Senior Software Engineer

Audiohook

United States

Hybrid

USD 150,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Equity opportunities
Performance bonuses
401(k) and health coverage
Daily lunch stipend

Job summary

Audiohook is seeking a senior engineer to architect and optimize a high-throughput advertising platform that leverages machine learning and large-scale data pipelines. You will balance hands-on coding with technical leadership on a small, high-impact team delivering billions of requests per day.

You will design and build services, improve bidding algorithms, and lead data infrastructure projects while maintaining reliability.

Qualifications

  • Expert-level Python programming with strong Go or Node.js experience.
  • Proven ownership of product-level architecture and delivery.
  • Collaborative, with experience in pair programming and code reviews.
  • Comfort presenting to groups and guiding technical discussions.
  • Pragmatic, balancing short-term gains with long-term stability.
  • Hands-on experience with AI coding agents for code writing and reviews.

Responsibilities

  • Design, build, and optimize an advertising service handling billions of daily requests.
  • Improve bidding algorithms using ML models to increase profitability.
  • Architect big-data pipelines and ensure data consistency across data lake and caches.
  • Lead cost-efficiency initiatives reducing data processing spend.
  • Maintain delivery cadence with weekly sprint commitments and demos.
  • Participate in code reviews and lead knowledge-sharing sessions.

Skills

Python
Go
Node.js
Machine learning
Big data pipelines

Tools

PostgreSQL
Iceberg
Vue.js
Docker
AWS

Job description

Role overview

A senior engineer is needed to architect and optimize a high-throughput, performance-based advertising platform that leverages machine learning and large-scale data pipelines to drive profitability and efficiency. The role blends deep hands-on coding with technical leadership on a small, high-impact team operating at extreme scale, with the service handling billions of requests per day.

Responsibilities
  • Design, build, and continuously optimize an advertising service capable of sustaining billions of daily requests.
  • Improve bidding algorithms through machine learning models to materially lift profitability within the first quarter.
  • Architect big-data pipelines and ensure data consistency between the data lake and downstream reporting caches.
  • Lead cost-efficiency initiatives that meaningfully reduce data processing spend within six months.
  • Maintain a steady delivery cadence against weekly sprint commitments while presenting progress and demos in recurring team standups.
  • Participate actively in code reviews and lead periodic internal knowledge-sharing sessions on engineering practices.
Requirements
  • Expert-level proficiency in Python, plus strong working knowledge of at least one of Go or Node.js.
  • Demonstrated ownership of product-level architecture, projects, and personal deliverables.
  • Strong collaboration skills across pair programming, whiteboarding, code reviews, and product or business discussions.
  • Comfort presenting in group settings and engaging in daily technical discussions.
  • A pragmatic mindset that weighs short-term gains against long-term system stability and is willing to take calculated risks.
  • Working understanding of the strengths and pitfalls of AI coding agents, with hands-on experience using them to write, review, and collaborate on code.
Nice to have
  • Background operating services at extreme request volumes and managing large-scale data infrastructure.
  • Familiarity with PostgreSQL, Iceberg-style data lakes, Vue.js, Docker-based container orchestration, and AWS services such as Lambda, Firehose, and Glue.
  • Prior success in a fully remote or hybrid team with periodic in-person collaboration.
Benefits and work setup
  • Flexible remote or hybrid work environment.
  • Competitive compensation with equity opportunities and performance bonuses.
  • 401(k) plus health, dental, and vision coverage.
  • Daily lunch stipend, periodic reimbursements for Wi-Fi, cell phone, and subscriptions, plus an annual hardware stipend.
  • Flexible paid time off and biannual company offsite gatherings.
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