Python Developer MongoDB

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This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$90,000.00/yr - $/yr

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We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will have hands-on experience in developing robust applications using Python, with a strong focus on Mongo

DB, Microservices architecture, and implementing security best practices. You will work closely with cross-functional teams to design, develop, and maintain scalable applications that meet our business needs.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Irving, TX / Charlotte, NC is $90k - $100k/year & benefits (see below).

• Participate effectively in the entire software development life cycle.
• Leading for solution design and implementation.
• Design, develop, test and refine deliverables that meet the objectives.
• Collaborate with US partners for requirement understanding solution implementation and deployments.
• Collaborate with the Product Team, Scrum Master, Developers, QA and any other stakeholders as needed.
• Analyze business and technology challenges and suggest solutions.
• Responsible for application development, maintenance, and security requirements.

• 10+ years of experience as Python developer. Strong Python programming skills.
• Design, develop, and maintain backend services using FastAPI/Flask.
• Design, develop, and deploy microservices using Python.
• In depth experience of python framework and tools such as Num Py, Pandas, py Mongo.
• Implement event-driven architecture and use messaging queues such as Kafka, Rabbit
  
  MQ or Active
  
  MQ for asynchronous processing.
• Ensure efficient multithreading and concurrency in backend processes.
• Design and implement secure REST APIs for consumption by a React application. Consume services provided by interface systems.
• Write complex Mongo
  
  DB queries and perform data aggregation.
• Experience with Mongo
  
  DB for database management and data retrieval.
• Implement security measures to protect API endpoints.
• Hands-on experience with GCP services, particularly Vertex AI, Document AI.
• Understanding of Cloud principles and experience on developing applications hosted on cloud environment.
• Understanding of high availability, scalability, and resilience in software systems.
• Experience with CI/CD technologies such as Gradle, Jenkins, Git Hub, Artifactory, Harness, Sonar, open shift/Kubernetes, Docker etc.
• Experience on automated unit testing framework Pytest, magicmock.
• Experience on agile software development lifecycle.
• Object oriented design and analysis, programming styles and design patterns.

• Understanding Cloud principles and experience in developing Pivotal Cloud Foundry (PCF) hosted application and GCP, Open Shift.
• Understanding of Banking/Lending domain.
• Experience with GCP services, particularly Vertex AI, Document AI.
• Knowledge of google cloud functions for developing and deploying serverless applications.
• Understanding machine learning concepts and algorithms.
• Familiarity with machine learning frameworks such as Tensorflow and PyTorch.
• Familiarity with Google cloud AI tools like gemini and gecko for advanced ML.

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills,…