NodeJS 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.

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)

Location: Bhavnagar [On-site]

Job Type: Full-time

Responsibilities:

• Develop, test, and maintain web applications using Laravel framework.
• Build and integrate RESTful APIs.
• Ensure high performance and responsiveness of applications.
• Troubleshoot issues and debug code.

Requirements:

• 6+ Months of experience in PHP Laravel development.
• Strong knowledge of PHP, Laravel, MySQL, MVC architecture, and OOP.
• Familiarity with HTML, CSS, JavaScript.
• Experience with Git or other version control systems.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or related field.



What We Offer:

• Competitive salary
• Growth opportunities
• Friendly and collaborative team environment

Requirements

• Bachelors/Masters in Computer Science or a related field
• 5-8 years of relevant experience
• Proven track record of Team Leading/Mentoring a team successfully.
• Experience with web technologies and microservices architecture both frontend and backend.
• Java, Spring framework, hibernate
• MySQL, Mongo, Solr, Redis, 
• Kubernetes, Docker
• Strong understanding of Object-Oriented Programming, Data Structures, and Algorithms.
• Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
• Experience with API Design, ability to architect and implement an intuitive customer and third-party integration story
• Ability to think and analyze both breadth-wise (client, server, DB, control flow) and depth-wise (threads, sessions, space-time complexity) while designing and implementing services
• Exceptional design and architectural skills
• Experience of cloud providers/platforms like GCP and AWS

Roles & Responsibilities

• Develop new user-facing features.
• Work alongside the product to understand our requirements, and design, develop and iterate, think through the complex architecture.
• Writing clean, reusable, high-quality, high-performance, maintainable code.
• Encourage innovation and efficiency improvements to ensure processes are productive.
• Ensure the training and mentoring of the team members.
• Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed.
• Research and apply new technologies, techniques, and best practices.
• Team mentorship and leadership.

• Research, design and build highly reliable, available, and scalable platforms.
• Explore design implications and work towards an appropriate balance between functionality, performance, and maintainability.
• Lead by example, mentor, and guide team members on everything from structured problem solving to development of best practices.
• Own large technical deliverables and execute in an exemplary way
• Be able to conceptualize and develop prototype quickly
• Working with a cross-discipline team (Design, Product, Engineer, Operations, Sales, Marketing).
• Active participation in the hiring process to bring quality engineers in the team. 
• Lead-out team meetings, stand-ups, and architecture/design discussions
• Writing bug-free code, participating in code reviews, designing/architecting systems of varying complexity and scope, and creating high-quality documentation supporting the design/coding tasks
• Identify areas of improvement in our frameworks, tools, processes and strive to make them better.
• Researching new technologies and adapting them to BeyondSkool’s requirements
• Own and commit to all your work, and be accountable for your results
• Using and understanding code from Open-Source projects
• Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people
• Produce highly reliable systems that are thoroughly tested and benchmarked.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric infrastructure that operates 24x7
• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, and deliver with speediness and quality.

• Bachelor's degree in Computer Science or any other relevant field.
• Experience of 5 - 7 years as a back-end engineer preferably in a microservice environment.
• Strong proficiency of Node.js and frameworks available for it such as Express.js
• Strong proficiency in Javascript and TypeScript

• Must have worked building 2+ backend system using node.js and Express.js
• Strong understanding and experience of creating highly scalable and complex database design.
• Good understanding of Data Modeling using RDBMS and NoSQL (Cassandra, MongoDB, ElasticSearch, Redis) data stores
• Strong problem-solving skills with a good understanding of data structures and algorithms
• Strong understanding of front-end technologies, such as HTML5, and CSS3
• User authentication and authorization between multiple systems, servers, and environments
• Experience of creating highly scalable, fault tolerant, resilient distributed systems
• Strong knowledge of creating scalable system design and good understanding of microservice based architectures
• Understanding of caching enabled, PubSub and event driven architectures
• Hands on experience and good knowledge of AWS services
• Understanding automated testing platforms like selenium and unit tests like Chai, Mocha, Jasmine etc
• Proficient understanding of code versioning tools, such as Git
• Curiosity to explore the cutting-edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.

What you need to have:

• 3-5 Years of experience in Backend Development.
• Must have experience in Python (FLASK framework).
• Have Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP or Azure.
• Core experience in developing complex backend systems.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.