Backend Software Engineer (Python)

About Us

We are a leading global media agency, shaping the future of content, advertising, and audience engagement across platforms. Our product organization powers innovative solutions for clients worldwide, leveraging data, technology, and creativity.

Role Overview

As a backend software engineer, you will design, build, and deploy AI systems capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, and engineers to design and deliver AI systems for content personalization, audience analytics, creative optimization, and more.

Key Responsibilities

• API System Design: Architect, develop, and test production grade Python APIs for media products.
• Orchestration: Support data pipelines, background jobs, and distributed systems that interact with AI models.
• Collaboration: Work with technical stakeholders to design scalable systems for easy development, deployment, and monitoring of systems. Create implementation plans teams can work against to achieve product goals.
• Deployment & Scaling: Design and robust systems for long running processes. Databases, caching, retry logic, fall back behavior, etc. Ensure errors are routed for proper triaging
• Robust Testing: Design/maintain high quality automated tests and manual stress/quality testing frameworks for AI systems.
• Ethics & Compliance: Consider data governance and cyber security practices. Ensuring fairness, transparency, and compliance with regulations.

Requirements

Must Have

• Bachelor's degree in computer science, engineering, or related field.
• Experience (2+ years) designing, maintaining, and testing enterprise grade RestAPIs.
• Expert coding skills (6+ years) with at least 2 years of python experience. Deep experience with concurrent systems (asyncio, tornado, celery etc).
• Demonstrated production experience complex long running processes that present and collect data
• Experience (2+ years) with data persistence. Redis, Postgres, NoSQL, MongoDB, etc.
• Demonstrated production experience monitoring enterprise systems.
• Proficiency with version tracking

Nice to Have

• Familiarity with LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.)
• Ability to architect systems that are maintainable and extendable. Balancing over engineering while preparing for future requests.
• Knowledge of containerization, DevOps tools, and CI/CD pipelines.

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

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