NodeJs Developer

Experience – 1-2 yrs

Qualification- MCA /B. Tech.

Job Nature - Permanent

Skills - PHP,Laravel, Codeigniter, MySQL, HTML5, CSS3, JavaScript with ES6, Ajax,Theme development & Plugin 

Working days - 5

Job location- Lucknow

 Responsibilities:

•        Developing and maintaining high-performing, scalable, and robust themes and plugins.
•        Implementing different aspects of coding standards for JavaScript, PHP, and WordPress.
•        Understanding the project requirements, preparing the flow, and planning the solution to accomplish the job optimally.
•        Designing and implementing new features and functionality.
•        Establishing and guiding the website’s architecture and custom requirements.
•        Ensure high performance and availability, and manage all technical aspects of the CMS.
•        Must be able to create themes and plugins from scratch by following WordPress theme and plugin development standards.
•        Strong understanding of Backend technologies, including PHP, OOP concepts, Ajax, and API integrations.
•        Strong understanding of front-end technologies, including HTML5, CSS3, JavaScript, and jQuery.
•        In-depth experience with WordPress terminologies like Post, Page, Category, Tags, Template hierarchy, etc.
•        Excellent problem-solving and learning skills.
•        Experience in working with WooCommerce and its add-ons, developing payment gateways, shipping, tax solutions, and REST API integrations.
•        Have a deep understanding of WordPress database structure, built-in queries, and security practices.
•        Comfortable working with debugging tools like Firebug, Chrome Inspector, etc.

Good to Have :

•        Experience working with WordPress Multisite development
•        Proficient understanding of code versioning tools such as Git, BitBucket, SVN, and Mercurial.
•        Have worked with 3rd party API integrations with WordPress via plugins and themes.
•        Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
•        Knowledge of WPRest API and WP-CLI
•        Package management tools like NPM and Composer

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.

  Overall 4+ years of experience

·  2 year development experience in NodeJs(v4 and above)

·  Knowledge in Unit testing frameworks like Mocha

·  Experience in working with any NodeJs web framework(Express or Hapi)

·  Development experience using any persistent store (NoSql or Relational)

Formal Deliverables

·  Design and development of new and enhance existing applications using Node.JS

·  Collaborate with internal and external team members to ensure projects get delivered as planned

·  Develop Backend services using HapiJs

·  Develop background workers based on cron or rabbitmq messages

·  Support existing and new features via bug fixes, prod support or monitoring scripts

·  Unit testing for all the developed modules

Following are the things that we are looking for in our NodeJS developer:

• Full SDLC knowledge, preferably in an agile environment.
• Strong written and verbal communication skills. Strong critical thinking & problem solving skills.
• Understanding of Unix / Linux based systems.
• Hands-on exposure to deeply linked relational databases – preferably in MySQL
• Ability to take a feature or product through the full Software Development Life Cycle.
• Strong communication skills, including the ability to both collaborate well and also the ability to convey technical ideas and concepts to non-technical stakeholders.
• Identify the interaction needs and how the API. must be developed based on design comps, product specs, etc.
• Continuously evaluate and implement new technologies to maximize development efficiency.
• Address and prioritize production level bugs and application performance improvements.
• An adaptable attitude and understanding of the agile methodology.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with cross-functional teams to define, design, and release new features.

We are looking for developers who are passionate about Python and know what are the benefits of python well.

Responsibilities:

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues, and avoid regressions
• Be proactive, take ownership, and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions, and code reviews

Technologies we’re hiring for:

• Developed HTTP based REST APIs and implemented Authentication, Caching
• Worked with relational and NoSQL databases and aware of concepts like ORM, Migrations
• Languages & Frameworks: Python Django/Flask
• Database: Postgres/ Mongo
• Must have worked in a Unix/Linux based environment
• Advanced middleware like RabbitMQ, Celery Beat is definitely a plus.

Minimum 3+ year hands-on experience in Python needed

Purpose

We are looking for Sr. Laravel Developer. The candidate must have Good level of proficiency in PHP, MySQL, object-oriented JavaScript, HTML5, CSS3, AJAX, XML, JSON required and Write clean PHP code in a timely and scalable way.

Key Responsibilities

• Responsible to Code, Test, Deploy and Scale SaaS-based Products using PHP, MySQL, with Laravel and Lumen MVC framework.
• Can write functional requirement documents and guides others within the project / team.
• Develop, write and implement software programming applications following established architecture standards as well as software development and project management methodologies.
• Integrate / Develop to third-party APIs.
• Write high quality code using the guidelines and effectively debug the code; perform code review of junior members.
• Azure or Aws cloud knowledge is good to have.
• Proficient understanding of code versioning tools, such as SVN, GIT.
• Build and implement web applications and back-end services that integrate with mobile applications.
• Build reusable code and libraries for future use & Optimize application for maximum speed and scalability.
  
  

Skills

• Strong coding experience with Laravel (5.5 and above) and Lumen
• Knowledge of PHP frameworks like CodeIgniter / YII / Zend / Joomla / Drupal etc will be a plus point.
• Strong skills in OOPs PHP, MySQL, CSS, HTML5, jQuery, JavaScript, AJAX, Web Services, JSON.
• Must have used frameworks such as JQuery /Angular/ React JS/Backbone.
• Strong knowledge of design patterns and OOPs concepts.
• Experience with databases like MySQL / MariaDB / Postgres.
• Experience in Source Code Versioning GitHub / GitLab / BitBucket and continuous integration tools like Jenkins.
• Working knowledge of XML / JSON and third-party APIs.
• Good to have skills: knowledge of non-relational databases like MongoDB; Exposure to Varnish, Redis, Elastic Search, Apache Solr.
• Payment processing integration experience in a PCI compliant environment is a plus
  Understanding of web and application security (OWASP)
• Experience in common third-party APIs (Google, Facebook, Twitter, Instagram, etc.)
• Good written and verbal communication with good analytical and multitasking skills