
If you are a technology enthusiast, we have the perfect job for you! We are looking for Node.Js Developers to join our agile team of professionals.
Responsibilities:
- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
Requirements:
- Bachelor's degree in computer science, information science, or similar.
- At least two years' experience as a Node.js developer.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
- Knowledge of front-end technologies such as HTML5 and CSS3.
- Superb interpersonal, communication, and collaboration skills.
- Exceptional analytical and problem-solving aptitude.
- Great organizational and time management skills.
- Availability to resolve urgent web application issues outside of business hours.

Similar jobs
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.
Job brief
We are looking for a qualified Database developer to design stable and reliable databases, according to our company’s needs. You will be responsible for developing, testing, improving and maintaining new and existing databases to help users retrieve data effectively.
As part of our IT team, you will work closely with developers to ensure system consistency. You will also collaborate with administrators and clients to provide technical support and identify new requirements. Communication and organization skills are keys for this position, along with a problem-solution attitude.
Ultimately, you should be able to ensure our database systems run effectively and securely on a daily basis.
Responsibilities
- Design stable, reliable and effective databases
- Optimize and maintain legacy systems
- Modify databases according to requests and perform tests
- Solve database usage issues and malfunctions
- Liaise with developers to improve applications and establish best practices
- Gather user requirements and identify new features
- Develop technical and training manuals
- Provide data management support to users
- Ensure all database programs meet company and performance requirements
- Research and suggest new database products, services and protocols
Requirements
- Proven work experience as a Database developer (5+ Years)
- In-depth understanding of data management (e.g. permissions, recovery, security and monitoring)
- Knowledge of software development and user interface web applications
- Advanced proficiency and hands on experience with T-SQL, Stored Procedures, Cursors, Triggers, Schedulers etc.
- Familiarity working with MS SQL Server, MySQL, .Net Framework, java
- Excellent analytical and organization skills
- An ability to understand front-end users’ requirements and a problem-solving attitude
- Ability to craft detailed technical manuals.
- Excellent verbal and written communication skills
- BE/MCA/MSc Degree in Computer Science or relevant field.
Tasks:
· You will take part in the design of the architecture and the development of modern software-based applications in the back-end (Node.JS, TypeScript, Nest.JS)
· You support the technological conception, programming and implementation of new features
· You help manage IoT-to-Cloud services, Microservices, Kubernetes and Docker on GCP
Requirements:
· Bachelor or Master student in an IT-related field of study
· Ability to holistically conceive applications in multiple technologies in the backend
· Experience in agile software development with JavaScript, TypeScript, Node.JS and ideally Nest.JS
· First experiences in Cloud (AWS/Azure/GCP) and Docker
·
Nice to Have:
· Experience with GraphQL, Microservices, Kubernetes
· Understanding of IoT device management and message brokers like AMQP or MQTT
Benefits:
· A responsible position in a fast-growing and highly innovative start-up
· An agile and diverse team with colleagues from all over the world
· English speaking open work environment, with flat hierarchies and short decision-making paths
· Advanced technology stack leveraging cutting-edge IoT hardware and software
· Creative freedom for own ideas, projects and personal development
· Team building, learning and start-up events
Job Title: Senior Node.js Developer
Company: P99soft
Locations: Bangalore, Pune, Hyderabad
Experience: 5+ years
Job Type: Full-time
About P99soft:
P99soft is a dynamic and innovative software development company dedicated to creating cutting-edge solutions for our clients. We take pride in fostering a collaborative and forward-thinking environment. As we continue to grow, we are seeking an experienced Senior Node.js Developer to join our team.
Responsibilities:
As a Senior Node.js Developer at P99soft, you will be a key contributor to our development team. Your responsibilities will include:
Backend Development: Lead the development of robust and scalable backend solutions using Node.js.
Architecture and Design: Make critical decisions regarding the architecture and design of Node.js applications, ensuring high performance and maintainability.
API Development: Design and implement RESTful APIs to support various front-end functionalities.
Database Integration: Collaborate with database administrators and integrate databases into Node.js applications.
Code Review: Participate in code reviews to maintain code quality and provide constructive feedback to team members.
Mentorship: Provide guidance and mentorship to junior developers, contributing to the growth and skill development of the team.
Requirements:
To be successful in this role, you should have:
4+ years of Node.js Development Experience: Proven experience in developing backend solutions using Node.js.
JavaScript Mastery: Strong command of JavaScript and its asynchronous nature.
Recommended Experience: Proficiency in Node.js, Typescript, React, and MongoDB.
Additional Skills (Plus):
Experience in Next.js, NestJS, Fastify, React Native, Golang, Docker, Kubernetes, or AWS.
Customer Interaction (Plus): Experience working directly with customers is a plus.
Additional Experience (Plus):
- API development or database design experience.
- Communication Skills: Excellent communication skills, both written and verbal, to collaborate effectively with team members and clients.
Roles and Responsibilities:
1.Build high-performance applications by writing testable, reusable, and efficient code.
2. Strong knowledge in Nodejs, Javascript & Typescript
3.Develop and maintain all server-side components.
4.Develop high-performance and scalable APIs to serve clients.
5.Collaborate with front-end developers on the integration of well written APIs.
6.Implement effective security protocols, data protection measures, and storage solutions.
7.Investigate issues by reviewing/debugging code, provide fixes and workarounds, and review changes for operability to maintain existing software solutions.
8.Develop and manage well-functioning databases and applications
9.Run diagnostic tests, repairing defects, and provide technical support.
10.Be our NodeJS champion by keeping an eye out for emerging technologies and recommending improvements.
11. You will work within a team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, and work with cross functional teams to achieve goals.
12. Design back end services for various business processes
13. You will assume technical accountability for your specific work products within an application and provide technical support during solution design for new requirements.
14. Design server side architecture
Sr. Software Developer
Job Description:
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Coordinate cross-functionally to insure project meets business objectives and compliance standards
- Responsible for regular enhancement of Algorithm
- Develop and support software architecture
- Responsible for DevOps planning
- Support test and deployment of new products and features
- Participate in code reviews
Skills Required:
- Excellent programming skills and knowledge of complete development process.
- Should have knowledge in PHP, CI, Node.JS, MySQL, MongoDB and Modern JavaScript.
- Knowledge of TDD tools
Qualification:
BE/B.Tech/MCA/Mtech/M.E/PHD

Preferred Skills:
We want to really emphasize Spring Boot (2+ years although 1+ if candidate particularly strong) Using Redis as a caching technology with Spring Boot would be a strong plus
Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus
Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel
Strong Knowledge of Spring Boot Dependency Injection and Configuration
Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.)
SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps)
Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc)
Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot
Experience in the development of Workflow or Business Process ApplicationsNice to Have:
Experience with Cassandra or MongoDB with Spring Boot
Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances)
Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)
Search technologies such as Lucene/Solr• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions and Database structure
• Experience integration of data storage solutions like MongoDB and NoSQL cloud data store.









