Senior Backend Engineer (Python / Node.js)

Design and develop scalable, maintainable, and high-performance backend services using Python or [protected info] and related frameworks (e.g., Django, Flask, FastAPI, Express or NestJS).
Architect, implement, and optimize RESTful APIs, ensuring robust integrations with external data sources, third-party applications, and client systems.
Develop data models and design database schemas for high-availability storage solutions (e.g., PostgreSQL, MySQL, NoSQL databases).
Develop and manage complex data pipelines, ensuring seamless data flow and transformation.
Implement and maintain caching, queuing, and messaging mechanisms to optimize performance and reliability.
Collaborate with DevOps team to automate deployment, improve CI/CD processes, and monitor infrastructure for platform scalability.
Conduct code reviews, mentor junior developers, and contribute to a collaborative and high-performance engineering culture.
Engage with product and design teams to understand requirements, translate them into technical specifications, and deliver impactful features.
Ensure security best practices, including data protection, access control, and vulnerability management, are integrated into development workflows.

Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience in backend development with a strong focus on Python or [protected info]
Strong proficiency with one or more web frameworks (Django, Flask, FastAPI, Express, NestJS) and RESTful API design.
In-depth experience with SQL and NoSQL databases, schema design, and query optimization.
Proficient in designing and implementing scalable, fault-tolerant, and high-performance systems.
Experience with microservices architecture and related technologies.
Solid understanding of software development lifecycle (SDLC) practices, including agile methodologies, CI/CD, and version control.
Experience with cloud platforms (preferably AWS) and infrastructure as code (Terraform, CloudFormation).
Knowledge of caching strategies, such as Redis or Memcached, and messaging systems like RabbitMQ or Kafka.
Excellent problem-solving skills and ability to handle complex technical challenges.
Strong collaboration and communication skills, with a proactive approach to knowledge sharing and mentoring.
Desired Qualifications
Experience in Martech is a plus.
Familiarity with machine learning concepts and integrating ML models into backend services.
Experience with Docker and Kubernetes.
Knowledge of data security and compliance frameworks, such as GDPR and CCPA.