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Software Engineer for Shopify
Software Engineer for Shopify

Software Engineer for Shopify at Sweet Dreams · Mumbai · 2 - 8 years · ₹5L - ₹9L / yr · Profitable · Posted 20 Jan 2026

Sweet Dreams's logo

Software Engineer for Shopify

Gaurang Ruparelia's profile picture
Posted by Gaurang Ruparelia
2 - 8 yrs
₹5L - ₹9L / yr
Mumbai
Skills
Shopify
skill iconNextJs (Next.js)
Google Cloud Platform (GCP)

What This Role Offers

  • Direct access to founders — plus the runway to build your own e-comm brand.
  • Creative freedom to experiment with formats, hooks, and trends — and ship fast.
  • Massive visibility — your work will reach millions across India and the world.
  • A front-row seat to scaling a fast-growing, publicly listed fashion brand.

Not the Right Fit If You

  • Don’t understand technical concepts like Browser mechanics, Database management, Security.
  • Need heavy scripting or step-by-step creative direction to ship.
  • Haven’t contributed to Open Source before.
  • Want a purely managerial/strategist role with minimal hands-on creation.

Pro Tip: share your portfolio of past tech products you’ve made and notice our speed at responding ;)



What Makes You the Perfect Fit:

  • Technical Foundation: BSc in Computer Science (or equivalent) and prior experience as a Software Engineer—comfortable reading and writing code when needed
  • Automation & No-Code Expertise: Proven track record implementing at least two enterprise-grade SaaS or no-code tools (e.g., Coda, Zapier, Make.com, n8n) across multiple teams
  • Process-First Mindset: You see operations as a canvas—love mapping workflows, spotting bottlenecks, and reimagining end-to-end processes
  • Cross-Functional Communicator: Skilled at translating technical capabilities into clear business solutions, training non-technical stakeholders, and fostering user adoption
  • Continuous Learner: Passionate about evaluating the latest AI and automation platforms—constantly asking, “How can this tool make us faster, smarter, and more resilient?”


Why Work With Us & What’s In It For You

  • End-to-End Problem Solving: You’ll get to deconstruct real-world retail challenges—from inventory bottlenecks to customer experience gaps—fueling your curiosity and sparking ideas for building your own SaaS ventures down the road.
  • Deep Customer Insight: By collaborating closely with frontline teams and engaging directly with customers, you’ll develop a keen understanding of business grievances and the “voice of the customer,” sharpening your ability to design solutions that truly matter.
  • Avant-Garde Tool Playground: This isn’t a sandbox—it’s a live environment. You’ll have the freedom and support to evaluate, pilot, and roll out cutting-edge AI and SaaS platforms in mission-critical contexts, measuring impact in real time.
  • High-Impact Role: You’ll be the catalyst for digital transformation across every function of a fast-growing public company.
  • End-to-End Visibility: From sourcing raw materials to delighting end-customers, you’ll see firsthand how your solutions ripple through each stage of our business.


What You’ll Do:

  • Drive Process Reforms: Map existing workflows across Sales, Sourcing, Retail, E-commerce, Marketing, Accounts, Finance, Legal, and other functions—identify inefficiencies and redesign for speed, accuracy, and scalability.
  • Document & Diagram Workflows: Create clear process documentation and visual workflow diagrams for every automation and tool integration to ensure transparency and maintainability.
  • Produce Training Content: Develop short, engaging video tutorials and introductory demos that walk teams through new SaaS/no-code tools and AI workflows, ensuring rapid adoption and self-service capability.
  • Implement Modern SaaS using Vibe Coding & No-Code Solutions: Lead the roll-out of platforms such as Coda, Make, Zapier, n8n, and generative-AI services—build custom dashboards, automated notifications, data integrations, and self-service portals for each department.
  • Cross-Department Collaboration: Partner with stakeholders from every team to define requirements, pilot new systems, gather feedback, and scale solutions—ensure adoption through workshops, documentation, and ongoing support.
  • Prototype & Experiment Rapidly: Develop proof-of-concept automations and AI workflows; conduct quick A/B tests to validate impact on KPIs like turnaround time, error rates, and employee satisfaction.
  • Scale & Standardize: Once a tool or process shows positive ROI, establish best practices, security guidelines, and governance frameworks to ensure consistency and compliance across the organization.



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About Sweet Dreams

Founded :
1987
Type :
Product
Size :
100-500
Stage :
Profitable

About

We’re the world’s only publicly listed sleepwear brand—but that’s just where the story begins. Where conventional fashion leaves off at 8 PM, we pick up—and dress you until 8 AM. With over 30 years of shaping fashion and comfort across India, SWEET DREAMS is now entering its most exciting chapter yet.


If you live for deconstructing complex problems, researching up SaaS solutions during breakfast, and thrive on cross-functional collaboration—this role was made for you.


You won’t be a bystander in a corner office. You’ll be the boots-on-the-ground AI Efficiency Hacker who turns a manual workflow into a self-serving app, a departmental headache into a seamless integration, and “How do we do this?” into “See it live in our software.”


You’ll work side-by-side with our founders and bring efficiency to every team—from Sales and Sourcing to Retail, E-comm, Marketing, Finance, and Legal.

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Tech stack

skill iconNextJs (Next.js)
Google Cloud Platform (GCP)
Azure
MSSQL
Shopify

Company video

Sweet Dreams's video section
Sweet Dreams's video section

Candid answers by the company

What is the location preference of jobs?

Mumbai

OR

Ahmedabad

Company social profiles

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Job Details and Application Submission


Location: Remote

Employment Type: Full-time

Contract: One-year contract, with the possibility of extension based on satisfactory performance

Probationary Period: Six months

Preferred Experience: Three or more years

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• Strong documentation skills


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• Experience with Azure Logic Apps and understanding of when to use Logic Apps vs. Power Automate

• Familiarity with Azure services: Azure Functions, Service Bus, Key Vault, and API Management

• Exposure to Jira or Salesforce integrations via Power Automate

• Scripting experience with PowerShell or Python for automation support tasks

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Fine-tuning LLMs
Model Context Protocol (MCP)
Artificial Intelligence (AI)
TypeScript
+2 more

About Us:


CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.


Our Values


We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.


Equal Opportunity Statement


CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/


Role :


A Software Engineer who builds the tools this company runs on. You build agent loops, and the loops build the solutions. You work towards a Company Brain that anyone here can ask.3–5 years’ experience · Reports to the CFO · 


THE KEY SKILL


You build the agent loops that build the solutions. You will not write every automation by hand. You build the loops that

write them. Ship a prototype every week. You ship something every day.


You’ll be building a Company Brain with access control. One system that holds what the company knows about finance,delivery and people. Anyone can ask it a question. Each person sees only what they are cleared to see.

One hard filter. If you cannot write and debug production code, and have not done it before, please do not apply.


CORE RESPONSIBILITIES


• Work the backlog: You pick items off a live, ranked backlog. You learn each function by building inside it. There is no discovery phase. What you learn goes back into the backlog and changes what comes next.


• Build the product: You design, build and ship tools that people use every day. Reconciliation, MIS, the deal desk,quote to cash, or whatever the real bottleneck turns out to be. You choose the tools and frameworks.


• Wire the data: Connect the systems each team already uses, so that the same number means the same thing everywhere.


• Make it visible: You build live dashboards and alerts that leaders read on their own, instead of asking someone for a report.


• Keep it running: You own uptime and accuracy for everything you build. Anything that touches money or people needs a person in the loop.


THE STACK


• Build with: Python and TypeScript. You write production code. Frontier model APIs from Anthropic, OpenAI or Google, with tool calling and structured output. At least one agent framework. MCP to connect agents to internal systems.Postgres and pgvector, or something similar, for retrieval. You deploy on GCP, and you debug your own work.


• Work in agents daily: Claude Code, Cursor or something like them, as the way you write code every day. You should have a clear view on how to run the loop, and on when a person has to step in.


• Connect to: The systems we already run on for accounting, CRM, hiring and IT support, along with Google Workspace.Most of the work is getting them to agree with each other.


• Check what you ship: Anything that produces a number needs a way to catch it going quietly wrong. Test sets, regression checks, and alerts on the output as well as on the job.


WHAT GOOD LOOKS LIKE


• Something you built is running by week two, and someone is using it.

• By day 90, time spent on reconciliation or reporting is down by a number you can defend to the CFO.

• Every tool you ship has a named owner who is still using it 60 days later. That is the measure that counts.

• Leaders stop asking for numbers, because they can already see them.

• By the end of your first year, a first version of the Company Brain answers real questions about Finance, and each

person who asks sees only what they are cleared to see.


WHO THIS IS FOR


• You have built products: 3 to 5 years at a software product company, on a product with real users at scale. That means 100k+ monthly active users, or heavy daily use by a large enterprise customer base. You have owned code in production, in front of real users, long after it shipped.

• You ship alone: You are comfortable as the only engineer in the room, and the only person on call for what you built.

• You work out new ground fast: A domain you do not know is interesting to you. You start without waiting for a spec or an expert.

• You are fluent with agents: One person cannot cover a whole company by hand. You use agent loops heavily and youare good at it.

• You write and speak clearly: Half this job is pulling a process out of a finance or delivery lead and giving it back to them correctly. You work remotely, so this matters a great deal.


HOW WE WILL ASSESS

• A design problem: Live. We give you a function of the B2B company, and you design the system for it. We watch how you break down a domain you do not know, how you size it, and what you leave out on purpose.

• A build exercise: Live and screen-shared, on your own setup, with your own agents. You build the way you normally build. We watch how you run the loop, when you step in, and what you decide to skip.

• Your work and your questions: We talk about what you have shipped before. You ask us whatever you want.


Communication is not a separate round. All three sessions are live, and how clearly you explain your thinking is part of how we judge you.


WHERE IT LEADS

You report to the CEO and CFO from your first day. Your charter covers the whole company. Nothing sits between you and production. Very few engineering jobs offer all three at once, and that is why this one exists.

In 18 months you will know how this company really runs: the data, the money, and the gaps between teams. The rolethen changes shape to fit whatever the biggest open problem is by then.

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Remote only
4 - 10 yrs
₹15L - ₹25L / yr
Supabase
skill iconPostgreSQL
Windows Azure
skill iconAmazon Web Services (AWS)
bicep
+3 more

About PowerTech Digital

PowerTech Digital is a UK software development and digital consultancy working with enterprise clients on digital transformation, data architecture, and AI-enabled delivery. We're a small, senior team that ships fast by pairing strong engineering judgement with AI-native tooling — and we're productising that approach.



Prompt to Production is our newest service: organisations empower their workforce to build applications on AI platforms like Lovable, Bolt, and Claude, and we take those applications to secure, production-grade deployments on the client's own cloud — their identity, their policies, their infrastructure. Every release goes through the same governed pipeline: handover → security audit → hardening → deployment. You would own that pipeline.



The role

This is a hybrid delivery-and-product role. Roughly two-thirds is running and improving the Prompt to Production service end to end; the rest is full-stack product engineering on client builds and our own tooling. You'll work directly with the founder, with real autonomy, modern AI tooling as standard, and a clear brief: make the service so repeatable that every deployment is execution, not invention.

What you'll do

  • Run the deployment pipeline: take applications built by citizen developers from a GitHub handover through security audit, remediation, hardening, and release to Azure (AWS/GCP as we expand).
  • Lead handover calls (30–60 min) with the people who built the apps — understanding what they made, what it touches, and who needs access.
  • Execute AI-assisted security audits using Claude Code against our published checklist — auth and authorisation, RLS policies, secrets handling, data exposure, dependency vulnerabilities — and produce our standardised audit report.
  • Implement production hardening: migrate authentication to Microsoft Entra ID (tenant-locked app registrations), move secrets into Azure Key Vault, configure CI/CD with GitHub Actions and OIDC federated credentials.
  • Own and improve the infrastructure templates (Bicep/Terraform + cloud-init): per-app resource groups, self-hosted Supabase stacks, automated backups to Blob Storage, monitoring with Application Insights.
  • Operate live tier 2 stacks: updates, backup verification, restore tests, secret rotation.
  • Build product: full-stack features on client engagements and internal tooling — including AI integration work (LLM APIs, agents, structured extraction, evals).
  • Make the service better every cycle: tighten the audit checklist, automate the manual steps, improve the templates. Your job is to make your own job smaller.

What you must bring

  • 3–6 years as a full-stack engineer with Node.js and TypeScript/React at the core — you're genuinely strong at building product, not just gluing services.
  • Must have experience managing and maintaining self-hosted Supabase
  • PostgreSQL in production; Supabase experience (RLS, auth, migrations, edge functions) is a significant advantage.
  • Real Docker/Compose ownership and CI/CD you've built yourself (GitHub Actions preferred).
  • Cloud fundamentals — ideally Azure (VMs, networking, Key Vault, Entra ID); strong AWS/GCP experience with willingness to go deep on Azure also works.
  • AI integration experience in shipped products — you've built with LLM APIs (Anthropic, OpenAI), understand prompting, structured outputs, and where AI belongs (and doesn't) in a product.
  • Security instincts: you think about what an app exposes before you think about what it does.
  • Excellent written and spoken English — you'll run client-facing calls and write reports that IT directors file.

The mindset we're hiring for

Product engineering, not ticket-taking. You ask why before how, you'd rather delete a step than document it, you treat every deployment as a chance to improve the system that does deployments, and you're comfortable being the person accountable for something working in production. You already use AI tools as a force multiplier in your daily work — this role assumes it.

Nice to have

  • Bicep or Terraform in anger; Linux server administration.
  • Experience with AI app builders (Lovable, Bolt, v0) — even personal projects.
  • Security certifications or OWASP familiarity; AZ-104/AZ-204.
  • Experience working directly with clients or stakeholders in a consultancy setting.

Logistics & compensation

  • Remote-first. Significant overlap with UK working hours required.
  • Competitive compensation based on location and experience. [Adjust per market — e.g. ₹18–28 LPA for India-based candidates; contractor or EOR arrangement available.]
  • Direct exposure to the full commercial picture of a productised service — how it's priced, sold, and scaled.
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