
Open since Oct 2021
DevOps Engineer
AI Summary
Designs, deploys and manages the infrastructure, CI/CD pipelines and monitoring that support software engineering teams and move code from dev and QA to production. Works with engineers to turn requirements into scalable platform solutions.
About this role
At LendingPoint, we believe that everyone deserves to feel the power of possibilities. As an online fintech company, we’ve created advanced consumer, small business, and merchant point-of-sale lending solutions to unlock access to affordable loans and empower those working to build their financial potential. By creating technology that sees your potential, we’re driving a better lending and borrowing experience by finding more reasons to say “yes.”
More than just a job, LendingPoint is an exciting career choice where you’ll bring your expertise and experience to a talented team focused on fostering positive new customer experiences that inspire loyalty.
Are we speaking about you? Then keep reading.
What You’ll Do Day to Day:
Effectively supports the software engineering teams through building and maintaining the tools, services, and platforms necessary to power LendingPoint’s production environments. Successfully performs infrastructure engineering assignments through various development and automation tools to stage and deploy of code throughout the organization.
ESSENTIAL JOB FUNCTIONS:
- Design, deploy, and manage the infrastructure and services supporting the product software engineering teams.
- Operate and maintain the systems for deployment of products from dev/test/QA to production.
- Work closely with other parts of the engineering organization to turn requirements into solutions.
- Plan for and manage the rapid growth of the platform and supporting services.
- Implement robust and scalable monitoring and alerting.
- Develop, maintain, and augment operational documentation.
MINIMUM QUALIFICATIONS:
- 5+ years’ experience as a development, systems, or infrastructure admin or engineer.
- Experience working with public cloud platforms such as AWS, Azure, and GCP.
- Knowledge of CI/CD, artifact, and scanning systems such as Jenkins, Artifactory, and X-Ray.
- Experience with managing and deploying Docker containers.
- Experience with Java, MuleSoft, Salesforce, Flowable or similar development tools.
- Expert level knowledge of UNIX/Linux operating systems.
- Experience with code repository tools such as Bitbucket, Git, etc.
- Familiarity with network and infrastructure security concepts and solutions.
- Comfort in a large scale and rapidly growing environment.
Skills
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