Senior Back End Engineer (Remote, Technology)

Job summary

This position involves designing, building, and scaling advanced data solutions as part of an engineering team. The role focuses on large-scale, production-grade data systems and supports AI and machine learning initiatives, translating complex datasets into actionable insights for business and product decisions.

Qualifications

• Extensive experience in backend development using Python, with a focus on creating scalable APIs and services. Familiarity with FastAPI is a plus.
• Proficient in AWS, especially in observability and telemetry services like CloudWatch and X-Ray, along with core services such as Lambda and S3.
• Experience in developing AI/ML features or integrations, including working with APIs and data pipelines.
• Strong knowledge of the LLM ecosystem and experience with various AI providers.
• Understanding of distributed systems design and building applications for high-traffic environments.
• Commitment to observability and reliability, with a focus on creating tools that enhance the engineering experience.
• Proficient in writing automated tests to ensure code quality.
• Familiarity with containerization tools like Docker and CI/CD processes.
• Knowledge of infrastructure as code and configuration management tools.
• Understanding of Agile methodologies and collaborative engineering practices.
• Ability to convert product requirements into scalable, production-ready solutions.
• Experience in remote or distributed teams, with strong communication and ownership skills.

Responsibilities

• Build scalable data systems that support AI and machine learning solutions.
• Work on complex data initiatives with significant real-world impact.
• Collaborate with cross-functional teams to achieve meaningful outcomes.
• Promote best practices in data engineering and analytics.
• Engage in continuous learning and exploration of modern data and AI tools.

Skills

• Python, AWS, AI/ML integration, distributed systems, automated testing, Docker, CI/CD, infrastructure as code, Agile methodologies.

Education

• Relevant technical degree or equivalent experience in software engineering or a related field.

Tools

• Python, AWS services, FastAPI, Docker, CI/CD tools, Terraform or similar.