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Skills:

Java, Spring Boot, Kubernetes

Job type:

Full-time

• Work in an agile team to build/develop features and technologies across various aspects of the Java stack, primarily focused on Spring Boot and Spring Cloud/NetflixOSS.
• CI/CD deployments on a Kubernetes-based platform, both on-premises and on multi-cloud infrastructure. (AWS and GCP).
• Possess an understanding of cloud-native architectures and be familiar with implementations involving service discovery, circuit breakers, client-side load balancing, and other architectural patterns related to elastic infrastructure.
• Participate in, and help create a company culture that attracts, retains, and coaches other engineers. The primary deliverable of a senior engineer is more senior engineers.
• Conduct design and code reviews.
• Provide specific technical expertise to help drive innovation.
• Identify emerging technologies to create leading-edge banking products.
• Partnering with architects and platform engineers to build strategies for execution, drive and facilitate key decisions, and influence others, and lead change where appropriate.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
• Bachelor s Degree in Computer Science or equivalent work experience.
• Relevant work experience. Or 3+ years for senior position.
• Experience in building complex applications from scratch and decomposing monolithic applications into micro-services.
• Minimum of core Java 8, Spring Boot, Spring Cloud.
• Kubernetes (or Docker/ Mesos and equivalent).
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB).
• RabbitMQ, Kafka.
• AWS & GCP.
• API Gateway.
• Linux.
• CI/CD (Jenkins, Git).
• React.JS (Optional).
• Experience with distributed architectures, SOA, microservices, and Platform-as-a-service (PaaS).
• Experience with Agile and Test-Driven Development (TDD) methodologies.
• Experience with high availability, high-scale, and performance systems.
• Experience in Automation testing/ or Unit testing is a plus.
• Location: True Digital Park, Bangkok.

Experience:

1 year required

Skills:

Data Warehousing, Compliance, Kafka

Job type:

Full-time

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.