Software Engineer, Backend – Python

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $140k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Adelaide

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

📣 Marketing

📱 Media

Marketing • Media • Advertising

Adelaide is a company that specializes in measuring omnichannel media quality through attention metrics. Their platform provides insights into media effectiveness across various channels, helping advertisers to optimize their media spend and improve campaign outcomes. Adelaide's attention metrics, such as the AU score, are designed to predict the likelihood of a media placement capturing attention and driving results, making it a valuable tool for media owners and marketers.

📋 Description

• Design, build, and maintain backend services and APIs in Python for Adelaide’s measurement products • Build and maintain async Python services on FastAPI • Develop high-throughput APIs that ingest tracking data at scale • Build partner-facing services exposing segments and scoring to demand-side platforms • Collaborate with Data Engineering and Data Science to integrate models and data pipelines into production services • Contribute to Airflow-orchestrated ETL/ELT workflows • Write, test, and maintain clean code • Participate actively in code reviews • Diagnose and resolve production issues • Contribute to monitoring, alerting, and reliability improvements • Improve system architecture, performance, and developer workflows • Partner with Product and Customer Success to translate requirements into shipped features • Work with AWS services including Kinesis Firehose, S3, RDS/Postgres, Redshift, and MWAA Airflow

🎯 Requirements

• 3–5 years of professional software engineering experience, with most of it in Python • Proven experience building and maintaining production backend services or APIs in Python • Experience with FastAPI or a comparable async framework • Solid testing with pytest and code review practices • Comfort with asyncio-based services, request batching, latency, and throughput in high-volume, low-latency APIs • Working knowledge of Pydantic or similar for request/response validation and settings management • Comfort with static typing using mypy • Working experience with AWS, including Kinesis/Firehose, S3, and RDS or similar • Experience with relational databases, especially Postgres • Comfort working with moderately large datasets • Exposure to data pipeline/orchestration tools such as Airflow • Ability to work cross-functionally with Data Engineering, Data Science, and Product • You’ll need to be in NYC a few times per year • Exposure to data pipeline or workflow tools such as Airflow, or data tooling like Pandas, Polars/PyArrow • Experience with OAuth2/JWT-based authentication flows • Familiarity with uv or another modern Python package/dependency manager • Familiarity with Ruff or similar linting/formatting tooling • Experience with structured logging and observability practices • Comfort with Docker and Docker Compose • IaC experience, ideally with Terraform; CloudFormation also a plus • Exposure to AWS Glue, EMR, or Lambda • Familiarity with ECS • Basic knowledge of data visualization or BI tools such as Looker, Tableau, or QuickSight • Exposure to CI/CD tooling such as GitHub Actions or AWS CodeBuild

🏖️ Benefits

• Medical, dental, and vision insurance • Paid time off • Parental leave • Employee development & wellness stipend • Holiday break • Volunteer time off • Competitive salary • Performance-based quarterly bonus • Stock options • 401(k) retirement plan • Remote-first environment • New York office access • Access to available WeWork spaces • Education budget to support ongoing professional growth and development • Access to a broad network of investors and advisors • Mentorship from executives with decades of experience in adtech and media • Regular internal knowledge-sharing sessions