Java Developer AI

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.

Strong Java Backend Engineer.

Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)

Mandatory (Experience 2): Must have been a SDE-3 or SDE-2 for at least 2.5 years in a Decacorn(title should be there in resume)

Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture

Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming

Mandatory (Tech skill 3): Experience with relational and NoSQL databases

Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached

Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes

Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices

Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling

Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)

Mandatory (Company) - Top New Age, Fast-scaled, Tech-First Product Companies (Like Series B+ / Unicorn Indian startups, or Tech-first Global companies like Amazon, Google, Microsoft etc)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note): Education can be ignored for candidates with proven experience in strong, reputed product companies

Role: Java Developer

Overall: 4 to 8 Years

Location: Chennai

Notice: Immediate to short joiners

Job Description:

We are looking for a skilled and enthusiastic Java Developer to join our team in Chennai. The ideal candidate should have strong hands-on experience in Java development with a focus on backend frameworks such as Spring Boot and Hibernate. If you’re passionate about clean code, scalable applications, and delivering robust software solutions—this is the role for you.

Key Responsibilities:

• Design, develop, test, and maintain backend applications using Java, Spring Boot, and Hibernate.
• Write efficient, scalable, and reusable code.
• Participate in design discussions, code reviews, and deliver high-quality software.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Troubleshoot, debug, and upgrade existing systems.
• Ensure best practices in software development and Agile methodologies.

Required Skills:

• Strong proficiency in Core Java (Java 8 or above).
• Hands-on experience with Spring Boot and Hibernate.
• Proficient in working with RESTful APIs and Web Services.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with version control tools like Git.
• Knowledge of software development lifecycle and Agile practices.

Java back end developer

Chennai  

3+yrs

3 to 5 years Java,

Sprint Boot, Hibernate,

REST API Design Patterns SQL,

Oracle,

Table design

Job Description: Core Java Developer

Company: Mobile Programming LLC

Location: Pune (Remote work available)

Salary: Up to 16 LPA

Position: Core Java Developer

Responsibilities:

• Design, develop, and maintain Java-based applications using Core Java and Spring Boot frameworks.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Conduct code reviews and troubleshoot/debug complex issues.
• Optimize application performance and stay updated with industry trends.

Requirements:

• Minimum 6 years of hands-on Core Java development experience.
• Strong proficiency in Spring Boot framework.
• Solid understanding of OOP principles, web development (HTML/CSS/JavaScript), RESTful web services, and SQL.
• Experience with Git and problem-solving skills.
• Excellent communication skills and ability to work independently and as part of a team.
• Bachelor's or Master's degree in Computer Science or a related field.

Note: Immediate joiners required. Please include your resume and relevant code samples/projects when applying.

Roles and Responsibilities:
 

Mandatory Skills: 

•  Teamcenter Customization related to ITK, RAC, Active Workspace 
• Strong in programming skills like C, C++, Java & OOPS concepts 
• BMIDE Codeful and codeless customization 
• Teamcenter SOA development 
• TC Configuration e.g., Preferences, ACL, Style sheets etc. 
• Good exposure to Teamcenter data model, Architecture, BMIDE etc., 

What we are looking for: 

• Strong in programming skills like C, C++, Java & OOPS concepts 
• Should have strong knowledge in ITK and should be able to write Handlers, Extension, Scripts and programs 
• Should have good knowledge in RAC, Active workspace customization 
• Should have good knowledge in Workflows, BMIDE, Preferences, Stylesheets, Access Rules, Query Builder, Project etc 
• Should have strong technical capabilities and functional knowledge in multiple PLM Modules. 
• Should have very good understanding of Teamcenter Data Model 

About us:-

Zupee is India's hottest Real Money Gaming Platform

With in 1 yr of start, we just had an initial team of around 30 people, these 30 were successful to bring 10 Million+ users and an overall consumer spend of 1.5 Billion USD on the platform, the journey which needed years to be covered was covered with in 1yr. As we speak today, Zupee has been profitable for almost an year now and has ended the year 2020 with a team size of 70+ and over all growth rate was mapped around 20X.

Our user base has significantly gone up and we have invested highly in technology and have got best in class tech stack, it's time to add the backend developers who can help us scale up the platform so that we can drive profitable growth and become the market leader in our space.

Backend Developer :- (3 - 12 yrs)

What You'll Need?

• Knowledge of languages (JavaScript, Python) and frameworks/systems (nodejs)
• Strong analytical skills and aptitude
• Understanding of data architecture, software design and best coding practices
• Understanding of TCP/IP networking concepts and technologies
• Ability to learn new languages and technologies
• Experience with databases (both SQL and NoSQL)
• Familiarity with Agile development methodologies
• Working knowledge of Linux

Senior Software Development Engineer - Chennai  

Who we are?  

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.  

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.  

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.  

To know more about Kaleidofin, do visit our site https://kaleidofin.com/  

What You’ll Do?  

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:  

• Lead design and development of products working closely with business team 
• Independently own software components and co-own entire applications with a small group of fellow developers 
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance 
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel 

• Establish strong engineering best practices and champion their adoption 

Who You Need To Be? 
 

• 4+ years’ experience in software product development and delivery 
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).  
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 
 

• All experience should be from good product development or e-commerce background. 
• Able to take ownership of working with atleast one of mobile or web app teams for complete integration with backend 
• Must have shown good stability in all your previous associations.  
• Skill set 

• Have strong backend knowledge and cloud development exposure 

• Proficiency in Java, Spring boot, Hibernate, REST API development 
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus. 
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place. 
• Writing high quality code which is made better by unit tests and integration tests is how you work 
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few 

• Knowledge of test driven development and AWS tech stack will be a good plus