Inside Sales

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.

Backend Engineering Intern (Infrastructure Software) – Remote

Position Type: Internship (Full-Time or Part-Time)

Location: Remote

Duration: 12 weeks

Compensation: Unpaid (***3000 INR is just a placeholder***)

About the Role

We are seeking a motivated Backend Developer Intern to join our engineering team and contribute to building scalable, efficient, and secure backend services. This internship offers hands-on experience in API development, database management, and backend architecture, with guidance from experienced developers. You will work closely with cross-functional teams to deliver features that power our applications and improve user experience.

Responsibilities

• Assist in designing, developing, and maintaining backend services, APIs, and integrations.
• Collaborate with frontend engineers to support application functionality and data flow.
• Write clean, efficient, and well-documented code.
• Support database design, optimization, and query performance improvements.
• Participate in code reviews, debugging, and troubleshooting production issues.
• Assist with unit testing, integration testing, and ensuring system reliability.
• Work with cloud-based environments (e.g., AWS, Azure, GCP) to deploy and manage backend systems.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field.
• Familiarity with one or more backend languages/frameworks (e.g., Node.js, Python/Django, Java/Spring Boot, Ruby on Rails).
• Understanding of RESTful APIs and/or GraphQL.
• Basic knowledge of relational and/or NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with version control (Git/GitHub).
• Strong problem-solving skills and attention to detail.
• Ability to work independently in a remote, collaborative environment.

Preferred Skills (Nice to Have)

• Experience with cloud services (AWS Lambda, S3, EC2, etc.).
• Familiarity with containerization (Docker) and CI/CD pipelines.
• Basic understanding of authentication and authorization (OAuth, JWT).
• Interest in backend performance optimization and scalability.

What You’ll Gain

• Hands-on experience building backend systems for real-world applications.
• Exposure to industry-standard tools, workflows, and coding practices.
• Mentorship from experienced backend engineers.
• Opportunity to contribute to live projects impacting end users.

Profile Title: Software Development Engineer

Location: Pune Remote

Company Profile:

Growloc Private Limited is a leading Agri-tech company in India specializing in IoT solutions for farm management. We empower farmers with innovative technology to optimize resource usage, improve yields, and ensure consistent quality produce. Backed by a team of passionate individuals, Growloc Private Limited is committed to creating a more sustainable and productive future for Indian agriculture.

Role Overview:

 We’re looking for a MERN Stack Engineer (SDE-2) who’s passionate about building impactful products and believes in working smarter—with AI copilots, automation, and lean dev cycles. You’ll be part of a high-ownership team responsible for delivering full-stack features, writing testable code, and deploying to production with CI/CD.

Key Responsibilities:

• Build and maintain robust full-stack applications using MongoDB, Nest.js, React.js, and Node.js.

• Actively leverage AI tools (Copilot, ChatGPT, etc.) for faster development, documentation, and writing test cases.

• Write and maintain unit, integration, and end-to-end tests to ensure code quality.

• Own features end-to-end—from design to deployment using modern CI/CD workflows (GitHub Actions, Vercel, AWS).

• Collaborate with product, data, and hardware teams in a lean setup to ship fast and iterate often.

• Ensure performance, responsiveness, and scalability of front-end and backend systems.

Required Skills:

• 2–5 years of professional experience building products using the MERN stack.

• Strong understanding of frontend architecture (React Hooks, Context API/Redux).

• Proficiency in Node.js, Express, and MongoDB schema design.

• Familiarity with CI/CD tools, Git workflows, and cloud deployments.

• Experience with automated testing frameworks (Jest, Mocha, Cypress, etc.).

• Demonstrated use of AI-based coding assistants in real-world development workflows.

Good to Have:

• Exposure to IoT systems or integration with hardware devices.

• Experience working with LoRaWAN protocols and sensor data ingestion.

• Familiarity with WebSockets, MQTT, or real-time data processing.

• Background in agriculture, climate-tech, or rural tech products.

• Knowledge of TypeScript or serverless architectures.

Compensation: Best as per the market standards

At Growloc, we believe in purpose-driven technology. You’ll be part of a collaborative team working at the intersection of agriculture and innovation. If you're excited about building products that matter—and making a real-world impact—this is the place for you.

Job Summary

We are seeking a skilled Frontend Developer with expertise in React.js and React Flow to design and implement dynamic, interactive user interfaces. You will be responsible for building scalable web applications and visual workflows that empower users to interact with complex data and processes intuitively.

🛠️ Key Responsibilities

• Develop responsive and high-performance web applications using React.js
• Design and implement interactive flow-based UIs using React Flow
• Collaborate with UX/UI designers to translate wireframes into functional components
• Optimize components for maximum performance across devices and browsers
• Integrate RESTful APIs and manage application state using tools like Redux or Zustand
• Write clean, maintainable, and well-documented code
• Participate in code reviews, testing, and continuous integration processes

✅ Required Skills

• Strong proficiency in JavaScript (ES6+) and React.js
• Hands-on experience with React Flow for building node-based editors or workflow diagrams
• Familiarity with state management libraries (Redux, Zustand, Recoil)
• Experience with HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind, Styled Components)
• Understanding of component lifecycle, hooks, and functional programming
• Knowledge of Git, CI/CD pipelines, and agile development practices

💡 Preferred Qualifications

• Experience with TypeScript
• Familiarity with backend integration (Node.js, GraphQL, etc.)
• Exposure to data visualization libraries (D3.js, Chart.js)
• Understanding of accessibility and performance optimization

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Role:- SDET 2
• A Software Engineer Test (SDET) at Zupee is a master of all. It combines the "building" aspect of software engineering with the "breaking" aspect of software test engineering. You’ll be writing code that automatically verifies the quality of the product.
• Reporting Managers:- SDET Lead
• Location:- Agnostic/Work from anywhere
  
  

• Experience in Manual Testing & Automation - UI and Functionality.
• Experience in Database using any ETL tool.
• Good knowledge in writing SQL Queries and understanding of Complex SQL Queries.
• Experience in Functionality, Compatibility, Integration and Regression Testing.
• Experience in preparing Test scenarios and writing Test cases for UI, Functionality, API and Database testing.
• Hands Experience in ,white box testing, Test Case execution, result generation, status reporting and Defect reporting, Regression Testing, JIRA
• Experience in API testing using POSTMAN or any REST API testing tool.
• Good knowledge on any automation tool and Framework
• Technical Documentation - Test case, Test Plan, Matrixes and Reporting.
•  

• Has the ability to think clearly, analyse quantitatively, communicate coherently, organize effectively, prioritize and ideate.
• They have metric-driven, fast paced, attentive to detail, data-driven and
• self-motivated.
• Has analytical, creative, curious, a problem solver and can influence stakeholders
• Good analytical, reasoning and problem-solving skills required
• Good communication skills - both verbal and written

• Experience in Java/Python programming (testing area)
• 1-4.5 Years of experience with acumen for Automation Testing
• Experience in back end testing (ETL, API, Services, Data Center Automation etc)
• Experience in Frontend and/or RPA testing (Selenium, Robot Framework)
• Experience in designing and managing test suites for aforementioned use cases
• Experience in testing Android/iOS apps and performing ui automation for either is a plus
• Prior experience in using tools like Testrail, jira and confluence is a plus
• Good analytical, reasoning and problem solving skills required.
• Work well in a collaborative, team based environment (both work autonomously and as part of a team)

We have a permanent opening for a Java Developer with one of our product based IT client.

Client: Intellect Design Area

Position: Java Developer

Job Location: Gurgaon

Website: http://www.knrglobal.com">www.knrglobal.com                                                                                                                                                                

About KNR: KNR Management Consultants is India’s forthcoming end-to-end HR service provider with focus on Executive Search; Offshore Recruitments; HR Consulting for client organisations worldwide.

KNR offers high quality services aimed at improving market place performance of its clients and facilitating the entry of foreign clients into India. We continuously strive toward being known in the industry as the best & the quickest by combining our functional specialist expertise with thorough research and speed to provide exceptionally responsive and effective services.

It is one of the leading executive search firm catering to the clients in Asia Pacific, Africa, Middle East, Europe & America and has been ranked among the top 50 most socially engaged organizations in Asia by LinkedIn in 2018.

About Intellect Design Arena:

Intellect Design Arena Limited is a global leader in Financial Technology for Banking, Insurance and other Financial Services. With a rich suite of products across the organization, we are an authority on vertical and integrated products that enable institutions to meet their ambition to be the principal service provider to their customers.

Job Description-

1. Java

1. Spring
2. Micoservices

Key Job Functions/Requirements:

• Design, develop, implement, and maintain java application phases, code, and software.
• Conduct software analysis, programming, testing, and debugging, as well as recommending changes to improve the established processes.
• Transform requirements into stipulations and identify production and non-production application issues