Python Developer With Django & React Experience

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 17,000+, and has 58 offices in 22 countries within key global markets.
We are seeking a talented
Python Full-Stack Developer with Django & React Experience
to join our growing team. In this role, you will be responsible for designing, developing, and maintaining scalable web applications across both frontend and backend systems, while also contributing to AI-powered features and integrations.
The ideal candidate has strong experience in
Python backend development ,
React-based frontend development, and practical exposure to
AI/ML technologies, LLM integrations, or intelligent automation solutions. You should be comfortable working across the full development lifecycle and collaborating with cross-functional teams to deliver high-quality, modern applications.
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 Toronto, ON is CAD $110K - CAD $120K/year & benefits (see below).
The Role
Responsibilities:
Design, develop, test, and maintain full-stack web applications using
Python
and
React .
Build robust backend services, APIs, and business logic using frameworks such as
Django, Flask, or FastAPI .
Integrate AI/ML capabilities into applications, including APIs, LLM-based features, chatbots, recommendation systems, or intelligent workflows.
Collaborate with product managers, designers, data scientists, and other engineers to translate business requirements into technical solutions.
Design and optimize relational and/or NoSQL databases for performance and scalability.
Implement secure, reusable, and maintainable code following best practices and coding standards.
Build and consume RESTful APIs and third-party integrations
Participate in architecture discussions, code reviews, debugging, and performance optimization.
Support deployment, monitoring, and troubleshooting of applications in cloud or production environments.
Stay current with emerging technologies in full-stack development and applied AI.
Requirements:
Bachelor’s degree in computer science or Diploma in IT with equivalent experience.
Advance proficiency in
Python and Django Framework.
Extensive experience with Large Language Models (LLMs).
Proven experience in
AI agent development and implementation.
Advance proficiency in
React ecosystem.
Advanced proficiency with Postgres SQL.
Extensive experience with SQL server & database design.
Strong knowledge of front-end technologies such as React.
Experience with agent frameworks and orchestration platforms.
Knowledge of prompt engineering and LLM optimization techniques.
Understanding of AI agent architectures and design patterns.
Knowledge of design patterns & best practices in software development.
Experience with version control system such as Git
Strong knowledge of working with API’s.
Familiarity with DevOps practices and CI/CD pipelines.
Preferred skills:
Experience with LangChain, AutoGen, or similar agent frameworks
Knowledge of machine learning and deep learning concepts
Familiarity with cloud platforms (AWS, Azure, GCP)
Experience with containerization (Docker, Kubernetes)
Knowledge of natural language processing (NLP) techniques
Experience with streaming and real-time data processing
Understanding of AI safety and responsible AI practices
Experience with MLOps and model deployment pipelines
We offer:
A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
Flexible hybrid policy.
RRSP with employer’s contribution up to 4%.
A higher education certification policy.
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 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.
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