Senior System Development Engineer level 6 Central Reliability Maintenance Engineering
Senior System Development Engineer level 6 Central Reliability Maintenance Engineering
Posted on :
18-04-2025
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1 Vacancy
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Job Description
At Amazon we believe that Every Day is still Day One! Were working to be the most customercentric company on earth. Are you passionate about pushing the boundaries of semantic technologies and knowledge graphs Do you want to shape the future of datadriven decisionmaking at one of the worlds most innovative companies
At Amazons Central Reliability Maintenance Engineering team (CRME) we are looking for a talented Senior System Development Engineer to fasttrack our nextgeneration of graphbased AI systems that integrate all services and insights important to deliver WorldClass AIaugmented maintenance practices.
As a Sr. System Development Engineer in Decision Science and Technology you play a critical role in advancing AI technologies that enable our internal customers to leverage maintenance and equipment health data stored in our RME knowledge graph. You will work with a wide range of partner teams and will be a key contributor to the design and implementation of new AI solutions as well as overall crossfunctional systems integrations. You will work with internal RME customers >35000 customers worldwide) to develop requirements for new and current Knowledge Experience and Technology (KxT) solutions. You will work closely with the teams Senior Scientists and Knowledge Graph Engineer to propose architect develop and deploy stateoftheart systems that process data and facts from structured semi structured and unstructured knowledge sources in realtime. Your daily activities will range from strategic planning architecture design new systems development to supporting the customers that leverage your deliverables.
You will work closely with the teams Scientists and Knowledge Graph Engineer to propose architect develop and deploy stateofthe art systems that process data and facts from structured semi structured and unstructured knowledge sources in realtime. Your daily activities will range from strategic planning architecture design new systems development to supporting the customers that leverage your deliverables.
Key job responsibilities
As a Senior Systems Development Engineer you will work backwards from our customer experience to design implement test deploy and maintain high quality highly available innovative graphbased solutions that meet business requirements and transform orgwide decisionmaking capabilities. You will:
Lead the design implementation and successful delivery of graphbased and neurosymbolic AI solutions addressing complex customer problems by developing new softwares systems infrastructure or refactor existing / legacy products;
Translate complex functional and technical requirements into detailed architecture and design documentation and lead reviews of architecture design operations processes and postincident analysis for Knowledge Experience and Technology team;
Work closely with our Senior Knowledge Graph engineer to design and implement highthroughput costeffective knowledge pipelines to extract transform and load data and information from knowledge sources of different types and format;
Collaborate with our Scientists on the design and optimization of graph traversal query and indexing approaches to ensure faster data retrieval and scalability of our solutions;
Contribute to develop the teams technical strategy by closely working with and influencing other teams Technical Program Managers or Product Managers;
Drive automation initiatives and refactoring of existing solutions including incorporating extractive and / or generative AI as well as machine learning (ML) components where they bring the most value;
Deliver technical solutions which improve engineering and operational processes within the team as well as reduce complexity and work to apply those improvements within our team and with partner teams to enable greater agility and deliver faster on behalf of our customers; and
Report and analyze usage patterns of the tools and services that you deliver.
About the team
The Amazon Reliability and Maintenance Engineering (RME) team maintains and optimizes technologies ranging from large modern purposebuilt warehouses utilizing robotics and highvolume conveyance all the way through the value chain to small highspeed warehouses placed as close to our customers as possible. Central Reliability Maintenance Engineering (RME) uses science and data to drive scalable maintenance best practices across Amazon business units globally. We do this to meet our customer promise reduce costs and support the Climate Pledge. The Decision Science & Technology (DST) team within Reliability Maintenance Engineering (RME) specializes in advanced analytics and artificial intelligence solutions. The team uses machine learning to develop predictive models for spare parts cyclebased maintenance predictive maintenance energy consumption and refrigeration health status monitoring programs. We also leverage knowledge representation and reasoning approaches to support troubleshooting tools accelerate root cause analyses and enhance knowledge management systems.
BASIC QUALIFICATIONS
Bachelors or Masters degree in computer science software engineering computer engineering or equivalent
Experience with modern programming languages such as Python C JavaScript or Go including objectoriented design
5 years of noninternship professional software development experience including development life cycle coding standards code reviews source control management build processes and testing
5 years of noninternship experience designing architectures (design patterns reliability and scaling) of new and existing systems
Experience automating building and testing system including CI/CD pipelines build processes
PREFERRED QUALIFICATIONS
Experience in systems development with a focus on largescale data systems knowledge graphs or graphbased technologies
Strong knowledge of data structures algorithms big O analysis and designing for performance scalability and availability
Strong understanding of graph data structures algorithms and graph database technologies
Experience as a mentor tech lead or leading an engineering team
Experience in other cloud computing platforms such as AWS
Knowledge of a frontend technologies such as JavaScript Rust React CSS HTML etc
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazons Central Reliability Maintenance Engineering team (CRME) we are looking for a talented Senior System Development Engineer to fasttrack our nextgeneration of graphbased AI systems that integrate all services and insights important to deliver WorldClass AIaugmented maintenance practices.
As a Sr. System Development Engineer in Decision Science and Technology you play a critical role in advancing AI technologies that enable our internal customers to leverage maintenance and equipment health data stored in our RME knowledge graph. You will work with a wide range of partner teams and will be a key contributor to the design and implementation of new AI solutions as well as overall crossfunctional systems integrations. You will work with internal RME customers >35000 customers worldwide) to develop requirements for new and current Knowledge Experience and Technology (KxT) solutions. You will work closely with the teams Senior Scientists and Knowledge Graph Engineer to propose architect develop and deploy stateoftheart systems that process data and facts from structured semi structured and unstructured knowledge sources in realtime. Your daily activities will range from strategic planning architecture design new systems development to supporting the customers that leverage your deliverables.
You will work closely with the teams Scientists and Knowledge Graph Engineer to propose architect develop and deploy stateofthe art systems that process data and facts from structured semi structured and unstructured knowledge sources in realtime. Your daily activities will range from strategic planning architecture design new systems development to supporting the customers that leverage your deliverables.
Key job responsibilities
As a Senior Systems Development Engineer you will work backwards from our customer experience to design implement test deploy and maintain high quality highly available innovative graphbased solutions that meet business requirements and transform orgwide decisionmaking capabilities. You will:
Lead the design implementation and successful delivery of graphbased and neurosymbolic AI solutions addressing complex customer problems by developing new softwares systems infrastructure or refactor existing / legacy products;
Translate complex functional and technical requirements into detailed architecture and design documentation and lead reviews of architecture design operations processes and postincident analysis for Knowledge Experience and Technology team;
Work closely with our Senior Knowledge Graph engineer to design and implement highthroughput costeffective knowledge pipelines to extract transform and load data and information from knowledge sources of different types and format;
Collaborate with our Scientists on the design and optimization of graph traversal query and indexing approaches to ensure faster data retrieval and scalability of our solutions;
Contribute to develop the teams technical strategy by closely working with and influencing other teams Technical Program Managers or Product Managers;
Drive automation initiatives and refactoring of existing solutions including incorporating extractive and / or generative AI as well as machine learning (ML) components where they bring the most value;
Deliver technical solutions which improve engineering and operational processes within the team as well as reduce complexity and work to apply those improvements within our team and with partner teams to enable greater agility and deliver faster on behalf of our customers; and
Report and analyze usage patterns of the tools and services that you deliver.
About the team
The Amazon Reliability and Maintenance Engineering (RME) team maintains and optimizes technologies ranging from large modern purposebuilt warehouses utilizing robotics and highvolume conveyance all the way through the value chain to small highspeed warehouses placed as close to our customers as possible. Central Reliability Maintenance Engineering (RME) uses science and data to drive scalable maintenance best practices across Amazon business units globally. We do this to meet our customer promise reduce costs and support the Climate Pledge. The Decision Science & Technology (DST) team within Reliability Maintenance Engineering (RME) specializes in advanced analytics and artificial intelligence solutions. The team uses machine learning to develop predictive models for spare parts cyclebased maintenance predictive maintenance energy consumption and refrigeration health status monitoring programs. We also leverage knowledge representation and reasoning approaches to support troubleshooting tools accelerate root cause analyses and enhance knowledge management systems.
BASIC QUALIFICATIONS
Bachelors or Masters degree in computer science software engineering computer engineering or equivalent
Experience with modern programming languages such as Python C JavaScript or Go including objectoriented design
5 years of noninternship professional software development experience including development life cycle coding standards code reviews source control management build processes and testing
5 years of noninternship experience designing architectures (design patterns reliability and scaling) of new and existing systems
Experience automating building and testing system including CI/CD pipelines build processes
PREFERRED QUALIFICATIONS
Experience in systems development with a focus on largescale data systems knowledge graphs or graphbased technologies
Strong knowledge of data structures algorithms big O analysis and designing for performance scalability and availability
Strong understanding of graph data structures algorithms and graph database technologies
Experience as a mentor tech lead or leading an engineering team
Experience in other cloud computing platforms such as AWS
Knowledge of a frontend technologies such as JavaScript Rust React CSS HTML etc
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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