Phonely, Inc. Logo

Phonely, Inc.

Software Engineer Intern

Reposted 23 Days Ago
In-Office
San Francisco, CA, USA
Internship
In-Office
San Francisco, CA, USA
Internship
Work as an in-office software engineering intern diagnosing and fixing frontend and backend customer issues, building debugging tools and dashboards, supporting production monitoring and incident response, and developing responsive React/Next.js components while collaborating with engineers and customers.
The summary above was generated by AI

Software Engineer Internship
This is a high-impact internship where you’ll write real code, ship features, and see your work in production.
Note: This is an in-office role, 5 days a week in San Francisco.
What You’ll Do

  • Investigate and troubleshoot real customer issues across frontend and backend systems

  • Work closely with customers and internal teams to diagnose bugs, performance bottlenecks, and reliability problems

  • Build internal tooling and dashboards to improve debugging, monitoring, and operational workflows

  • Help monitor production systems and support incident response efforts

  • Assist engineers in identifying root causes and shipping fixes quickly

  • Build and maintain components for high-performance web applications using React and Next.js

  • Collaborate with engineers to integrate APIs, real-time systems, and observability tooling

  • Improve UI/UX by building responsive and user-friendly interfaces

  • Support performance optimization efforts across rendering, caching, and latency

  • Write clean, maintainable, and well-documented code

  • Participate in code reviews, team discussions, and product development

Qualifications

  • Currently pursuing or recently completed a degree in Computer Science or related field

  • Experience with JavaScript/TypeScript and modern frontend frameworks (React preferred)

  • Familiarity with Next.js or willingness to learn quickly

  • Strong problem-solving and debugging skills

  • Comfortable investigating technical issues and working through ambiguous problems

  • Basic understanding of APIs, async programming, and web fundamentals

  • Exposure to full-stack development through projects, coursework, or internships

  • Strong communication skills and ability to work directly with customers and teammates

  • Eagerness to learn quickly in a fast-paced environment

Nice to Have

  • Experience with backend development (Python or Node.js)

  • Familiarity with cloud platforms (AWS, GCP)

  • Experience with observability or monitoring tools

  • Familiarity with databases (Firebase, Supabase, or similar)

  • Interest in AI, real-time systems, infrastructure, or voice technologies

What You’ll Gain

  • Real-world experience debugging and operating production systems

  • Hands-on exposure to customer-facing engineering and issue investigation

  • Mentorship from experienced engineers

  • Experience working with modern infrastructure, observability, and AI systems

  • Opportunity to make meaningful contributions to a fast-growing company

Our Tech Stack

  • Frontend: React, Next.js, TypeScript

  • Backend: Python, microservices, async systems

  • Cloud & Infra: AWS, GCP, Kubernetes, Redis

  • Databases: Firebase, Supabase

  • Observability: Datadog, logging, metrics, tracing

Similar Jobs

3 Days Ago
In-Office
Los Gatos, CA, USA
25-110 Hourly
Internship
25-110 Hourly
Internship
News + Entertainment
Early-stage PhD intern to research and improve scalability, latency, and quality of Netflix Live streaming. Design and evaluate adaptive streaming algorithms, collaborate cross-functionally (CDN, encoding, data science, UI), run controlled experiments, and contribute to system architecture. Requires background in computer networking, network measurement, or encoding technologies; 12-week full-time summer placement with possible extended collaboration.
Top Skills: Adaptive Streaming AlgorithmsCongestion ControlContent Delivery Network (Cdn)EncodingEncoding TechnologiesLive Streaming TechnologiesNetwork Measurement
4 Days Ago
In-Office
San Francisco, CA, USA
29-29 Annually
Internship
29-29 Annually
Internship
Aerospace
Twelve-week paid internship building internal software and analytics for satellite engineering. Collaborate on test and production infrastructure, hardware design and supply chain tools, automation workflows, and data/BI pipelines to support procurement, manufacturing, and testing operations.
Top Skills: Python
11 Days Ago
In-Office
San Francisco, CA, USA
Internship
Internship
Artificial Intelligence • Machine Learning • Software
Work on Netic's AI product team to design, code, and ship full‑stack features. Collaborate with customers to gather feedback, own end‑to‑end delivery from data models and APIs to frontend polish, and ensure production reliability through testing and monitoring during a 12‑week internship.
Top Skills: Cloud InfrastructureDatabasesEmbeddingsLlm ApisPythonRagReactTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account