Node.js Engineer

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.

Urgently Hiring Node.js Backend Developer for our IT company Logical Softtech, Indore(M.P)

Job Location : Indore ( work from Office)

Experience needed : minimum 6 months needed

******

1) Node.js Backend Developer must have expertise in developing database with mongo db, backend, admin panel , web services, rest api, crude operation.

2) Must have expertise in cloud hosting, maintaining all server-side network components, command prompt.

3) Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

4) Can work individually or in a team , immediate joiner

5) Any other MERN / MEAN /PHP framework knowledge will be added plus

*****

Technology: node js, DynamoDB / Mongo DB

Roles:

• Design & implement Backend Services.
• Able to redesign the architecture.
• Designing & implementation of application in MVC & Microservice.
• 9+ years of experience developing service-based applications using Node.js.
• Expert-level skills in developing web applications using JavaScript, CSS and HTML5.
• Experience working on teams that practice BDD (Business Driven Development).
• Understanding of micro-service architecture and RESTful API integration patterns.
• Experience using Node.js for automation and leveraging NPM for package management
• Solid Object-Oriented design experience, and creating and leveraging design patterns.
• Experience working in a DevOps/Continuous Delivery environment and associated toolsets (i.e. Jenkins, Puppet etc.)
  
  
  

Desired/Preferred Qualifications:

1. Bachelor's degree or equivalent experience
2. Strong problem solving and conceptual thinking abilities
3. Desire to work in a collaborative, fast-paced, start-up like environment
4. Experience leveraging node.js frameworks such as Express.
5. Experience with distributed source control management, i.e. Git

You’ll be our: Application Developer 

You’ll be based at: IBC Knowledge Park, Bengaluru

You’ll be Aligned with: Application Development Lead 

You’ll be the member of:VehicleSoftware Team 

What you’ll do at Ather:

• You will be developing the various Applications for the cloud to process data connecting with the vehicle 

• You shall work with the Lead and product team to define and deliver features. 

• Be part of the Agile team, to define Sprint work content definition. 

• Work with cross functional teams to drive overall feature delivery. 

• Be part of the initiatives that achieve the functional requirements of the team. Explore technical feasibility of solutions, propose and evaluate tech stacks. 

• Performance tuning and benchmarking of the features 

Here’s what we are looking for: 

• Strong knowledge and Hands on experience with Nodejs, RestAPI, Java Script, Java Development experience in cloud based infrastructure 

• Strong fundamentals in any fullstack of your choice, OOPS concepts, Google Cloud Platform. Knowledge of Java, React, React Native, Android Native , HTML5, Firebase and Go Programming is a plus. 

• Knowledge on CI/CD pipelines, JIRA, UML, Static Code Analysis tools and Unit test framework is required 

• Knowledge on the S/W communication protocols like gRPC, HTTP, MQTT is a plus Cross platform development experience would be needed. 

• Knowledge of Cloud Based solutions would be a plus. 

• App development for a product which is beyond a mobile platform would be a plus. Experience with Telematics/Infotainment projects would be a great advantage. 

• Strong experience with Agile methodology, along with tools such as JIRA, Confluence. 

• Flashing and debugging tools experience is a plus.

You bring to Ather: 

• Bachelor’s/Master’s in computer science or any other equivalent degree

We are looking for a Senior Back-end Node.js Developer who is passionate about design, architecture, and programming. Responsibilities include implementing business logic and developing APIs and services. Your primary focus will be development of all server-side logic, definition, and maintenance of databases, and ensuring high performance and responsiveness to requests from the front-end. If you are also passionate about Node.js and software design/architecture, we’d like to meet you.

• 2+ years working in back-end web development with Node.js
• 4+ years working with Javascript
• Experience with server-side templating languages
• Experience with Express.js
• Experience consuming and building robust RESTful APIs
• Experience with Relational Databases like MongoDB, MySQL
• Solid understanding and extensive experience with version control tools like Git
• Exceptional problem solving and ability to work independently
• Exceptional learning skills
• Fluency in both oral and written English
• Understanding of Agile methodologies

• Strong proficiency in MySQL database administration, migrations /up-gradation, patching, cloning, capacity planning, designing, and automation of database tasks.
• Good experience with the latest versions of the database
• In-depth experience configuring database replication on multiple versions
• Strong experience in Monitoring, DB Performance Tuning, DB Availability, DR, Security, Storage
• Analyzes and provides recommendations to optimize the database for improved performance, manageability, and scalability
• Expertise in enterprise backups, recovery, and performing point-in-time recovery Experience in deploying and integrating PM tools
• Experience in data partitioning and encryption
• Knowledge of de-facto standards and best practices in MySQL and MongoDB
• Proficient in writing and optimizing SQL statements and Knowledge of MySQL features, such as its event scheduler
• Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
• Proficient understanding of code versioning tools such as Git / Mercurial / SVN