IT Sales Intern

Job Title : Full Stack Developer (React.js / Next.js)

Experience : 3+ Years

Location : Gurugram Sector 43

Working Days : 5 Days WFO

Employment Type : Full-Time

Job Summary :

We are looking for a passionate Full Stack Developer with strong expertise in React.js and Next.js to build modern, high-performance web applications. This is a frontend-focused role that also requires experience with backend development, APIs, and databases.

Mandatory Skills :

React.js, Next.js (App Router & Server Components), JavaScript (ES6+), TypeScript, REST APIs, SSR/SSG/ISR, PostgreSQL/MySQL, Git, State Management (Redux/Zustand/Context API), HTML5, CSS3/Tailwind CSS

Key Responsibilities :

• Develop and maintain web applications using React.js and Next.js.
• Implement SSR, SSG, and ISR for performance and SEO optimization.
• Build reusable and responsive UI components using Tailwind CSS or similar frameworks.
• Integrate frontend applications with backend APIs.
• Work with PostgreSQL or MySQL databases.
• Manage application state using Redux, Zustand, or Context API.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and testing activities.

Required Skills :

• 3+ years of experience in web development.
• Strong knowledge of JavaScript (ES6+), TypeScript, React.js, and Next.js.
• Experience with Next.js App Router and Server Components.
• Good understanding of REST APIs.
• Experience with PostgreSQL or MySQL.
• Proficiency in Git and modern package managers (npm/yarn/pnpm).

Good to Have :

• Experience with PHP/Laravel (preferred) or Node.js.
• Knowledge of JWT, OAuth, or Laravel Sanctum.
• Experience with Tailwind CSS.
• Familiarity with Docker, Vercel, and CI/CD pipelines.

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.

Key Responsibilities:

• Design, develop, and customize Salesforce CPQ (Configure, Price, Quote) solutions
• Work extensively with Apex, LWC, Aura Components, Visualforce, and Triggers
• Implement and optimize integrations with Workday, PRM, and Gainsight NXT
• Build automation using workflows, validation rules, and custom objects
• Handle data migration, reports, dashboards, and SOQL/SOSL queries
• Perform unit testing, debugging, and deployments using Flosum / Opsera (GitHub)
• Collaborate with business stakeholders for requirements, testing, and delivery

1. Write high-quality technical content, blogs, website content, and articles
2. Create engaging social media content for different platforms
3. Research industry trends, competitors, and audience interests
4. Optimize content using SEO best practices
5. Work closely with the marketing and design team for content planning
6. Ensure all content is clear, thoughtful, and aligned with the brand voice
7. Proofread and edit content before publishing
8. Take ownership of assigned projects and meet deadlines consistently

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes Tvarit one of the most innovative AI companies in Germany and Europe. 

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English. 

We are seeking a skilled and motivated Data Engineer from the manufacturing Industry with over two years of experience to join our team. As a data engineer, you will be responsible for designing, building, and maintaining the infrastructure required for the collection, storage, processing, and analysis of large and complex data sets. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives. 

Skills Required 

• Experience in the manufacturing industry (metal industry is a plus)  
• 2+ years of experience as a Data Engineer 
• Experience in data cleaning & structuring and data manipulation 
• ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines. 
• Python: Strong proficiency in Python programming for data manipulation, transformation, and automation. 
• Experience in SQL and data structures  
• Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache and NoSQL databases. 
• Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform. 
• Proficient in data management and data governance  
• Strong analytical and problem-solving skills. 
• Excellent communication and teamwork abilities. 

Nice To Have 

• Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database). 
• Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud. 

Not hiring, creating a cult.

“Do you thrive on working on the cutting edge? Working with innovators in the early stages of ideas, products, or platforms?

Do you want to transform an industry?

Crave new challenges and solving hard customer problems using the latest in software technology?... As a developer at Daxta, you will use the latest technologies from Mobile to Cloud to create amazing, customer-focused SaaS product.

Come help us re-imagine our Webinar Platform to provide world-class, best of breed solutions to delight our customers.

Make a major impact on the SaaS industry.”

We are a SaaS Webinar Platform.

At Daxta we are looking out for NodeJS Developers.

No degrees, no qualifications required just aspirations backed by ability. Apply Now!

Immediate Joining Only.

#hiring #cult #hidaxta #interns #backend #jobs #react #angular #js #NodeJs

About CarWale: CarWale's mission is to bring delight in car buying, we offer a bouquet of reliable tools and services to help car consumers decide on buying the right car, at the right price and from the right partner. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars.We aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with! Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media space.About the Team:We are a bunch of enthusiastic analysts assisting all business functions with their data needs. We deal with huge but diverse datasets to find relationships, patterns and meaningful insights. Our goal is to help drive growth across the organization by creating a data-driven culture.

We are looking for an experienced Data Scientist who likes to explore opportunities and know their way around data to build world class solutions making a real impact on the business. 

Skills / Requirements –

• 3-5 years of experience working on Data Science projects
• Experience doing statistical modelling of big data sets
• Expert in Python, R language with deep knowledge of ML packages
• Expert in fetching data from SQL
• Ability to present and explain data to management
• Knowledge of AWS would be beneficial
• Demonstrate Structural and Analytical thinking
• Ability to structure and execute data science project end to end

Education –

Bachelor’s degree in a quantitative field (Maths, Statistics, Computer Science). Masters will be preferred.

Your responsibilities as an Engineer: 

•     Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.

•     Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.

•     Prepares and installs solutions by determining and designing system specifications, standards, and programming.

•     Improves operations by conducting systems analysis; recommending changes in policies and procedures.

•     Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.

•     Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment

•     Participate in educational opportunities & read professional publications;

•     Protects operations by keeping information confidential.

•     Provides information by collecting, analyzing, and summarizing development and service issues.

•     Accomplishes engineering and organization mission by completing related results as needed.

•     Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.

Skill sets we require:

•     Proven work experience as a Software Engineer or Software Developer

•     Experience designing interactive applications

•     Ability to develop software in or other programming languages like JIRA or Postman

•     Excellent knowledge of relational databases, MYSQL and Restful API

•     Experience developing web applications using at least one popular web framework (Laravlel, Codeigniter and Magento)

•     Experience with test-driven development

•     Proficiency in software engineering tools

•     Ability to document requirements and specifications

Educational Qualification: 

•     Bachelor’s/Master’s degree in Computer Science Engineering or equivalent 

As the backend engineer developer, you will drive the vision of AvatarLife and make it a significant player in metaverse gaming space. You will steer the development of our games and everything that comes with it.

Skills Required

• 2+ years experience in Node.js is required
• Experience in game development
• Familiarity with typescript is a plus

We are looking for individuals who can work independently and are fine with unstructured scenarios. We are flexible with the job location, working hours and compensation structure. We will match industry standard when it comes to all aspects of your professional development to make sure you can focus on making a great product.