Position: Specialty Software Engineer 4
Location: Irving (preferred): Minneapolis, Chandler, Charlotte (alternates)
Duration: Contract
Job ID: 178036
Job Overview: We are seeking a highly skilled and experienced Senior Full Stack Engineer to join our team. The ideal candidate will have a strong background in full-stack development, with expertise in Python, React, cloud architecture, and machine learning solutions. This role involves designing, developing, and deploying advanced software solutions while collaborating in a hybrid work environment.
Responsibilities: - Develop and maintain full-stack applications using Python for backend and React for frontend.
- Design and implement REST APIs, microservices, and distributed systems.
- Leverage Microsoft Azure for development and deployment, with additional experience in AWS and/or Google Cloud Platform.
- Develop machine learning solutions, including advanced AI modeling, evaluation, optimization, and deployment.
- Build or integrate chatbots and conversational AI solutions.
- Ensure software design adheres to cloud architecture, security, and scalability best practices.
- Implement DevOps practices, including CI/CD pipelines, infrastructure as code, and automated deployments.
- Manage relational, NoSQL, and vector databases effectively.
Qualifications: - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
- Strong hands-on experience in full-stack engineering.
- Proficiency in Python and React for application development.
- Experience with Microsoft Azure, AWS, and/or Google Cloud Platform cloud platforms.
- Expertise in machine learning, AI modeling, and chatbot integration.
- Strong understanding of cloud architecture, software design, and scalability.
- Experience with DevOps tools and practices, including CI/CD and environment management.
- Familiarity with relational, NoSQL, and vector databases.
Preferred Qualifications: - Experience with Azure Machine Learning, Azure Functions, Azure App Services, and Azure DevOps.
- Knowledge of AWS Lambda, SageMaker, Google Vertex AI, and Cloud Run.
- Experience with LLMs, generative AI, NLP, and prompt orchestration frameworks.
- Proficiency in Docker, Kubernetes, and container-based deployment models.
- Experience with MLOps practices and model lifecycle management.
- Strong communication and collaboration skills in cross-functional environments.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
- Pay any fee to be considered for, submitted to, or selected for any opportunity.
- Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
- Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $90-$92/hr on w2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
#LI-VS3
Never miss an opportunity! Create an alert based on the job you applied for.