เงื่อนไขการค้นหา

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Java, Full Stack, node.js, Angular.js, Thai, English, Mandarin

ประเภทงาน:

งานประจำ

• หากมีประสบการณ์ด้าน IT หรือ Software Development อย่างน้อย 2 ปี จะรับพิจารณาพิเศษ
• ยินดีรับเด็กจบใหม่.

ทักษะ:

ISO 27001, DevOps, Swift

ประเภทงาน:

งานประจำ

• Manage end-to-end cryptographic key lifecycle (generation, distribution, rotation, backup, archival, destruction).
• Administer and operate Hardware Security Modules (HSMs), preferably Thales Luna HSM.
• Define and enforce key management policies and procedures aligned with banking regulations and industry standards (e.g., PCI DSS, ISO 27001).
• Support encryption key integration across banking applications, core systems, payment systems, and digital channels.
• Conduct key ceremonies and maintain audit logs.
• Vault & Secrets Management.
• Administer enterprise vault platforms (e.g., HashiCorp Vault or similar).
• Manage secrets lifecycle (API keys, certificates, tokens, database credentials).
• Configure access control policies, role-based access, and segregation of duties.
• Integrate vault solutions with applications, DevOps pipelines, and cloud/on-prem infrastructure.
• Monitor vault security posture and perform regular health checks.
• Security & Compliance.
• Ensure compliance with regulatory requirements (BOT, PCI DSS, SWIFT CSP, etc.).
• Perform risk assessments related to cryptographic controls.
• Support audit activities and provide evidence for internal/external auditors.
• Participate in incident response related to key compromise or vault breaches.
• Architecture & Improvement.
• Contribute to cryptographic architecture design and secure key management framework.
• Support post-quantum cryptography transition planning (if applicable).
• Recommend best practices and continuous improvements for key and secrets management.
• Apply now if you have these advantages.
• Bachelor s degree or higher in computer science/ data science or any related field.
• Minimum of 3-7 years of experience in Information Security or Cryptography (Banking Financial industries are advantage).
• 3-7+ years of experience in Information Security or Cryptography.
• Hands-on experience with HSM (Thales Luna preferred).
• Experience in Vault or Secrets Management platforms (e.g., HashiCorp Vault).
• Experience in banking or financial services environment is highly preferred..
• Strong understanding of cryptographic principles (PKI, symmetric/asymmetric encryption, TLS, key wrapping, key derivation).
• Experience with key lifecycle management processes.
• Knowledge of PKI, certificate management, and CA integration.
• Familiarity with PCI DSS encryption requirements.
• Scripting skills (e.g., Bash, Python, PowerShell) are a plus.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Compliance, Research, Python

ประเภทงาน:

งานประจำ

• Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
• Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
• Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
• Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
• 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
• Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
• LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
• Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
• Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
• Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
• Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..