Java Developer

Job Title : Senior Java Developer with Corticon

Experience : 5 to 8 Years

Location : Hyderabad (Work From Office)

Notice Period : Immediate to 15 Days (Official 30 Days Notice Acceptable if Negotiable to 15 Days)

Mandatory Skills : Java, Corticon, Project Management, SDLC, Problem-Solving, Analytical Thinking, Agile Methodologies.

Key Responsibilities :

• Develop and maintain scalable Java-based enterprise applications.
• Integrate and manage Corticon business rules engine within application architecture.
• Collaborate with cross-functional teams to deliver high-quality solutions on time.
• Participate in design reviews, code reviews, and performance tuning.
• Troubleshoot complex technical issues and implement appropriate solutions.

Required Qualifications :

• Bachelor’s degree in Computer Science, Engineering, or a related field (Regular Education only).
• Strong hands-on experience in Java development.
• Proven experience working with Corticon for business rules implementation.
• Excellent understanding of software development life cycle (SDLC) and Agile methodologies.
• Strong project management skills and experience in leading complex projects.
• Excellent analytical, problem-solving, and communication skills.

Note : This is an urgent hiring need. Candidates with Immediate to 15 Days of notice are highly preferred. Candidates on official 30 Days notice can also apply if flexible to join within 15 Days.

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 Description: Senior Java Developer (8+ Years Experience)

Location: Mumbai, India

Employment Type: Full-time, Hybrid mode of working

Company: Wissen Technology

Website: www.wissen.com

🚀 About Wissen Technology

Wissen Technology is a specialized technology consulting firm delivering cutting-edge solutions to global leaders in Banking & Finance, Telecom, and Healthcare. Established in 2015 and part of the Wissen Group (founded in 2000), Wissen has scaled rapidly with impressive impact and recognition.

• 🌍 Offices in US, UK, India, Australia, Mexico, and Canada
• 👥 1700+ Wissen Technology professionals; part of a 4500-strong Wissen Group
• 🏆 Great Place to Work® Certified
• 🧠 Featured as a Top 20 AI/ML Vendor (CIO Insider, 2020)
• 📈 Achieved 400% revenue growth in 5 years (with zero external funding)
• 💼 Delivered $1B+ worth of projects to 50+ Fortune 500 companies

Learn more about our work and thought leadership:

📄 Articles by Wissen | 💼 LinkedIn

About the Role

We are seeking an experienced Senior Java Developer with 8+ years of hands-on expertise in building scalable, high-performance applications. The ideal candidate will have strong fundamentals in Java, OOPS, Multithreading, Spring concepts, and SQL, and will play a key role in designing, developing, and optimizing enterprise-grade solutions.

Key Responsibilities

• Design, develop, and maintain complex applications using Core Java and Spring frameworks
• Apply advanced Object-Oriented Programming (OOPS) principles to deliver clean, modular, and reusable code
• Implement and optimize multithreaded applications for high-performance systems
• Work with SQL databases for efficient data modeling, query optimization, and integration
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
• Conduct code reviews, troubleshoot issues, and ensure adherence to best practices
• Mentor junior developers and contribute to technical knowledge sharing within the team
• Ensure application scalability, performance tuning, and security compliance

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
• 8+ years of professional experience in Java development
• Strong expertise in Core Java, OOPS, and Multithreading
• Hands-on experience with Spring concepts (Spring Core, Spring MVC, Spring Boot preferred)
• Proficiency in SQL and database design (MySQL, Oracle, PostgreSQL, etc.)
• Solid understanding of software development life cycle (SDLC) and Agile methodologies
• Strong analytical, problem-solving, and communication skills

🌟 Why Wissen?

Join a company that combines start-up agility with enterprise stability. Work alongside some of the brightest minds from institutions like MIT, Wharton, IITs, IIMs, and NITs. Be part of mission-critical projects for Fortune 500 giants, and grow in a culture that invests in your future.

Role Overview

The Senior Adobe Experience Manager (AEM) Developer will lead the design, development, and maintenance of Government of Rajasthan’s portal websites built on the AEM platform. This role involves leading technical solutions, performance optimization, security compliance, and guiding the development team.

Key Responsibilities

• Lead the design and development of complex components and templates in Adobe Experience Manager (AEM).
• Manage AEM configurations, workflows, and permissions for multiple portals.
• Develop and integrate custom OSGi bundles, Sling models, and components.
• Ensure performance tuning, caching strategies, and scalability of AEM solutions.
• Handle dispatcher configuration and optimization for content delivery.
• Collaborate with architects and project managers for solution design.
• Ensure compliance with Safe-to-Host and OWASP security standards.
• Mentor junior developers and review their code for quality.
• Integrate with third-party services (Payment Gateway, SMS Gateway, etc.).
• Manage version control (Git) and deployment pipelines (Jenkins).

Required Skills

• 5+ years of experience in Adobe Experience Manager (AEM 6.3 or above).
• Strong expertise in Java/J2EE, OSGi, Apache Sling, JCR (Jackrabbit Oak).
• Hands-on experience with HTL (Sightly), HTML5, CSS3, JavaScript, jQuery.
• Good understanding of Dispatcher, Apache HTTP Server, and performance tuning.
• Knowledge of REST/SOAP APIs and system integration.
• Familiarity with Git, CI/CD tools (Jenkins).
• Excellent problem-solving and team leadership skills.

Preferred Certifications

Adobe Certified Expert (AEM Sites Developer or Architect).

Minimum Requirements

• 8+ years development experience
• Solid Experience and knowledge of

• Coding and debugging using Object Oriented languages like Java, C++, Go or similar languages.
• Database design, Query optimizations, pitfalls (both SQL, NoSQL)
• Developing Scalable, distributed systems and patterns
• Developing REST and/or GraphQL based APIs
• Writing and driving Clean code in a team (via SOLID principles).
• Knowledge of writing unit tests
• NodeJS

• Experience with GoLang/Python
• Experience with Microservices, designs and patterns
• Experience with Dockers/Kubernetes and orchestration
• Familiarity with    Reactive    programming    and patterns like RxJs/RxJava, CQRS, Eventing systems
• Experience with automating DevOps lifecycle
• Proficiency with

• Work with Product team and Drive design, development and deployment of the overall architecture and individual modules to support our Apps , website and internal tools
• Ensure the entire stack is designed and built for availability, speed, scalability, testability, debugging
• Design and development of our REST and GraphQL API
• implement and improve continuous integration and deployment
• Serve as a technical lead for the team
• Mentor team members

·What You will do

● Create beautiful software experiences for our clients using design thinking, lean and agile methodology.

● Work on world-class software products using the latest cutting edge technologies and platforms.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Work in collaborative, fast-paced and value-driven teams to build innovative customer experiences for our clients.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications

● Experience: 4+ years.

● Hands-on development experience in backend, Java, SprintBoot, Hibernate, SQL, MongoDB, Jenkins, Microservices etc...

● Server-side development experience mainly in JAVA.

● Passion for software engineering and follow the best coding concepts. ● Good to great problem solving and communication skills.

● Experience in working with cross-border, distributed teams is a must.

Nice to have Qualifications

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with large-scale enterprise systems

Desired Experience

3+ years

Job Description

What You’ll Do

• Design financial systems for scale. Measure, plan, iterate.
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
• The tech: Go, Google Cloud Spanner, Kafka, Redis

What you bring to the table

• 3+ years of experience. Relevant experience is preferred.
• Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
• Comfortable in linux command line, AWS or GCP
• Strong unit test and debugging skills
• Great communication skills

Bonus if you have…

• Love building great products and engineering systems from scratch
• Are a Self-starter, Hustler and Curious to Learn
• Have an understanding of fundamental design principles behind a scalable application
• Thrive in an early-stage startup environment with less stability and more ambiguity
• Have an interest in financial products and/or cryptocurrency

Are you a high-performing, collaborative, results-oriented and technologically savvy person who is keen on sales in the digital industry? Then this highly visible role is for you!

Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories, and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen the doctor-patient relationship and enhance the in-clinic experience.

As the Sr. Java Developer, you will be responsible for developing cutting edge health-tech applications that include high scale transaction processing, intelligent bot-based programs, and data analytics

What you will do:

• Building components for the companys advanced health-tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively

What you need to have:

• Development & maintenance of Cleartrip’s product lines
• Involved in entire lifecycle including analysis, development, fixing, and monitoring of issues on the assigned Cleartrip product lines
• Unit test cases – Review and writing

• 2+ years of Product Development experience
• Java, Spring Framework preferred
• Solid experience with databases (Oracle/MySQL) – a must
• Excellent OO and design skills
• Experience with Test Driven Development within a continuous Integration environment (Lunt, CruiseControl, etc)

• BE/B.Tech Computer Science Personality Traits/Attributes:
• Excellent communication skills
• Excellent interpersonal skills – team player & desires to works closely with teammates, QA & product teams
• Problem-solving skills – Ability to research, analyze & find solutions independently.