Senior Product Consultant

Adept Labz is hiring Senior Product Consultant job in Chennai | Cutshort

Senior Product Consultant
Senior Product Consultant

2
\- 3 yrs
₹10L - ₹15L / yr
Chennai
Skills
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
Javascript
Java
J2EE
Spring Boot
Hibernate (Java)
dbms
Systems design
MongoDB
Fullstack Developer
Are you interested to work at a place where you are given the opportunity to grow and level up your skills?
Are you looking to build products that are impactful?
Do you want to work with an energetic team, like-minded and passionate programmers?
Do you like to create impactful and scalable products?
What we Look for
– Bring in a "can-do" attitude
– Passion towards technology and software engineering - open source, pet projects, conference talks, getting better at writing clean code
– Participate in a highly fluid environment applying agile software development principles
– Carry out unit tests and other quality control mechanisms to inform and validate the designs and code
– Work with product owner/BAs  to bring an end to end perspective of the problem
– Ability to ask the right questions and communicate your ideas with clarity
– Ability to collaborate with various stakeholders and take complete ownership
– Participate actively in building one of the most impactful organizations in retail technology
As a Software Engineer …..
– Quickly adapt to our startup environment which is both demanding _and_ fast-paced (but is also a lot of fun)
– Eager to learn new concepts, and technologies and be productive in short time
– Convert a raw idea into usable real-life software products
– Write modular, readable and maintainable code
– Good understanding and working knowledge of technologies worked
– Demonstrate good problem solving skills
– Own and be able to manage a small to medium sized modules
– Demonstrate ability to guide and coach a new team member or fresher
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Companies hiring on Cutshort

Founded
:
2015
Type
:
Products & Services
Size
:
20-100
Stage
:
Profitable
About
Adept Labz () is a startup with a mission to build one of the strongest technology brands. We are made of some of the strongest developers/tech geeks and deliver quality custom software products for our customers. Our focus is on Mobile/IoT, cutting-edge technology stacks, Big Data, Machine Learning, and DevOps. We love working with ambitious startups/product companies that are trying to disrupt the market since it matches the way we work and the type of people that we are.
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HR Fountane
Remote only
5
\- 8 yrs
₹20L - ₹30L / yr
React.js
NodeJS (Node.js)
MongoDB
Generative AI (GenAI)
Retrieval Augmented Generation (RAG)
+3 more
Fountane Archipelago  ·  Island Role
A Little Bit About the Role
We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.
The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.
You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.
You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.
All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.
AI-First Engineering Expectation
_Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level._
At L3, AI-assisted engineering means:
– Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
– Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
– Using Cursor to generate tests that document existing behaviour before any restructuring begins.
– Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
– Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
– Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.
Key Responsibilities
Legacy Codebase Refactoring & the Cleaning Phase
This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.
Full Stack Development — Web & Mobile
Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.
Third-Party API Integrations
Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.
CE Collaboration & Sprint Integrity
Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.
Security Awareness
Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.
Production Incident Response
When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.
Codebase Navigation & Safe Refactoring
On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.
Code Review
Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.
Mentoring
Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.
Documentation
Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as p