Senior Business Analyst Amazon Key jobs at Amazon in United States, Seattle

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.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

Prime Air is seeking an experienced Supply Chain Engineer who combines technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!As a Senior Supply Chain Engineer within Amazon Prime Air, you will lead supplier performance and manufacturing readiness across multiple product lines. You will drive scalable mechanisms that improve quality, cost, and delivery, while influencing sourcing strategy, design decisions, and supplier capability. Partnering closely with engineering, quality, and operations, you will enable suppliers to achieve rate, yield, and reliability targets—balancing Day 1 agility with the structure needed to scale Prime Air’s hardware production globally.Key job responsibilities
- Define supplier performance strategy across Prime Air programs—driving quality, cost, and delivery improvements through scalable mechanisms and structured governance.- Influence design, sourcing, and manufacturing strategies through data-backed should-cost models and capability insights, shaping long-term supply decisions.- Lead multi-supplier readiness and rate-scaling initiatives, ensuring alignment to roadmap, capacity, and launch objectives across product lines.- Govern complex technical changes and manufacturing validations, ensuring design intent, reliability, and rate readiness across multiple suppliers.- Own cross-functional program integration, coordinating engineering, quality, and operations deliverables to ensure synchronized ramp and readiness milestones.- Establish global supplier health and risk frameworks, driving standardization, visibility, and accountability across the supply base.- Drive systemic improvement programs that eliminate recurring issues and raise overall supplier maturity.- Act as a technical and operational leader, representing SCEO in strategic reviews and influencing Prime Air’s manufacturing and sourcing roadmap.A day in the life
Each day blends Day 1 innovation with disciplined execution. You’ll shift between solving urgent supplier issues, building scalable mechanisms, and aligning hardware production across teams. One hour you’re deep in yield data or a cost model; the next, you’re on the factory floor driving readiness. This role thrives in ambiguity—turning chaos into structure, and structure into scalable systems that deliver quality, cost, and schedule at speed.

- Experience in developing functional specifications, design verification plans and functional test procedures
- 5+ years of electrical or mechanical engineering experience
- Travel up to 50% domestic travel with short notice
- Proven leadership in supplier relationship management, including defining and governing SLAs, performance scorecards, and escalation mechanisms across multiple suppliers or programs.
- Exceptional written and verbal communication skills, with demonstrated ability to influence senior leaders, align cross-functional teams, and represent Supply Chain Engineering in executive and supplier forums.
- Ability to operate with high autonomy in a global environment, including leading onsite supplier engagements and executive reviews with minimal direction

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience in component selection and understanding of component reliability
- 7+ years of experience in supplier management or manufacturing engineering for aerospace, automotive, robotics, or high-precision hardware.
- Expertise developing and governing should-cost models, using cost analytics to influence design strategy, sourcing decisions, and long-term negotiation frameworks.
- Deep understanding of DFM/DFA principles and advanced manufacturing quality tools (PPAP, PFMEA, control plans, process validation), with demonstrated ability to standardize and deploy them across diverse supplier networks.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
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.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.

- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Current, active US Government Security Clearance of Top Secret or above

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.Key job responsibilities

- 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 of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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 artifactsAbout 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.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of experience in cloud architecture and implementation
- 5+ years of hands-on experience in programming languages such as Python, Ruby, Go, Java, JavaScript, .Net, C++, YAML, JSON, and TypeScript
- 5+ years of experience developing scalable CI/CD strategies with tools such as Jenkins, Azure DevOps, GitLab, ArgoCD, GitHub Actions, and Harness
- 5+ years of experience with Infrastructure as Code such as CloudFormation, Terraform, or CDK

- 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) 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
- Hands on experience with microservice and serverless orchestration architectures such as Kubernetes, EKS, Docker, and Lambda
- Hands on experience designing and implementing ETL data pipelines (Kafka, Airflow, Spark, Hadoop, Glue), MLOps pipelines (Sagemaker, MLFlow, Kubeflow), or LLMOps pipelinesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application deadline: Dec 31, 2025In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You may identify when technical implementations have defects or are not highly available, performant, or maintainable. You understand operational risk and avoid taking unnecessary risks. You identify operational concerns and resolve, mitigate, or escalate the concerns in a timely manner.This is a shift work position. This team works 24/7 operations, and may require you to work some nights and/or weekends.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.About the team
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.

- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+
- 2+ years of systems administration (Linux or Windows) experience
- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience
- Experience troubleshooting and debugging technical systems, or experience in technical support
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Experience with internet fundamentals and cloud computing concepts
- Knowledge of databases, storage and big data concepts
- Experience with AWS core services, Command Console, or command line interface
- Experience with Virtualization (VMware, Xen, Hypervisor)
- Experience with security concepts and best practices
- Experience with IPsec, VPN, Load Balancing, Iperf, MTR, Routing Protocols, SSH, Network Monitoring / Troubleshooting tools Experience managing full application stacks from the OS up through custom applications

- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.