MERN Stack Developer (Permanent WFH)

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Strong MERN stack developer profile

Mandatory (Experience 1) - Must have 3+ years of experience in softtware developement using MERN stack

Mandatory (Experience 2) - Must have 2+ experience using MongoDB including data modeling, indexing, query optimization, and performance tuning.

Mandatory (Tech Skills 1): Must have experience in designing and developing REST APIs using Node.js and Express.js.

Mandatory (Tech Skills 2): Must have experience working with microservice-based backend architectures

Mandatory (Tech Skills 3): Must have experience integrating external APIs and internal services.

Mandatory (Tech Skills 4): Must ensure backend scalability, reliability, observability, and security best practices.

Mandatory (company) - Product company

• Minimum 3 years of experience in Node JS.
• Minimum 1 years of experience in Mongo DB (optional)
• Good Hands-on experience in Angular or React.
• Experience in designing and building large-scale, high availability, secure web applications and REST-full API using Node.js in an agile methodology.
• Good Hands-on experience in Node Js frameworks like Express, .
• Strong proficiency with JavaScript and Node.JS
• Knowledge and understanding of Event Loop architecture.
• Knowledge and understanding of promises and (async or await)
• Implementation of security like oauth 2.0, JWT and data protection.
• Good Hands-on experience on cache server.
• Knowledge and understanding of Request, Axios, proficiency in REST-ful APIs.
• Knowledge of data structures and Algorithms, Node Global variables and In-built libraries
• Understanding the nature of asynchronous programming and its quirks and Workarounds
• Design and implementation of low-latency, high-availability, and performant applications.

Required Candidate profile

We are looking for a Backend Developer who has hands-on experience in coding, building technology blocks, help answer choice of certain platform/tech over others, help the team visualise the product with the available resources and assets. 

What you’ll do:

• Design, develop, and test functionality for the latest app design.
• Support the entire application lifecycle (concept, design, test, release, and support).
• Collaborate with cross-functional teams to define, design, and develop new features.
• Take requirements and specs from design to development and be the first line of quality assurance.
• Understand user requirements—these apps have to meet real-world scenarios.
• Support the Supersub Mobile application in its entirety, including working on bug fixes and improving application performance, reliability and stability.
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency.

What you bring:

• 3+ years of experience in building Java, Node JS applications. 
• Experience in Building Robust REST APIs Using MEAN or MERN Stack. 
• Good programming skills, with the ability to Perform UI testing, Debugging Taking the ownership of the complete lifecycle of a product. 
• Solid experience with Unit Testing. 
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Experience with deploying the code in AWS or AZURE is a plus. 
• Ability to write clean code and document the same to develop functional APIs and Admin Panel. 

Proven work experience in building a product is a plus. And the candidate must have an Engineering CS background. 

Role: Javascript Developer [Backend Developer + Frontend]

Opening for MERN Stack Developer to lead scalable Development with competencies in: 

• Expert of NodeJS, Express & MongoDB, REST Apis
• Experience in Docker
• Exposure to React, Redis, will be preferred.

Industry: IT-Software / Software Services (SaaS)

Functional Area: Internet & Cloud Technologies

Role Category: Programming & Deployment

Role: Software Developer

Employment Type: Permanent Job, Full Time

Desired Experience: 2-4 years

Desired Qualifications: B.E. / B.Tech / M.Tech / MCA

Key-Skills:

Node.js  | Express  | REST Api   | Javascript  | Redux-Saga |   MongoDB | Web security TLS/SSL | Web Sockets |   Promises & Call-backs | Database & Data structures |   Redis | Elasticseach | React.Js

Key Deliverables: 

• New feature design and implementation, Bug fixing, testing and performance tuning.
• Work on the API and Engines.
• Code deployment on cloud & maintenance of the same.
• Take complete ownership of a product/feature from setup to deployment.
• Time-bound feature delivery & updating.
• Cost-saving using efficient & effective technologies

Role and Responsibilities: 

• Work on back-end (+ frontend integration) development of core scripts using NodeJS / MongoDB /Express /Redux, and Redis.
• Manage Key-value based databases like Redis.
• Active participation in the development of a sophisticated platform as one of the leading developers.
• Document code consistently throughout the development process by listing a description of the program, special instructions, and any changes made in database tables on procedural, modular and database level.
• Respond promptly and professionally to bug reports. 
• Knowledge of bluebird.js (Promises), Async, etc will be of advantage.
• Coding and programming using Object-Oriented Programming, Data Structure and Algorithms, architecture/ design and build RESTful API.
• Passionate about building products and features and build the product from scratch with thrust on Web security, TLS/SSL, web sockets, etc
• Knows one or more of Wireframes/ Prototyping/ Functional Documentation of business.