Backend Engineer- Internal Developer Platform

Remote

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$160,000 – $220,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Voice AI, Speech Technology, Artificial IntelligenceIndustries

Requirements

Candidates should have 5+ years of experience in backend software development, with proficiency in languages such as Python, Go, or Node.js. Demonstrated experience building internal developer platforms or similar developer-centric tooling is required, along with proficiency in data engineering concepts and building ETL/ELT pipelines. Expertise in leveraging AI APIs or building applications on top of large language models, experience with containerization (Docker) and orchestration platforms (Kubernetes), and a strong understanding of CI/CD principles and building automated pipelines are also necessary. Experience with Infrastructure-as-Code, distributed data stores, and message queues is considered a plus.

Responsibilities

The Backend Engineer will design, build, and maintain scalable backend services and APIs for the internal developer platform. They will develop and manage robust data pipelines to support engineering and research workflows, and build tooling and automation to enhance developer productivity and streamline CI/CD processes. This role involves collaborating with product and research teams to integrate new AI capabilities and ensuring the reliability, performance, and scalability of the platform's backend infrastructure.

Skills

Backend Engineering

Internal Developer Platform

Distributed Systems

Network Engineering

Storage Systems

Container Orchestration

Reliability

Scalability

Cost-Effectiveness

APIs

Data Pipelines

Tooling

Automation

CI/CD

Deepgram

Speech recognition APIs for audio transcription

About Deepgram

Deepgram specializes in artificial intelligence for speech recognition, offering a set of APIs that developers can use to transcribe and understand audio content. Their technology allows clients, ranging from startups to large organizations like NASA, to process millions of audio minutes daily. Deepgram's APIs are designed to be fast, accurate, scalable, and cost-effective, making them suitable for businesses needing to handle large volumes of audio data. The company operates on a pay-per-use model, where clients are charged based on the amount of audio they transcribe, allowing Deepgram to grow its revenue alongside client usage. With a focus on the high-growth market of speech recognition, Deepgram is positioned for future success.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$100.5MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Benefits

Comprehensive Health Plans

FSA Health Matching up to $1,000

Work from Home Ergonomic Stipend

Healthy Food & Snacks in offices

Community Groups

Unlimited Vacation

Risks

Increased competition from open-source solutions like OpenAI's Whisper threatens market share.

Recent layoffs suggest potential financial instability or strategic restructuring challenges.

Integration of Poised may cause disruptions in service or product development.

Differentiation

Deepgram's APIs offer fast, accurate, and scalable speech recognition solutions.

The acquisition of Poised enhances Deepgram's real-time feedback capabilities in virtual meetings.

Aura API provides low-latency, human-like voice models for conversational AI agents.

Upsides

Strategic partnership with Clarifai accelerates AI application development and market expansion.

Aura API positions Deepgram to capitalize on real-time conversational voice AI trends.

Deepgram's technology is used by large enterprises like NASA, indicating strong market trust.

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