Software Engineer

Read 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.

Job Overview

We are hiring a Senior Full-Stack Engineer to design and scale high-performance web applications. You will drive technical decisions using React, Node.js, and TypeScript while building event-driven cloud architectures.

Key Responsibilities

• Develop scalable frontend features using React and robust backend APIs with Node.js/TypeScript.
• Architect and deploy cloud-native microservices on AWS.
• Implement asynchronous communication using messaging tools like Kafka, RabbitMQ, SQS, or SNS.
• Optimize SQL/NoSQL databases and maintain automated CI/CD pipelines.
• Mentor junior developers and lead code reviews.

Required Skills

• 6+ years in full-stack software development.
• Mastery of TypeScript, React.js, and Node.js.
• Hands-on experience with AWS and modern messaging queues.
• Strong problem-solving and communication skills.

Location: Hyderabad

Tech Architect/Lead – Node.js ( React & Angular) (Full Stack)

Experience: 8–15 years

Role Type: Technical Leadership / Hands-on Architecture & Development

Role Overview

We are looking for a hands-on Technical Architect / Tech Lead with strong expertise in Node.js and Angular/React who can own end-to-end technical delivery, lead an engineering team, make architecture and design decisions, and work closely with Product, QA, and DevOps teams.

The ideal candidate should have strong product development experience and be capable of taking ownership from requirements and architecture through development, deployment, and production support.

Key Responsibilities

• Own end-to-end technical delivery of applications/modules, ensuring quality, timelines, scalability, and maintainability.
• Design and evolve application architecture using Node.js, React, Angular TypeScript/JavaScript, and modern architectural patterns.
• Translate product/business requirements into technical architecture, system design, APIs, data flows, and implementation plans.
• Make key architecture and technology decisions, conduct design/code reviews, and establish engineering best practices.
• Remain hands-on and contribute to the development of critical and complex features.
• Lead and mentor the engineering team, provide technical direction, remove technical blockers, and drive engineering quality.
• Design and develop scalable backend services, REST APIs, integrations, and frontend applications.
• Define appropriate deployment, release, and environment strategies in collaboration with DevOps.
• Work with DevOps/Cloud teams on CI/CD, Docker/containerization, configuration, logging, monitoring, scalability, and production deployments.
• Identify and proactively address technical risks, performance issues, security concerns, and scalability challenges.
• Collaborate closely with Product, QA, Business, and DevOps stakeholders throughout the SDLC.
• Ensure effective practices around code quality, testing, version control, release management, and production readiness.

Must-Have Technical Skills

Backend

• Strong hands-on expertise in Node.js
• TypeScript / JavaScript
• REST API and service-oriented/microservices architecture
• API security, authentication/authorization, integrations
• Asynchronous and event-driven programming
• Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or equivalent

Frontend

• Strong hands-on expertise in Angular & React
• React application architecture and component design
• State management and frontend design patterns
• Modern JavaScript/TypeScript
• Frontend performance and responsive application development

Architecture & System Design

• Strong experience in application architecture and system design
• Design patterns, scalability, performance, security, and maintainability
• Experience designing distributed/scalable applications and integrations
• Ability to evaluate technology options and make pragmatic architecture decisions

DevOps / Cloud – Working Knowledge

• Good understanding of CI/CD and deployment strategies
• Git and branching strategies
• Docker/containerization/Kubernetes concepts
• Environment/configuration management
• Logging, monitoring, observability, and production troubleshooting
• Working knowledge of AWS, Azure, or Google Cloud
• Ability to effectively collaborate with DevOps/Cloud teams

Scripting

• Good scripting/automation skills using JavaScript/TypeScript, Shell, Python, or similar

Leadership & Product Skills

• Proven experience leading engineering teams and mentoring developers.
• Strong ownership of product development and technical delivery.
• Ability to work with Product/Business teams and convert requirements into technical solutions.
• Strong problem-solving and decision-making skills.
• Excellent communication and stakeholder-management skills.
• Ability to balance delivery timelines, technical debt, quality, scalability, and maintainability.
• Experience working in Agile/Scrum product development environments.

Next

Role & Responsibilities

• Own end-to-end architecture, system design, development, and production deployment of scalable, AI-powered applications.
• Architect and develop high-performance backend services using Node.js, NestJS, TypeScript, Express.js, and Go.
• Design scalable web applications using React.js and Next.js, and cross-platform mobile applications using Flutter and Dart.
• Design distributed systems, microservices, event-driven architectures, and real-time applications capable of handling massive data volumes and high concurrent traffic.
• Design and optimize PostgreSQL/MySQL databases, MongoDB, Redis caching, database indexing, transactions, and query performance.
• Build real-time ride-booking, driver-allocation, location-tracking, and proximity-based matching systems using geospatial technologies such as PostGIS.
• Design and implement REST APIs, WebSockets, secure authentication, authorization, RBAC, and third-party integrations.
• Build and integrate Generative AI applications, LLM-powered chatbots, AI agents, RAG pipelines, embeddings, vector databases, tool calling, and intelligent automation workflows.
• Develop AI and backend services using Python and integrate LLM platforms such as OpenAI, Claude, and Gemini.
• Architect secure payment integrations, transaction workflows, webhook processing, idempotency, and payment reconciliation.
• Design and implement cloud-native infrastructure using AWS, Docker, CI/CD pipelines, and production monitoring tools.
• Ensure application security, scalability, reliability, performance, maintainability, and cost efficiency.
• Lead technical decision-making, code reviews, debugging, performance optimization, documentation, and mentoring of developers.
• Independently own critical engineering deliverables and drive products from concept and architecture through development, testing, deployment, and production support.

Preferred Candidate Profile

• 710+ years of software development experience, with substantial hands-on experience in technical architecture and production-grade application development.
• Expert-level proficiency in Node.js, NestJS, TypeScript, REST APIs, backend architecture, and microservices.
• Strong experience with React.js, Next.js, and modern frontend architecture.
• Hands-on experience with Flutter and Dart for Android and iOS application development.
• Proven experience designing scalable systems, handling large data volumes, concurrent workloads, and performance-critical applications.
• Strong experience with PostgreSQL, database design, indexing, query optimization, transactions, Redis, and geospatial systems.
• Practical experience building and deploying LLM-powered applications, AI agents, RAG systems, embeddings, vector search, and AI workflow automation.
• Proficiency in Python for AI integrations and backend services; Go language experience is highly desirable.
• Strong understanding of authentication, authorization, application security, payment integrations, and secure API design.
• Hands-on experience with AWS, Docker, CI/CD, Git, production deployments, logging, and monitoring.
• Familiarity with Kafka/RabbitMQ, Kubernetes, LangChain/LlamaIndex, and event-driven architectures is an advantage.
• 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.

What We Expect

We are looking for a highly hands-on technical leader who can independently architect, design, develop, optimize, and deploy complex production systems. The ideal candidate must demonstrate genuine technical depth, strong engineering judgment, and the ability to lead end-to-end product development across backend, web, mobile, cloud, and AI technologies.

Role: Senior Full-Stack Engineer — TypeScript & React

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.

Most software was written for people to read. We are rebuilding a large, mature codebase so that AI agents can read it, change it and ship it too, without breaking what already works.

In this role you will decide how the system should be cut up and what each piece promises to the others. You will put legacy logic behind clear contracts, one safe step at a time. You will design the data models, APIs and tests that keep behavior correct under load, retries and failure. You will build the MCP tools and agent context that agents rely on, and you will set the bar for what AI-written code must meet before it merges.

You will work hands-on, not from the sidelines, and you will own your work from design through production. You will also explain your trade-offs clearly to engineers, QA, operations and product, and bring them along with your decisions. The role is remote and on contract, with a globally distributed team. It suits an architect who reasons from first principles, uses AI tools daily with healthy skepticism, and is comfortable with open-ended problems.

WHAT YOU WILL DO

Design systems that agents can operate

- Break legacy monoliths into modular systems with strict boundaries, single responsibility and clear contracts.

- Lead incremental modernization using the Strangler Pattern, wrapping legacy logic behind modern, contract-first interfaces.

- Design data models, keys and constraints from the queries and rules the system must always uphold, and enforce integrity in the database instead of leaving it only to application code.

- Apply SOLID principles, dependency injection and hexagonal architecture so AI-generated changes stay deterministic and regressions stay low.

- Design for real-world cases: simultaneous requests, retries and duplicate messages, partial failures, and changes to data that already exists.

Build the agent and MCP layer

- Build and maintain the agent context layer: shared skills, rules and commands for AI-driven engineering workflows.

- Build and run Model Context Protocol (MCP) servers that expose legacy APIs, services and databases as typed, permissioned, auditable tools.

- Own contract-first API design as the main interface between human intent and agent execution.

- Design agent loops with clear tools, permissions and stop conditions, and tune them for cost, speed and quality.

Keep AI-written code trustworthy

- Review AI-generated pull requests for correctness, security, scalability and maintainability. Check that tests assert real behavior and do not just pass.

- Require test-first development and characterization tests that preserve legacy behavior during refactoring.

- Set the review habits, checklists and guardrails that help the wider team use AI tools well, and know when not to use them.

Own outcomes and work across the business

- Take responsibility from design through production, including monitoring, incidents and follow-up.

- Ask the right questions up front, explain trade-offs in plain language, and bring product, QA and operations teams along with your decisions.

- Mentor engineers and set a consistent standard for design and code quality.

WHAT WE ARE LOOKING FOR

- 6+ years in software architecture, platform engineering or technical leadership.

- Proven experience modernizing large, poorly documented legacy systems.

- Strong hands-on depth in TypeScript and Node.js, or in .NET. Depth in one is enough.

- Strong command of API design, relational data modeling, SQL, transactions and concurrency.

- Solid system design fundamentals: queues, caches, background workers, sync versus async, and what breaks first as load grows.

- Practical, day-to-day use of AI coding tools on real projects, with a deliberate workflow, a habit of verifying output and a clear view of the risks. Experience building agents, MCP servers or AI tooling is a strong plus.

- A bias toward clean code, tests first, deterministic systems and production-grade AI.

- Clear written and spoken communication, and the independence to work with little day-to-day oversight.

NICE TO HAVE

- Experience with remote-first or globally distributed teams.

- Background in SaaS transformations, scale-ups or private equity-backed environments.

- Comfort in high-ambiguity, high-ownership settings.

HOW WE HIRE

Expect an online assessment followed by technical conversations where you will reason through data models, queries and designs in plain language, and explain how you use AI tools in your own work. We are looking for sound thinking and honest answers, so please be ready to explain your own resume claims in detail.

Responsibilities Include:

● Architecting, building, testing, and deploying applications that support our transportation network

● Modifying designs and specifications of complex applications

● Collaborating and adding value through participation in peer code reviews, providing comments and suggestions

● Leverage AWS and other cloud technologies to design and implement systems in a serverless and event-driven environment

● Working with technical and non-technical end-users, other engineers, and product managers in a cross-functional, quick-moving, and collaborative environment

● Analyzing code, requirements, system risks, and software reliability and providing recommendations on how to leverage our technology more efficiently

● Working with Product and Design to confirm requirements, prioritization, and development of new features

● Design and implement LLM-powered features to solve complex logistics challenges, automate manual operational workflows, and unlock new efficiencies for our network.

● Champion AI-assisted engineering practices by integrating machine learning and intelligent automation into our CI/CD pipelines to predict deployment risks and accelerate delivery cycles.

What You Bring:

● Ability to adapt to changing requirements and work in a fast-paced environment.

● Ability to work effectively in a cross-functional team environment.

● 7+ years of experience building, testing and deploying applications in high-traffic production environments

● 7+ years of experience developing software with Javascript, Node.js and React

● Enjoys taking initiative, is a self-starter, willing to move fast and ship quick, and is excited about collaborating on big challenges

Preferred Qualifications:

● Experience in transportation, logistics or network orchestration systems is highly desirable

● Experience working in a remote first environment.

● Proficiency with AWS, GCP, or similar cloud platforms.

● Strong skills in React and Node.js for end-to-end development. 

Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.

Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

• Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
• Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.
• Certifications in AWS & Other skills and technologies will be an added advantage.

Educational Qualification

• B.Tech / M.Tech in CSE/IT/AI&ML only from a recognized university/college. 

About the client

The client is the home base for hardware engineers. They give the teams building robots, rockets, medical devices, and the next generation of physical products a single place to move fast without breaking things, turning CAD chaos into a system of record engineers actually love to work in. They are profitable, post-Series A, and growing the Hyderabad engineering team.

About the role

We're looking for a senior full-stack engineer to own significant pieces of our platform end-to-end, from React frontends to Node services on AWS. You'll ship production features, make sound technical decisions, and set a high bar for quality through your own work.

What you'll do

• Design, build, and ship full-stack features across our TypeScript/React frontend and Node.js backend on AWS
• Own systems end-to-end, from implementation through deployment, monitoring, and production hardening
• Write clean, well-tested code and contribute to a strong engineering culture through thorough code review
• Make pragmatic architecture and design decisions, weighing tradeoffs in an ambiguous, fast-moving environment
• Tackle hard problems across data processing, file workflows, and distributed systems at scale
• Collaborate closely with product and the rest of engineering to scope and deliver reliably

What we're looking for

• Strong full-stack proficiency in TypeScript, React, and Node.js
• Solid, practical experience with AWS A track record of shipping features all the way to production and owning them in operation, not just to "done on my machine"
• Good design judgment: you can decompose problems and choose pragmatic solutions
• Proactive, clear communication; you surface blockers early and keep stakeholders informed
• Comfort with the fast pace, breadth, and high ownership of an early-stage environment Build hardware faster. better. together. ·

Why choose us?

• The teams building advanced hardware and the robots, machines, and devices shaping the future run
• Direct access to founders; you'll help shape product and engineering direction, not just execute tickets
• Fast feedback loops: what you build is in front of customers in days, not quarters
• Profitable at Series A, so you get startup upside without the constant fundraising-survival anxiety
• Competitive compensation and meaningful equity
• Bi-yearly appraisal cycles
• Upto 20% Bonus based on performance
• Monthly Swiggy vouchers
• Flexibility with work hours

Key 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.