Node js Developer

🚀 We’re Hiring: Node.js Developer (5+ Years Experience) | Walk-In Interview | Gurugram

Are you a passionate Node.js Developer looking for your next big opportunity? Join a fast-growing team where your expertise will directly impact scalable and high-performance applications.

Location: Gurugram

Experience Required: 5+ Years

Interview Mode: Walk-In Interview

Employment Type: Full-Time

Key Responsibilities:

• Develop and maintain scalable backend applications using Node.js

• Design and implement RESTful APIs and microservices

• Work with databases such as MongoDB, MySQL, or PostgreSQL

• Collaborate with frontend developers, product managers, and stakeholders

• Optimize applications for maximum speed, scalability, and security

• Troubleshoot, debug, and enhance existing systems

Required Skills:

• Strong hands-on experience with Node.js and Express.js

• Experience with REST APIs and microservices architecture

• Knowledge of MongoDB or other relational/non-relational databases

• Understanding of asynchronous programming and event-driven architecture

• Familiarity with Git and version control

• Experience with cloud platforms (AWS/Azure/GCP) is a plus

Eligibility:

• Minimum 5 years of relevant Node.js development experience

• Strong problem-solving and debugging skills

• Immediate joiners or short notice candidates preferred

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.

• Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
•  Experience in the development of scalable and extensible systems using Java
•  Proficiency in Database technology such as MySQL, Oracle, and MongoDB
• Routines Sync & Async
• Solid and fluent understanding of algorithms and data structures
• Excellent software design, problem-solving and debugging skills
• Demonstrated high ownership in previous projects
• Excellent Communication Skills"

The key aspects of this role include:

• Design, build, and maintain scalable applications using Python.

• Contribute to the entire implementation process including driving the definition of improvements based on business need and architectural improvements.

• Act as a subject matter expert for Application Software developers and Engineers.

• Handle server-side code for a production platform and contribute to new features

To be the right fit, you'll need:

• More than 4+ years of experience as a software developer in Python, with knowledge of at least one Python web framework such as Django, Flask, etc.

• Good understanding of common design patterns and architecture principles to design reliable and Scalable applications

• Strong communication skills

• Knowledge of databases line NoSQL or MongoDB

• Good to have AWS and Docker or Web services

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS

Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.

Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.

To know more visit https://elocitytech.com/

Responsibilities:

• Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.
• Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.
• Create low-level design of modules of a software application through proper documentation and
• diagrams.
• Develops software solutions by studying requirements, clarifying customer/user needs, analysing data
• and processes and following established software development practices and processes.
• Develops proof of concepts for technical evaluation and early customer feedback
• Updates and shares knowledge by studying state-of-the-art development tools, programming
• techniques, and computing technology; reading professional publications
• Networks with internal and external personnel in own area of expertise.
• Skills:
• Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.
• Experience in Debugging/troubleshooting TypeScript code.
• Experience in API development (REST/GraphQL etc)
• Experience in development of Web and Mobile(android/iOS) applications
• Exposure of Parallel and Asynchronous programming
• Experience in writing Unit tests (Jest or any similar framework)
• Should be proficient in relational Database concepts (Postgres etc.)
• Knowledge of Non-relational Databases would be a plus.
• Good Understanding of Object-Oriented Programming Concepts.
• Good Understanding of Design Patterns.
• Good command of Data structures, Algorithms and Complexity.
• Good at problem solving and analytical skills.
• Experience with Source Code Versioning systems (Git etc)
• Understanding of Micro services Architecture would be a plus 

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis.

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyze medical images and create 2.0 of advanced radiologist reporting.

We are backed by YCombinator and other marquee investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

Join us, if you find this as exciting as we do!

Description:

Synapsica is looking for a Node.js/Python developer who is passionate about designing and implementing scalable solutions with highest quality. You will be responsible for creating high performance, responsive, and secure server-side programs to manage Synapsica platform. You will be responsible for designing, managing and supporting cloud platform and scaling our database. This role is ideal for you if you have a background in bakcned development and are looking for the next level of career growth in a fast paced, learning based and merit driven work environment.

Responsibilities:
- Design and development of our new platform modules from scratch. 
- Hands on implementation of our APIs and integrations. 
- Design, scaling and integration of new/existing databases.
- Ensuring the entire stack is designed and built for speed and scalability
- Design and construction of our REST APIs with best secutiry mechanisms.
- Design and implementation of continuous integration and deployment pipelines in tandem with the respective team members.
- Performance tuning and improvements in large scale systems.
- Ensuring responsiveness and cross-platform compatibility of applications.
- Owning and delivering end-to-end products, features, enhancements.

Requirements:
- Degree in Computer Science or related discipline with strong competencies in data structures, algorithms, and software design
- At least 4+ years of experience with writing Python/NodeJS/PHP/Ruby on Rails. 
- Prior experience of database design and management in MongoDB, including being up on the latest practices and associated versions.
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data.
- Familiarity with AWS (or equivalent) ecosystem with end-to-end cloud deployment.
- Experience implementing code level unit tests.
- Proficiency with Git / Version control.
- Appreciation for clean and well documented code
- Excellent verbal communication skills.
- Good problem solving skills.
- Attention to detail.
- Very high sense of ownership.
- Deep interest and passion for technology

Software Engineer 

About Brew:-

We believe that the future of banking will be built on top of Cryptocurrencies and DeFi Protocols. However, in its current form, DeFi is too expensive and complex for a common person to participate in. We want to change that with Brew. 

Underneath the hood, Brew is a Wallet that makes it super simple to make deposits and take out loans on DeFi and do peer-to-peer and merchant transactions without having to worry about gas fees or navigating multiple chains and tokens. 

The founders come from a strong background in technology and product. We’re backed by some of the best investors in the startup and crypto ecosystem. We’re based out of Bangalore, India but are open to the remote too. 

Role:-

We seek engineers who are passionate about building great products and have the conviction that Crypto is going to change the world for the better. 

You may be fit for this role if you 

• Love Programming and are able to write high-quality code.
• Have between 1-3 years of experience.
• Are curious and have a willingness to learn. 
• Maintain a high degree of ownership and accountability.
• Are proficient in OOPs, Data Structures, and Algorithms. 
• Familiarity with Solidity, Node.js, React Native and C++ is a plus. 
  
  

As part of being the founding team, you will play a crucial role in shaping and building the product. In recognition of that, there will be a meaningful equity component in the compensation.

We look forward to talking to you.

5 years of architecture, design and programming experience preferably in fast-paced dynamic environment

Strong application design and implementation skills, solid understanding of the entire development cycle.

Strong background in Java/J2EE based application

Strong background in Spring/Spring boot based application

Strong background in Microservices based application

Experience working with Apache and/or Tomcat

Experience in transforming requirements to software design

Strong Experience with developing Java SAAS web applications.

Working experience in Industry Standard protocols related API Security including OAuth

Demonstrate strong design and programming skills using JSON, Web Services, XML, XSLT, PL/SQL in Unix and Windows environments.

Strong background working with Linux/UNIX environments.

Strong Shell scripting experience.

Working knowledge with Oracle, DB2 or MongoDB databases.

 Passion to stay on top of the latest happenings in the tech world and an attitude to discuss and bring those into play.  Strong agile/scrum development experience

 Strong collaboration and communication skills within distributed project teams

 Excellent written and verbal communication skills