דרושים Senior Security Consultant Proserve Asean Risk & Compliance ב-אמזון ב-Thailand, Bangkok

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences
Amazon 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.
Why AWS
Work/Life BalanceMentorship and 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

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.A significant portion of the position focuses on developing and improving automated operational responses, including telemetry monitoring and flight data analysis. The engineer will be responsible for creating and reviewing new scripted operations procedures, enhancing existing automated sequences, and formulating responses to novel scenarios that arise. This work requires close collaboration with GNC and Propulsion design engineers (both hardware and software) to ensure all solutions align with established safety and operational parameters.Professional growth opportunities include potential cross-training in other GNC disciplines, such as attitude determination and control, and supporting the GNC's Flight Dynamics Operations team. This expansion of responsibilities helps ensure comprehensive understanding and support of constellation operations.Given that automated constellation operations run continuously throughout the year, this position requires flexibility in work scheduling. Initially, the role may involve standard working hours with rotating 24/7 on-call responsibilities. As the team expands, the schedule will evolve to cover morning, night, and day shifts across all days of the week, distributed among a team of operators. This scheduling structure ensures continuous coverage and support for the constellation's operational needs.
Key job responsibilities
Operations Engineering
- Serve as primary operational liaison between Propulsion Design Engineering and Kuiper flight operations stakeholders
- Execute defined propulsion operational responses
- Monitor and assess propulsion system health across the constellation
- Support investigation and troubleshooting of in-flight anomalies
- Escalate to responsible engineers for scenarios where existing automation or runbooks do not apply
- Document operational instructions and procedures for the benefit of other Propulsion operatorsAutomation & Software Development
- Develop and enhance operational procedures, both manual and automated
- Create and review scripted operations procedures (i.e. software development)
- Improve telemetry monitoring and flight data analysis capabilities
- Support continuous automation improvements for operational sequences
Risk Management & System Health
- Identify and assess operational risks- Apply and scale mechanisms to asses propulsion system health & maneuverability during all mission phases
- Contribute to improvements propulsion system concepts of operations (CONOPs)Schedule Availability Requirements
- Staff rotating shifts including early morning, late night, and weekends - on a rotating basis constrained by 40h shift assignments
- Respond to needs for 24/7 on-call support on a rotating basis

- 3+ years of industry work experience
- Experience working with version control systems
- Bachelor of Science degree (or equivalent skills/experience) in a relevant technical or engineering discipline (e.g. Mechanical engineering, Computer Science, Aerospace Engineering, Physics)
- Ability to work flexible shifts, including nights, weekends, and holidays
- Proficiency in at least one programming language (Python, or similar)
- Ability to work at computer workstations for extended periods
- Ability to respond to urgent on-call situations
- Experience with real-time system monitoring and anomaly response
- Demonstrated ability to execute technical procedures and follow operational protocols
- Experience with data analysis tools and software

- Experience with distributed systems at scale

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

-5+ years of experience with direct customer (internal or external) interaction with responsibilities in AI / ML / GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.
-A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
-Ability to think strategically about business, solutions and technical challenges.

-5+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
-Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
-AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
-Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

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).

Key job responsibilities
About the team
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

- 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ year of experience in the industry as a ML practitioner
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.