Offer summary

Qualifications:

BS or MS in Computer Science or relevant STEM majors., 5+ years of experience in developing scalable backend services using Python., Familiarity with Big Data, NoSQL, and distributed processing frameworks like Hadoop or Spark is a plus., Passion for writing clean, testable code and experience with AI/ML applications..

Key responsabilities:

Build scalable AI application infrastructure and services using Python.

Design and develop REST APIs and GraphQL for data and machine learning services.

Conduct code reviews and apply feedback to ensure compliance with engineering best practices.

Contribute to a culture of innovation and continuous improvement within the engineering team.

Job description

About Firework

Join Firework – Where Innovation Meets Impact

Firework is revolutionizing connected commerce with the world’s most advanced and largest AI-powered video commerce platform, trusted by global brands and leading retailers. We bring the energy of in-store experiences online, transforming how businesses engage, convert, and build lasting customer relationships.

At Firework, you’ll be part of a high-growth, team-centric environment where innovation thrives and collaboration fuels success. Having raised over $235m to date led by investors such as the SoftBank Vision Fund 2 and operating at a global scale, we offer unparalleled opportunities to work cross-functionally, solve complex challenges, and drive meaningful impact in the future of connected digital commerce.

If you’re curious, ambitious, and energized by big ideas, Firework is the place to grow, lead, and shape the next era of online shopping—together.

Summary

Our engineering team is growing! We’re looking for a talented Backend Engineer to join a small global team who will bring technical expertise and leadership along with hands-on development of backend software development and SaaS solutions.

What you’ll be doing

Build scalable AI application infrastructure and services with Python

Design and develop REST APIs / GraphQL for data and machine learning services

Take full stack ownership by consistently writing production-ready and testable code

API / Python runtime latency optimization (Python, SQL, NoSQL, 3rd party APIs)

Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability, and performance of systems/ contexts affected when defining technical designs

Contribute to a culture of innovation, collaboration, and continuous improvement

Take feedback from code review and apply changes to meet standards. Conduct code reviews to provide guidance on engineering best practices and compliance with development procedures

We’ll be excited if you have

BS or MS in Computer Science or any relevant STEM majors.

Production experience with Big Data, NoSQL, and RAG

5+ years developing highly scalable production-grade backend services using Python, Elixir experience is a huge plus but is not required

Have worked directly with distributed processing frameworks such as Hadoop, Spark, Beam … or have worked on a backend system that interacts meaningfully with such a framework is a big plus

Work autonomously, are excited by new platforms, big data, and machine learning technologies, and will never back down from the challenges of scale

Passionate about writing clean and testable code

Production experience with generative AI / ML applications

A BIG PLUS if you have

Expertise with video streaming libraries such as FFmpeg or GStreamer

Experience working with video/audio codecs

Experience working with live streaming encoders and WebRTC

Experience working with AI/ML models and applications

Experience in building large-scale applications with Python

Experience writing GraphQL queries and mutations

We are looking for remote candidates in the United States.

The approximate annual pay range for this role is USD $180,000. Other factors that impact compensation may include stock options. The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.

Don’t hold back

We understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past. As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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