Hybrid Backend Software Engineer, Python

at dentsu Austria

• Job title: Backend Software Engineer, Python
• Job type: Part Time
• Experience level: Junior, Mid level
• Salary: $136,000 - $190,075 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Cyber Security, Distributed Systems, MongoDB, NoSQL, Postgres, Python, Redis
• Location requirements: Hybrid, Maryland, United States

About the role

• Backend Software Engineer designing, building, and deploying AI capabilities for media products. Collaborating cross-functionally to enhance global products through Python APIs and data systems.

Responsibilities

• Design, build, and deploy AI systems capabilities that drive business value and enhance our global products.
• 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.
• 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

• Bachelor's degree in computer science, engineering, or related field.
• 2-4 years experience designing, maintaining, and testing enterprise grade RestAPIs.
• Expert Python skills, deep experience with concurrent systems (asyncio, tornado, celery etc).
• Demonstrated production experience complex long running processes that present and collect data
• Experience with workflow orchestration tools (e.g., Prefect, Airflow, Dagster).
• Experience with data persistence. Redis, Postgres, NoSQL, MongoDB, etc.
• Demonstrated production experience with monitoring enterprise systems.
• Ability to architect systems that are maintainable and extendable.
• Balancing over engineering while preparing for future requests.
• Familiarity with LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.)
• Proficiency with version tracking
• Knowledge of containerization, DevOps tools, and CI/CD pipelines.

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave