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Python Developer with MongoDB

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 & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs 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.

Our challenge

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 MongoDB, 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 $110k - $120k/year & benefits (see below).

The Role

Responsibilities:

  • 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.

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 NumPy, Pandas, pyMongo.

  • Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ 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 MongoDB queries and perform data aggregation.

  • Experience with MongoDB 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, GitHub, 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.

Preferred, but not required:

  • Understanding Cloud principles and experience in developing Pivotal Cloud Foundry (PCF) hosted application and GCP, OpenShift.

  • 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.

We offer:

  • 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, substantive knowledge, and personal development.

  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.

  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.

  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.

  • A flat and approachable organization.

  • A truly diverse, fun-loving, and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Average salary estimate

$115000 / YEARLY (est.)
min
max
$110000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Python Developer with MongoDB, Synechron

At Synechron, we believe in the power of digital to transform businesses for the better, and we're excited to welcome a talented Python Developer with MongoDB to our Charlotte, NC team. If you're passionate about building robust applications and have hands-on experience working with Python and MongoDB, this is the perfect opportunity for you! In this dynamic environment, you’ll be at the forefront of developing and maintaining scalable applications that meet our clients' needs. You'll collaborate closely with cross-functional teams, diving deep into the entire software development life cycle, while ensuring that security best practices are top of mind. Your expertise in creating microservices and REST APIs will be valuable as you work with technologies like FastAPI or Flask. With a focus on innovative solutions, you'll also analyze business challenges and contribute to our exciting projects within the banking and financial services sector. Plus, at Synechron, we're committed to enriching your career path with extensive training and development opportunities. Our global team is dedicated to not only delivering cutting-edge solutions but fostering a diverse and fun-loving workplace. So if you're ready to take your Python development skills to the next level and make a significant impact, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Python Developer with MongoDB Role at Synechron
What are the main responsibilities of a Python Developer at Synechron?

As a Python Developer at Synechron, your primary responsibilities will include participating in the complete software development lifecycle, designing and implementing solutions, working closely with cross-functional teams, and ensuring that the applications developed are secure and efficient. You'll also be responsible for developing and maintaining backend services and microservices, analyzing business challenges, and suggesting innovative technological solutions to meet client needs.

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What qualifications are required for a Python Developer position at Synechron?

Candidates applying for the Python Developer position at Synechron should possess a strong background with at least 10 years of experience in Python development. Key qualifications include proficiency in Python frameworks like FastAPI or Flask, experience with MongoDB, and a solid understanding of microservices architecture. Familiarity with cloud services, particularly GCP, and knowledge in implementing security measures for APIs are also essential for this role.

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How does Synechron support the career growth of Python Developers?

At Synechron, we are committed to the personal and professional development of our employees. As a Python Developer, you'll have access to extensive training opportunities, including on-demand resources through Udemy for Business, mentorship from experienced colleagues, and participation in our Financial Innovation Labs and Center of Excellence programs. We believe in empowering our teams with the knowledge needed to thrive in an ever-evolving tech landscape.

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What technologies should a Python Developer at Synechron be familiar with?

A Python Developer at Synechron should possess expertise in various technologies, including Python frameworks (FastAPI, Flask), MongoDB, and experience with message queuing systems like Kafka or RabbitMQ. Additionally, familiarity with CI/CD tools, cloud platforms such as GCP, and an understanding of security best practices for API development are equally important for influencing high-quality software delivery.

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What is the work culture like at Synechron for a Python Developer?

The work culture at Synechron is dynamic, inclusive, and supportive. As a Python Developer, you’ll find yourself in a collaborative environment where diverse ideas and perspectives are valued. Our 'same difference' initiative promotes equality and fosters an atmosphere where every employee can thrive. We encourage innovation and teamwork, making it a fun-loving place to work while delivering cutting-edge solutions for our clients.

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Common Interview Questions for Python Developer with MongoDB
Can you explain your experience with Python frameworks like FastAPI or Flask?

When answering this question, highlight specific projects where you used FastAPI or Flask. Discuss the nuances of each framework, your reasoning for choosing one over the other, and include any performance benefits you've observed. Emphasizing your hands-on experience and the impact of your work will demonstrate your proficiency.

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How have you implemented security best practices in your applications?

To address this question, discuss specific security measures you've utilized in your previous projects, especially in relation to REST APIs. Mention techniques like OAuth for authentication, input validation for preventing SQL injections, or data encryption practices you've employed to protect sensitive information. Be ready to share real-life examples that showcase your understanding.

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What is your experience with MongoDB, and how have you optimized database queries?

In your response, detail how you've utilized MongoDB for data storage and retrieval in past projects. Provide examples of complex queries you've written and any performance optimization strategies you applied, like using indexing or aggregation pipeline transformations. Highlight your familiarity with the pyMongo library to further reinforce your experience.

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Describe a challenging project where you used microservices architecture.

When discussing a challenging project, outline the problem, your approach to designing microservices, and how you coordinated with the team. Focus on the lessons learned in terms of scalability and resilience. This demonstrates your ability to tackle complex architectural decisions and collaborate effectively with team members.

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How do you ensure effective collaboration with cross-functional teams?

To effectively answer this question, illustrate your past experiences collaborating with developers, product teams, and QA engineers. Discuss communication tools you’ve used, your collaborative approach in agile environments, and how you’ve resolved conflicts or differences in the team. Highlight your ability to adapt and listen well to diverse perspectives.

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What is your familiarity with cloud services, particularly GCP?

Be specific about your experience with Google Cloud Platform services, such as Vertex AI and Document AI, and how you've applied them in real projects. Explain the cloud principles you’ve implemented and how they benefited your application’s architecture, performance, or scalability. Mention any tools within GCP that you are especially proficient in.

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How do you handle version control and CI/CD in your projects?

Discuss the version control systems you’ve used, like Git, and your approach to branching and merging code. Include any CI/CD tools you've implemented, explaining how they’ve streamlined your development process. Mention specific metrics or outcomes that showcase the efficiency gained in deployment cycles due to your practices.

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Can you give an example of a project where you implemented event-driven architecture?

Provide a detailed example that showcases your understanding of event-driven architecture. Describe the problem, the technologies you used (like Kafka or RabbitMQ), and the outcome. Highlight how this architecture improved responsiveness or scalability of your application, along with any challenges faced and how you overcame them.

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What strategies do you use for debugging and testing your Python applications?

In your response, discuss your preferred debugging tools and strategies, such as using logging libraries, debugging APIs, or tools like PyCharm. Address how you automate testing using frameworks like Pytest and ensure code quality. Share examples of bugs you targeted and how your strategy improved the reliability or performance of your applications.

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How do you stay updated with the latest trends and technologies in Python development?

Share your strategies for continuous learning, such as attending conferences, participating in online forums, or following key figures in the Python community. Mention any relevant courses you've taken or certifications achieved. Emphasizing your proactive approach in keeping your skills current can show your dedication to professional growth.

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