Python Developer:Linux,Network Protocols,(Python Scripting - advanced)

TL;DR

Founding Software Engineer (Next.js / React / TypeScript) — ₹17,000–₹24,000 net ₹/mo — 100% remote (India) — ~40 h/wk — green-field stack, total autonomy, ship every week. If you can own the full lifecycle and prove impact every Friday, apply.

🏢 Mega Style Apartments

We rent beautifully furnished 1- to 4-bedroom flats that feel like home but run like a hotel—so travellers can land, unlock the door, and live like locals from hour one. Tech is now the growth engine, and you’ll be employee #1 in engineering, laying the cornerstone for a tech platform that will redefine the premium furnished apartment experience.

✨ Why This Role Rocks

💡 Green-field Everything

Choose the stack, CI, even the linter.

🎯 Visible Impact & Ambition

Every deploy reaches real guests this week. Lay rails for ML that can boost revenue 20%.

⏱️ Radical Autonomy

Plan sprints, own deploys; no committees.

• Direct line to decision-makers → zero red tape
• Modern DX: Next.js & React (latest stable), Tailwind, Prisma/Drizzle, Vercel, optional AI copilots – building mostly server-rendered, edge-ready flows.
• Async-first, with structured weekly 1-on-1s to ensure you’re supported, not micromanaged.
• Unmatched Career Acceleration: Build an entire tech foundation from zero, making decisions that will define your trajectory and our company's success.

🗓️ Your Daily Rhythm

• Morning: Check metrics, pick highest-impact task
• Day: Build → ship → measure
• Evening: 10-line WhatsApp update (done, next, blockers)
• Friday: Live demo of working software (no mock-ups)

📈 Success Milestones

• Week 1: First feature in production
• Month 1: Automation that saves ≥10 h/week for ops
• Month 3: Core platform stable; conversion up, load times down (aiming for <1s LCP); ready for future ML pricing (stretch goal: +20% revenue within 12 months).

🔑 What You’ll Own

1. Ship guest-facing features with Next.js (App Router / RSC / Server Actions).
2. Automate ops—dashboards & LLM helpers that delete busy-work.
3. Full lifecycle: idea → spec → code → deploy → measure → iterate.
4. Set up CI/CD & observability on Vercel; a dedicated half-day refactor slot each sprint keeps tech-debt low.
5. Optimise for outcomes—conversion, CWV, security, reliability; laying the groundwork for future capabilities in dynamic pricing and guest personalization.

Prototype > promise. Results > hours-in-chair.

💻 Must-Have Skills

Frontend Focus:

• Next.js (App Router/RSC/Server Actions)
• React (latest stable), TypeScript
• Tailwind CSS + shadcn/ui
• State mgmt (TanStack Query / Zustand / Jotai)

Backend & DevOps Focus:

• Node.js APIs, Prisma/Drizzle ORM
• Solid SQL schema design (e.g., PostgreSQL)
• Auth.js / Better-Auth, web security best practices
• GitHub Flow, automated tests, CI, Vercel deploys
• Excellent English; explain trade-offs to non-tech peers
• Self-starter—comfortable as the engineer (for now)

🌱 Nice-to-Haves (Learn Here or Teach Us)

A/B testing & CRO, Python/basic ML, ETL pipelines, Advanced SEO & CWV, Payment APIs (Stripe, Merchant Warrior), n8n automation

🎁 Perks & Benefits

• 100% remote anywhere in 🇮🇳
• Flexible hours (~40 h/wk)
• 12 paid days off (holiday + sick)
• ₹1,700/mo health insurance reimbursement (post-probation)
• Performance bonuses for measurable wins
• 6-month paid probation → permanent role & full benefits (this is a full-time employment role)
• Blank-canvas stack—your decisions live on
• Equity is not offered at this time; we compensate via performance bonuses and a clear path for growth, with future leadership opportunities as the company and engineering team scales.

⏩ Hiring Process (7–10 Days, Fast & Fair)

All stages are async & remote.

1. Apply: 5-min form + short quiz (approx. 15 min total)
2. Test 1: TypeScript & logic (1 h)
3. Test 2: Next.js / React / Node / SQL deep-dive (1 h)
4. Final: AI Video interview (1 h)

.

🚫 Who Shouldn’t Apply

• Need daily hand-holding
• Prefer consensus to decisions
• Chase perfect code over shipped value
• “Move fast & learn” culture feels scary

🚀 Ready to Own the Stack?

If you read this and thought “Finally—no bureaucracy,” and you're ready to set the technical standard for a growing company, show us something you’ve built and apply here →

POST - SENIOR DATA ENGINEER WITH AWS

Experience : 5 years

Must-have:

• Highly skilled in Python and PySpark

• Have expertise in writing Glue jobs ETL script, AWS

• Experience in working with Kafka

• Extensive SQL DB experience – Postgres

Good-to-have:

• Experience in working with data analytics and modelling

• Hands on Experience of PowerBI visualization tool

• Knowledge and hands-on on version control system - Git Common:

• Excellent communication and presentation skills (written and verbal) to all levels

of an organization

• Should be results oriented with ability to prioritize and drive multiple initiatives to

complete work you're doing on time

• Proven ability to influence a diverse geographically dispersed group of

individuals to facilitate, moderate, and influence productive design and implementation

discussions driving towards results

Shifts - Flexible ( might have to work as per US Shift timings for meetings ).

Employment Type - Any

What you need to have:

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers

What you will be working on?

You'll be a part of the core team and will be working with the founders in building and iterating upon the core product.

How you can grow with us?

• Will be working on the bleeding edge technologies of IoT which are not usually accessible to software engineers.

• Will get exposure to IoT Hardware and Industrial Infrastructure.

• Will get to deliver on-time, quality software in the challenging domains of Energy/IoT/Automation.
  
  

We appreciate the following traits!

• Will be dealing with the web app, mobile app, frontend, backend, etc. So, you need to be flexible in getting the work done.

• Need not be proficient in all of these but you can trump any of this by being a quick learner and a hard worker.

• Should be familiar with the transition from the development phase to the deployment phase.