| Python with AWS Developer - Charlotte, NC (hybrid) - ONLY LOCALS at Charlotte, North Carolina, USA |
| Email: [email protected] |
| HI Hope you are doing well Job Title: Python with AWS Developer Location: Charlotte, NC (hybrid) - ONLY LOCALS MUST HAVE PREVIOUS BANKING EXPERIENCE Please don't share Data Engineer profiles. Only share Cloud Native Application Development with Python experience profiles. Onsite in Charlotte for Hybrid model - onsite 3 days a week. Extensive software engineering experience in Python; ** Extensive experience with AWS; **Terraform; ** Experience in Microservice design and architecture; **Must have excellent coding skills, self-starter who will hit the ground running. ** Video conference interview with coding test. Description: Assists higher level developers, or may be responsible for coding, testing, supporting and debugging new or enhanced software and responding to business client issues. Works with higher level developers to learn about design and variety of problems that can exist with current software applications and technologies. Ability to work independently to define, manage, and complete activities. May interact directly with business clients for purposes of gathering and conveying information. Analyzes issues and uses judgment to make decisions. Provides constructive feedback to the team, suggesting actions to improve individual and team performance. Knowledge of coding, testing, supporting and debugging software. Ability to gather and convey information to business clients. Understands how the IT group operates and how his/her role meets customer needs and creates value. Outlines potential cost/savings outcomes of technology use. Tailors the information to appeal to the level and interest of others. To the extent that it is reasonable, goes the extra mile to make sure that each individuals needs are met. Identifies opportunities or problems and acts quickly and decisively to respond to the situation. Takes initiative to work on challenging or stretch work assignments. Takes full advantage of opportunities to develop his/her skills. AI/ML AWS Engineer Culture o We are building Allys model hosting Platform, enabling modeling teams across the organization to host their AI/ML models as APIs in easy, self serve, safe and performant way. We aim to operate like a startup in an enterprise environment, moving quickly and iteratively working with our partners to get to the best solution. The ideal candidate is a strong team player, versatile in their skillset, loves to learn, and welcomes new challenges. Note This role is focused on end-to-end Cloud Native Application Development with Python. This is not a Data Engineering Role. o At Ally, while we have dedicated Devops and Cloud teams, their purpose is to provide shared services and best practices for teams to be self-sufficient. This means that in additional to being able to write robust application logic, developers are also responsible for deploying their own cloud infrastructure with Infrastructure as code, as well as maintaining their CI/CD pipelines and making updates as required. o The ideal candidate can excel in these areas. Tech o At least 7 years of experience in Python programming including application service development. o Ability to design and build serverless and stateful systems on AWS, that are scalable and highly available. o At least 5 years of AWS experience with a variety of services, in priority order but not limited to: Lambda, ECS, S3, DynamoDB, API gateway, Step Functions, SQS, IAM, Security Groups. o Experience with Infrastructure as code (Terraform preferred). o Experience with microservice development patterns. o Experience working in an agile environment. o Experience/ Working knowledge configuring and deploying CI/CD pipelines o Experience with version control like GitLab o AI/ML experience/certification is a plus. o Experience with Apigee is a plus. Thanks & Regards, Manala Priyanka US IT Recruiter Lucid Technologies Inc Email: [email protected] W: www.LucidTechINC.com -- Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology North Carolina |
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| Tue Feb 27 20:46:00 UTC 2024 |