Senior Backend Developer - Python
Job Summary
Job Description
We are seeking a Senior Backend Developer with Python expertise to develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models. Responsibilities include implementing and managing CI/CD pipelines, automating cloud infrastructure with Terraform, writing various types of tests, and working in an agile team environment. You will also support the administration of Data Science experimentation environments, monitor and optimize application performance, and collaborate with data scientists to deploy models. Additionally, you will educate others on coding standards and work with cross-functional teams for seamless integration. This role offers opportunities for career progression, training, bonuses, and social activities.
Must have:
- 5-8 years of software engineering experience
- Proficiency in Python
- High-quality code with unit testing
- Strong object-oriented design
- Strong AWS cloud services experience (EKS, Lambda, S3)
- Knowledge of Docker and Kubernetes
- Experience with monitoring and logging tools
- Knowledge of message queues and event-driven architectures
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions)
Good to have:
- Familiarity with Terraform
- Experience in Azure or GCP cloud services
- Proficiency in C# or Java
- Experience with SQL and NoSQL databases
- Knowledge of Machine Learning concepts
- Experience with Large Language Models
23 skills required
Job Details
Description
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
- Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models.
- Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery.
- Automate cloud infrastructure using Terraform.
- 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.
- 5-8 years of experience in software engineering
- Proficiency in Python
- 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
- Strong experience 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).
- Experience with CI/CD pipelines in Azure DevOps and GitHub Actions.
What you’ll bring
- Familiarity with infrastructure as code (IaC) using Terraform.
- Experience in Azure or GPC cloud services
- Proficiency in C# or Java
- 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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