Software Engineer Intern

November 6

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Sleep apnea • COPD • Out-of-hospital care • Home medical equipment • durable medical equipment

5001 - 10000

💰 Post-IPO Debt on 2019-07

Description

• Assist in the design, development, implementation, and deployment of AWS cloud solutions. • Assist in the development of high-performance, scalable, and resilient web applications, back-end services, and database solutions. • Assist in providing incident management, change management, application support, monitoring, and Tier 2 support as part of the full cycle team responsibilities. • Pair with senior developers to design software solutions. • Participate in code reviews, following coding standards and best practices, including secure coding guidelines. • Write clear, well commented, and easy to understand code. • All engineers are expected to place a strong emphasis on writing automated tests, including unit tests, integration tests, and end-to-end functional tests. • May be part of an on-call support rotation. • Other tasks and responsibilities as assigned.

Requirements

• Strong object-oriented design and programming skills. • Excellent verbal and written communication skills. • Experience working with and managing container development, deployment and operations on AWS, specifically with EKS on Fargate. • Experience developing Serverless applications using AWS Lambda, Dynamo DB, SNS, SQS, S3, Amazon API Gateway, OpenSearch. • Experience with Git, GitHub, Confluence, and JIRA is an asset. • Experience with CI/CD tools (e.g. GitHub, CodePipeline) and infrastructure as code tools (e.g. Terraform, CloudFormation) is an asset. • Experience working with, or an understanding of, NoSQL databases and relational databases is an asset. • Experience with test-driven development (TDD) is an asset. • An understanding of 12-factor applications and cloud-native principles is an asset. • Experience with various message brokering architectures (pub/sub queues, request/response) and data streaming is an asset. • AI, Machine Learning, and Data Engineering experience is an asset. • Experience in Java, Python, or C#, targeting multiple platforms (e.g. Windows, Linux) and application types (e.g. console, web site, REST API). • Experience with front-end frameworks (e.g. JavaScript, TypeScript, Node.js, Angular, React) and web servers (e.g. Apache, Nginx, IIS). • Experience with testing frameworks (e.g. Junit, Nunit, PlayWright), and testing tools (e.g. JMeter, Postman, Cucumber)