Node.js Back end 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.

Mentoring teams to carry forward recognised and optimised solutions, building conducive environments for knowledge transfer and maintaining standards in terms of deliveries form a major part of responsibilities.

Responsibilities

• Design and develop robust scalable database systems
• Design, build and deploy internal applications to support our native technical ecosystem
• Collaborate with Subject-Matter experts to design data-driven modules for analysis

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent
• 3-4 years of experience in Java

Skills

• Expertise in object-oriented programming concepts and data structures
• Strong knowledge of working with XMLs/Jsons
• Experience with large-scale distributed storage and database systems (MySQL, MongoDB, GraphDB)
• Good knowledge of indexing/search libraries like Lucene/Solr/Elasticsearch
• Exposure to Spring MVC architecture and RESTful APIs
• Well-versed with Agile methodology of SDLC
• Good to have: Knowledge of standard DevOps skills like Build tools (Maven/gradle), Continuous integration (Jenkins), Version Control (Github/Gitlab)

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Job description for Backend Developer:

If interested can forward your resume to (ambikadotjsemperfidotcodotin)

For more details contact 8a3a1a0a8a4a4a6a8a2

Responsibilities:

• Develop, implement, and maintain production timelines across multiple teams
• Translate product’s strategy into detailed requirements for prototype construction and final product development
• Analyze consumer needs, current market trends, and potential partnerships from an ROI
• Outline the product vision, product strategy, and product roadmap
• Assess current competitor offerings, seeking opportunities for differentiation
• Appraise new product ideas and strategize appropriate to-market plans
• Ensure that user story content and prioritization is aligned to the larger strategic objective
• Recommend the scope of present and future product lines by reviewing product specifications and appraising adjustments
• Provide information for management by preparing product sales forecasts and reports
• Meet regularly with key customer-facing teams to collect and analyze user feedback to shape new product ideas and user requirements.
• Help in the creation and maintenance of bona fide product documentation
• Work with development leads so that product requirements are understood and built accordingly
• Work within a software development methodology like AGILE
• Coordinate product releases with marketing, sales, and development teams
• Provide product training and technical expertise
• Work with the leadership team in planning the product roadmap.
• Be the product owner driving our strategic product and technology vision on the platform side of products 

Requirement:

• 3+ years of experience as a Technical Products Manager in a software company.
• Has deep knowledge of every stage of the product life-cycle -- introduction, growth, maturity, and decline -- and understands how it affects development adjustments.
• Critical thinker & problem solver
• Familiarity in the AGILE development framework will be preferable.
• Strong understanding of cutting-edge tools and technologies for frontend and backend development
• Data-oriented, have exceptional analytical skills
• Experience working with the development teams directly will be a plus
• Has the ability to set priorities and resolve issues and set realistic product development goals
• Should be able to communicate technical solutions to both internal and external audiences
• Understand industry flow and trends
• Has the ability to evaluate key metrics to optimize performance
• Demonstrated track record managing successful product development from feature definition to project deployment
• Work with product management analytics tools
• A people-friendly person with extraordinary organizational and leadership skills

We are looking for an experienced top-notch Software Engineer to grow with our development team. As a Node.js engineer, you will be involved from conception to completion with projects that are technologically sound and impactful.

What you will do: 

1. Work on existing software solutions or new systems on the specified programming language.
2. Translating designs and wireframes into high-quality code. 
3. Ensure the best possible performance, quality of the solution you are working on. 
4. Working closely with business analysts, software engineers, product managers, designers and other stakeholders. 
5. Write well-designed and efficient code by adhering to the specified coding standards. 
6. Mentor and support other team members by doing code reviews and applying your experience in process and technical leadership.
7. Document the development process, architecture, and standard components.

1. Minimum 2 years of work experience as a Software Engineer(Node.js).
2. Good knowledge of SQL and related databases.
3. Proficient in Node.js, Javascript, AJAX, jQuery, JSON, CSS and HTML.
4. Knowledge of object-oriented programming.
5. Knowledge of the Front-end and Back-end processes.
6. Knowledge of web development, continuous integration, and cloud technologies
7. Proficiency with RESTful APIs to connect applications to back-end services.
8. Flexibility to switch to a new programming language as and when required. 
9. Ability to own a product and deliver exceptional quality. 
10. Analytical capabilities and logical approach to problem-solving. 
11. Familiarity with software development lifecycle and agile methodology.
12. Good at writing understandable, testable code with an eye towards maintainability 
13. Proficiency in software engineering tools. 
14. Have system-level thinking and the ability to develop a system as a whole. 
15. Bachelor's degree in Computer Science Engineering or any other relevant course. 
16. Good communication skills - including the ability to convey information to non-technical team members in a concise and clear way. 
17. Ability to understand the end-user. 

• Impactful Projects: At Synoriq, you get to work on exciting projects that create a huge impact in the lives of common people. You get exposure to the various domains we work in - be it the financial sector or the government sector. With projects of such scale, we work on the latest and most popular technologies in the market. 
• Great Nucleus of Minds: You get to work with the smartest people and learn together. Our team is a bunch of talented designers, engineers, singers, storytellers, and dancers.  
• Fun: We understand that theres a life outside the office too. We offer flexibility in the work schedule and work from home so that you give your best every day.  
• Leadership Initiatives: We promote the overall development of an individual and help you realize your professional goals. There are ample learning opportunities providing exposure in different domains and working in cutting-edge technology.

• 10 + years of experience and expertise in database and systems architecture design, development and implementation;
• Expertise and experience in data structures, indexing, query, and retrieval;
• Excellent data management skills including ensuring data integrity, data access, security and archiving procedures;
• Knowledge of the language technology and video extraction research domains to be able to converse fluently with the research communities to transform research requirements into concrete formalisms.
• Experience in cross platform development for multiple variants of Unix, Linux including 32 and 64 bit
• Experience with NoSQL, SQL databases, statistics and algorithms
• Strong oral and written communication skills
• Design, implement and test novel database architecture designs to accommodate the multimodal data types used in Client managed technology evaluations
• Administer and monitor database and address data security solutions as applicable
• Design and develop efficient techniques for fast, optimized data access and transfer of distributed or networked database systems
• Design, implement and test novel data structures, data search, query and retrieval solutions to enable access to and processing of the multimodal data types used in Client managed technology evaluations