דרושים Business Intelligence Engineer Data Center ב-אמזון ב-United States, Arlington

In this role, you will build network pathways with which customers connect to Amazon's Dedicated Cloud partitions. You'll architect and implement software security protocols across Wide Area Networks (WANs), ensuring seamless and secure access to dedicated cloud environments. By developing sophisticated control and dataplane systems, you'll protect critical customer connections flowing through Amazon's global network of datacenters. You'll leverage the AWS ecosystem and integrate with third-party solutions to create secure pathways that meet our customers' stringent security requirements. Working alongside technology experts across Amazon, you'll define the next generation of dedicated cloud connectivity, setting new standards for enterprise-grade security. Your expertise in network encryption and software development will directly impact how how AWS customers access their mission-critical cloud infrastructure.Key job responsibilities
- Build distributed systems that are scalable, fault-tolerant, low cost, with ease of management and use.
- Participate in oncall rotation in support of our servicesA day in the life
Utility Computing (UC)Work/Life Balance
Mentorship 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.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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- Experience programming with at least one software programming language
- Experience with networking protocols (TCP/IP, BGP, IPSec)

- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with network Layer2/3 encryption(HAIPE/Ethernet Data Encryption(EDE))
- Current, active US Government Security Clearance of Top Secret or above

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.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 cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

Application deadline: Jan 16, 2026Possessing 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.

- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Application deadline: Oct 31, 2025This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.*While this role is posted in Herndon, VA, this position can also be located in: Arlington, VA.About the team
About AWS
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.

- 5+ years of technical engineering experience with operational parameters and troubleshooting for one of the following: Compute / Storage / Networking / CDN / Databases / AI/ML / DevOps / Big Data and Analytics / Security / Applications Development in a distributed systems environment
- Bachelor’s Degree in Computer Science, Math, or related discipline required, or 5 years of equivalent work experience
- Internal enterprise or external customer-facing experience as a technical lead
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- 7+ years of technical engineering experience in operational parameters and troubleshooting for three (3) or more of the following: Compute / Storage / Networking / CDN / Databases / DevOps / Big Data and Analytics / Security/ Applications Development in a distributed systems environment
- Experience in Informational Technology operations
- Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)
- Experience in a 24x7 operational services or support environment
- Experience with AWS services and/or other cloud offerings Federal/DoD Clearances

Key job responsibilities
• Design and maintain automated reporting, dashboards, and analyses to enable our team to increasingly self-serve data needs
• Produce clear and compelling ad hoc charts and visual narratives tailored to specific business questions or communication needs
• Own the data pipeline and automation processes supporting Amazon’s global brand perception tracking program
• Look around corners to identify and execute on future-facing, data-related strategic opportunities
• Identify opportunities to simplify existing research processes and operate more nimbly
• Collaborate closely with researchers, data scientists, and communication leads to translate insights into action
• Partner with cross-functional teams to evolve our tech stack and BI infrastructure in line with growing program needs
• Scale learnings and insights to other teams in CCR and the broader Amazon marketing and communications community

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in Computer Science, Information Systems, or other technical degree
- 3+ years of data engineering, database engineering, business intelligence or business analytics experience
- Knowledge of a scripting language (Python, R, etc.)
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
- Experience communicating to senior management and customers verbally and in writing
- Experience with statistical techniques used for survey design and analytics (e.g., Chi-square, regression)
- Proven ability to work in an interdependent team and develop processes at scale

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
* Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
* Provide customer and market feedback to product and engineering teams to help define product direction
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.AWS Global Services

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years hands on experience with Python to build, train, and evaluate models
- 4+ years technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Application deadline: Dec 17, 2025AWS seeks an FPGA Development Engineer with experience developing programmable logic on the most advanced FPGAs. They will help architect, develop, and integrate scalable FPGA systems in the AWS technology ecosystem.This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance.Key job responsibilities
- Develop custom RTL and integrate with third party libraries to build end to end 100G+ solutions.- Own the interface between software and hardware by developing drivers, and providing software examples.
- Participate in design meetings to plan development and review peer designs.A day in the life
You will work on a cross-functional team of hardware and software developers, writing programmable logic and embedded software to interact with custom hardware. You will debug RTL in simulation, synthesize and implement ensuring it meets timing and performance requirements. You help deploy RTL onto hardware targets and help debug issues that come along in RTL, hardware, or software. You will provide subject matter expertise in architectural discussions, and strategic planning meetings.Utility Computing (UC)Work/Life Balance
Mentorship 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.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.

- Bachelor's degree in computer science or equivalent
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years developing programmable logic in VHDL or Verilog for FPGA SOCs

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience developing programmable logic for FPGAs in VHDL or Verilog
- Experience with Xilinx Ultrascale+ FPGAs, Versal ACAPs, and/or Intel Agilex SOCs
- Experience developing programmable logic for 100G Networking Systems
- Current, active US Government Security Clearance of Top Secret or above