Product Engineer - Java

Job Title : Senior Software Engineer

Location : Gurugram (Full-time)

Job Description :

• We are looking for a skilled and experienced Java Engineer to join our dynamic team.
• The ideal candidate will have 4 to 10 Years of hands-on experience in software development, with a proven experience as Java Developer with a strong focus on Spring and Spring Boot, Relational Databases and AWS technologies.
• Strong understanding of monolithic & microservices architecture. You will play a crucial role in designing, developing, and maintaining our applications.
• Ensuring their performance, quality and responsiveness.

Key Responsibilities :

● Design, develop, and maintain scalable applications using Java, Spring and Spring Boot.

● Develop and manage relational databases. Should be able to write complex SQL queries.

● Ensure the best possible performance, quality, and responsiveness of the applications.

● Have strong debugging skills to identify bottlenecks and bugs, and devise solutions to mitigate and address these issues.

● Deploy, manage, and scale applications on AWS.

● Conduct code reviews and integration testing to ensure software quality and reliability.

● Collaborate with front-end developers to integrate user-facing elements with server-side logic.

● Collaborate with cross-functional teams to define, design, and ship new features.

● Stay updated with emerging technologies and industry trends.

Qualifications :

● Bachelor’s degree in Computer Science, Information Technology, or a related field.

● 4 to 10 Years of experience in software development.

● Proficient in Java 8+, Spring and Spring Boot.

● Experience with PostgreSQL, MySQL or other relational databases.

● Experience with microservices architecture.

● Understanding of Rest API design and development.

● Hands on experience with Unit Testing frameworks such as Junit, Mockito.

● Experience with version control systems such as Git.

● Solid understanding of object-oriented programming.

● Strong problem-solving skills and attention to detail.

● Excellent communication and teamwork skills.

Preferred Qualifications :

● Strong knowledge of AWS services and best practices.

● Knowledge of containerization technologies like Docker and Kubernetes.

● Familiarity with CI/CD pipelines and DevOps practices.

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.

• Build campaign generation services which can send app notifications at a speed of 10 million a minute
• Dashboards to show Real time key performance indicators to clients
• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
• Building highly available & horizontally scalable platform services for ever growing data
• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
• You will build backend services and APIs to create scalable engineering systems.
• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
• Identify and improvise areas of improvement through data insights and research.

• 2-5 years of experience in backend development and must have worked on Java/shell/Perl/python scripting.
• Solid understanding of engineering best practices, continuous integration, and incremental delivery.
• Strong analytical skills, debugging and troubleshooting skills, product line analysis.
• Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc).
• Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA.
• Ability to design application modules using various concepts like object oriented, multi-threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc.
• Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra.
• Knowledge about versioning like Git and deployment processes like CICD.

Job Description – Senior Java Developer (Spring Boot / Microservices)

Location: Chennai, India

Experience: 4+ Years

Availability: Immediate Joiner

About the Role:

We are looking for a highly skilled Java Developer with over 5 years of hands-on experience in building scalable backend systems using Java, Spring Boot, and Microservices architecture. The ideal candidate will have strong problem-solving skills, deep knowledge of backend frameworks, and a solid understanding of JUnit-based testing.

Key Responsibilities:

• Design, develop, and maintain high-performance backend systems using Java and Spring Boot
• Develop and deploy RESTful microservices in a distributed architecture
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, scalable, and testable code following best practices
• Implement unit and integration tests using JUnit and other testing frameworks
• Participate in code reviews and contribute to improving team processes
• Troubleshoot and resolve production issues in a timely manner

Key Skills:

• Strong proficiency in Java
• Expertise in Spring Boot and related modules (Spring Data, Spring Security, etc.)
• Solid understanding of Microservices architecture, REST APIs, and inter-service communication
• Experience with JUnit and writing automated test cases
• Familiarity with CI/CD pipelines and version control (Git)
• Knowledge of containerization (Docker, Kubernetes) is a plus
• Exposure to messaging systems like Kafka or RabbitMQ is a plus
• Familiarity with databases (SQL/NoSQL)

Experience of atleast 9 + years in developing Java Solutions and Architecture

Mandatory Experience of working on AWS, Microservices architecture, Dockers, Kubernetes

Experience in creating architecture for Cloud Applications in AWS

Should have worked on large scale Saas application for atleast 3 years

Knowledge and experience in any of the following

Javascript, AngularJS, Python, Ruby, PHP

Driving DevOps best practices by using Docker, Kubernetes.

Excellent interpersonal, verbal and written communication skills

Location Chennai, Bengaluru, Hyderabad,

Required skills:-

• 2+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Must-Have Technology Skills:

• OOP Concept, Java 8+, Spring Boot, API development, Agile Scrum knowledge, Strong Databases design concepts of RDBMS, and capable of writing and optimizing complex queries.
  Good understanding of any Database tool e.g. Postgres, MySQL, etc.,
• DevOps basic knowledge e.g. implementation of logging in the code, Application Performance Management.
• Basic API & Application security, and Basics of tuning application performance.
• Basic Understanding of DevOps concepts e.g. CI & CD, Deployment lifecycle, Basic understanding of unit testing concepts e.g. TDD (test-driven development).
• A basic understanding of Microservices patterns
• A basic understanding of Java scripting.
• Good understanding of UI Frameworks like Angular 8+

Must-Have Soft Skills:

• Verbal & Written English communication, Good Problem-solving skills,
• Good Planning skills,
• Team Player,
• Good leadership skills
• Good written and verbal communication

Job Description

• Good experience as a full-stack developer in DB-centric applications and should be able to write and optimize complex database queries
• Requirement gathering & understanding, effort estimation, technical design, project planning, and monitoring in an Agile environment.
• Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks.
• Providing expertise in technical analysis and solving technical issues during project delivery.
• Customer interfacing - understand customer requirements, and propose technical solutions.
• Full Software Development Lifecycle (Agile).
• Code reviews, test case reviews and ensure code developed meets the requirements.
• Component Design/ Coding/ Unit Testing/ Debugging / Test Driven Development / Continuous Integration.
• Carry out adaptive changes necessitated by changes in Business Requirements and Technology

Java, J2EE, Spring Boot, REST services, PostgreSQL

Experience with Elastic Search or any NoSQL DB is preferable