Software Development Engineer: AI, ML & Cloud Data

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. in Seattle is seeking a Software Development Engineer to design and deliver solutions that combine machine learning, distributed big data technologies, and web application/service development.

You will build highly available, secure distributed systems and apply ML at scale, working with AWS services such as Glue, S3, RedShift, DynamoDB, ElasticSearch, Lambda, SQS, SNS, API Gateway, Quick and more.

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture experience for systems.
• Experience programming with at least one software language.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• Design solutions to complex and ambiguous data challenges, starting from first principles
• Build highly available, secure distributed systems in microservices and container architectures
• Apply Machine Learning to solve challenging data problems at scale
• Work with AWS technologies such as Glue, S3, RedShift, DynamoDB, ElasticSearch, Lambda, SQS, SNS, API Gateway, Quick and more
• Apply software development best practices in terms of quality and security
• Utilize object-oriented software design to build scalable, maintainable systems
• Contribute to planning, design, implementation, testing, operations, and process improvement as a Scrum team
• Define system architecture and own components for a data-focused product

Skills

Software development experience

Design patterns & architecture

Programming language proficiency

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Web Services, Inc. in Seattle is seeking a Software Development Engineer to design and deliver solutions that combine machine learning, distributed big data technologies, and web application/service development.

You will build highly available, secure distributed systems and apply ML at scale, working with AWS services such as Glue, S3, RedShift, DynamoDB, ElasticSearch, Lambda, SQS, SNS, API Gateway, Quick and more.