Lead Engineer at Product Based Startup · Remote only · 7 - 12 years · Remote only · Posted 9 Feb 2022

7+ years of extensive software engineering experience preferably in a startup environment where you have shipped a high quality product to users before
T-shaped full stack experience with deep expertise in frontend frameworks like React,
Angular and Vue.js, database design using SQL and NoSQL
We would highly value past experience of building text editors, online whiteboards or content management systems or creator and developer tools
Have experience in building micro-services and distributed systems at scale
Have experience building Real Time Collaboration (RTC) in a digital product.
Experienced in leading front end and back end teams to deliver scalable, maintainable and permanent software; ability to switch between leading and executing (writing code)
as required. Having DevOps experience is a plus
Empathy and ability to communicate your technical solutions, feedback and product ideas constructively
Have strong opinions but are not ideologically tied to specific technologies; naturally curious and willing to take a step to learn something you don’t have experience in;comfortable picking up new stacks and choosing the right tool to get the job done

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Brahmveda Ventures Private Limited is an AI-focused venture studio that builds and launches technology products from the ground up. We work across different ventures, solving real business problems through technology, AI, and product innovation.
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We are looking for a Senior Full Stack Developer who can take ownership of building scalable products and solve complex technical problems end-to-end.
Your Role
We are looking for a Senior Full Stack Developer who can take ownership of building scalable products and drive technical initiatives from idea to production.
- Build and ship scalable applications using Node.js, React.js, and TypeScript.
- Design system architecture, technical solutions, and efficient database structures.
- Build and manage queues, workers, and long-running background jobs.
- Use AI agents and AI coding tools hands-on to improve development and solve engineering problems.
- Take ownership of technical initiatives and deliver features from idea to production.
- Collaborate with the team to improve performance, reliability, and engineering practices.
What We're Looking For
- 7+ years of strong hands-on Full Stack Development experience.
- Strong knowledge of Node.js, React.js, TypeScript, and databases.
- Strong understanding of system design, architecture, and database design.
- Experience with queues, background jobs, and asynchronous processing.
- Hands-on experience with AI agents / agentic software engineering is a key requirement.
- Strong problem-solving and decision-making skills.
- A strong ownership and product mindset with the ability to independently drive work and get things shipped.
Job Description:
Head of Engineering — Chennai (Onsite)About the Role
Job Details
Position: Head of Engineering
Department: Engineering
Experience: 6–8 Years
Employment Type: Full-time
Location: Chennai, On-site
Salary: Up to ₹24,00,000 per annum
About the Role
We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.
This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.
What You’ll Do
- Own engineering end to end, including architecture, development, delivery, quality, and hiring.
- Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
- Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
- Improve development velocity and reduce cycle time without compromising product quality.
- Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
- Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
- Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
- Build, mentor, and scale a high-performing engineering team.
What We’re Looking For
- 6–8 years of professional software engineering experience.
- Experience taking at least one product from zero to launch.
- Experience building and scaling at least one product to a large user base.
- Strong hands-on expertise in Python and Node.js.
- Comfortable working with React Native / Expo.
- Strong understanding of PostgreSQL and database fundamentals.
- Previous experience leading a small engineering team.
- A leadership style based on ownership and technical example, rather than simply assigning tickets.
- Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
- Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
- Based in Chennai or willing to relocate.
How We Work
We operate with high pace, high ownership, and short feedback loops.
You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.
If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.
How to Apply
Join Aura Gold and be part of building a high-performing team from the ground up!
Ability to commute/relocate:
- Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)
Education:
- Bachelor's (Preferred)
Language:
- English, Tamil , Hindi (Required)
Location:
- Chennai, Tamil Nadu (Chennai, Chennai District) (Required)
Work Location: In person
Roles & Responsibilities
- Write, review and merge production code across Vue.js frontend and Node.js backend
- Own code quality for the India team — set review standards and refactor technical debt
- Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
- Guide the team on day-to-day development decisions and step in on unsolved problems
- Design solutions for new modules from spec to schema to API contract to implementation
- Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
- Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
- Make and document build-vs-buy calls on third-party services with cost and integration effort
- Ensure the platform stays stable and performant on a live, revenue-generating system
- Demonstrate daily working use of AI coding tools and spec-driven development practice
- Judge AI output quality and know when tasks should not be handed to agents
- Set up and maintain repo-level context files and make the team's AI setup consistent
- Coach the team on AI tools while holding the line on quality
- Work with LLM APIs, embeddings, semantic search and understand where AI features help
- Run sprint planning, estimation, standups and retros for the India team
- Break requirements into technical tasks with clear acceptance criteria
- Track velocity and flag slippage and blockers early
- Own release coordination — deployment planning, rollback strategy and post-release monitoring
- Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
- Mentor mid-level engineers into senior ones and build depth
- Participate in hiring — technical screening, interviewing and onboarding
- Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
- Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
- Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
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- Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding
Ideal Candidate
1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations
Summary
We are looking for an exceptional AI-native full-stack product engineer who can take product specs, prototypes, or PRDs and turn them into clean, tested, QA’d, merge-ready branches.
We are building a fast-moving software company and currently use AI coding tools heavily in our development workflow. Right now, the delivery process is: prototype review, spec clarification, implementation planning, AI-assisted coding, QA, checking what was actually built, and preparing features for final merge.
We want to have this entire workflow managed by the right engineer.
Your job will be to take a feature brief, PRD, prototype, or Loom walkthrough and own the process from:
Input → clarification → implementation plan → AI-assisted build → self-review → QA → PR → merge-ready branch.
We are looking for someone who can take ownership, not create more management work.
What You’ll Do
You will be responsible for:
- Reviewing PRDs, prototypes, tickets, or Loom walkthroughs
- Asking clear, batched clarification questions
- Creating concise implementation plans before coding
- Using AI coding tools to accelerate development
- Reviewing and improving AI-generated code
- Building full-stack product features
- Writing or updating tests where appropriate
- Running QA before handing work over
- Creating clean, reviewable pull requests
- Documenting what was built, what changed, and what risks remain
- Preparing branches that are actually ready to merge
- Communicating clearly and asynchronously
What “Done” Means
A feature is not done when the code is written. A feature is done when:
- The implementation matches the PRD/prototype
- Acceptance criteria are completed
- Code is clean and understandable
- Build/lint/type checks pass
- Relevant tests are added or updated
- Manual QA has been completed
- Screenshots or Loom walkthrough are provided when relevant
- PR description is clear
- Risks, assumptions, and deviations are documented
- The branch is ready for review/merge
Ideal Candidate
You are probably a strong fit if you are:
- An experienced full-stack engineer with strong product judgment
- Experienced with AI coding tools such as Claude Code
- Comfortable taking a vague product idea and turning it into a working feature
- Able to review AI-generated code critically
- Strong with GitHub PR workflows
- Detail-oriented with good QA discipline
- Clear in written communication
- Comfortable working in a fast-moving startup environment
- Able to work independently without needing constant hand-holding
- Good at asking the right questions early
You Are Not a Fit, please do not apply if:
- You blindly trust AI-generated code
- You need every task broken down into tiny instructions
- You say “done” without testing your work
- You create large messy PRs
- You cannot explain your own code
- You are only comfortable with narrow frontend or backend tasks
- You are not comfortable with ambiguity
- You dislike writing implementation plans or QA notes
- You require constant synchronous direction
Required Skills
Please include your experience with:
- Full-stack web development
- Frontend frameworks
- Backend/API development
- Git/GitHub
- Pull request workflow
- Testing and QA
- AI-assisted coding tools
- Debugging and self-review
- Product-focused software development
- Nice to Have
- Startup experience
- Experience as a founding engineer or product engineer
- Strong UX/product taste
- Experience with automated testing
- Experience with CI/CD
- Experience with preview deployments
- Experience turning Figma/prototypes into production features
- Experience working directly with founders
How We Work
We will usually provide one or more of:
- PRD
- Prototype
- Figma
- Loom walkthrough
- Linear/Jira/Notion ticket
- Product brief
- Screenshots
- Existing codebase
You will be expected to return:
- Clarifying questions, if needed
- Implementation plan
- Branch/PR
- QA notes
- Test results
- Screenshots/Loom if relevant
- Clear summary of what was built
- Any risks, tradeoffs, or unresolved questions
Trial Task
We will start with a paid trial task.
The trial will involve a small real feature or product improvement. You will be asked to:
- Review the brief/prototype
- Write a short implementation plan
- Build the feature
- QA it
- Open a clean PR
- Provide a Loom or written walkthrough
- Document assumptions, risks, and anything not completed
We are not just evaluating whether the code works. We are evaluating whether you can own the delivery process end-to-end and how well you leverage AI.
What Success Looks Like
Success means the team can give you a PRD or prototype and receive back a merge-ready branch without needing to manage every step.
Great output looks like:
“I reviewed the feature brief, found two ambiguities, made reasonable assumptions, implemented the core flow, added tests, QA’d happy path and edge cases, documented one tradeoff, and the branch is ready for review. Management's input is only needed on this one product decision.”
Preference will be given to candidates who can work with high ownership and potentially become a long-term product engineering partner.
To Apply, please consider answering the following questions:
- What AI coding tools do you use regularly, and how do you use them?
- Walk us through your process for turning a PRD or prototype into a merge-ready branch.
- How do you QA your own work before asking for review?
- What are the biggest risks of AI-generated code?
- Share an example of a PR, project, or product feature you built that you are proud of.
- What stack are you strongest in?
- Are you comfortable doing a paid trial task?
- What does “merge-ready” mean to you?
Full-Stack Engineer (AI-Native) | 2-4 Years Experience
About the Role
We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.
What You'll Do
Frontend
- Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
- Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
- Monitor web vitals and fix performance regressions
Backend
- Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
- Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
- Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
- Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control
AI-Assisted Engineering
- Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
- Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
- Review AI-generated code critically for correctness, security, performance, and maintainability
Team and Delivery
- Write unit, integration, and E2E tests, using AI to speed them up rather than skip them
- Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
- Document APIs, decisions, and runbooks clearly
Must-Have (Non-Negotiable)
Frontend
- Strong JavaScript (ES6+) and TypeScript
- React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
- HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics
Backend
- Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
- Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
- API design: REST principles, pagination, versioning, error handling, input validation
- Authentication and authorization (JWT, OAuth2, sessions, RBAC)
Engineering Fundamentals
- Git, PR workflows, and code review habits
- Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
- Basic security awareness (OWASP top 10, secrets management, input sanitization)
AI-Assisted Development
- Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
- Ability to write clear prompts, give useful context, and break big tasks into steps an AI can handle
- Habit of reviewing, testing, and understanding AI output before committing it
- Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary
Nice to Have
- Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
- Monorepo tooling (Turborepo, pnpm workspaces, Nx)
- Design system or component library work (shadcn/ui, Radix, Storybook)
- tRPC, GraphQL, or OpenAPI-driven type-safe clients
- Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
- Open-source contributions, a side project, or shipped AI features you can demo
What We Expect From You
- Ownership: take a feature from schema to UI to production, and flag risks early
- Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
- Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
- Systems thinking: consider scale, failure modes, and cost, not just the happy path
- Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
- Clear communication: PRs, docs, and async updates that others can follow
If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two
About Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
About Byldd:
Byldd is a Startup Studio that helps founders launch and scale software companies. We work closely with founders to refine ideas, identify core pain points, build scalable software products, acquire initial customers, and support growth.
At Byldd, engineers get the opportunity to work on diverse and challenging projects across industries like fintech, healthcare, AI, operations, and enterprise software. Since we work with multiple startups at different stages, the problems are rarely repetitive — one week you may be building an AI-assisted workflow tool, and the next you may be architecting a scalable SaaS platform.
Our engineering culture is strongly focused on ownership, fast execution, and leveraging modern development workflows — including AI-assisted development using tools like Claude Code, Cursor, ChatGPT, GitHub Copilot, and other AI tooling to improve speed, quality, and problem-solving.
We primarily work with technologies such as React/Next.js, Node.js, TypeScript, MongoDB, and modern cloud infrastructure.
About the role:
We’re looking for experienced Full-Stack Engineers with a strong backend inclination to join us on core business projects.
Your role will involve understanding business requirements, product flows, and mockups. We’ll provide the “what” and the “why” behind the product decisions, and you’ll take ownership of translating them into scalable technical solutions.
While this is a full-stack role, the expectation is backend-heavy ownership — including system design, APIs, database architecture, integrations, scalability, and performance optimization. You’ll collaborate with founders and senior engineers to architect and build products end-to-end.
Since we move fast, we highly value engineers who can independently figure things out, use AI effectively in their workflows, and ship high-quality products with speed.
This role is ideal for someone who enjoys combining strong backend engineering fundamentals with modern AI-assisted development practices.
What You’ll Do
- Build and ship scalable full-stack applications from scratch
- Design and develop robust backend systems, APIs, and database architectures
- Work closely with founders, designers, and product teams
- Architect systems with scalability, maintainability, and performance in mind
- Use AI-assisted development tools (Claude Code, Cursor, ChatGPT, Copilot, etc.) to improve development speed and productivity
- Review, debug, and optimize production systems
- Think through edge cases, reliability, and long-term scalability
Who you are:
- You have 2+ years of non-internship experience as a full-stack developer with strong backend expertise
- You enjoy building products from 0 → 1
- You think beyond tasks and understand business objectives
- You are comfortable taking ownership and contribute towards making technical decisions
- You actively use or are excited to use AI tools in your engineering workflow
- You are strong in problem-solving and figuring things out independently
- You care deeply about writing clean, maintainable, scalable code
- You enjoy working in fast-paced startup environments
- You’re comfortable contributing across the stack while being particularly strong on the backend side
Preferred Tech Stack
(Experience in some or most of the following is preferred)
- Node.js
- TypeScript
- MongoDB
- Express.js
- React / Next.js
- REST APIs
- Cloud deployment & modern dev tooling
Experience with AI-assisted coding tools and workflows is a strong plus.
Location: Remote
About the Role
We are looking for an ambitious Software Engineering Intern to join our engineering team. You will write production-ready code, collaborate directly with senior engineers, and build features used by real users from day one. High performers will be considered for a full-time Pre-Placement Offer (PPO) at the end of the internship.
Key Responsibilities
- Build and maintain clean, scalable frontend or backend features under senior mentorship.
- Write modular, testable code and assist in unit testing and bug fixing.
- Collaborate with product managers, designers, and peers in an agile, fast-paced environment.
- Participate in code reviews, tech discussions, and sprint planning.
What We Are Looking For
- Strong grasp of data structures, algorithms, and core object-oriented/functional programming principles.
- Hands-on experience with at least one programming language (e.g., JavaScript/TypeScript, Python, Java, or Go) through personal projects, coursework, or open-source contributions.
- Working knowledge of REST APIs and relational or NoSQL databases (e.g., PostgreSQL, MongoDB).
- Basic familiarity with Git and version control workflows.
- Strong problem-solving mindset, fast learning ability, and genuine curiosity about software engineering.
About the role
You'll work on cloud software that helps technical teams collaborate and move faster: an established, in-production product that real customers rely on every day. You'll work directly with leadership who built products at Meta and Apple, on a team where you own meaningful work and your decisions have direct impact.
Location: On-site, Financial District, Hyderabad
What you'll do
- Lead the engineering team day to day, owning delivery and technical direction
- Architect projects end to end and make the high-leverage technical decisions across the stack, in ReactJS, NodeJS, and AWS
- Set up the engineering processes, standards, and rituals that let the team ship fast without breaking things
- Mentor and grow engineers, raising the bar across the team
- Break complex, ambiguous problems into clear plans and drive them to done
- Make deliberate tradeoffs between creating tech debt and delivering business requirements
What we're looking for
- 8+ years of full stack engineering experience (strong senior engineers ready to step into a lead role are welcome)
- Deep, hands-on command of ReactJS, NodeJS, and AWS
- A track record of technical leadership: architecting systems, mentoring engineers, and setting up engineering processes
- Strong fundamentals in data structures and algorithms
- Excellent communication and the ability to thrive in a fast-paced, collaborative environment
- Bonus if you know: TypeScript, SQL, ExpressJS
Who you are
- You have serious work ethic. You get a high from checking things off and seeing results.
- You're curious, resourceful, and self-learning.
- You take ownership and bring the hustle.
- You lead by example and bring momentum to everything and everyone you work with.
📌Important: To complete your application for this role, please fill out this short screening form: [https://app.botfriday.ai/#/open/external-job-application/792cccfa-c046-4092-b20d-814705d5314f].
Only candidates who complete this step will be considered for further rounds."














