Full stack
1 week ago
Description
Job ID 6058
Why Ness
We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You'll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
Requirements And Responsibilities
What you'll do
- Experience writing back-end applications using Python
- Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models.
- Write unit tests, integration tests and performance tests
- Work in a team environment using agile practices
- Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers
- Monitor and optimize application performance and infrastructure costs.
- Collaborate with data scientists and other developers to integrate and deploy data science models into production environments
- Educate others to improve and coding standards, code quality and test coverage, documentation
- Work closely with cross-functional teams to ensure seamless integration and operation of services.
What You'll Bring
Basic Required Qualifications:
- Level expectations: owns feature design, integration.
- Proficiency in Python and JavaScript for full-stack development.
- Strong TDD practices
- Strong specialization in writing front-end web applications using JavaScript and React
- Experience in writing and maintaining high quality code – utilizing techniques like unit testing and code reviews
- Strong understanding of object-oriented design and programming concepts
Additional Preferred Qualifications:
- Experience with for full-stack development
- Knowledge with AWS cloud services, including EKS, Lambda, and S3.
- Knowledge of Docker containers and orchestration tools including Kubernetes
- Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana).
- Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka).
- Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery.
- Experience with SQL and NoSQL databases
- Knowledge of Machine Learning concepts
- Experience with Large Language Models
Not checking every single requirement?
If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let's meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
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