Sr Customer Success Engineer Amazon Redshift jobs at Amazon in United States, East Palo Alto

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 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 responsibilitiesSolve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Build high-quality, highly available, always-on products.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.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.About AWSWork/Life Balance
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 non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 4+ 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
- Strong background in database system internals and query processing fundamentals

- 2+ years of experience with query optimizer architectures, cost based optimizers in OLTP database engines

Key job responsibilitiesSolve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Build high-quality, highly available, always-on products.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.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.About AWSWork/Life Balance
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 non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 4+ 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
- Strong background in database system internals and query processing fundamentals

- 2+ years of experience with query optimizer architectures, cost based optimizers in OLTP database engines

Job Summary
Work/Life Balance
Mentorship & Career Growth10031
Key job responsibilities
As a Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. You will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring.

- 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

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.You will be a proven manager with experience managing teams of high performers. You will have the ability to refine and develop processes to optimize operational excellence in every area of your role. You will be able to drive performance levels to achieve the pace we build and operate our Data Centers at. You will have previous experience in Data Centers, either building or managing (or both) along with exposure to developing great relationships with both internal teams and external vendors.Key job responsibilities- Maintaining existing Data Centers
- Helping build and bring online new Data Centers- Assisting & managing relationships with external vendors & contractors- Ensuring we adhere to and exceed local Health & Safety standards in all our Data Centers
- Creating and maintaining metrics on all aspects of our Data Centers and utilizing those metrics to drive positive changes
- Assisting in implementing service methodologies including incident management, problem management, change management, capacity management, etc.
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.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.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.

- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent
- 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience
- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience

- 2+ years of data center experience
- Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making
- Experience conducting interviews and making effective hiring decisions
- project management certification such as PMP, Scrum, or other Agile certification
- Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3)

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.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
Collaborate with stakeholders to gather requirements and propose effective migration strategies.Providing technical guidance and troubleshooting support throughout project delivery.Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.About the team
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.

3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of cloud architecture and implementation.Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect 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.Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.

As a leader in the Data Center Capacity Delivery (DCCD) organization, you will research, develop, and ensure meticulous and timely delivery of our Data Centers. Principal Commissioning Engineers are hands-on, producing both detailed technical work and high-level program designs and process frameworks. They will aid in establishing testing methodologies, drive standardization, and increase quality across all AWS building sites.The successful candidate will have extensive experience in commissioning, program development and sustainment, and cross-functional collaboration. They must have a proven record of leading commissioning programs on large-scale critical infrastructure deployments, including Quality Control (QC), Startup, Functional Performance Testing (FPT), Integrated System Testing (IST), and cost- and schedule-mitigating measures. This position requires excellence in a fast-paced environment and the ability to manage concurrent responsibilities while supporting parallel initiatives.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.
Key job responsibilities
* Serve as the Subject Matter Expert (SME) for electrical systems and the commissioning program for AWS leased/owned data centers
* Lead and support AWS pre-construction and construction management teams for new data center design and process improvement
* Lead and support AWS product teams and Principal Engineering for new data center design, new products, and product enhancements
* Lead and support reviews of design specifications, testing requirements, and test procedures and standards for adherence to commissioning specifications
* Lead and support workshops that drive alignment on key issues, construction practices, data center designs, and initiatives with the focus of increasing the effectiveness of construction and commissioning while enhancing customer experience and operational excellence
* Assist in Development and delivery of technical training programs for commissioning teams, to ensure consistency in procedures and knowledge transfer
* Conduct regular quality assurance audits of commissioning processes, documentation, and field execution to maintain high standards and identify areas for improvement
* Lead Correction of Errors (COE) investigations, root cause analysis (RCA), and implementation of preventive measures to enhance system reliability and operational efficiency
* Participate in technical interviews for commissioning team members and contractors, ensuring the selection of qualified personnel aligned with AWS standardsAdditional Job Requirements
· Ability and willingness to travel domestic and internationally for up to 50% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.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.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 Electrical/Mechanical Engineering or equivalent, or relevant discipline work experience
- 7+ years’ experience directly related to the commissioning/startup of data centers/critical infrastructure or large-scale, utility systems, mechanical and electrical plant and experience with large infrastructure project execution.
- Strong understanding of construction processes, mechanical and electrical systems, and commissioning methodologies.
- Knowledge of industry standards/best practices related to Commissioning.
- Strategic thinking and long-term vision for technical direction

- Experience carrying design concepts through exploration, development, and into deployment or mass production