Java Lead

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.

Job Role Solution Architect

Experience 15+ years

Notice period Immediate

Location - Bangalore

Note: OMS & Retail domain Experience is mandatory

Introduction

We are looking for an experienced Solution Architect with strong hands-on expertise in Java and Microservices architecture.

Responsibilities include:

- Design and define end-to-end solution architecture for enterprise applications using Java and Microservices.

- Lead architecture discussions, technical design reviews, and solution blueprints.

- Drive microservices-based application design, including service decomposition, API contracts, and integration patterns.

- Define and govern RESTful API standards and service-to-service communication.

- Work closely with product owners, business stakeholders, and development teams to translate business requirements into technical solutions.

- Provide technical leadership and mentorship to development teams.

- Ensure solutions meet non-functional requirements such as scalability, performance, availability, and security.

- Review code, architecture artifacts, and ensure adherence to best practices.

- Support DevOps, CI/CD strategy, and cloud-native adoption.

- Identify technical risks and propose mitigation strategies.

Primary Skills :

- 10+ years of proven experience in the industry, with at least 3 years as an Architect or similar role designing and developing enterprise-scale applications.

- Bachelors in engineering / technology (4 year) or master's in computer applications (2 year)

- Must possess at least 6+ years of Software development experience.

- Expert knowledge in at least one object-oriented programming language like Java, one backend framework like Spring Boot / Node JS, one UI framework like React JS / Angular JS and RDBMS or NoSQL database.

- Excellent knowledge of front-end programming languages, such as HTML, CSS, JavaScript, and AngularJS, with the ability to render server-side and client-side content.

- Helps identify newer practices and adoption of existing ones. Ensure that the code quality is maintained via own and/or peer code reviews.

- Can lead the team in delivery of backend and user interface code. Ensure that the DevOps tasks are

executed well.

- Ensure that the software has the correct level of logging & monitoring in Production and LLEs.

- Exceptional problem-solving skills.

- Excellent written and verbal communication. Must understand the client’s business requirements and translate them into software requirements. Has a view of the deliverable timeline and escalates when needed.

- Ability to articulate technical designs & develop documentation, flowcharts, layouts, diagrams, charts etc.

- Experience in implementing OMS products for retail customers will be an added advantage.

- Ability to do estimation for the given requirements.

- Ability to lead technical discussions with clients.

- Must be able to do quick proofs of concepts and demos based on client requirements.

- Provide timely feedback on the performance of team members.

- Conduct interviews & provide feedback to achieve hiring objectives.

- Contributes to organization building functions such as hiring, training, mentoring, team building.

Secondary Skills :

- Experience with Docker and Kubernetes for containerized deployments.

- Exposure to Cloud platforms such as AWS, Azure, or GCP.

- Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).

- Experience with Kafka / RabbitMQ or other messaging systems.

- Good understanding of SQL and NoSQL databases.

Basic knowledge of:

- Application security (OAuth2, JWT, TLS)

- Logging & monitoring (ELK, Prometheus, Grafana, CloudWatch, etc.)

Position Overview:

We are seeking a Node.js Developer with 1-2 years of experience to join our team. The ideal candidate should have hands-on experience in backend development, a solid understanding of JavaScript, Express.js, and familiarity with databases. You will be responsible for developing and maintaining server-side applications, collaborating with front-end teams, and ensuring optimal performance.

Key Responsibilities:

• Backend Development: Build and maintain server-side applications using Node.js and Express.js.
• API Development: Design and implement RESTful APIs to support various functionalities.
• Database Management: Work with both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Code Quality & Testing: Write clean, reusable, and testable code while following best practices.
• Performance Optimization: Optimize applications for speed and scalability.
• Troubleshooting & Debugging: Identify and resolve application issues to ensure smooth operations.
• Security Implementation: Apply basic security measures to protect applications and data.
• Collaboration: Work closely with front-end developers to integrate UI components with backend logic.

Required Qualifications:

• 1-2 years of experience in Node.js backend development.
• Strong proficiency in JavaScript and ES6+ concepts.
• Hands-on experience with Express.js or similar frameworks.
• Familiarity with front-end technologies (HTML, CSS, React/Angular is a plus).
• Experience working with databases (MySQL, PostgreSQL, MongoDB).
• Basic understanding of asynchronous programming and event-driven architecture.
• Experience with Git for version control.
• Knowledge of basic cloud services (AWS, Azure, or GCP is a plus).
• Understanding of Docker and containerization is an advantage.
• Good problem-solving skills and willingness to learn.

We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.

Key Responsibilities:

• Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
• Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
• Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
• Optimize application performance and ensure high availability and responsiveness.
• Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
• Develop RESTful APIs and ensure their quality and consistency.
• Handle integration with external systems and third-party services.
• Participate in code reviews, provide constructive feedback, and mentor junior developers.

Technical Skills Required:

• Languages: Java 8 or above
• Frameworks: Spring Boot, Spring MVC, Spring Security
• Architecture: Microservices architecture and design patterns
• Databases: MySQL/PostgreSQL, MongoDB (optional)
• Messaging: Kafka, RabbitMQ (optional)
• API Development: RESTful APIs, Swagger/OpenAPI
• Version Control: Git, GitHub/GitLab
• Tools: Maven/Gradle, Jenkins, Docker
• Testing: JUnit, Mockito
• Cloud (optional): AWS/Azure/GCP exposure
• CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes

Nice to Have:

• Experience in containerization and orchestration (Docker, Kubernetes).
• Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
• Experience with Agile methodologies (Scrum/Kanban).
• Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).

Primary Responsibilities

• Design, architect and develop advanced software solutions in a cross functional Agile team supporting multiple projects and initiatives
• Collaborate with product owners and/or the business on requirements definition, development of functional specifications, and design
• Collaborate on or lead development of technical design and specifications as required
• Code, test and document new applications as well as changes to existing system functionality and ensure successful completion
• Take on leadership roles as needed

Skills & Requirements

• Bachelor’s Degree required, preferably in Computer Science or related field
• 3+ years of software development experience using GoLang/Java programming language
• Experience with cloud technologies (AWS/Azure/GCP/Pivotal Cloud Foundry/any private cloud) and containerization is required
• Experience with a micro-services architecture is a plus
• Excellent communication, collaboration, reporting, analytical and problem solving skills
• Experience with PostgreSQL or other Relational Databases
• Test-driven development mindset and a focus on quality, scalability and performance
• Strong programming fundamentals and ability to produce high quality code
• Solid understanding of Agile (SCRUM) Development Process required