Description
- 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
- 3+ years programming experience in at least one of the following languages: Java, Scala, Typescript, C/C++ including object-oriented design experience.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Amazon Web Services is looking for an experienced software development engineer with a passion for taking on big data and large-scale distributed systems without compromising on operational excellence. This position is an engineering role within one of the teams within the organization that builds SD-WAN connectivity services such as Transit Gateway and Cloud WAN. The team is the data platform team and owns the data architecture and components for enabling network observability and metering.
The ideal candidate is willing to dive deep to understand high-volume and low-latency messaging, processing, storage and querying challenges and craft solutions to address foundational concerns or build on top of existing capabilities. You will have an in-depth knowledge of streaming data technologies and experience with data processing frameworks like Apache Spark, Apache Flink or Kafka and AWS services such as Redshift, Athena, S3, EC2, Lambda, SNS/SQS, Kinesis.
Your responsibilities will include collaborating with other engineers to build new services, identify design and code updates needed to existing services with an eye towards reliability, quality, frugality, scalability and performance.
You will possess exceptional communication and teamwork skills, a knack for rapidly grasping and implementing new technologies and are detail-oriented.
About the team
Our team fosters an inclusive culture and is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds.
- 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
- 3+ years programming experience in at least one of the following languages: Java, Scala, Typescript, C/C++ including object-oriented design experience.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Amazon Web Services is looking for an experienced software development engineer with a passion for taking on big data and large-scale distributed systems without compromising on operational excellence. This position is an engineering role within one of the teams within the organization that builds SD-WAN connectivity services such as Transit Gateway and Cloud WAN. The team is the data platform team and owns the data architecture and components for enabling network observability and metering.
The ideal candidate is willing to dive deep to understand high-volume and low-latency messaging, processing, storage and querying challenges and craft solutions to address foundational concerns or build on top of existing capabilities. You will have an in-depth knowledge of streaming data technologies and experience with data processing frameworks like Apache Spark, Apache Flink or Kafka and AWS services such as Redshift, Athena, S3, EC2, Lambda, SNS/SQS, Kinesis.
Your responsibilities will include collaborating with other engineers to build new services, identify design and code updates needed to existing services with an eye towards reliability, quality, frugality, scalability and performance.
You will possess exceptional communication and teamwork skills, a knack for rapidly grasping and implementing new technologies and are detail-oriented.
About the team
Our team fosters an inclusive culture and is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds.
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