with and learn from Knowledge Graphs and other structured data sources
Working with Kubernetes and cloud infrastructure to ensure reliable and scalable deployment of services
Exploring and integrating emerging tools and frameworks in ML, semantic technologies, and distributed systems
Producing high-quality, maintainable code with an emphasis on modularity, testing, and performance
Visualizing and communicating results and insights effectively to both technical and non-technical audiences
Collaborating closely with product owners, designers, and cross-functional teams to understand business requirements and deliver impactful solutions
Mentoring junior engineers, performing code reviews, and contributing to a high-performance team culture
Solving complex integration and performance challenges across systems, often working across time zones in a global team set
You should be comfortable immersing yourself in new topics quickly, working independently and collaboratively, and thriving in an environment where innovation and initiative are highly valued.
Role Requirements
What you bring
8-12 years hands-on experience in related fields
Bachelor's or Master’s degree in Computer Science, Engineering or equivalent education
Knowledge of Machine Learning fundamentals
A solid foundation in computer science, with strong competencies in algorithms, data structures, object-oriented programming, design patterns, multi-threaded programming, and software design principles
Proficiency in at least two of the server/client-side programming languages such as Python, Go
Strong computer science fundamentals (algorithms, data structures, design patterns) and programming skills (Python etc). Familiar with best practices for reusability and extensibility
Proven ability to understand and transform prototypes into productive machine learning systems
Experience with cloud-based application development using Docker & Kubernetes
Experience in building, deploying & managing CI/CD pipelines through Jenkins across multiple hyperscaler environments such as AWS, GCP or Azure
Experience in secure software development life cycle
Thorough understanding of proven Machine Learning techniques and frameworks (Tensorflow, PyTorch, scikit-learn)
Hands-On experience with version control tools such as Github, Bitbucket
Experience in RESTful implementation, micro-service architectures, and container patterns
In-Depth understanding of System Design & Software Architecture
Knowledge on open-source cloud frameworks such as OpenStack, CloudFoundry etc.
Experience with common software development methodologies (e.g. agile development)
Able to build strong interpersonal relationships with internal and external stakeholders
Drive engagement across Architecture, Implementation, Testing, and Delivery of the Product
Excellent written and communication skills in the English language
Preferred
Knowledge Graph fundamentals
An understanding of how to apply Machine Learning libraries to train and serve a ML model
Experience working on data ingestion & big data technologies
Hands-on experience in Bash Scripting and operational knowledge of Linux distributions such as SUSE, Ubuntu
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
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:
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.
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