דרושים Operations Engineer Deployment & Ramp Mechatronics ב-אמזון ב-United States, Chicago

In 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.
A day in the life
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.

- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+
- 1-3 years of experience with Systems Administration in Linux/Unix (Ubuntu, CentOS, RedHat, Solaris, etc.)
- 1-3 years of experience with Networking (TCP/IP, DNS)
- 1-3 years of experience with Troubleshooting / Support for technical IT issues
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Experience with internet fundamentals and cloud computing concepts
- Experience with AWS core services, Command Console, or command line interface
- Experience with compute, database and storage concepts
- 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

A successful engineer in this role is :
- Highly analytical: You solve problems in innovative ways that help us achieve our success metrics. You focus on driving processes, tools, and statistical methods which support rational decision-making.
Key job responsibilities
You will:
- Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (e.g. Product, User Experience) to ensure that we're focused on delivering the right product(s) for our customers.A day in the life

- 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

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:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
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.

- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ 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)
- 3+ 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)

- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)

A successful engineer in this role is :
- Highly analytical: You solve problems in innovative ways that help us achieve our success metrics. You focus on driving processes, tools, and statistical methods which support rational decision-making.
Key job responsibilities
You will:
- Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (e.g. Product, User Experience) to ensure that we're focused on delivering the right product(s) for our customers.A day in the life

- 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

Designing API-based services in NAWS that enable scalable platforms for both internal and external partners.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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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

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:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
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.

- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ 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)
- 3+ 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)

- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)

Export Control Requirement:
Key job responsibilities
• Lead the design and architecture of SAP solutions across complex supply chain modules for end to end designs for MM, PP, EWM, EWM, MES, TM and other active/to be activated components.
• Run initiatives to assess new projects, develop comprehensive solution blueprints and techno-functional specifications aligned with business requirements
• Guide functional and technical teams through implementation, ensuring best practices and standards compliance
• Provide expertise in procurement processes, manufacturing processes, production planning, and logistics optimization
• Review solution designs, process flows and Key design decisions documents
• Lead technical decision-making and problem resolution
• Collaborate with stakeholders to understand business needs and translate them into technical solutions
• Mentor junior team members and provide technical guidanceA day in the lifeYou will bring in your experience working on complex SAP supply chain and manufacturing solutions for automotive/Aerospace&Defense to develop solutions that are thought through end to end (engineering, manufacturing execution to financial accounting)

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud