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.

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

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,

Roles & Responsibilities JOB TITLE: AEM Developer - Senior

RESPONSIBILITIES:

1. Participation in software development and maintenance

processes as per quality requirements, procedures and best

practices applicable.

2. Implementing, optimizing and supervising efficiency of IT

systems in accordance with specific standards, resolution or

escalation of problems, as appropriate.

3. Drawing up technical documentation.

4. Developing knowledge in scope of information technology used.

5. Developing knowledge in scope of best practices and standards

of creating software.

6. Developing soft skills in scope of effective communication and

efficient teamwork, solution presentation and knowledge sharing.

7. Interpreting business cases, preparing specifications and

analyzing functional and technical requirements.

8. Designing solutions and creating documentation, estimating

individual scope of works and time consumption of works.

9. Within the team and project/services, proactively identifying

problems and proposing measures to increase the level of services.

10. Developing knowledge in scope of information technology

used.

11. Developing knowledge in scope of best practices and standards

of creating software.

12. Spreading the knowledge throughout the organization by

educating and supporting less experienced Specialists.

13. Maintaining industry standards and practices in projects.

14. Performing tasks assigned by the superior.

PROFESSIONAL EXPERIENCE& TECHNICAL SKILLS

1. Minimum 3 years of experience in work related to CQ/AEM

development.

2. Minimum 5 years of experience in work related to Java

development in IT sector.

SOFT SKILLS:

1. Independence in performance of tasks assigned.

2. Team and end user communications skills.

3. Skills to acquire knowledge and put it in practice.

4. Work time estimation based on functional or technical

requirements.

5. Recommending employment in the case of reviewing technical

knowledge of candidates in recruitment process.

6. Work time estimation.

7. Designing and supervising implementation of solutions.

SPECIAL QUALIFICATIONS: Nice to have: AEM 6 Developer

certification

Skills Primary Skills –

1. AEM including Sling Models

2. Apache Sling

3. JCR

4. Sightly (must)

Secondary Skills –

1. OSGi (Apache Felix),

2. Java, JavaEE (Servlet, Filter, JSP)

3. Git

4. Junit

5. Maven

6. REST

7. Object Oriented Design Patterns, Basic HTML + JavaScript

Experience Total Experience – 4-6 years

Relevant Experience – 4-6 years

Qualification Required to perform the

Job (Any Certifications if Needed)

Bachelor’s in information technology or equivalent qualifications.

Neokred is a FinTech company based in Bangalore and an ISO 9001 | 27001 & 20000-1 and PCIDSS certified firm in Information and Data security. The company builds Consumer Tech for Financial Infrastructure stack to provide curated versions of embedded banking in the payment ecosystem. We've created a platform which enables Corporates, Banks, FinTech’s, Retail Companies, and Start-ups to launch their own banking services or financial products, such as issuance of co-branded cards, facilitating lending, and virtual bank accounts and KYC for their customers or employees with the help of low code plug and play technology stack.

BRIEF DESCRIPTION OF THE ROLE:

We are looking for an analytical, result driven Senior Java Developer who will use his or her understanding of programming languages and tools to build and analyse codes, formulate more efficient processes, solve problems, and create more seamless experience for users. 

Your KRAs will include the following:

• You will design, build, and own APIs and Services, which will be the core of the product.
• You will participate in continuing education and training to remain current on best practices, learn new programming languages and better assist other team members.
• You will part of developing ideas for new programs, products or features by monitoring industry developments and trends.
• You will have to take lead on projects, compile and analyse data, processes, and codes to troubleshoot problems and identify areas of improvement. 

YOU SHOULD POSSESS: 

• Minimum 4+ years of experience with Proficient understanding of Java, Hibernate, Springboot.
• luency in JAVA, Operating System may be required and Experience on Database such as MySQL or Postgre SQL.
• Proficiency with Springboot, Spring Security and Hibernate.
• Strong understanding of Computer Science Fundamentals, Data Structures and Algorithms, SOLID Design Principles and REST Patterns.
• Focus on efficiency, user experience and process improvement. • Excellent project and time management skills.
• Strong problem solving and communication skills.
• Ability to work independently or with a group. 

What we are scouting for

• BS/MS in computer science or equivalent work experience in IT
• 2+ years’ experience designing and developing applications using Java EE platforms
• A strong hands-on programming knowledge in Core Java including Java 8. To solve the problem given in optimized way.
• Strong knowledge on the Data structure and algorithm.
• Experience developing and designing API integrations using SOAP/RESTful
• Should be able to understand the time complexity of the existing algorithm. Able to compare different algorithms available.
• Expert understanding of the object-oriented design and programming concepts
• Know the fundamentals of Object-Oriented Programming using Java;
• Used SQL & NoSQL solutions
• Experience in GIT/SVN, build tools such as Ant/Maven/Gradle
• Experience in JUnit, Sonarqube, Mockito, Jacoco, Maven & Jenkins

Technical Competency – Nice to have

• Experience in Dependency Injection, Annotation, Validations, Auto Wiring
• Good knowledge in internal working on Memory Management, Transaction management
• Knowledge on DevOps pipeline tools like Jenkins, tools for Code quality scan, tools for security scan
• Spring boot
• Spring MVC
• Any Java Certification

Behavioural Competency

• Strong interpersonal communication skills
• Ability to lead self and team toward common goals
• Excellent oral and written communication, presentation, and analytical skills
• Excellence in technical communication with peers and non-technical cohorts

What you will be doing

• As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building performance efficient payment authorization services that are highly scalable, configurable and available
• You’ll work in an Agile environment with a focus on problem solving and engineering excellence.
• Worked independently and as a member of a team, determined to make active contributions to the assigned Team
• Flexible and adaptable approach to the roles assigned to you
• Ability to coordinate and prioritize tasks, and work in a fast paced and challenging environment
• Deliver on time under dynamics with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards
• Make a large impact on the design, architecture, and implementation of cutting edge products
• Work with other team members to investigate design approaches, prototype new technology

and evaluate technical feasibility

• Work in an Agile/Scrum environment to deliver high quality software
• Establish architectural principles, select design patterns and then mentor team members on their appropriate application

• Design, develop, test, debug and maintain components of a feature-rich management and orchestration product
• Manage one or more project priorities and deadlines
• The programming languages are mainly Python and Java
• Understand the infrastructure details of public clouds and use DevOps best practices to implement provisioning

You'll Need:

• Strong software design and implementation skills in building infrastructure frameworks.
• Experience building and operating extensible, scalable resilient systems.
• Working knowledge of Java and Python.
• Solid understanding of basic systems operations (disk, network, etc).
• Willingness and ability to learn new languages and concepts.
• 8+ years of experience and a BS/MS degree in Computer Science -or- a related field.

Nice to have:

• Cloud infrastructure systems engineering experience.
• Experience in building control planes.
• Experience building RESTful APIs.
• Experience with containers and cluster managers like Kubernetes.
• Experience in App deployment and config management frameworks such as Ansible, Terraform, Chef, Puppet, etc.