Company:
LanceSoft Inc
Location: Charlotte
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Culture:
Our client is building Generative AI Platform, enabling teams and applications across the organization to leverage AI in a safe and performant way. They 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.
At client, while they 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.
The ideal candidate can excel in these areas.
Tech:
At least 7 years of experience in Python programming including application service development.
Ability to design and build serverless and stateful systems on AWS, that are scalable and highly available.
At least 5 years of AWS experience with a variety of services, in priority order but not limited to:
Lambda, ECS, S3, Dynamo DB, API gateway, SQS, IAM, Security Groups.
Experience with Infrastructure as code (Terraform preferred).
Experience configuring and deploying CI/CD pipelines in Gitlab.
Experience with microservice development patterns.
Experience working in an agile environment.
AI/ML experience/certification is a plus.
Experience with Apigee is a plus.
Our client is building Generative AI Platform, enabling teams and applications across the organization to leverage AI in a safe and performant way. They 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.
At client, while they 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.
The ideal candidate can excel in these areas.
Tech:
At least 7 years of experience in Python programming including application service development.
Ability to design and build serverless and stateful systems on AWS, that are scalable and highly available.
At least 5 years of AWS experience with a variety of services, in priority order but not limited to:
Lambda, ECS, S3, Dynamo DB, API gateway, SQS, IAM, Security Groups.
Experience with Infrastructure as code (Terraform preferred).
Experience configuring and deploying CI/CD pipelines in Gitlab.
Experience with microservice development patterns.
Experience working in an agile environment.
AI/ML experience/certification is a plus.
Experience with Apigee is a plus.
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