דרושים Application Security Engineer Aws Support - Kumo ב-אמזון ב-United States, Dallas

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 artifactsDiverse 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.AWS Global Services

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 1+ years in automating security operations including scripting and automation to build scalable and secure environments, automating security assessments and remediation workflows, and implementing security policies as code
- 1+ years in advanced incident response to lead response efforts including leading detection and analysis efforts and managing eradication processes
- 3+ years of experience with security services and best practices including: implementing security controls and optimizing security measures

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Certified Security Specialty) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Understanding of industry standards (e.g., PCI-DSS, ISO 27001, HIPAA, NIST frameworks
- Implementation experience with enterprise security solutions (e.g., WAF, IPS, Anti-DDOS, SIEM)

Key job responsibilities
- Serve as a Subject Matter Expert (SME) on the incident response & technical investigation lifecycle, owning the deep dive and coordination to turn data into information.
- Respond to Incidents in a timely manner, providing leadership & guidance to all security analysts.
- Conduct deep-dive investigations into threat and fraud abuse reports and detections- Attend internal and external training regarding security engineering and response.
- Find opportunities to improve from large-scale security incident investigations.
- Participate in or lead post-mortem analyses.- Develop and mentor other security engineers, analysts, investigators, and software developers.About the team
Diverse Experiences
Amazon Security 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.
Work/Life Balance

- Bachelor’s degree in Computer Science, Engineering, related discipline, or equivalent experience
- 3+ years of work in related technical roles (such as threat hunting, threat intelligence, security data analysis, etc.)
- 3+ years of experience with cloud technologies (AWS preferred, Azure, Google Cloud, etc)
- 3+ years of experience using data analysis tools and technologies, such as SQL, Jupyter, R, Python
- 3+ years of experience with incident handling/response, active attacks / live scenarios / applied computer security

- Master’s degree in mathematics, computer science, or related engineering disciplines
- Extensive knowledge of computing security issues and threat vectors and experience with security architecture, system architecture, threat modeling, reverse engineering, malware analysis, adversary methodologies, and/or threat intelligence
- Effective written, communication and organizational skills
- Experience with cross-organizational collaboration and creation of remediation plans
- Standing relationships with global associations relevant to the position

Key job responsibilities
- Design and implement highly scalable and realistic simulation environments for training agents using reinforcement learning.
- Develop and deploy generative AI approaches to automate the creation of diverse and complex simulation environments and scenarios.
- Analyze, troubleshoot, and profile complex machine learning systems within the simulation context, identifying and resolving performance bottlenecks.

- PhD, or Master's degree or 5+ years of applied research experience
- Experience programming in C++, Python or related language
- Experience with simulation and synthetic data generation
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field
- 3+ years' experience building machine learning models (includes internships)
- Demonstrated experience in developing and implementing simulation environments or synthetic data generation for reinforcement learning.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
• Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives.
• Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes.
• Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders’ dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues.
• Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies.
• Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors.
• Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team.
• Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams.
• Support change order controls, purchase orders, and invoice validation/approvals.
• Excel at building strong working relationships with internal and external stakeholders across multiple projects.
• Identify and lead process improvement initiatives that improve the Engineering and cross-teams’ efficiencies, optimizing the teams’ value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time.
• Travel 75% domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends.

- Bachelor’s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
- 4+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
- Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
- Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
- Experience supporting deployment of new product/technology and/or large material handling and automation installations in a construction environment to include safety and permitting requirements.

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 implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- 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 cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
• Medium and low voltage power systems
• Generators
• UPS
• HVAC (Air Handlers / Exhaust Fans / VFD)
• Chilled Water Systems
• Building Management systems (BMS)
• Electrical Power Monitoring Systems (EPMS)
• Testing and balancing
• Pumps and Hydronic systemsKey job responsibilities
As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects’ successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements.You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors’ activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
A day in the lifeAmazon 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.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 engineering, installation, or startup/commissioning of electrical and mechanical systems experience
- Bachelor’s degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
- High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
- Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
- Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.

- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred
- Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams
- Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures
- Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.)
- Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals

Application deadline: Nov 10, 2025Key job responsibilities
1. Working backward from customer needs, develop and evolve AWS's application modernization value proposition and engagement mechanisms.
4. Develop global mechanisms to deliver GTM elements that may include consultative workshops, reference materials, partner engagements, linkages to other Amazon programs.A day in the lifeABOUT AWS: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.

- 7+ years of developing, negotiating and executing business agreements experience
- 7+ years of professional or military experience
- Bachelor's degree
- 5+ years of experience developing and implementing organizational strategies resulting in measurable business outcomes"