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Senior Node.js Backend Engineer
Senior Node.js Backend Engineer

Senior Node.js Backend Engineer at Shuling technology · Remote only · 3 - 8 years · ₹20L - ₹30L / yr · Bootstrapped · Remote only · Posted 9 Sep 2026

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Senior Node.js Backend Engineer

Zhiyu Ren's profile picture
Posted by Zhiyu Ren
3 - 8 yrs
₹20L - ₹30L / yr
Remote only
Skills
skill iconNodeJS (Node.js)

We are building HypeMuse, an event-based photo and GIF discovery platform for sports games, concerts, and live events.


Our current backend is built with Laravel/PHP, and we are planning to rebuild the backend using Node.js. We are looking for a strong backend engineer who can help migrate the existing Laravel system into a scalable Node.js architecture while keeping the current product logic stable.


Responsibilities:

- Analyze the existing Laravel backend structure, database schema, APIs, and admin workflows.

- Rebuild core backend services using Node.js, preferably TypeScript with NestJS or Express.

- Design clean REST APIs for the mobile app, admin panel, media upload, user accounts, events, venues, and recommendation feed.

- Integrate with existing services including MySQL/PostgreSQL, Redis, object storage, and the recommendation service.

- Support event-based recommendation logic for photos and GIFs, including event ID, venue location, match phase, audience type, media quality, freshness, and popularity.

- Build background jobs for media processing, metadata sync, recommendation data sync, and interaction tracking.

- Set up Docker-based deployment and production-ready environment configuration.

- Improve backend performance, security, logging, monitoring, and maintainability.

- Work closely with the founder/product owner to turn the current Laravel backend into a scalable Node.js backend.


Requirements:

- Strong experience with Node.js backend development.

- Good knowledge of TypeScript, NestJS or Express.js.

- Experience working with Laravel/PHP projects and backend migration is highly preferred.

- Strong understanding of REST API design, authentication, database modeling, and queue-based systems.

- Experience with MySQL or PostgreSQL, Redis, Docker, and Linux server deployment.

- Ability to read an existing codebase and migrate features without breaking current product behavior.

- Experience with media platforms, recommendation systems, feeds, image/video processing, or event-based products is a plus.


Nice to have:

- Experience with Qdrant, Faiss, vector search, recommendation systems, or AI-powered media tagging.

- Experience with cloud storage, CDN, image optimization, and large-scale media upload.

- Experience with sports, concert, creator, or community platforms.


This role is suitable for someone who can work independently, communicate clearly, and help us move from a Laravel MVP backend to a more scalable Node.js backend architecture.

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About Shuling technology

Founded :
2025
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

The wearable badge that brings your art to life — live, at every event. The 1.85" full-color screen that turns concerts, games, and cons into a canvas for your hype. Explore products Buy it Now HypeMuse is designed to turn what you wear into part of the show. Powered by a 1.85" full-color display, real-time
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Experience : 4+ Years

Employment Type : Contract – 3 Months

Location : Pune

Work Mode : On-site

Working Hours : 03:00 PM to 11:00 PM OR 03:00 PM to 12:00 AM

Time Zone : Minimum 4-hour overlap with Eastern Time (ET)


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Mandatory Skills :

Node.js, TypeScript, REST, GraphQL, PostgreSQL, SQL, Prisma / TypeORM / Sequelize, AWS (ECS, EC2, S3, RDS, Lambda), Airbyte / dbt / Airflow / AWS Glue, Data Warehousing, Event-Driven Architecture, Message Queues, CI/CD, Automated Testing, Backend Architecture, Scalability & Performance.


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  • Implement CI/CD, automated testing, event-driven architectures, and message queues.
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  • 4+ years of hands-on Node.js & TypeScript backend development.
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Kalyani Wadnere
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About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.


Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members


Responsibilities

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Requirements

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  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to effectively lead and maintain a collaborative team environment


Why Join Us?

  • Opportunity to work on a cutting-edge healthcare product
  • A collaborative and learning-driven environment
  • Exposure to AI and software engineering innovations
  • Excellent work ethic and culture


If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

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Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior Backend Engineer to own the backend architecture of a complex production AI platform on a dedicated client engagement: API design and data modelling, multi-tenancy, orchestration of long-running agent workloads, and the services that manage user projects and generated output.

We are open to full stack engineers whose primary strength and interest is backend. If you have shipped full stack work but the backend is where you do your deepest engineering, you are a fit for this role.

The mandatory requirement for this role is hands-on production experience as a senior backend engineer building complex, scalable systems in Node.js, with end-to-end ownership of architecture, data, and operations on at least one live platform.

The role is hands-on and architectural.

Expect to design system architecture, lead a small group of backend engineers, build the hardest parts yourself, set engineering standards, and partner closely with frontend, AI, and DevOps engineers.

A typical week includes an architecture decision on a new service, hands-on implementation of a critical path, a code review with mid-level engineers, and a working session with the AI engineer on an integration contract.


Responsibilities:

System Architecture

Own the backend architecture across engagements.

Make and document decisions on service boundaries, data models, API contracts, deployment topology, and trade-offs.


Hands-on Backend Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas using Node.js (Express, NestJS, Fastify) with TypeScript.

Pick up Python (FastAPI) where engagements require it.


Database Design and Performance

Drive PostgreSQL schema design, indexing, query optimisation, migrations, and capacity planning.

Set the data-modelling standard across the pod.


Caching, Queues, and Workflows

Design caching (Redis), event-driven patterns (Kafka, RabbitMQ, SQS, NATS), and long-running workflow orchestration (Temporal, BullMQ, Celery, or equivalent).

Handle retries, idempotency, and failure recovery.


Multi-Tenancy and Platform Patterns

Design and implement multi-tenant data isolation, RBAC, audit logging, and resource quotas appropriate to enterprise-grade products.


API and Integration Design

Set the standard for REST, GraphQL, and gRPC contracts.

Drive versioning, authentication (OAuth, JWT, SSO), security by default, and developer ergonomics.


Observability and Operations

Instrument services with OpenTelemetry, Prometheus, and Grafana.

Define SLOs, lead incident response, and write postmortems.


Code Quality and Mentorship

Run code reviews, define conventions, mentor mid-level engineers, and raise the engineering bar.


AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day.

Set the team standard for prompts, patterns, AI-assisted review, and validation of AI-generated backend code.


Client Engagement

Represent Unico Connect in technical conversations with customers.

Defend architectural decisions, communicate trade-offs, and manage scope.


Requirements:

Hands-on Production Experience as a Senior or Lead Backend Engineer in Node.js (Mandatory)

Must have personally built and shipped complex production systems in Node.js, owning architecture, data, and operations on at least one live engagement.

Full stack engineers whose deepest work is on the backend qualify.

POCs and internal tools alone do not qualify.


5+ Years of Professional Backend Engineering Experience

With at least 1 to 2 years in a senior or lead role with direct responsibility for technical decisions and team output.


Deep Node.js and TypeScript Proficiency

Strong with Express, NestJS, or Fastify.

Comfort with async patterns, streams, worker threads, and performance profiling.


Python as a Strong Plus

Hands-on production experience with FastAPI, Django, or Flask is a meaningful advantage.

Willingness and demonstrated ability to pick up Python as engagements demand is required.


PostgreSQL Depth

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end to end.


Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, NATS).


AWS Depth

Hands-on production experience with EC2, S3, RDS, IAM, VPC, ECR, and at least one of EKS, ECS, or Lambda.

Comfort owning deployment, monitoring, and cost.


System Design and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship with limited supervision.


AI-Assisted Engineering Experience

Daily use of Claude, Cursor, Copilot, or equivalent.

Strong discipline for reviewing and validating AI-generated backend code.


Excellent Written and Spoken English

Experience working directly with international clients.

Confident defending architectural choices in writing and in review.


Nice to Have:

  • Workflow orchestration (Temporal, Airflow)
  • GraphQL (Apollo, gRPC)
  • Sandboxed execution environments
  • Multi-tenant SaaS experience
  • OpenTelemetry instrumentation
  • Prior agency or consulting experience
Read more
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6

Mandatory (Company) - Product Companies Only

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Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, not NITs). Candidates from other institutions will not be considered unless they come from top-tier product companies

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Mandatory (Note) : This role is a hybrid role (2 days WFO)

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Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred

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Preferred (Mentoring): Experience in mentoring, coaching the team.

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Zarihoun Traore
Posted by Zarihoun Traore
Remote only
4 - 10 yrs
₹7L - ₹10L / yr
skill iconPostgreSQL
TypeScript
skill iconPython
Large Language Models (LLM) tuning
Internationalization and localization
+10 more


This is a backend role. You won't build screens, and you don't need frontend experience. The mobile team will add a language picker and pass a locale to the backend. Everything behind that is yours: the data model, content pipelines, LLM generation, retrieval, audio, notifications, and making sure all of it holds up in production.

What you'll build

1. The language data model

  • Design how language lives in the database: user language preference, per-story translations, fallback chains (e.g. pt-BR → pt → en), and versioning so a translation is marked stale when its English source changes.
  • stories.translations (jsonb) already exists and nothing reads it yet. Decide whether it stays, or whether we move to a dedicated story_translations table, and write down why.
  • Everything ships as new, reversible migrations. We never edit an existing migration.

2. The content translation pipeline

  • Our library has already been translated into several languages using the Anthropic Batch API, with a two-pass generate-then-review process. Move this into the repo so it's idempotent, re-runnable and cheap, and so it handles only the stories that changed.
  • Build a glossary and style layer: Hebrew terms, names of sages and sources, and terms that must never be translated. Add automated QA checks (completeness, glossary adherence, length drift, broken formatting) plus a sampling workflow for native-speaker review.

3. Generation in the user's language

  • Reflections, bridge text, the three practices (Echo, Naming, Walking) and Path arcs are generated by Claude through shared prompt modules in our Supabase edge functions. Make them produce native, natural output in the target language. That means writing in the language directly, not translating English after the fact. Our existing rules must still hold, e.g. each practice carries a Hebrew term with its meaning explained, now explained in the user's language.
  • Build a per-language evaluation harness so we can check quality before a language goes live and catch regressions when prompts change.

4. Multilingual matching

  • Today, language-validation detects the language of the user's input and blocks anything that isn't English. Replace that gate with detection and routing.
  • Story matching uses OpenAI text-embedding-3-large over pgvector. Measure how well non-English input retrieves the right English-indexed stories. Then decide between cross-lingual matching, per-language embeddings, or a hybrid, and back the decision with numbers.

5. Audio

  • Stories and reflections are read aloud by ElevenLabs voices. Audio is currently stored per voice (audio_urls), so it has to become per voice and per language. Pick voices for each language, and plan batch pre-rendering, storage, cost and backfill.

6. Server-side copy

  • Move push notification copy (including our Shabbat-aware scheduling), transactional and lifecycle emails, and database-driven home-screen messages out of the code and into a locale-aware string system with proper plurals and date formats.

7. Safe rollout

  • Several app versions are live at the same time, and older builds can't be changed. Every change you make must stay backward compatible: English stays the default, current RPC signatures stay the same, and each language can be switched on independently behind a flag.
  • Track cost and quality for each language: tokens, TTS credits, fallback rate and generation failures.

Our stack

  • Backend: Supabase: Postgres (RLS, RPCs, pgvector, jsonb, pg_cron) and 50+ Deno/TypeScript edge functions
  • AI: Anthropic Claude (Messages and Batch APIs, prompt caching), OpenAI embeddings, ElevenLabs TTS
  • Data/scripts: Python and Node
  • Other: RevenueCat, Resend, Expo Push/FCM. The app is Expo/React Native, but you won't need to work in it.


You'll be a fit if you have

  • 5+ years of backend engineering, with strong PostgreSQL: schema design, migrations on live data, RLS, stored functions, and performance tuning.
  • Production TypeScript (Deno or Node) and solid Python for data pipelines.
  • Shipped LLM features to production, beyond prototypes: prompt design, structured output, batch processing, cost control, and above all evaluation. You know how to tell whether output in a language you don't speak is good.
  • Built backend internationalization before: locale negotiation, fallback chains, ICU/CLDR plurals and dates, and translation workflows with versioning.
  • Worked with embeddings and vector search, and can design a retrieval evaluation.
  • Care about keeping production running: backward compatibility, feature flags, and rollouts that can be undone.
  • Write clearly. Decisions here get written down before they get built.

Nice to have

  • Experience with ElevenLabs or other TTS pipelines.
  • Supabase-specific experience.
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Shubham Vishwakarma

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