SDE - 2 - Backend 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.

Requirements

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

Roles & Responsibilities

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

Who You Are:

• You’ve built scalable, production-ready APIs in fast-paced environments, and are comfortable with the challenges that come with a growing startup.
• You understand event-driven architectures and have hands-on experience building real-time applications.
• You are fully capable of taking ownership of backend systems, from designing the database schema to writing efficient, maintainable code.
• You think beyond the code: optimizing performance, scalability, and security are as important as building new features.
• You’re comfortable troubleshooting complex issues, whether that’s API bottlenecks, database performance, or production issues.

Responsibilities:

• Design, implement, and manage a NestJS backend with a modular, scalable architecture that can easily handle real-time events and communication.
• Develop and maintain WebSocket services for real-time event-driven updates and ensure seamless communication across the system.
• Integrate RabbitMQ for reliable internal messaging, handling queues and ensuring event-driven workflows are efficient and fault-tolerant.
• Implement database management strategies using MongoDB, Redis, and Elasticsearch, ensuring efficient data handling, indexing, and optimization.
• Integrate with external APIs (JSON-RPC, XML-RPC, REST) to enhance system capabilities.
• Ensure high performance of the system by optimizing database queries, implementing caching strategies using Redis, and ensuring optimal indexing and data flow.
• Implement role-based authentication and authorization mechanisms using JWT, OAuth, and RBAC patterns within NestJS.
• Follow security best practices to ensure sensitive data is protected, credentials are stored securely, and the system is resilient to common vulnerabilities.
• Work collaboratively with cross-functional teams to ensure seamless integration between different services and technologies.

Must-Have Skills:

• Strong proficiency in Node.js and NestJS with TypeScript.
• Solid experience with MongoDB, Redis, and Elasticsearch for data storage and real-time data handling.
• In-depth knowledge of WebSockets and Socket.IO in NestJS Gateways, enabling real-time communication and updates.
• Experience with RabbitMQ for message queuing and asynchronous task handling.
• Strong understanding of authentication & authorization systems using JWT, OAuth, and RBAC (Role-Based Access Control).
• Expertise in optimizing APIs, including techniques for caching, improving database performance, and reducing latency.
• Familiar with API security best practices, including secure storage of credentials, encryption, and safeguarding sensitive data.

Key Skills:

• TypeScript, NestJS, WebSockets, Socket.io
• Redis, MongoDB, Elasticsearch, RabbitMQ
• API Optimization, JWT, OAuth, RBAC
• Real-time communication, Event-driven architecture

Job Description:

We are seeking an experienced Java Back-end Developer to join our team. The ideal candidate

will be responsible for designing, developing, and maintaining robust and scalable back-end

solutions using Java and related technologies. The Back-end Developer will work closely with

cross-functional teams to deliver high-quality software solutions that meet our business needs.

Responsibilities:

 Design, develop, and maintain Java-based back-end applications, services, and APIs.

 Write efficient, reusable, and well-documented code following industry best practices

and coding standards.

 Collaborate with front-end developers, product managers, and other stakeholders to

understand requirements and translate them into technical solutions.

 Implement and maintain database schemas, write complex SQL queries, and optimize

database performance using Oracle SQL.

 Develop and consume RESTful web services to enable seamless integration with

external systems.

 Utilize Spring framework and its various modules (e.g., Spring Boot, Spring Batch) for

building enterprise-level applications.

 Manage project dependencies and build processes using Maven.

 Work with version control systems such as Git for code management and collaboration.

 Perform unit testing, integration testing, and debugging to ensure the quality and

reliability of back-end components.

 Stay updated on emerging technologies, trends, and best practices in back-end

development.

Additional Requirements:

 Strong knowledge of application servers such as Tomcat and WebLogic.

 Experience with continuous integration tools such as Jenkins.

 Familiarity with automated testing frameworks such as JUnit.

 Understanding of authentication and authorization mechanisms, including OAuth.

 Knowledge of SOAP web services and related technologies.

Requirements:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 5 Plus years of experience in Java back-end development.

 Proficiency in Java programming language and related frameworks (e.g., Spring, Spring

Boot, Spring Batch).

 Strong understanding of object-oriented programming principles, data structures, and

algorithms.

 Experience with Oracle SQL and database design principles.

 Familiarity with RESTful web services and API development.

 Experience with build tools such as Maven.

 Knowledge of version control systems, particularly Git.

 Strong problem-solving skills and attention to detail.

 Excellent communication and collaboration skills.

 Ability to work effectively in a fast-paced, agile environment.

Preferred Qualifications:

 Experience with other databases such as MySQL, PostgreSQL, or MongoDB.

 Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.

 Understanding of software development best practices and design patterns.

Hi

About the company:

Our Client is a brand co-creation platform that transforms powerful ideas into authentic, profitable, andexperience-led brands that can define the future of brands in key consumption categories like fashion and lifestyle; food and FMCG, home and decor and beauty and wellness. We are a team of experienced entrepreneurs, marquee investors, and industry professionals who have expertise and experience in building some of the most popular brands in the country. We partner with passionate entrepreneurs to combine our collective learning and experience with data science, digital ethnography, and technology platforms to build brands that connect to the new generation of Indian consumers

Job Location: Mumbai

What you’ll be doing?

• Fluent in Backend web application development (Node.JS, PHP with good knowledge of Magento).

• Fluent in Database (MySQL, NoSQL, MongoDB) design and management.

• Substantial experience with high throughput web services.

• Experience in using cloud platforms like Amazon.

• Knowledge of Frameworks like Express, Koa, Zend, etc.

• Basic Understanding of Front End development (JavaScript, CSS, Ajax, React.JS, Boot Strap, HTML 5)

• Fluent in various automation testing, performance testing, and deployment tools.

• Decent Understanding of Working on Agile Software Development Methodology

What you’ll bring?

• We are looking for an experienced Back End developer to be part of a diverse, fast pace and energetic team.

• The candidate will be expected to design a scalable client-server framework, build database-intensive reporting modules, scalability and reliability of existing applications and services, and provide troubleshooting and 2nd-tier support for existing applications.

• The candidate should be a self-starter, who is proactive, positive, flexible, and a good team player.

• Minimum qualifications: B.Tech./B.E. in CS, IT, or ECE from a reputed college. 1-3 years of experience in Backend software development.

Why work with us

• You will be part of our founding team and get your hands dirty in the 0-1 stage of building a D2C brand.

• You will work with a solid set of people from diverse backgrounds.

• You will independently lead projects and have ownership of your deliverables.

• You will be pushed out of your comfort zone and watch your learning curve spike.

Regards

Team Merito

• We are looking to add a Software Engineer to contribute to the development, upgradation and management of our back end services for our website / PWA / app / chatbot / internal tools.
• You will be part of a lean team with a very steep learning / growth opportunity while working on and exploring some of the cutting edge technologies
• This is a full-time role in Mumbai with flexible working hours (including WFH)
• You will be working closely with the founder and be involved in strategic decisions such as back end architecture, tech stack selection, hiring, etc.
• We have multiple products in the pipeline and we need a strong team player who can contribute shoulder-to-shoulder with the existing team in the software development process.
• CTC offered: upto Rs. 22 Lakhs

• Must have qualities: logical & independent thinker; problem solver; result oriented; takes ownership; ability to work indepenently with end-to-end output delivery; ability to structure the code (to avoid rework in future)
• Experience in writing production quality code in NodeJS, Python, Java, or Ruby on Rails
• Hands on experience in design web application using ExpressJS, Koa, Django
• Experience in designing and developing REST API. Familiarity with GraphQL is a plus.
• Proficient in dealing with SQL and NoSQL databases like MySQL, PostgreSQL MongoDB, Elasticsearch.
• Experience with in-memory databases like Redis or MemCache; webserver like Apache, Nginx.
• Experience in stress testing and unit testing and familiarity with testing platforms is a plus
• Proven experience in implementing user authentication and authorization in distributed systems.
• Capability to integrate multiple data sources and databases into one system.
• Experience in designing and developing scalable system.
• Working experience with one of the cloud services like GCP, AWS , Digital Ocean, Azure, etc.
• Knowledge of low-code / no-code tools to expedite production is a plus
• Engineering degree; Computer Science preferably + minimum 2 years of work experience as a Back End Engineer (NOTE: Please do not apply if you do not meet this criteria)
• Clear communication, strong inter-personal skills

• Experience of a lifetime by disrupting the antiquated tech of Real Estate
• Steep learning curve with opportunity to
• Opportunity to generate immense wealth for yourselves from the equity allocation
• A good cash salary
• Standard perks (health insurance, medical benefits etc.)

1. CV screening
2. Coding Test
3. Technical Interview