Software Development Engineer , AWS SMGS Ops DP&I - Atlas

Amazon • Seattle, WA

1d

About The Position

Join us in building on AWS, for AWS! Amazon Web Services has been the global leader in cloud computing since 2006, providing a robust platform that powers hundreds of thousands of businesses in over 190 countries. Developers all over the world rely on our storage, compute, and virtualized services. The Sales,Marketing and Global Services Operations - Atlas team’s success depends on delivering trusted, extensible, and high-quality intelligence that empowers our go-to-market (GTM) teams and enhances customer engagement at scale. The Atlas team builds and operates the foundational customer intelligence that powers AWS Sales field. Atlas integrates external firmographic data with internal AWS datasets to create a unified, scalable view of customers and accounts. This intelligence layer is critical to enabling the Field organization with accurate insights , improved account targeting and better customer engagement at scale. We’re looking for a Software Development Engineer to design and deliver solutions that combine machine learning, distributed big data technologies, and web application/service development. We're building solutions to achieve amazing feats with data, to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of programming with at least one software programming language experience
• 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
• Bachelor's degree in computer science or equivalent

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

• Design, develop, and maintain scalable data ingestion solutions to solve complex and ambiguous data challenges for large-scale datasets
• Build highly available, secure, distributed systems in microservices, container, and distributed cluster-compute architectures with comprehensive data validation frameworks
• Develop serverless applications using AWS Lambda, S3, CloudWatch, and Glue services while implementing infrastructure as code through AWS CDK for automated deployment and monitoring
• Apply Machine Learning to solve challenging data problems at scale
• Work with AWS technologies such as Glue, EMR, S3, DynamoDB, Redshift, ElasticSearch, Lambda, SQS, SNS, API Gateway 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 member of a Scrum team
• Play an instrumental role in defining system architecture, own and implement specific components, and help shape the overall user experience for a data-focused product

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level