EnderTuring

We're Building the Future of Conversation Intelligence

Ender Turing is revolutionizing how businesses understand their customer conversations through cutting-edge AI speech analytics. We're not just another startup - we're the ones who ship fast, iterate relentlessly, and actually make AI work in production at scale.

What You'll Actually Build

- Core Platform Development: FastAPI/Python backend services processing millions of conversations daily

- Real-time Analytics: Vue 3/TypeScript dashboards with WebSocket streaming, D3.js visualizations

- AI Integration: Deploy and optimize LLM-powered features (transcription, sentiment, summaries)

- Scalable Architecture: Docker/Kubernetes deployments, Celery task queues, OpenSearch clusters

- Integration Pipelines: Connect with CRM systems (Zendesk, Genesys, Vicidial, and more)

Your Tech Arsenal

Backend: Python 3.11+, FastAPI, SQLAlchemy, Celery, Redis, PostgreSQL

Frontend: Vue 3, TypeScript, Vuetify, Vite, Chart.js, WebSockets

AI/ML: OpenAI APIs, Librosa, Speech processing pipelines

Infrastructure: Docker, Kubernetes, AWS/GCP, OpenSearch, Traefik

Tools: Git, GitHub Actions, pre-commit hooks, pytest

Non-Negotiable Requirements

✅ 3+ years shipping production code (we'll check your commits)

✅ AI-Native Development: Daily use of Claude Code/Cursor/Codex - if you're still manually typing boilerplate, this isn't for you

✅ Full-Stack Capable: Comfortable jumping between Python services and Vue components

✅ Self-Directed: We give problems, not tickets. You figure out solutions

✅ Speed Obsessed: Ship daily, break things, fix them faster

You're Our Person If

- You code on weekends because you're building something cool or exploring new approaches

- "Work-life balance" means coding from different coffee shops

- You've already tried to break into our demo site (bonus points if you succeeded)

- Your GitHub graph is greener than our office plants

- You think 9-5 is when other people sleep

What We DON'T Offer

❌ Endless meetings about meetings

❌ "Agile" ceremonies that slow you down

❌ Legacy code from 2010

❌ Middle management layers

❌ Clock-watching culture

What We DO Offer

🚀 Direct impact - your code in production within hours, not months

🧠 Learning velocity - work with senior engineers who've scaled to millions

🛠️ Latest tech - if it's cutting-edge and useful, we're using it

🌍 Remote-first - code from anywhere with good internet

The Interview

1. Founder chat: Make sure we'd enjoy grabbing beers together

2. Technical Screen: We check if you're real and can speak coherently about code

3. Technical deep-dive: Screen share, live coding, architecture discussion

4. Take-home: Small feature addition to our actual codebase (1-2 hours max)

Apply If You're Ready To

- Ship code that processes millions of conversations

- Debug production issues at 2 AM (and enjoy the adrenaline)

- Argue about architecture decisions (with data, not opinions)

- Learn faster than any bootcamp could teach you

Not looking for perfect. Looking for hungry.

📧 Drop us a line with:

- Your GitHub (we'll actually read your code)

- One thing you've built that you're proud of

- Why startups, why now, why us

P.S. - If you're worried about "years of experience" requirements but can prove you ship quality code fast, apply anyway. We care about output, not input.

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🔥 Join us before we're on TechCrunch's front page.

🛠️ Support Engineer/Developer - Deep Technical Support

Debug Production. Ship Fixes. Own Customer Success.

Ender Turing's AI speech analytics platform processes millions of conversations across 20+ integrations. When enterprise clients hit edge cases at 6 AM, you're the one who dives into logs, traces the issue through

microservices, and ships the fix before their morning standup.

Your Mission: Be the Technical SWAT Team

- Production Debugging: Trace issues through FastAPI services, Celery queues, OpenSearch clusters

- Integration Support: Debug webhook failures, API timeouts, data pipeline issues across Zendesk, Genesys, Five9, etc integrations

- Customer Code Reviews: Analyze client implementations, spot bottlenecks, optimize their API usage

- Hotfix Development: Write Python/TypeScript patches that go straight to production

- Infrastructure Triage: SSH into servers, analyze Docker logs, query PostgreSQL, hunt memory leaks

Daily Reality Check

09:00 - Customer reports transcription delay -> Check Celery queue backlog

10:30 - Write Python script to reprocess 10K stuck sessions

12:00 - Debug WebSocket connection drops in Vue dashboard

14:00 - Trace OpenSearch query timeout, optimize index mapping

16:00 - Ship hotfix for Genesys integration parsing edge case

18:00 - Document root cause, update runbooks, improve monitoring

Your Toolkit

Languages: Python, SQL, Bash (sometimes, TypeScript/JavaScript)

Backend: FastAPI, Celery, PostgreSQL, SQLAlchemy

Infrastructure: Docker, Linux

Monitoring: Sentry, custom logging pipelines

Integrations: REST APIs, Webhooks, OAuth flows, CRM systems

Non-Negotiable Skills

✅ 3+ years in technical support and/or DevOps with coding skills

✅ Debug Mastery: Can trace a bug through 5 microservices using only logs

✅ SQL Ninja: Complex queries, query optimization, database debugging

✅ API Debugging: Postman, curl, reading logs and traces in your sleep

✅ Docker and Linux Comfort: SSH, grep, tail -f, docker service ls is your natural habitat

✅ Customer Communication: Explain technical issues without condescension

You're Perfect If You

- Get excited seeing "500 Internal Server Error" (finally, a real problem!)

- Have a personal collection of debugging scripts you've written

- Can explain distributed systems failures using restaurant analogies

- Think "Works on my machine" is a personal failure

- Actually read stack traces instead of copying them to ChatGPT

Support Philosophy We Live By

🔍 Root Cause > Quick Fix (but ship the quick fix first)

📊 Data Drives Decisions - reproduce, measure, fix, verify

🚀 Every Ticket = Product Improvement - bugs become features

💪 Own the Problem - no "that's not my department"

🧠 Teach While Fixing - empower customers to self-serve

What Makes This Different

Not Your Typical Support Role:

- You'll commit code to production repos PR’s

- You'll architect solutions, not just follow runbooks

- You'll pair with senior engineers on system design

- You'll influence the product roadmap with field insights

Growth Path:

- Support Engineer → Platform Engineer → SRE Lead

- Or: Support Engineer → Solutions Architect → Customer Success Engineering Lead

Real Scenarios You'll Handle

1. The Integration Mystery: "Calls from Genesys contact center system stopped syncing at midnight" - trace through logs, identify API rate limit, new fields in JSON answer, implement new structure support

2. The Performance Hunt: "Dashboard takes 30s to load" - profile PostgreSQL queries, add caching layer, optimize SELECT query

3. The Data Puzzle: "Transcripts missing for 500 calls" - track through Celery tasks, find S3 permission issue, fix the lambda function, reprocess if needed

4. The Scale Challenge: "System slows at 10K concurrent sessions" - identify bottleneck, implement queue prioritization, deploy fix

Interview Process

1. Culture Fit (20 min): How you handle pressure, angry customers, and impossible deadlines

2. Technical Screen (20 min): Debug a real production issue

3. Deep Dive (30-45 min): Architecture discussion, live debugging session, SQL challenges

4. Take-home (1 hour): Given logs and error reports, find the root cause and propose a fix

What We Need From You

📧 Send us:

- Your most clever debugging story (the weirder, the better)

- GitHub/GitLab profile or code samples

- Proof you can write (documentation, blog posts, detailed bug reports)

- Your home lab setup (optional, but we're curious)

Compensation & Perks

💰 Competitive salary

🎯 Direct impact on product and thousands of users

🏠 Full remote (but you need to overlap 4 hours with CET timezone)

Red Flags (Don't Apply If)

❌ You think customers are "annoying"

❌ You prefer perfect documentation over diving into code

❌ "That's a development issue" is in your vocabulary

❌ You need detailed instructions for every task

❌ You think AI will replace debugging skills

Green Flags (Definitely Apply If)

✅ You've built home labs to reproduce customer issues

✅ Your browser has 50+ tabs of documentation open

✅ You've contributed to open source projects' issue trackers

✅ You can explain why "restart fixed it" isn't a solution

✅ You get genuinely excited about elegant solutions to ugly problems

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🔥 Join us while the codebase is still small enough to understand fully.

P.S. - If you've ever fixed a production issue during a holiday dinner and felt proud rather than annoyed, you're the kind of engineer we're looking for.

We're Building the Future of Conversation Intelligence

Ender Turing is revolutionizing how businesses understand their customer conversations through cutting-edge AI speech analytics. We're not just another startup - we're the ones who ship fast, iterate relentlessly, and actually make AI work in production at scale.

What You'll Actually Build

- Core Platform Development: FastAPI/Python backend services processing millions of conversations daily

- Real-time Analytics: Vue 3/TypeScript dashboards with WebSocket streaming, D3.js visualizations

- AI Integration: Deploy and optimize LLM-powered features (transcription, sentiment, summaries)

- Scalable Architecture: Docker/Kubernetes deployments, Celery task queues, OpenSearch clusters

- Integration Pipelines: Connect with CRM systems (Zendesk, Genesys, Vicidial, and more)

Your Tech Arsenal

Backend: Python 3.11+, FastAPI, SQLAlchemy, Celery, Redis, PostgreSQL

Frontend: Vue 3, TypeScript, Vuetify, Vite, Chart.js, WebSockets

AI/ML: OpenAI APIs, Librosa, Speech processing pipelines

Infrastructure: Docker, Kubernetes, AWS/GCP, OpenSearch, Traefik

Tools: Git, GitHub Actions, pre-commit hooks, pytest

Non-Negotiable Requirements

✅ 4+ years shipping production code (we'll check your commits)

✅ AI-Native Development: Daily use of Claude Code/Cursor/Codex - if you're still manually typing boilerplate, this isn't for you

✅ Full-Stack Capable: Comfortable jumping between Python services and Vue components

✅ Self-Directed: We give problems, not tickets. You figure out solutions

✅ Speed Obsessed: Ship daily, break things, fix them faster

You're Our Person If

- You code on weekends because you're building something cool or exploring new approaches

- "Work-life balance" means coding from different coffee shops

- You've already tried to break into our demo site (bonus points if you succeeded)

- Your GitHub graph is greener than our office plants

- You think 9-5 is when other people sleep

What We DON'T Offer

❌ Endless meetings about meetings

❌ "Agile" ceremonies that slow you down

❌ Legacy code from 2010

❌ Middle management layers

❌ Clock-watching culture

What We DO Offer

🚀 Direct impact - your code in production within hours, not months

🧠 Learning velocity - work with senior engineers who've scaled to millions

🛠️ Latest tech - if it's cutting-edge and useful, we're using it

🌍 Remote-first - code from anywhere with good internet

The Interview

1. Founder chat: Make sure we'd enjoy grabbing beers together

2. Technical Screen: We check if you're real and can speak coherently about code

3. Technical deep-dive: Screen share, live coding, architecture discussion

4. Take-home: Small feature addition to our actual codebase (1-2 hours max)

Apply If You're Ready To

- Ship code that processes millions of conversations

- Debug production issues at 2 AM (and enjoy the adrenaline)

- Argue about architecture decisions (with data, not opinions)

- Learn faster than any bootcamp could teach you

Not looking for perfect. Looking for hungry.

📧 Drop us a line with:

- Your GitHub (we'll actually read your code)

- One thing you've built that you're proud of

- Why startups, why now, why us

P.S. - If you're worried about "years of experience" requirements but can prove you ship quality code fast, apply anyway. We care about output, not input.

---

🔥 Join us before we're on TechCrunch's front page.