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.

Role & responsibilities

• Develop and maintain server-side applications using Go Lang.
• Design and implement scalable, secure, and maintainable RESTful APIs and microservices.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic
• Optimize applications for performance, reliability, and scalability.
• Write clean, efficient, and reusable code that adheres to best practices.

Preferred candidate profile

• Minimum 5 years of working experience in Go Lang development.
• Proven experience in developing RESTful APIs and microservices.
• Familiarity of cloud platforms like AWS, GCP, or Azure.
• Familiarity with CI/CD pipelines and DevOps practices

We are looking for an experienced Java Developer with strong proficiency in Kafka and MongoDB to join our dynamic team. The ideal candidate will have a solid background in designing and developing high-performance, scalable, and reliable applications in a microservices architecture. You will be responsible for building real-time data processing systems, integrating various services, and ensuring smooth data flow across systems.

Key Responsibilities:

• Design, develop, and maintain scalable Java applications with a focus on performance and reliability.
• Build and maintain Kafka-based real-time data pipelines for handling high-volume, low-latency data.
• Work with MongoDB to design and optimize database schemas and queries for high throughput and availability.
• Collaborate with cross-functional teams to define, design, and implement new features and improvements.
• Troubleshoot and resolve issues related to system performance, scalability, and reliability.
• Ensure software quality through best practices, including testing, code reviews, and continuous integration.
• Implement and maintain security best practices in both code and data handling.
• Participate in agile development cycles, including sprint planning, daily standups, and retrospectives.

Required Skills & Qualifications:

• 7+ years of experience in Java development, with a strong understanding of core Java concepts (J2EE, multithreading, etc.).
• Hands-on experience with Apache Kafka, including setting up brokers, producers, consumers, and understanding Kafka Streams.
• Proficient in working with MongoDB for designing efficient data models, indexing, and optimizing queries.
• Experience with microservices architecture and RESTful APIs.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.
• Strong understanding of distributed systems, message-driven architectures, and event streaming.
• Familiarity with version control systems like Git.
• Excellent problem-solving skills, with the ability to debug and optimize code for high-performance systems.
• Experience with CI/CD pipelines and automated testing.

We are looking for an experienced Backend Engineer to join our Technology team. You will be responsible for the server-side of our web applications. You’ll be working closely with our engineers to ensure system consistency and improve user experience.

You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

Skills and Expertise

• Strong experience with backend technologies (PHP / Laravel framework)
• Deep understanding of REST API design and WebSockets
• Confident handling of Git, IntelliJ/Eclipse, Docker and/or Kubernetes, Maven, Jenkins or comparable tools
• You have knowledge in the development of a micro service architecture with modern technologies
• Apply software best practices such as CI/CD, TDD and clean code principles
• Eager to learn new technologies and concepts and aspiration to constantly improve yourself
• Experience in working with APIs, both third-party and custom written
• Good understanding of applications building and debugging with reusability and modularity in mind
• A structured, creative, and solution-oriented way of working

Responsibilities

• Work with development teams and product managers to ideate solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve the product

• You will be having 3+ years of experience of writing optimized Code in Javascript/Typescript and working with Advanced NodeJs frameworks targeting Latest NodeJs version.
• Design, build, and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle.
• Understanding of basic RDBMS using relational databases like PostgresSQL, MySQL, or MSSQL
• API development (Rest/GraphQL)
• You will participate in regular design sessions, code reviews and agile ceremonies.
• You will work closely with the Product Owner and scrum team to help deliver high quality features inside of agreed timescales
• You will Provide technical mentorship and upskilling to scrum team members and across functional boundaries where appropriate
• You will Identify areas for modification or refactoring inside our code-base and champion their improvement.
• You will lead by example, contributing to a culture of high quality, personal ownership and customer focused execution

Position- Backend Lead

Location : Pune/Bangalore

Exp : 10+ years

Prefer Mid Jan joiners

• 8+ years’ experience in Core Java / J2EE, Tomcat, Application Server, Web Services, spring, Spring Boot, Hibernate, messaging systems.
• 10 years min with Team leading experience
• Java 8+, Docker Container, Continuous Integration /Continuous Deployment
• Spring Boot,
• Microservice Architecture,          
• PostgreSQL, Azure,MySQL,
• Docker Container, Continuous Integration /Continuous Deployment         

Responsibilities

• Use your skills in OOP, OOAD, and testing to design and develop robust and scalable software.
• Work in a fast-paced environment with a focus on writing production-quality code and tests.
• Maintain minimal yet essential engineering documentation to complement the product.
• Collaborate with engineers and product teams as part of Agile delivery.
• Participate in code reviews and release cycles with an ownership attitude.

Requirements

• Strong at problem-solving using Java 8 and above.
• General understanding of SDLC using agile methodologies iterative development.
• Basic skills in HTML, CSS, and JavaScript are desired.
• Hands-on knowledge of using Spring Boot or Quarkus for building Microservices or API driven solutions.
• Knowledge of SQL and experience in using any RDBMS like MySQL, PostgreSQL.
• Understanding or exposure to Cloud-Native development using AWS is an added advantage.