Founding Engineer Lead at Craft My Plate · Hyderabad · 5 - 14 years · ₹30L - ₹50L / yr (ESOP available) · Bootstrapped · Posted 23 Sep 2026
Amazon Web Services (AWS)
React.jsRead This Before Anything Else
We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.
About CraftMyPlate
CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.
Where We Stand
Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.
Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.
The Technical Reality
Here's an honest read of the engineering problem, not a sanitized version of it.
Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.
Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.
The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.
You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.
Why This Role Exists
You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.
If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.
What You'll Own
- Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
- Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
- The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
- The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
- Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
- Technical accountability. When something breaks, you fix it. You don't escalate and wait.
Our Stack, and the Depth We Expect
Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.
Go deep here. This is where the real architecture decisions live, and where the business impact is highest:
- AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
- TypeScript, our primary language across backend and frontend.
- Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.
Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.
This Is You If
- You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
- You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
- You've made engineers around you measurably better, whether or not you've held the title for it yet.
- You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
- You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
- You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.
This Might Not Be the Right Fit If
- You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
- You'd rather receive direction than bring us architecture and AI strategy yourself.
- You haven't yet gotten hands-on with AI coding tools in your daily work.
- You're drawn more to the title than the work behind it.
If none of that sounds like you, we'd love to hear from you.
Requirements
- 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
- Prior experience leading or mentoring engineers, formally or informally.
- Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
- Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.
Compensation
Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.
If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Craft My Plate
About
India hosts 25M+ events every year, but ordering food is still a nightmare—unreliable vendors, inconsistent pricing, and no seamless way to book catering. We’re fixing this."
Craft My Plate is a vertically integrated food marketplace where customers can instantly customize menus, place orders, and get it delivered conveniently —without dealing with vendors.
Candid answers by the company
Craft My Plate is a vertically integrated food marketplace designed to make large food ordering hassle-free. Customers simply select and customize menus—without worrying .By ensuring consistent quality, transparent pricing, and seamless delivery.
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- Exceptional system-design, analytical, debugging, and problem-solving skills.
- Strong ownership, independent execution, technical leadership, communication, and mentoring abilities.
- Experience in startups or building products from scratch is highly desirable.
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- Ask the right questions up front, explain trade-offs in plain language, and bring product, QA and operations teams along with your decisions.
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- Clear written and spoken communication, and the independence to work with little day-to-day oversight.
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Location: Hyderabad, India (Hybrid)
Employment Type: Full-Time
Department: Engineering
About CargoSprint
CargoSprint accelerates cargo movement across air, ocean, road, and rail through innovative payment, appointment, and visibility solutions. We build technology that connects logistics operations, streamlines complex workflows, and improves the movement of goods across the supply chain.
Our engineering teams work at the intersection of logistics infrastructure, agentic AI, and modern cloud architecture to build scalable, reliable software that powers real-world freight operations.
About the Role
We are looking for a Senior Full-Stack Engineer with strong expertise in TypeScript, React, Node.js, and AWS serverless architecture to build and deliver end-to-end product features.
In this role, you will take ownership of features across the entire technology stack—from database schema design and backend APIs to intuitive, high-performance user interfaces. You will build serverless services, event-driven workflows, and AI-powered capabilities that simplify complex logistics operations for carriers, brokers, and shippers.
You will work within an established engineering ecosystem, following proven architectural patterns and delivering against a well-defined product backlog. We value engineers who combine strong technical fundamentals with pragmatic execution, sound engineering judgment, and a commitment to shipping production-ready software.
This is a hands-on engineering role for someone who enjoys building, taking ownership, and delivering meaningful product outcomes.
Key Responsibilities
- End-to-End Feature Development: Design, develop, test, and deploy full-stack features using React, TypeScript, Node.js, and PostgreSQL.
- Frontend Engineering: Build responsive, maintainable, and performant user interfaces using modern React patterns, reusable components, and effective state management.
- Backend Development: Develop scalable APIs and backend services using Node.js and AWS Lambda, following serverless and event-driven design principles.
- Cloud Architecture: Build and maintain AWS-based serverless applications, including asynchronous processing workflows and serverless container workloads where appropriate.
- Infrastructure as Code: Provision, configure, and manage cloud infrastructure using SST and infrastructure-as-code practices.
- Database Engineering: Design and evolve PostgreSQL schemas, optimize queries, manage migrations, and ensure data integrity.
- Technical Design: Contribute to architectural decisions involving data modeling, API contracts, system integration, and asynchronous processing patterns.
- Production Readiness: Maintain high standards for code quality, automated testing, observability, reliability, and operational support.
- Engineering Collaboration: Work closely with product managers, designers, and other engineers to translate requirements into reliable, maintainable solutions.
- AI-Assisted Development: Use AI-powered development tools, including Claude Code, to improve engineering productivity, accelerate implementation, and support effective problem-solving.
Required Qualifications
- 5+ years of professional software engineering experience.
- 3+ years of hands-on experience with TypeScript, React, and Node.js.
- Strong understanding of JavaScript and TypeScript fundamentals, modern frontend development, and full-stack application architecture.
- Solid React expertise, including component composition, state management, performance optimization, and reusable UI patterns.
- Proven experience building and operating serverless or event-driven backend services using AWS Lambda.
- Practical experience designing and implementing REST APIs or equivalent service interfaces.
- Strong hands-on experience with PostgreSQL, including schema design, query optimization, indexing, and database migrations.
- Experience with SST for defining and managing cloud infrastructure.
- Understanding of asynchronous processing, event-driven systems, and cloud application reliability.
- Familiarity with software testing, debugging, code reviews, version control, and production troubleshooting.
- Ability to take ownership of assigned work, work independently within established patterns, and deliver high-quality software consistently.
- Experience using AI-assisted development tools, particularly Claude Code, as part of everyday engineering workflows.
Technical Skills and Tools
Experience with the following technologies and libraries will be valuable:
- Frontend: React, TypeScript, TanStack, Motion, dnd-kit.
- Backend: Node.js, AWS Lambda, serverless application development.
- Cloud & Infrastructure: AWS, SST, serverless containers, event-driven architectures.
- Database: PostgreSQL, relational data modeling, query optimization.
- Utilities & Data Processing: Turf, ExcelJS, jsondiffpatch, dayjs.
- AI-Assisted Development: Claude Code and multi-session AI-assisted coding workflows.
Candidates are not expected to have equal expertise in every library. Strong fundamentals, adaptability, and the ability to work effectively within an existing technology stack are essential.
Preferred Qualifications
- Experience working with logistics, transportation, freight management, or supply chain platforms.
- Familiarity with Transportation Management Systems (TMS), including linehaul operations, storage, multi-stop movements, and shipment coordination.
- Understanding of Electronic Data Interchange (EDI) and integrations commonly used in logistics ecosystems.
- Experience building systems that process complex operational data and asynchronous business workflows.
- Exposure to agentic AI, AI-enabled product features, or AI-assisted software engineering workflows.
- Experience operating production applications on AWS with a focus on performance, observability, and reliability.
What Success Looks Like
In this role, success means:
- Delivering end-to-end product features with minimal supervision and a strong sense of ownership.
- Building reliable, maintainable, and performant applications across the frontend, backend, and database layers.
- Following established architectural patterns while identifying practical opportunities for improvement.
- Producing production-ready code with appropriate testing, monitoring, and error handling.
- Using AI-assisted engineering tools effectively to improve delivery speed without compromising code quality.
- Contributing to a collaborative engineering culture focused on execution, accountability, and continuous improvement.
Why Join CargoSprint?
- Real-World Impact: Build software that powers real freight operations and solves tangible logistics challenges.
- Ownership and Autonomy: Work in small, high-ownership teams with direct responsibility for meaningful product outcomes.
- Modern Technology Stack: Work with TypeScript, React, Node.js, AWS serverless services, PostgreSQL, and modern infrastructure tooling.
- AI-First Engineering: Contribute to a roadmap where AI is a core part of product development, not an isolated experiment.
- Collaborative Environment: Work with a globally distributed engineering team that values pragmatic problem-solving and effective execution.
- Hybrid Flexibility: Enjoy a hybrid working arrangement based out of our Hyderabad office.
Work Location
Hyderabad, India | Hybrid | Full-Time
If you are a hands-on full-stack engineer who enjoys solving complex technical problems, building reliable cloud-native applications, and delivering software with measurable real-world impact, we would love to hear from you.
Join CargoSprint and help build the technology that keeps global freight moving.
Python
C#React.jsPosition Overview
We are seeking a versatile Senior Full Stack & AI Agent Developer to architect, build, and
maintain end-to-end software solutions spanning web platforms, desktop applications, and
autonomous AI agents capable of interacting with and controlling these software systems.
The ideal candidate will bridge traditional engineering software with cutting-edge artificial
intelligence to automate data processing and enhance operational decision-making. While
not strictly required, a background or strong interest in the energy sector—specifically
drilling and completion operations—is highly desirable.
Key Responsibilities
• Full Stack Development: Design, develop, and deploy robust web applications and
native desktop software utilized by engineering and operational teams.
• AI Agent Engineering: Build, train, and integrate autonomous AI agents and LLM-
driven workflows capable of interpreting data, executing commands, and safely
controlling desktop and web-based software.
• Workflow Automation: Translate complex workflows into intuitive software features
and autonomous agent actions, minimizing manual data entry and operational
bottlenecks.
• Data Integration: Handle high-frequency data streams and integrate them seamlessly
into user interfaces and backend AI models.
• Architecture & Scalability: Ensure high performance, security, and scalability across
cloud infrastructure (AWS/Azure), local desktop environments, and potential edge
computing setups.
• Cross-Functional Collaboration: Work closely with domain experts and end-users to
translate field challenges into technical product requirements.
Required Qualifications & Experience
• Experience: Minimum of 5 years of professional software development experience,
with a proven track record of delivering production-ready web and desktop
applications.
• Programming Languages: Strong proficiency in Python, JavaScript/TypeScript, and at
least one compiled language (C#, C++, or Java).• Web & Desktop Frameworks: Hands-on experience with modern frontend
frameworks (React, Angular, or Vue.js), Node.js, and desktop application development
(Electron, WPF, Qt, or Tauri).
• AI & Agent Tooling: Demonstrated experience building AI agents using LLM APIs
(OpenAI, Anthropic), open-source models (Hugging Face), LangChain, LlamaIndex,
AutoGPT, or custom agent architectures.
• Automation & UI Control: Expertise in software control mechanisms using tools like
Selenium, Playwright, PyAutoGUI, Appium, or computer vision-based GUI automation to
allow AI agents to navigate software.
• Cloud, DevOps & Databases: Experience with Git, Docker, CI/CD pipelines, cloud
platforms (AWS/Azure/GCP), RESTful APIs, GraphQL, and relational/NoSQL databases.
Preferred Qualifications (Strong Plus)
• Industry Domain Expertise: Prior hands-on development experience within the oil and
gas sector, specifically focused on drilling, completions, rig operations, or subsurface
engineering software.
• Data & Protocols: Familiarity with oilfield data standards (e.g., WITSML, OPC-UA) and
time-series databases.
• Experience deploying AI models and agents in edge or low-connectivity environments
(such as offshore rigs or remote drilling sites).
• Familiarity with safety-critical software design and cybersecurity standards in
industrial control systems (ICS/SCADA).
• Degree in Computer Science, Software Engineering, Petroleum Engineering, or a related technical discipline.
.NETReact.jsKey Responsibilities
· System Design: Design secure, scalable, and highly available multi-tenant cloud-based application architectures.
· Integration Strategy: Build robust APIs, webhooks, and data pipelines for complex enterprise client connections.
· Technical Guidance: Mentor software engineers and lead critical code and architecture reviews to ensure engineering excellence.
· Performance & Security: Drive non-functional infrastructure needs including high uptime, strict data privacy compliance, and fast application response times.
· Cross-Functional Collaboration: Partner closely with Product, Security, and Customer Success teams to align technical execution with business roadmaps.
Required Qualifications
· Experience: 8+ years of experience in software engineering with at least 3+ years operating as a technical or solutions architect within a B2B SaaS environment.
· Cloud & DevOps: Deep production knowledge of major cloud infrastructure (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and modern CI/CD automation pipelines.
· Architecture Patterns: Proven expertise designing microservices, event-driven architectures, and high-performance relational and NoSQL database structures.
· Communication: Strong written and verbal communication skills, with a proven ability to translate complex technical concepts clearly to both engineers and business stakeholders.
· Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical work experience).
Preferred Skills
· Prior experience managing architectural frameworks for enterprise compliance frameworks like SOC2, ISO 27001, or GDPR.
· Background in building real-time data processing engines, stream frameworks, or integrating enterprise AI/ML components.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon