Senior Security Sa Apj jobs at Amazon in Thailand, Bangkok

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.In this role, you will design, build and maintain the lab infrastructure. Your role will involve designing, integrating and providing continuous support for complex Radio Frequency (RF) satellite and ground based hardware in the loop (HIL) testing environments.A key aspect of your position will be serving as a liaison between software teams and hardware teams. In this capacity, you will establish a healthy testing environment while maintaining high standards as software moves through Design Verification (DVT), Acceptance Testing (ATP), Qualification Testing (QTP) and live payload integration.Key job responsibilities
* Technical Expertise in RF testing equipment (VSA, VSG, GNSS simulators, switches), RF up/down converters, time-varying channel emulation and automated testing environments.
* Integration and continuous support of complex RF devices, testing equipment and Linux based software systems.
* Strong RF problem-solving and troubleshooting abilities with the added ability to work individually and as a member of a team.
* Experience managing software development, including integrating, troubleshooting and diagnosing RF related software bugs.
* Strong project management, communication skills and technical writing.
* Experience with RF testing equipment automation using SCPI and a various RF equipment Python libraries like PyVisa.A day in the life
The successful applicant will be experienced in keeping technical infrastructure running smoothly and balancing high priority issues. You should be comfortable taking on ambiguous challenges like setting up new pre-production hardware for the first time. You should be able to define SOPs, metrics and alarms to keep equipment and test infrastructure highly available and expand the teams capabilities over time. You will be invaluable to enabling the team to move quickly and confidently with robust verification frameworks that scale with our systems.

- 2+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or similar technical field.
- 2+ years of experience in any of the following: test lab support, operational hardware support
- 2+ years of experience with test automation, debugging, building test tools and testing frameworks
- 2+ years of experience working with Linux based systems
- 2+ years of experience in computer networking (admin level)

- - Highly autonomous, very detail oriented, and willing to learn new skills
- - Excellent written and verbal communication skills, and an ability to interact efficiently with peers and customers is required
- - The desire and ability to work in a fast paced, collaborative environment is essential
- - Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization
- - Knowledge of industry standard test automation tools and experience in developing product test harnesses and instrumenting products to gather test results
- - Experience creating and expanding powerful automated testing tools and frameworks

• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics area, especially in data warehouse and data lake technologies.• Solutions - Deliver one to many sessions to enable the internal/external teams, support key analytic engagement in GCR, develop reusable technical solutions/contents from AWS services, and harvest valuable assets as landing zones, and cooperate with global team to drive more customer obsession services on AWS.• Entablements - Engagements include short on-site projects proving the use of AWS services to support analytic solutions that often span across different services. Engagements may include migration of existing applications and development of new applications using AWS cloud services.• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
- Experience in deploying and maintaining big data projects.

This role will challenge both your creative and analytical skills. You will build relationships with business stakeholders within AWS and with AWS distribution partners, become a subject matter expert in the distribution channel segment and drive both new partners and new sales campaigns in support of AWS Channel Partners.
Key job responsibilities
• Support the execution of the technology services distribution programs in Thailand and in other ASEAN countries
• Develop structured processes around onboarding, enabling and supporting distribution partners for business and operations
• Work across regional sales and partner teams to nurture a cohort of strategic distribution partners that add significant value to AWS Channel Partners
• Serve as a key member of the AWS distribution team in helping to define and deliver the overall go-to-market strategy
• Own reporting of the distribution business and participate in regular business reviews with leadership and stakeholders
• Utilize salesforce.com and other internal Amazon systems to track key performance metrics
• Willingness to travel 20% and travel mostly in ASEAN.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- 5+years of building teams and development of employees
- Good relationships with Top Distributors in country
- Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales
- - At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- - 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- - 5+years of building teams and development of employees
- - Good relationships with Top Distributors in country
- - Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales

The Training Specialist provides an exceptional learning experience, facilitating blended learning for the AGI-DS org. The role requires the ability to support planning, scheduling, coordination and execution of end-to-end training. The Training Specialist will work close with the Training Manager to track and drive completion of training reporting and task completion through the Learning Management System (LMS). Training Specialists also work to identify areas of improvement at a site level and to drive innovation within training approaches.Key job responsibilities
Facilitate classroom training following the approved curriculum.
Actively work to maintain theoretical proficiency in assigned trainings. Maintain expertise in their current role by staying current on tools, process, procedures, and training techniques.
Manage the classroom to ensure an organized and productive learning environment for all trainees.Ensure trainee success by providing coaching & feedback during training and providing feedback to Training Manager on trainee engagement and performance.Manage relevant tasks within the Learning Management System (LMS), such as enrolment and scheduling of learners & trainings, and troubleshoot any implementation issues.
Publish training reports as per the agreed standard/template.
Collect the feedback on the effectiveness of the training programs/modules/content through training surveys, ongoing observations or while taking the course(s) and shares it with the relevant stakeholders.
Communicate with the relevant stakeholders on the progress and needs of ongoing trainings.

Bachelor’s degree or significant college course work, in communication, education or related field
Good working knowledge (B2+) in both spoken and written English
C1+ or equivalent fluency in German language
Learning/training experience and/or certification
Skilled in and can demonstrate experience with planning, creating, implementing, delivering and assessing various types of training
Communication skills for the purpose of knowledge transfer and skill development, including superior skill in explaining technical topics to novices and collaborating with subject matter experts and managers
Excellent collaboration, coordination and organisation skills
Experience with one-to-many and one-to-one communication skills in both classroom and tutorial settings
Knowledge of adult learning and training practices
Experience working with remote teams
Competent user level of Microsoft Office tools (Word, Excel and PowerPoint)

Bachelor’s Degree in relevant field
Demonstrated working knowledge of eLearning development tools such as Captivate, Articulate Studio/Storyline, Camtasia, Adobe Photoshop/Illustrator, or Flash
Ability to use multiple learning methods and link appropriate methods with subject matter
Experience working with a globally-distributed management organization

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

Key job responsibilities
Solution Design - Define and deliver on-site technical engagements with partners and customers. Activities include participating in pre-sales, understanding customers’ security, risk, and compliance requirements, and providing advice and deliverables based on AWS services.This is an ASEAN customer facing role. You will be required to travel to client locations to deliver professional services when needed.A day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10 years' experience in IT security, compliance, or risk management.- BA/BS degree or equivalent experience.- Hands-on technical expertise in technology automation, implementation, integration, and/or deployment.

- Hands-on technical expertise in building and deploying security solutions, capabilities and infrastructure, with strong scripting skills, i.e., PowerShell, Python, Node.js, JavaScript, Bash, Ruby, Perl, etc.- Technical expertise (design and/or implementation) in Cloud Computing technologies and implementation experience with enterprise security solutions such as SSO, Federation, WAF, IPS, Anti-DDOS, and SIEM.- Experience with Infrastructure-as-Code Tools such as CloudFormation, Terraform, Chef, Puppet, Salt, or Ansible in production environments at scale.- Understanding architectural implications of meeting industry standards such as PCI DSS, ISO 27001, GDPR, and NIST frameworks and relevant regulatory frameworks such as Thailand's Personal Data Protection Act B.E. 2562 (2019), BOT Notifications SorNorSor 21/2562, 6/2561, 11/2561, etc.- Language proficiency: English, Thai (Thailand).