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AWS Software Engineer | Remote - US

IXIS

Salary not specified
Aug 28, 2025
Remote, US
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IXIS is seeking an individual with experience building cloud-first software in AWS to join their team in developing cutting-edge, custom analytics and data socialization solutions.

Requirements

  • 5+ years of professional experience building resilient, scalable, and performant REST and/or GraphQL APIS in an AWS serverless architecture
  • 3+ years of Python development experience
  • 3-5 years of real-world experience with SQL and NoSQL
  • Advanced relational database design skills
  • Experience building CI/CD pipelines
  • Experience with data streaming using tools like AWS Kinesis or Kafka
  • Experience with statistical programming, ideally in R or Python

Responsibilities

  • Design and develop application logic, GraphQL APIs, and storage to support the application features
  • Build enterprise-grade batch and real-time data processing pipelines leveraging the AWS cloud platform, with an emphasis on serverless architectures
  • Incorporate proprietary schemas and models to help transform, analyze, and visualize customer data
  • Work with the Data Science and Development teams to design, implement, and facilitate data ingest, extraction, and integration across multiple programming languages (primarily R, Python, and node.js) directly and via REST and GraphQL APIs
  • Design and implement automated acceptance and reliability tests based on business requirements and company standards
  • Design robust, appropriately normalized schemas for warehousing a wide variety of datasets and determine when SQL vs. NoSQL solutions are preferred
  • Design and manage the AWS serverless infrastructure to ensure scalability, performance and security

Other

  • Full-time position with the option to work remotely or in a hybrid capacity
  • Collaborate with other engineers and data scientists
  • Collaborate with technical, data science, QA, and operational resources
  • Learn about and share: new ideas, methodologies, techniques, and technology through mentoring, pair programming, and code reviews
  • Core critical thinking skills, including good data intuition