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Senior Backend Software Engineer

Pangram LabsNew York City
On-site Full-time

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Experience Level

Senior

Qualifications

RequirementsA minimum of 5 years of professional software engineering experience, with a strong focus on backend development. Expertise in Python and Django (or similar Python web frameworks). In-depth knowledge of backend architectural patterns including RESTful API design, relational databases, message queues, caching strategies, and asynchronous task processing. Practical experience with AWS services (e.g., EC2, ECS/EKS, RDS, S3, SQS, CloudFront, Lambda). Demonstrated experience in designing systems that ensure high availability, horizontal scalability, and graceful degradation. Strong debugging and performance profiling skills in production environments.

About the job

About Pangram Labs

At Pangram Labs, we are dedicated to ensuring authenticity through the development of cutting-edge AI detection systems. Our team is at the forefront of research, creating algorithms and products that integrate our advanced technology into everyday life.

We seek individuals who are proactive, mission-focused, and passionate about innovation to join our in-person team based in Brooklyn, New York.

About the Role

We are on the lookout for a Senior Software Engineer with a backend emphasis to design, implement, and scale our production systems, which support our core technology for a rapidly expanding user base.

In this senior-level position, you will be responsible for the backend infrastructure that drives Pangram's AI detection platform. You will have the autonomy to make architectural decisions, tackle complex scaling challenges, and ensure that our systems remain reliable and efficient as user demand increases. Collaborating closely with our frontend and machine learning teams, you will work primarily with our Django backend and AWS infrastructure.

What You'll Do

  • Design and develop scalable backend services and APIs to deliver AI detection features effectively.

  • Ensure the reliability, performance, and observability of our production systems.

  • Architect and manage data pipelines, caching layers, and service infrastructure using AWS.

  • Collaborate with machine learning engineers to deploy and manage machine learning models in production.

  • Identify and resolve performance bottlenecks as user traffic and system complexity increase.

  • Establish and enhance engineering best practices related to testing, deployment, and incident management.

About Pangram Labs

Pangram Labs is committed to safeguarding authenticity through the creation of leading-edge AI detection technologies. Our research and product development efforts aim to integrate advanced AI detection systems into the everyday lives of users, ensuring they can navigate their digital experiences with confidence.

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