Developer - Python (Backend)

• "Overview Job Title Backend Developer-Python & Nodejs Position Full-time Position Overview Annalect is currently seeking a back-end developer to join our Technology team
• In this role, you will help grow our microservices and API layer which sit atop our Big Data infrastructure
• We are passionate about building distributed back-end systems in a modular and reusable way
• Were looking for people who have a shared passion for data and desire to build cool, maintainable and high-quality applications to use this data
• In this role you will participate in shaping our technical architecture, design and development of software products, collaborate with back-end developers from other tracks, as well as research and evaluation of new technical solutions

Responsibilities

• Develop and maintain scalable backend systems to support TMAs proprietary software products and internal tools
• Build APIs and server-side logic to power integrations, user experiences, and data flows across systems
• Support the ingestion, transformation, and storage of data from third-party sources and internal pipelines
• Implement secure, reliable code with attention to performance, error handling, and resilience
• Collaborate with the Senior Software Engineer and Data Engineer to evolve backend service architecture and data access patterns
• Contribute to the teams technical standards through clean code, thoughtful architecture, and meaningful code reviews
• Work closely with UX designers, QA engineers, and product managers to ensure high-quality feature delivery through agile development cycles
• Participate in team rituals including sprint planning, backlog grooming, and retrospectives to help shape direction and improve delivery

Qualifications Required Skills

3+ years of professional experience in backend software development. Proficiency in modern programming languages such as Python, Node.js, and/or Go. Strong understanding of RESTful and GraphQL APIs, server-side application architecture, and performance optimization. Experience working with SQL and/or NoSQL databases (e.g., MySQL, MongoDB). Familiarity with containerization and local development environments (e.g., Docker). Exposure to cloud-based infrastructure (e.g., Azure, AWS) in a production environment