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.

Java Developer – Job Description  

Wissen Technology is now hiring a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.  We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team.  A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consultancy.  

Required Skills:  

• Exp. - 2 to 7 years.  

• Experience in Core Java and Spring Boot.  

• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.  

• Should have the ability to analyze, design, develop and test complex, low latency client facing applications. 

• Good development experience with RDBMS.  

• Good knowledge of multi-threading and high-performance server-side development.  

• Basic working knowledge of Unix/Linux.  

• Excellent problem solving and coding skills.  

• Strong interpersonal, communication and analytical skills.  

• Should have the ability to express their design ideas and thoughts.  

 About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.  

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.  

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.  

Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.  

We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

Company Description

BeBetta is a gamified platform designed for gamers who crave excitement, engagement, and real-world rewards. By playing games and making live predictions, users earn BetCoins, which can be redeemed for tangible prizes. Our unique approach blends gaming, predictions, and rewards, driving an immersive experience that revolutionizes user engagement. We are a high-growth, data-driven, and gamified tech startup committed to innovation and impact.

The Opportunity:

BeBetta is building the future of fan engagement. To do this, we need a backend that can handle millions of concurrent users making real-time predictions during live events. This requires a shift in our technology towards systems built for massive scale and low latency.

That’s where you come in. We are looking for a Senior Backend Engineer to lead our transition to a Go-based microservices architecture. You will be the driving force behind our most critical systems—the prediction engine, the rewards ledger, the real-time data pipelines. While our roots are in Node.js, our future is in Go, and you will be instrumental in building that future.

What You'll Achieve:

• Architect our core backend in Golang: You will design and build the services that are the backbone of the BeBetta experience, ensuring they are blazingly fast and incredibly reliable.
• Solve hard concurrency problems: You'll tackle challenges unique to real-time gaming and betting, ensuring fairness and accuracy for thousands of simultaneous user actions.
• Drive technical strategy: You will own the roadmap for evolving our architecture, including the thoughtful migration of essential services from Node.js to Go.
• Elevate the engineering bar: Through mentorship, exemplary code, and architectural leadership, you will help make our entire team better.
• Ship with impact: You will see your work go live quickly, directly enhancing the experience for our growing user base.

What You'll Bring:

• A track record of building and deploying high-performance backend systems in Golang.
• Senior-level experience (4+ years) in system design, microservices, and API development.
• Pragmatic experience with Node.js and an understanding of how to manage and migrate a monolithic or service-based system.
• Deep knowledge of database principles (PostgreSQL preferred) and high-performance data access patterns (using tools like Redis).
• Expertise in modern infrastructure: Docker, Kubernetes, and a major cloud provider (GCP/AWS).
• A strong belief that testing, observability, and clean architecture are not optional.
• An innate curiosity and a passion for solving complex problems, whether they're in code or on a whiteboard.

Why You'll Love Working Here:

This isn't just another backend role. This is a chance to put your fingerprint on the foundational technology of a fast-growing company in the exciting world of sports tech and gaming. You'll have the autonomy to make big decisions and the support of a team that's all-in on the mission.

Requirements:

1.3+ years of strong programming experience with .Net Framework and .Net Core based software applications. (.NET,.NET Core, C#, ASP.Net, JavaScript framworks, Web API, MS SQL Server, Cosmos DB, Docker, Azure Cloud)

2. Strong knowledge of Microservices based Architecture, Design Patterns and Principles.(Optional) / Hands on experience on React Js /Redux (Optional)

3. Prior experience in handling application with larger volumes of data .

4. 3+ years of experience of designing high-performance enterprise software application.

5. Works with application development team to solve technical challenges with industry best practices.

6. Addresses and resolves complex technical issues with internal/external customers.

7. Design software systems with various Microsoft technologies and ensure compliance to all architecture requirements.

8. Review infrastructure for any issues and recommend solutions.

9. Very important to be good communicator and updates management team with the weekly/monthly status.

10. Analyzes enterprise system performance. Develops and implements system performance improvements.

11. Participates in development activities including code reviews, as well as coding and testing of new enhancements.

• 4+ years of professional development experience in an agile software engineering role
• Strong development skills in Java or Groovy
• Experience with Jenkins, bamboo and CI/CD environments
• Familiarity with Guice or similar dependency injection frameworks
• Familiarity with relational database technology
• Familiarity with document store database technology such as ElasticSearch or Cassandra
• Experience with design and testing of RESTful APIs
• Familiarity with cross platform development on Linux, OSX and Windows
• Strong understanding of Git version control system
• Knowledge of JavaScript (Node.js)
• Familiarity with Amazon Web Services (AWS)
• Familiarity with Docker / Kubernetes
• Experience with continuous integration and build systems such as Jenkins or Bamboo
• Experience with Jira or other project management, issue-tracking or bug-tracking tools
• Should have knowledge of RDBMS
• Familiarity with Node.js, Kotlin, Kafka, DynamoDB
• Previous experience with SaaS or cloud development, Micro-services

Roles & Responsibilities:

• Design and Build API/Micro services using Spring boot.
• Experience in Spring Reactive programming.
• Exposure to docker and containerization
• Developing enterprise grade highly scalable java-based application
• Writing test cases using Java testing framework like JUnit, Mockito.
• Proficient understanding of code version tools, such as Git, SVN
• Displaying initiative and an ability to lead others, and develop applications team disciplined manner
• Participating in application solutions including assisting with planning and architectural design, development, resolution of technical issues, and application rationalization.
• Utilizing and applying robust analytic thinking with the ability to identify, debug, and resolve technical issues.
• Achieving significant contributions within a small team of developers to lead teams and deliver solutions within an Agile methodology, whilst ensuring quality, timeliness and team-wide adherence to good architectural practice and guidelines.
• Good Experience in Application Software Design and Development, Object Oriented Analysis and Design (OOAD), Software Testing and Debugging.
• Conduct peer code reviews

• IMMEDIATE JOINEE.
• Work with other engineers to develop and test tools and applications used by team on daily basis
• Play a significant role in the ongoing evolution and refinement of current tools and applications
• Triage, troubleshoot, escalate and provide resolution to production issues.
• Reproduce, document and escalate product defects to the Engineering Team.
• Provide well-thought out and reliable direction, both in technical and non-technical terms, to help customers.
• Take ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution or escalation.
• Identify and escalate priority issues that need immediate attention.
• Collaborate with cross functional teams which requires strong presentation skills and attention to details
  
  
• BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred.
• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
• Experience with build technologies like Gradle, Jenkins will be a plus.
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.