Systems, Senior Engineer
応募 後で応募 求人ID R0193481 掲載日 11/03/2026 Location:Bengaluru, IndiaBy clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
As a Senior Full Stack Engineer, you will design, build, and enhance cloud-native applications that support the R&D organization. Operating at the intersection of science and technology, you will partner with product owners, data experts, and global engineering teams to deliver scalable, high-quality solutions that enable data-driven decision-making.
This role combines full-stack development, cloud engineering, and system design, with increasing ownership of architecture, engineering best practices, and technical leadership.
Key Responsibilities
Engineering & Development
- Design, develop, test, and maintain scalable cloud-native applications across front-end and back-end systems
- Build and enhance modern microservice-based architectures and distributed systems
- Develop and integrate RESTful APIs and system interfaces for enterprise platforms
- Implement infrastructure-as-code solutions and manage cloud environments
- Build and maintain CI/CD pipelines for automated deployment and delivery
Architecture & Design
- Contribute to system architecture, technical design, and engineering standards
- Create detailed technical documentation including:
- Low-Level Design (LLD)
- Entity-Relationship (ER) diagrams
- Component and class diagrams
- Partner with stakeholders to translate business requirements into scalable technical solutions
Quality & Reliability
- Implement automated testing frameworks (unit, integration, end-to-end)
- Monitor, troubleshoot, and resolve production issues related to performance and reliability
- Ensure applications meet security, compliance, and operational standards
Collaboration & Delivery
- Work closely with product managers, data SMEs, and cross-functional teams
- Participate in Agile development processes including sprint planning, code reviews, and retrospectives
- Collaborate across global teams and vendors to deliver complex solutions
Data & Platform Integration
- Integrate applications with enterprise R&D systems and scientific data platforms
- Build data pipelines and support data ingestion, transformation, and access
- Enable interoperability using semantic data models and metadata standards
Continuous Improvement & Innovation
- Drive improvements in development processes, tools, and architecture
- Reduce technical debt and improve system scalability and maintainability
- Leverage AI-assisted development tools to improve productivity
- Contribute to cloud-first strategy and digital innovation across R&D
Leadership & Ownership
- Take end-to-end ownership of features—from design through deployment
- Act as a technical contributor and mentor supporting junior engineers
- Influence stakeholders and help resolve complex technical challenges
Required Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field and 5+ years of software engineering experience. Or Master’s degree with 3+ years of experience
Technical Skills
- Strong experience with at least one of modern programming languages (e.g., Python, Java, JavaScript)
- Experience building full-stack applications (front-end + back-end)
- Experience with modern JavaScript frameworks (e.g., React, Angular, Vue)
- Hands-on experience with AWS cloud services (EC2, RDS, S3, etc.)
- Experience with infrastructure-as-code (e.g., Terraform)
- Strong understanding of microservices architecture and cloud-native design
- Experience designing and integrating REST APIs
Data & Systems
- Experience with relational databases (e.g., Oracle, PostgreSQL, MySQL)
- Experience with NoSQL databases (e.g., DynamoDB, Neptune)
- Knowledge of data engineering pipelines (e.g., Spark, Databricks)
- Strong understanding of system design and data modeling
Engineering Practices
- Experience with DevOps tools and CI/CD pipelines
- Strong understanding of automated testing methodologies
- Experience working in Agile/Scrum environments
Professional Skills
- Strong problem-solving, analytical, and communication skills
- Ability to work independently and collaborate across teams
- Business acumen and ability to translate technical solutions to business impact
