Total 9 job vacancies by Rakuten Asia Pte. Ltd.

Rakuten is a leading global e-commerce company. Our mission is to contribute to society by creating value through innovation and entrepreneurship

At Rakuten, we drive disruptive innovation, engaging knowledge, creativity and passion from around the world to achieve ambitious goals and help build communities in which people can pursue their dreams and live in happiness.

APS boasts a highly motivated, skilled, talented, and friendly team spread across Tokyo, Singapore, India, and China. We are looking for someone who can quickly integrate and collaborate effectively with our team.

We are seeking a dynamic full-stack software engineer to take on technical ownership and responsibilities throughout the product and project development lifecycle. The ideal candidate will possess the ability to solve a wide range of technical and business challenges. We are looking for a tech-savvy individual who is unafraid to step out of their comfort zone and explore new technologies.

This role offers the opportunity to build a robust tech career by developing multiple products within Rakuten's expansive ecosystem and innovative technology cluster.

Roles and Responsibilities

• Project Execution

• Requirement gathering and analysis

• Convert business requirement to tech requirement

• System design

• Coding and implementation

• Code review and maintain code quality/standard

• Unit testing, verification, validation

• Deployment/Rollback operation for DEV, STG, PROD

• After-release monitoring, regular maintenance

• Collaboration

• Working closely with the project manager, tech lead, architect and other project members

• Collaborate with a separate QA team and DevOps team.

• Collaborate with cross-culture, cross-border development team during the project execution

• Always Improve, Always Advance

• Understand the whole product and system and suggest the technical improvements

• Understand the future business and product needs and suggest system improvement in advance.

• Think one step ahead, verify up-coming technology and prepare roadmaps to utilize those

Qualifications

General

• 5+ years of hands-on software development experience as a Software Engineer

• Strong technical design and implementation skill

• Strong analytical and problem-solving skill

• Complete and hands-on experience of Agile development and SCRUM

• Team player and easy going person

• Proactive, self-starter and self-motivated

• Perform under immense pressure

• Good communication skills with tech/non-tech people

• Strong get-things-done mind with a sense of ownership

• Experience using AI tool like Cursor to improve the code quality and productivity.

Technical

Must have

• Java spring (boot+batch)

• MySQL

• NoSQL (MongoDB)

• GCS,Big Query, Data Proc

• Kafka

• Version Control - Git

• Jira or similar project and task management tool

Good To have

• Big Data (Hadoop, Hive, Spark)

• REACT, ANGULAR

• NoSQL (Couchbase, Cassandra, Redis)

• Big Data (Tez, Presto)

• Test Automation JUnit

• Code Quality - Sonar

• Streaming platform - Kafka, RabittMQ

• CI/CD - Jenkins

• BI Tool - MicroStrategy, Tableau

• The experience about enterprise system architecture design such as data pipeline design
  

  Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

Rakuten Group serves over 100 million members in Japan and nearly 1 billion globally, offering more than 70 services across diverse domains such as e-commerce, fintech, telecommunications, media, and advertising.
The Analytics & Data Engineering Department (ADED) drives the group’s data and AI initiatives, delivering advanced data infrastructure and products that power Rakuten’s digital ecosystem.
Our team operates globally across Japan, Singapore, and India, providing scalable data solutions that enable data-driven decision-making and innovation.

The Data Lakehouse Section provides the foundation for Rakuten’s “Digital Twin” strategy — enabling seamless, real-time understanding of customers across services.
We manage one of the world’s largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units.
As a Staff Data Engineer, you will drive technical strategy and lead cross-functional initiatives to evolve our global data platform.

As a Staff Data Engineer, you will operate at a broader scope beyond individual projects, influencing system architecture, technical direction, and cross-team collaboration.
You will work closely with global stakeholders across Japan, Singapore, and India to drive large-scale data initiatives.

Key Responsibilities

Define and drive the technical vision and architecture for data platforms across multiple teams and regions.

Lead cross-team and cross-regional initiatives, ensuring alignment and scalability of data solutions.

Make high-impact architecture and design decisions for large-scale data systems.

Establish and enforce best practices and standards in data engineering, including reliability, scalability, and observability.

Collaborate with engineering leaders, product managers, and stakeholders to shape data strategy and roadmap.

Mentor senior engineers and act as a technical leader and role model across the organization.

Drive improvements in data governance, security, and platform reliability at an organizational level.

Contribute to critical implementations when needed, while maintaining a focus on system-level impact.

Mandatory Qualifications

8+ years of experience building and scaling big data platforms in production environments.

Strong experience in system architecture design for large-scale distributed data systems.

Proven track record of leading cross-team or cross-regional technical initiatives.

Expertise in Python and modern data engineering ecosystems (e.g., PySpark, Pandas).

Deep hands-on experience with Google Cloud Platform (GCP) (BigQuery, Dataflow, Pub/Sub, etc.).

Strong understanding of data modeling, distributed systems, and performance optimization.

Experience with cloud-native architectures, CI/CD, and Infrastructure-as-Code.

Excellent communication and stakeholder management skills, with the ability to influence decisions across teams.

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

- Proficiency in Japanese will be an advantage, as the role involves communication with Japanese-speaking stakeholders.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides a foundational platform for Rakuten’s “Digital Twin” vision by integrating and managing large-scale first-party data. 

It includes core data products such as Customer DNA (CDNA) and Deep CDNA, which unifyuser data across all Rakuten services. 

Position Overview

The Senior QA Engineer will define and oversee the end-to-end testing strategy for Rakuten’s core data and AI products. You will lead a team of QA engineers and collaborate closely with product managers, developers, and data engineers to deliver high-quality, scalable releases.

Responsibilities:

- Own the overall QA strategy for Customer DNA and related platforms (Deep CDNA, Marketing Concierge, etc.).
   
- Establish testing standards and best practices across functional, integration, regression, and performance testing.
   
- Design and maintain test automation frameworks to ensure efficiency and repeatability.
   
- Review and refine test plans and test cases derived from business and technical requirements.
   
- Coordinate test execution and track quality metrics (defect density, coverage, pass rate).
   
- Collaborate with global development teams (Japan, India, Singapore) to ensure timely and coordinated releases.
   
- Drive continuous integration and delivery (CI/CD) testing processes in collaboration with DevOps.
   
- Mentor and guide QA engineers, promoting a culture of quality, accountability, and proactive improvement.
   
- Contribute to risk assessment and release readiness decisions.
   
Qualifications:

- 6+ years of QA experience, including at least 2 years in a lead or managerial role.
   
- Proven expertise in test planning, execution, and automation within complex IT or data product environments.
   
- Experience designing and implementing automation frameworks (e.g.,Selenium, PyTest, Katalon, Cypress, Playwright).
   
- Hands-on experience in API testing and validation of data pipelines.
   
- Strong understanding of CI/CD tools (e.g., Jenkins, GitHub Actions, Docker) and test integration.
   
- Solid skills in SQL and Python (or equivalent scripting languages) for data validation and automation.
   
- Experience defining QA metrics and dashboards for project management and performance tracking.
   
- Excellent communication skills and ability to work across multi-cultural,cross-functional teams.

- Business-level proficiency in English.

- Proficiency in Japanese will be an advantage, as the role involves communication with Japanese-speaking stakeholders.

Good to have:

- Experience in data platform QA, validating large-scale ETL, real-time streaming, or cloud data systems.
   
- Familiarity with Google Cloud Platform (GCP) components such as BigQuery, Dataflow, and Pub/Sub.
   
- Knowledge of Data quality governance frameworks and data lineage verification.
   
- Experience managing distributed QA teams across multiple regions.
   
- Strong leadership and mentoring capabilities, fostering technical growth and continuous improvement.

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Rakuten is a global leader in internet services that empower individuals, communities, and businesses. We are committed to innovation and entrepreneurship, offering a diverse ecosystem of services in e-commerce, fintech, digital content, and communications to over one billion members worldwide. At Rakuten, we believe in empowering our employees to make a difference and contribute to our mission of creating a better future.

Responsibilities

The APAC Regional Privacy Officer role is to advise the company on a range of privacy, data protection, and security-related legal and compliance initiatives in the Asia region. This role involves advising clients on various legal risks and obligations under global privacy laws and driving high-profile cross-functional initiatives across the business that involve complex legal and/or regulatory issues. The Regional Privacy Officer reports to the Global Privacy Office and implements the privacy strategy in the region. This requires the ability to work independently and with large multi-stakeholder teams.

• Develop and maintain subject matter expertise in areas of data privacy and protection laws and advise on the impact of the same on Rakuten’s business within the Asia region.
• Assist product owners in evaluating the impact of privacy laws, regulatory guidance, and enforcement actions, and other related guidelines on product features.
• Evaluate the impact of legislative, regulatory, legal developments and industry proposals involving legislative privacy and security across Rakuten's services and group companies within the Asia region.
• Drive high-profile and high-impact projects involving privacy analysis and compliance with stakeholders across the business.
• Coordinate with Rakuten’s Global Privacy Office and implement the global privacy policies regionally.
• Be a representative of the Global Privacy Office in the region and a first point of contact for group companies in the region.
• Monitor business developments and privacy compliance within the region.
• Raise awareness with the relevant regional stakeholders about privacy initiatives and promote privacy as a business enabler.
• Liaise with the local, regional, and global stakeholders to promote Rakuten’s privacy initiatives.
• Manage and participate in internal privacy compliance programs and processes to ensure Rakuten meets its obligations under those programs.
• Support businesses in the region with their privacy tasks.

Requirements

• Background in data governance, data privacy, risk management, consultancy or compliance, with at least 5 years of working experience.
• Knowledge of personal data laws and regulations in Singapore; experience in navigating privacy laws in other APAC countries would be an advantage.
• Possess an awareness of how data is captured, stored, integrated and consumed in applications/systems; able to understand operational, business and data processes, controls and risk environment.
• Strong project management and facilitation skills, with the ability to engage and manage different stakeholders.
• Team player who possesses drive, confidence, analytical skills and an eye for details.

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world. 
 
Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/. 

The AI & Data Division (AIDD), creates powerful, customer-focused search, recommendation, data science, advertising, marketing price, and inventory optimization solutions to a variety of businesses in Rakuten group.  As part of AIDD, AILab builds new solutions that have the potential to transform how users interact with Rakuten service. Our goal is to drive innovation by developing new products and capabilities that deliver significant impact over longer timeframes using AI. 

We are building the next generation of AI-powered shopping experiences — autonomous agents that search, compare, reason, and transact on behalf of users. As Technical project manager for Agent Development, you will ensure that cross-functional teams deliver on time, within scope, and at quality.  

Core responsibilities 

Program planning & execution 

• Build and maintain master program plans covering all workstreams: model development, API integrations, front-end, QA, and data pipelines 

• Define milestones, dependencies, and critical path across multiple concurrent agent projects 

• Run sprint planning, backlog grooming, and quarterly planning ceremonies across engineering and ML teams 

• Track and report program status, risks, and blockers to leadership on a weekly cadence 

Delivery management 

• Budget management 

• Drive on-time delivery of agent features 

• Identify scope creep early and facilitate trade-off decisions with product and engineering leads 

• Manage release schedules, coordinate UAT, and own go-live checklists for each agent launch 

• Maintain a risk register and ensure mitigation plans are in place and actioned 

Process & tooling 

• Prepare and present program dashboards, steering committee updates, and executive briefings 

• Facilitate alignment meetings, decision logs, and RACI documentation to keep accountability clear 

• Define and continuously improve PM processes, templates, and ways of working for the agent development team 

• Own the team's project management tooling (Jira, Confluence, or equivalent) — structure boards, set up workflows, and ensure hygiene 

• Conduct retrospectives and translate learnings into process improvements 

Required qualifications 

• 5+ years of technical program or project management experience, delivering large-scale software products 

• Strong command of project management fundamentals: work breakdown structures, dependency mapping, critical path analysis, risk management, and stakeholder reporting 

• Experience managing programs or projects that involve API integrations, data pipelines, or ML model deployments 

• Excellent written and verbal communication; skilled at producing clear status reports and exec summaries 

• Proficiency with project management tools (Jira, Asana, Linear, Confluence, or similar) 

Nice to have 

• Familiarity with LLM or AI agent development cycles — enough to ask the right questions and spot risks 

• Experience running programs across both agile and waterfall workstreams simultaneously 

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world. 
 
Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operates in 30countries and regions. For more information visithttps://global.rakuten.com/corp/. 

The Frontier Research Department is responsible for advancing Rakuten’s core AI capabilities, including large language models and related technologies. The team works across model development, post-training, evaluation, deployment, and data strategy to improve model quality, alignment, scalability, and practical effectiveness. This role sits within the Frontier Research Department and works closely with researchers, evaluation teams, model engineers, and GPU infrastructure teams to strengthen the performance and readiness of Rakuten’s self-developed LLMs. 

Responsibilities 

• Support requirement analysis and strategy optimization for Rakuten’s Large Language Models, with a focus on data quality, alignment, model effectiveness, and deployment readiness. 

• Collaborate with researchers, model engineers, and evaluation teams to identify model weaknesses and define improvement opportunities. 

• Define data requirements for post-training, alignment, and evaluation across priority domains and use cases. 

• Develop and improve methodologies for data acquisition, data production, and data quality management, while balancing quality, scalability, and cost. 

• Evaluate the effectiveness of data production tools and workflows and partner with technical teams to improve them. 

• Work with GPU and infrastructure teams to support model deployment planning, resource prioritisation, and efficient production rollout of Rakuten’s models. 

• Contribute to model pricing and cost strategy by assessing trade-offs across model quality, serving cost, infrastructure usage, and business requirements. 

• Translate ambiguous model quality, deployment, and cost challenges into structured problem statements, prioritised workstreams, and measurable outcomes. 

Required Qualifications 

• 5+ years of experience in product management, machine learning products, AI/ML platform strategy, or related technical program roles. 

• Solid understanding of LLM alignment and post-training approaches such as SFT, preference optimization, or RLHF. 

• Experience working with data quality, evaluation, or model improvement workflows for ML/AI systems. 

• Familiarity with model deployment considerations, infrastructure trade-offs, or cost/performance optimization for AI systems. 

• Ability to work effectively with highly technical teams and translate research or engineering challenges into clear priorities and execution plans. 

• Strong written and spoken English communication skills. 

Preferred Qualifications 

• Experience working directly on LLM, generative AI, model evaluation, or AI platform deployment projects. 

• Familiarity with model serving economics, inference cost structures, or pricing strategy for AI products. 

• Strong interest in frontier AI research and practical model quality improvement. 

• Japanese language skills are a plus. 

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/

The Marketing Cloud Platform Department (MCPD) drives Rakuten's marketing product strategy, executes product development, and ensures successful implementation. We empower Rakuten's internal marketing teams by creating engaging, respectful, and cost-efficient marketing platforms that prioritize our customers. Leveraging the Rakuten Ecosystem, we offer comprehensive marketing solutions, including campaign management, multichannel communication, and personalization. As a team of over 150 experts across Japan, India, and Singapore, we pride ourselves on being a technology-driven organization that shares knowledge within the Rakuten Tech community.

As an SRE Manager in MCPD, you will lead a team of Site Reliability Engineers responsible for ensuring the reliability, scalability, and performance of our marketing cloud platforms. You will drive operational excellence by implementing best practices in observability, incident management, and automation. This role bridges engineering and operations, requiring both strong technical expertise and people management skills to build and maintain highly available systems that serve millions of Rakuten's customers globally.

Responsibilities:

• Lead, mentor, and grow a team of Site Reliability Engineers across multiple locations (Singapore, Japan, India), fostering a culture of collaboration, continuous learning, and operational excellence

• Define and drive SRE strategy, including SLO/SLI frameworks, error budgets, and reliability targets aligned with business objectives and customer expectations

• Establish and improve incident management processes, including on-call rotations, escalation procedures, and blameless post-mortem practices to minimize MTTR and prevent recurring issues

• Collaborate with development teams to embed reliability practices into the software development lifecycle, advocating for design reviews, chaos engineering, and production readiness reviews

• Design and implement comprehensive observability solutions (monitoring, logging, tracing, alerting) to provide actionable insights into system health and performance

• Drive automation initiatives to reduce toil, improve deployment reliability, and enable self-service capabilities for engineering teams

• Partner with Architecture and Platform teams to ensure infrastructure decisions support scalability, fault tolerance, and cost optimization goals

• Manage capacity planning and performance optimization for critical marketing platforms handling high-volume campaign executions and real-time personalization

• Report on reliability metrics, incident trends, and operational health to leadership, translating technical insights into business impact assessments

Required Qualifications:

• 8+ years of experience in software engineering, DevOps, or site reliability engineering, with at least 3 years in a people management role

• Proven track record of building and leading high-performing SRE or platform engineering teams in a distributed, multi-timezone environment

• Deep expertise in cloud platforms (GCP preferred, AWS/Azure acceptable) including compute, networking, storage, and managed services

• Strong knowledge of containerization and orchestration technologies (Kubernetes, Docker) and Infrastructure as Code (Terraform, Ansible)

• Hands-on experience with observability tools and practices (Prometheus, Grafana, Datadog, ELK Stack, or similar) and defining meaningful SLOs/SLIs

• Experience with CI/CD pipelines, deployment strategies (blue-green, canary), and release engineering best practices

• Strong programming/scripting skills in languages such as Python, Go, or Java for automation and tooling development

• Excellent communication skills with the ability to collaborate effectively across engineering, product, and business stakeholders

• Strong incident management experience with demonstrated ability to lead high-pressure situations calmly and effectively

Nice to Have:

• Experience with big data technologies (Hadoop, Spark, Kafka) and data pipeline reliability

• Familiarity with marketing technology platforms, email delivery systems, or customer data platforms

• Knowledge of database administration and optimization (PostgreSQL, MySQL, Redis, Couchbase)

• Experience with chaos engineering practices and tools (Chaos Monkey, Litmus, Gremlin)

• Certifications such as Google Cloud Professional Cloud Architect, AWS Solutions Architect, or Kubernetes Administrator (CKA)

• Japanese language proficiency is a plus for collaboration with Japan-based teams

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.