Node.JS 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.

Senior Software Engineer

AiSensy  

Gurugram, Haryana, India (On-site)

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco, Wipro, Asian Paints, India Today Group, Skullcandy, Vivo, Physicswallah, and Cosco grow their revenues via WhatsApp.

• Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
• 400 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year
• Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
• High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
• Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors

Key Responsibilities:

• Build Scalable Architecture to handle millions of messages per day.
• Lead a team of engineers and guide them on a day to day basis.
• Collaborate with product managers, designers, and other engineers to define and implement new features and enhancements.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Conduct code reviews to ensure code quality and adherence to standards.
• Identify and resolve performance bottlenecks, bugs, and other issues.
• Mentor and provide guidance to junior engineers, fostering a culture of continuous learning and improvement.
• Participate in architectural discussions and contribute to the technical direction of the team.
• Stay up-to-date with the latest industry trends and technologies, and incorporate them into our development processes.
• Ensure the security, reliability, and performance of our applications.
• Collaborate with DevOps to streamline the deployment and monitoring processes.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• Over all 5+ years of experience with proven experience 3+ years as a Software Engineer, with a strong track record of delivering high-quality software products.
• Expertise in the MERN stack (MongoDB, Express.js, React, Node.js).
• Strong understanding of JavaScript and modern JavaScript frameworks.
• Experience with front-end technologies like HTML5, CSS3, and responsive design.
• Strong understanding of software development methodologies, including Agile and Scrum.
• Experience with RESTful API design and development.
• Experience with database design and management, particularly MongoDB.
• Familiarity with cloud platforms such as AWS.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Experience with version control systems such as Git.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes

Job Title: Mid-Level Backend Engineer

Location: Remote

Type: Full-time or Project Basis

About Us:

At Tese, we are committed to advancing sustainability through innovative technology. Our platform helps SMEs and financial institutions manage their Environmental, Social, and Governance (ESG) goals using AI, IoT, and data-driven insights. We are looking for a skilled Backend Engineer with mid-level experience to join our dynamic team and contribute to building scalable, robust backend systems.

Role Overview:

As a Mid-Level Backend Engineer, you will be responsible for developing and maintaining backend services that power our core platform. You will work closely with our frontend developers, product team, and data scientists to implement solutions that are scalable, secure, and efficient. You will focus on building APIs, managing databases, and optimizing the performance of our services.

Key Responsibilities:

• API Development:
• Design, develop, and maintain RESTful APIs that serve our frontend applications and third-party integrations.
• Ensure high-performance and responsiveness of APIs, while following best practices for security and scalability.
• Database Management:
• Work with both NoSQL (MongoDB) , SQL (PostgreSQL, MySQL) and databases, ensuring efficient data storage and retrieval.
• Optimize database queries and manage migrations, ensuring data integrity and consistency across the platform.
• Microservices and Cloud Infrastructure:
• Develop microservices architecture using Docker and Kubernetes, ensuring that services are scalable and maintainable (Good to have).
• Work with cloud platforms (AWS, GCP, Azure) to deploy and manage backend services, ensuring high availability and fault tolerance.
• Collaboration and Documentation:
• Collaborate with frontend developers, data scientists, and product managers to gather requirements and develop backend solutions.
• Write clear, maintainable code with proper documentation, including technical designs, API specifications, and test cases.
• Performance and Security:
• Monitor backend services to ensure optimal performance, identifying bottlenecks and implementing improvements.
• Implement security best practices for APIs, databases, and backend systems, including authentication, authorization, and data encryption.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience: 3-5 years of experience in backend development, with a strong focus on building scalable and efficient systems.
• Technical Skills:
• Proficiency in backend programming languages such as Node.js, Python.
• Strong understanding of RESTful APIs.
• Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
• Familiarity with cloud platforms such as AWS, Google Cloud.
• Knowledge of CI/CD pipelines and version control (e.g., Git).
• Soft Skills:
• Strong problem-solving abilities and the capacity to work independently as well as in a collaborative environment.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• A strong passion for sustainability and a desire to contribute to impactful projects that drive positive environmental change.

Preferred Qualifications:

The following qualifications are bonus, but not strictly necessary:

• Experience with Docker and Kubernetes for containerisation and orchestration (Good to have).
• Experience working with microservices architecture.
• Knowledge of ESG (Environmental, Social, and Governance) metrics and sustainability (Good to have).
• Familiarity with serverless architectures and API gateways.

Benefits:

• Competitive salary and benefits package and performance bonuses.
• Flexible working hours and remote work options.
• Opportunity to work on cutting-edge technology with a focus on sustainability.
• Professional development opportunities, including access to conferences and training.

How to Apply:

Interested candidates should submit their CV and a cover letter detailing their experience and passion for backend development and sustainability here.

Join Us:

Be a part of a forward-thinking team that is making a real difference in the world. At Tese, you'll have the opportunity to innovate, grow, and contribute to a more sustainable future through technology.

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

Midas is a fintech company that specializes in building state-of-the-art technological solutions for algorithmic trading, investments, and analytics for global financial markets. Headquartered in Mumbai, Midas aims to establish a strong presence in GIFT City (Gandhinagar), London, New York, and Singapore in the near future.

Our team consists of highly motivated and skilled individuals who serve sophisticated clients across various segments, including affluent individuals, high-net-worth individuals, ultra-high net-worth individuals, family offices, and institutions. We offer an excellent platform for personal and professional development within a highly committed and collaborative team in a mission-driven and results-oriented environment.

1. The ideal candidate should possess expert-level knowledge in technologies such as JavaScript, TypeScript, Node JS, MongoDB, Redis, Linux servers, and networking protocols (TCP and UDP). This includes understanding how to use these technologies to develop and deploy backend systems, as well as troubleshooting and optimizing them.
2. Proficient in automation technology, the candidate should be able to optimize existing infrastructure, identify and implement design patterns, and understand data structures and algorithms. This includes an ability to evaluate and recommend new technologies that can improve the performance and scalability of the system.
3. The candidate should be familiar with version control and project management tools such as GIT, JIRA, etc. and be able to use them effectively to manage and collaborate on code development.
4. Strong understanding of multithreading and multiprocessing concepts, and the ability to make tweaks and optimizations in similar domains for the purpose of improving performance and scalability.
5. Understanding of clustering and load balancing, including the ability to design and implement solutions that can improve the availability and scalability of the system.
6. Understanding of cyber security protocols and their application in the development and deployment of backend systems. This includes knowledge of best practices for securing systems, as well as the ability to identify and mitigate potential security threats.
7. Ability to implement CI/CD pipelines when needed. This includes an understanding of the various steps involved in creating, testing, and deploying code, as well as knowledge of the tools and technologies used to automate these processes.
8. Familiarity with tools such as NGINX or HAProxy and understanding how they can be used to improve the performance and scalability of the system.
9. Eagerness to learn and upgrade skills as per the demands of the product. This includes an ability to stay current with new technologies and best practices in the field, as well as a willingness to continuously improve one's own skills.
10. Proven experience in the industry and ability to work in a fast-paced environment. The candidate should have a solid understanding of the financial markets and the technology used to support them.
11. Strong problem-solving and analytical skills, ability to work independently and as part of a team. The candidate should be able to identify and solve complex problems and work effectively with others to achieve common goals.
12. Strong communication and interpersonal skills. The candidate should be able to effectively communicate with both technical and non-technical stakeholders, and work well in a team environment.

3+ years of experience developing Backends using NodeJS. Should be well versed with its asynchronous nature, event loop, promises, and callbacks.

Node expressProficient in Node.js and working knowledge of JavaScript, JQuery, AJAX, HTML, CSS, and frameworks ( React.js)

Experience in Node JS MVC framework and Rest API frameworks like Express.

Experience developing desktops.

Experience in Mongo DB.

Familiarity with using AWS components.

Postman for documenting/testing APIs.

• Design, implement, and maintain API-based applications and REST services.
• Proficiency with Node JS.
• Must have experience in cloud services Azure Cloud/AWS.
• Familiarity with database technology such as MySQL, PostgreSQL, and MongoDB.
• Develop high-quality, efficient, and scalable code.
• Understanding of Agile methodologies and SCRUM framework Strong debugging, analytical and problem-solving skills.
• Provide technical support during implementation efforts, working with technical team members and with business users as required to provide troubleshooting and solutions to technical issues.

• Proficient in Node with Express.Js as a framework.
• Must have hands-on experience in Databases. (MongoDB)
• Proficient understanding of code versioning tools, such as Git
• Hands-on experience in building microservices and processes.
• Building reusable code and libraries for future use