Senior Operations Engineer Engineering jobs at Amazon in United States, Dallas

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

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 industry business and IT Advisory professional, you will be responsible for:2. Leading cloud operations transformations, including the design of cloud operating models, organizational change management strategies, FinOps implementations, and cloud governance frameworks.3. Driving enterprise transformations leveraging cloud and emerging technologies through program management, value realization strategies, and cloud strategy development.4. Spearheading data and AI transformations, with a focus on Generative AI advisory for delivery, user adoption, operations transformation, and AI governance.5. Orchestrating large-scale cloud migration and modernization plans, aligning application portfolios with business priorities and architecting data center exit strategies.6. Cultivating strategic relationships with C-suite executives and key stakeholders to become a trusted advisor on cloud transformation initiatives.A day in the life
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 in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in management consulting or internal technology advisory roles, with minimum 2 completed projects in any of the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience in enterprise cloud transformation initiatives involving C-suite executives with at least 1 project from the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience working cross-functional with teams of 10+ members each, managing complex programs spanning at least 2 distinct organizations per program

We desire you to have an established background in design, development and operations of highly scalable and available distributed systems. You must have strong technical skills, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. It is a highly technical space. You are a strong technical contributor who understands the big picture, drives prioritization, builds consensus, and rallies the team behind it. Responsibilities include driving architecture, design, and implementation of complex components while maintaining an uncompromising bar on quality and mentoring junior developers for software within the team.Utility Computing (UC)
Key job responsibilitiesA day in the life
You will communicate a lot, with the team, peers and management. Communication happens over different channel; Slack, email, and Chime. You will prepare and review design docs, project plans, features one pagers, incident retrospectives, change requests and progress reports. And for sure, you will write and review code, and work with CI/CD tools.
About AWS
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.Work/Life BalanceMentorship & 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 non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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

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.

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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 6+ 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)
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- 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.

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)

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.