Java 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.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Role Description

This is a full-time remote role for a JAVA Spring Boot backend API developer. The Java Software Developer will be responsible for developing, testing, and maintaining APIs. Daily tasks include develop and test apis, coding in Java Spring Boot, and collaborating with cross-functional teams. The engineer will also work with the Spring Framework to develop scalable and efficient APIs.

Requirements

• Strong skills in Java and Spring Boot Programming
• Experience with Software Development and Microservices
• Knowledge of the Spring Framework
• Write clean, efficient, and maintainable code following best practices.
• Proficiency in databases such as MySQL, PostgreSQL, or MongoDB.
• Excellent problem-solving and analytical skills
• Experience with version control systems (Git, GitHub, GitLab, or Bitbucket).
• Ability to work independently and remotely

Come be a part of our growth journey! Submit your CV to https://technorexinfoways.com/career today.

• Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
•  Experience in the development of scalable and extensible systems using Java
•  Proficiency in Database technology such as MySQL, Oracle, and MongoDB
• Routines Sync & Async
• Solid and fluent understanding of algorithms and data structures
• Excellent software design, problem-solving and debugging skills
• Demonstrated high ownership in previous projects
• Excellent Communication Skills"

Looking for PHP Developer responsible for managing back end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities :

- Integration of user-facing elements developed by front-end developers

- Build efficient, testable, and reusable PHP modules

- Solve complex performance problems and architectural challenges

- Integration of data storage solutions

Skills And Qualifications :

- Strong knowledge of PHP web frameworks especially Laravel

- Understanding the fully synchronous behavior of PHP

- Understanding of MVC design patterns

- Understanding of front-end technologies, such as JavaScript, HTML 5, and CSS 3

- Knowledge of object oriented PHP programming

- Understanding accessibility and security compliance

- Strong knowledge of the common PHP or web server exploits and their solutions

- Understanding fundamental design principles behind a scalable application

- User authentication and authorization between multiple systems, servers, and environments

- Integration of multiple data sources and databases into one system

- Familiarity with limitations of PHP as a platform and its workarounds

- Creating database schemas that represent and support business processes

- Familiarity with SQL/NoSQL databases and their declarative query languages

- Proficient understanding of code versioning tools, such as Git

Desired Skills

1. Expereience in C#, Web API, .NET (Core and Framework), SQL Server.
2. Leading a team designing and implementing software solutions using the Microsoft Azure stack primarily, with scope to also work with open-source technologies.
3. Designing, building, testing, automating, monitoring, and supporting significant components within a modern digital service platform.
4. Helping to build and lead an effective, cross-functional squad practicing agile ways of working (Scrum, DevOps, Design Sprints) in tight collaboration with local and remote teams
5. Microservices and server less architecture with service fabric, functions and API apps, service bus.
6. Visual Studio, Visual Studio Code and GIT, Azure CLI (Cloud Shell), Azure DevOps.
7. Expertise in with Azure Active Directory, VNETs, NSGs, ASGs, OAuth and OpenID Connect, Azure traffic manager, CDN, App Gateway and load balancers.
8. Hands on experience of executing cloud native projects in Azure with DevOps

About the opportunity

What you’ll be doing:

• You will contribute to all aspects of an agile software development life-cycle including design, architecture, development, documentation, testing and operations.
• You will build cutting-edge scalable systems by writing simple and efficient code.
• You will push your design and architecture limits for new product development.
• You will collaborate with product managers, and other key stakeholders within the MMT family to successfully execute projects.
• You will ensure compliance with build/release and configuration management process.

What you’ll bring to the table:

• You possess good understanding of Agile Methodology, Object Oriented Programming Concepts and Responsive Designs.
• You have hands-on experience on Java/ J2EE stack and have done development across multiple browsers/platforms delivering mind-boggling results.
• You thrive in complexity and jump at the opportunity to collaborate with colleagues to delivery projects within tight deadlines.
• If you have work experience in a product/start-up company, we’ll like you even more.

Our Purpose and Challenges

With over 47% market-share, MakeMyTrip is India’s first and biggest travel company. In fact, one in every four passengers at an airport is our customer. Driven by the desire to provide an exceptional travel experience for our customers, we have continuously stayed ahead of the curve by developing technology and products to meet the ever-changing demands of the rapidly evolving travel ecosystem.

We are currently solving multiple challenging problems, including -

• How to bring the next 100 million users to our platform?
• How to leverage customer insights to create a truly personalised experience for users?
• How to create a delightful experience for our users, to make travel synonymous to MMT?

Biddano  is seeking for an analytical, result driven, multi-skilled candidate  for design for the position of Backend Developer. He/She will be responsible for  programming languages and tools to analyze current codes and industry developments, formulate more efficient processes, solve problems and create a more seamless experience for users.

 The ideal candidate will have strong personal accountability for results, strong commitment to teamwork in support of the company's success, adherence to ethical business practices, and comfort operating in a start-up environment with an ability to prioritize and drive actions to closure.

a start-up environment with an ability to prioritize and drive actions to closure.

Backend Developer

Responsibilities:

• Participate in the entire application lifecycle, focusing on coding and debugging
• Write clean code to develop functional REST APIs Using Django/Python or NodeJs
• Troubleshoot and debug applications
• Perform unit test cases to optimize performance
• Manage cutting-edge technologies to improve legacy applications
• Collaborate with Front-end developers to integrate user-facing elements with server side logic
• Gather and address technical and design requirements
• Provide training and support to internal teams
• Build reusable code and libraries for future use
• Liaise with developers, designers and system administrators to identify new features
• Follow emerging technologies

Skills Required:

• Proven work experience as a Back-end developer
• In-depth understanding of the entire web development process (design, development and deployment)
• Hands on experience with programming languages like Python (Required), typescript(Required),  Java.
• Working knowledge of CMS framework
• Familiarity with back-end languages (e.g. HTML, JavaScript and CSS)
• Excellent analytical and time management skills
• Backend:
• Django/DjangoREST, Python (Prefered) or NodeJs. 
• Good experience of microservices. 
• Hosting and Deployment Solutions:
• Good understanding of AWS which includes(All required):
• Good expertise in Linux.
• EC2 instance management.
• Scalability (Horizontal or Vertical) which includes autoscaling.
• Proper use of S3 for static file management. 
• SNS or AWS email service.
• AWS resource cost optimization. 
• Proper knowledge of Load Balancers.
• Teamwork skills with a problem-solving attitude

Experience :

• Minimum 4-7 years of  experience as a Backend Developer 
• B.tech Computer Science, Engineering or similar relevant field