Node JS Developer

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.

Role: Backend Developer (Node.js)

Key Responsibilities

Backend Development

• Build scalable, high-performance backend services and REST APIs using Node.js.
• Develop robust, maintainable, and production-ready applications.

Database Optimization

• Design efficient database schemas.
• Optimize queries, indexing, and overall database performance.
• Work extensively with PostgreSQL or MySQL.

Frontend Collaboration

• Collaborate closely with frontend engineers to integrate APIs.
• Basic understanding of React or Angular is a plus.

System Design

• Participate in both Low-Level Design (LLD) and High-Level Design (HLD) discussions.
• Design systems with scalability, security, and reliability in mind.

Cloud & Infrastructure

• Deploy and manage applications on AWS.
• Utilize Redis for caching and performance optimization.

Code Quality

• Write clean, maintainable, and well-documented code.
• Participate in code reviews and follow engineering best practices.

Testing & Debugging

• Write comprehensive test cases.
• Ensure backward compatibility.
• Debug and resolve issues related to functionality, performance, and scalability.

Required Skills & Experience

Must Have

• 2+ years of backend development experience.
• Strong proficiency in Node.js.
• Experience with PostgreSQL or MySQL.
• Good understanding of REST APIs.
• Experience with AWS cloud services.
• Knowledge of distributed systems and microservices architecture.
• Experience with Redis or similar caching technologies.
• Strong understanding of system design concepts.
• Excellent debugging and problem-solving skills.
• Focus on writing scalable, reliable, and testable code.

Good to Have

• Basic knowledge of React or Angular.
• Experience working in fast-paced startup environments.

Why Join Vahan?

• Unlimited Paid Time Off (PTO)
• Comprehensive Medical Insurance
• Monthly Wellness Leaves
• Competitive Compensation
• Opportunity to work on products impacting millions of users
• Fast-paced, high-growth startup backed by leading investors
• Ownership-driven engineering culture with meaningful technical challenges

BACKEND DEVELOPER JOB DESCRIPTION

Job Title: Backend Developer - Node.js & MongoDB

Location: Hyderabad

Employment Type: Full-Time

Experience Required: 3–5 Years

About Us

Inncircles – THE INNGINEERING COMPANY

We are a forward-thinking construction-tech innovator building CRM solutions that manage crores of records with precision and speed. Our mission is to revolutionize the construction domain through scalable engineering and robust backend systems. Join us to solve complex challenges and shape the future of data-driven construction tech!

Job Description

We are hiring a Backend Developer with 3–5 years of hands-on experience in Node.js and MongoDB to design, optimize, and maintain high-performance backend systems. You will work on large-scale data processing, external integrations, and scalable architectures while ensuring best coding practices and efficient database design.

Key Responsibilities

Backend Development & Optimization

1. Develop and maintain RESTful/GraphQL APIs using Node.js, adhering to best coding practices and reusable code structures.
2. Write optimized MongoDB queries for collections with crores of records, ensuring efficient data retrieval and storage.
3. Design MongoDB collections, implement indexing strategies, and optimize replica sets for performance and reliability.
4. Scalability & Performance
5. Implement horizontal and vertical scaling strategies to handle growing data and traffic.
6. Optimize database performance through indexing, aggregation pipelines, and query tuning.
7. External Integrations & Debugging
8. Integrate third-party APIs (payment gateways, analytics tools, etc.) and SDKs seamlessly into backend systems.
9. Debug and resolve complex issues in production environments with a systematic, data-driven approach.

AWS & Cloud Services

Work with AWS services like Lambda (serverless), SQS (message queuing), S3 (storage), and EC2 (compute) to build resilient and scalable solutions.

Collaboration & Best Practices

Collaborate with frontend teams to ensure smooth API integrations and data flow.

Document code, write unit/integration tests, and enforce coding standards.

Mandatory Requirements

3–5 years of professional experience in Node.js and MongoDB.

Expertise in:

1. MongoDB: Collection design, indexing, aggregation pipelines, replica sets, and sharding.
2. Node.js: Asynchronous programming, middleware, and API development (Express.js/Fastify).
3. Query Optimization: Writing efficient queries for large datasets (crores of records).
4. Strong debugging skills and experience in resolving production issues.
5. Hands-on experience with external integrations (APIs, SDKs, webhooks).
6. Knowledge of horizontal/vertical scaling techniques and performance tuning.
7. Familiarity with AWS services (Lambda, SQS, S3, EC2).

Preferred Skills

1. Experience with microservices architecture.
2. Knowledge of CI/CD pipelines (GitLab CI, Jenkins).
3. Understanding of Docker, Kubernetes, or serverless frameworks.
4. Exposure to monitoring tools like Prometheus, Grafana, or New Relic.

Why Join Inncircles?

Solve large-scale data challenges in the construction domain.

Work on cutting-edge cloud-native backend systems.

Competitive salary, flexible work culture, and growth opportunities.

Apply Now:

If you’re passionate about building scalable backend systems and thrive in a data-heavy environment, share your resume and a GitHub/portfolio link showcasing projects with Node.js, MongoDB, and AWS integrations.

Inncircles – THE INNGINEERING COMPANY

📍 Hyderabad | 🚀 Building Tomorrow’s Tech Today

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

1. At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
2. Excellent hands-on experience using MySQL or any other SQL Database.
3. Good knowledge of MongoDB or any other NoSQL Database.
4. Good knowledge of Redis, its data types, and their use cases.
5. Experience with graph-based databases like GraphQL and Neo4j.
6. Experience developing and deploying REST APIs.
7. Good knowledge of Unit Testing and available Test Frameworks.
8. Good understanding of advanced JS libraries and frameworks.
9. Experience with Web sockets, Service Workers, and Web Push Notifications.
10. Familiar with NodeJS profiling tools.
11. Proficient understanding of code versioning tools such as Git.
12. Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
13. Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
14. Experience building a large scale social or location-based app.

Job description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Responsibilities:

Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code with proper documentation

Design and implementation of low-latency, high-availability, and performance applications

Implementation of security and data protection

Integration of data storage solutions

Continually keep yourself and your design team updated with the latest changes in your industry’s standards

Requirements

1+ years Experience

Strong proficiency with JavaScript

Knowledge of Node.js, Express.js and other frameworks required to create a scalable and effective application

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of basics of SQL and/or NoSQL databases

Very strong understanding of working with at least one SQL or NoSQL database in node js(Without ORM preferably)

Understanding of commonly used node modules

Good understanding of server-side templating languages

Good understanding of server-side CSS pre-processors such as SASS, LESS, etc.

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments using OpenID, OAuth2.0, etc.

Creating secure and scalable APIs using standards like REST API, GraphQL, etc.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimising output to match the specific platform

Creating database schemes that represent and support business processes

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as GIT Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills.

Responsibilities :

- Design and develop highly scalable, highly available, reliable, secure and fault-tolerant systems with minimal guidance for one of the fastest-growing company in India

- Translate business requirements into scalable and extensible design

- Pair with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team

- Partner with the product management team to define and execute the feature roadmap

- Coordinate with cross-functional teams (Mobile, UX etc.) on planning and execution

- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies

- The building of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

Experience and Skills :

- 2+ years of hands-on experience in designing, developing, testing and deploying applications on Node.JS for large scale applications.

- Strong proficiency with JavaScript

- Understanding of Asynchronous Request handling techniques.

- Deep knowledge of Linux : CentOS, Fedora, or Ubuntu

- Data modeling experience in Relational and NoSQL databases(MONGO DB)

- Ability to understand and implement Continuous Integration and Continuous Delivery

- Well versed with Agile methodologies, TDD and Test Engineering and Automation

- Ability to design and implement low latency RESTful services

- Experience troubleshooting server performance - memory issues, GC tuning, resource leaks, etc.

- Excellent understanding of interactive application development paradigm, memory management, performance/resource optimizations, database interactions, network programming, concurrency and multithreading, fault tolerance, monitoring, security and operability of systems

- Continuously refactor applications to ensure high-quality design

- Ability to plan, prioritize, estimate and execute releases with a good degree of predictability

• Design and develop cloud native enterprise applications 
• Define and establish conventions, standards and best practices for the SDLC process and ensure that quality control is of paramount importance at each step of the development life cycle
• Develop reusable frameworks and libraries that can drastically accelerate new application development in the future
• Participate in the requirement analysis and gathering process and also perform sit-withs with business teams to ensure there is full clarity of the problem statement
• Actively engage wih infrastructure team and take ownership of DevOps processes to ensure that build and deployment processes are efficient and optimal.
• Actively engage with project stakeholders to ensure all are in sync with the progress, risks and issues
• Quickly learn and adopt cutting edge technologies to help keep the org ahead of the curve