11+ J2SE Jobs in Mumbai | J2SE Job openings in Mumbai

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 Title: Java Developer

Java Developer – Job Description Wissen Technology is now hiring for 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 consulting.

 Required Skills: • Exp. - 1 to 3 years.

Wissen Technology is hiring Java + Scala Developers with 1–3 years of experience. We are looking for candidates with strong hands-on skills in Java and Scala, good analytical abilities, and the capability to work in a dynamic environment.

Key Requirements:

• Experience in Java and Scala
• Strong understanding of core programming concepts
• Good problem-solving and debugging skills
• Must be available for immediate joining
• Should be open to face-to-face interviews in Bangalore or Mumbai

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 the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen hassuccessfully 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.

Profile- Java Developer

Experience– 4 to 7 Years

Skills Required - Java, Spring Boot, Hibernate, Microservices, Design Patter, JUnit, Mockito

Roles & Responsibilities -

• Experience in Java, J2EE, and Java 8 Features
• Experience in Java frameworks such as Spring, Hibernate.
• Experience in Microservices Architecture.
• Expertise in designing and implementing RESTful APIs.
• Familiarity with build tools such as Ant, Maven, and Gradle
• Proficient understanding of code versioning tools, such as Git
• Familiarity with Agile methodologies and Scrum framework.
• Sound knowledge of Oops programming
• Basic knowledge of any cloud and CI/CD Tools

Responsibilities:

• Work with product owners, managers, and customers to explore requirements and translate use-cases into functional requirements.
• Collaborate with cross-functional teams and architects to design, develop, test, and deploy web applications using ASP. NETCore | Open-source web framework for. NET, . NET Core, and C#.
• Build scalable, reliable, clean code and unit tests for. NET applications.
• Help maintain code quality, organization, and automation by performing code reviews, refactoring, and unit testing.
• Develop integration with third-party APIs and external applications to deliver robust and scalable applications.
• Maintain services, enhance, optimize, and upgrade existing systems.
• Contribute to architectural and design discussions and document design decisions.
• Effectively participate in planning meetings, retrospectives, daily stand-ups, and other meetings as part of the software development process.
• Contribute to the continuous improvement of development processes and practices.
• Resolve production issues, participate in production incident analysis by conducting effective troubleshooting and RCA within the SLA.
• Work with Operations teams on product deployment, issue resolution, and support.
• Mentor junior developers and assist in their professional growth. Stay updated with the latest technologies and best practices.

Requirements:

• 5+ years of experience with proficiency in C# language.
• Bachelor's or master's degree in computer science or a related field.
• Good working experience in. NET Framework, . NET Core, and ASP. NETCore | Open-source web framework for. NET and C#.
• Good understanding of OOP and design patterns - SOLID, Integration, REST, Micro-services, and cloud-native designs.
• Understanding of fundamental design principles behind building and scaling distributed applications.
• Knack for writing clean, readable, reusable, and testable C# code.
• Strong knowledge of data structures and collections in C#.
• Good knowledge of front-end development languages, including JavaScript, HTML5 and CSS.
• Experience in designing relational DB schema, PL/SQL queries performance tuning.
• Experience in working in an Agile environment following Scrum/SAFE methodologies.
• Knowledge of CI/CD, DevOps, containers, and automation frameworks.
• Experience in developing and deploying on at least one cloud environment.
• Excellent problem-solving, communication, and collaboration skills.
• Ability to work independently and effectively in a fast-paced environment.

Position Requirements

• Expert in front-end development using Javascript, CSS, and Java.

• Hands-on experience in Java, J2EE, Hibernate, Springboot.

• Deep knowledge & working experience with Database, JSP, Javascript frameworks.

Technical Skills

• 4 years of experience in the software industry experience.

• Strong self-initiative to strive for both personal & technical excellence.

• Coordinate efforts across the Product development team and Business Analyst team.

• Strong business and data analysis skills.

• Should be strong on coordinating with onshore resources on the development.

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

• Degree in computer science.
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
• Proficiency with server-side languages such as Python, Ruby, Java, PHP, and .Net.
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

Work Location:Mumbai,Gurgoan,Indore,Bangalore,Hyderabad

• J2EE
• Web services
• JSON
• JSP Servlet
• Exception handling
• Multithreading
• Rest API
• Microservices

Headquartered in Silicon Valley, Gupshup is a global leader in cloud messaging, enabling businesses to build engaging conversational experiences, seamlessly across 30+ messaging channels, using a globally available cloud API.

Gupshup handles over 4.5 billion messages per month and has processed over 225 billion messages, enabling over 36,000 businesses to engage nearly a billion users across channels including SMS, WhatsApp, Facebook Messenger, Twitter, WeChat, Viber, Slack, Android RCS, Mobile App and Mobile Web.

Gupshup offers a comprehensive product portfolio that includes an easy to use omni-channel messaging API, advanced bot building platform and mobile marketing tools. Gupshup has also forged strategic partnerships with Facebook, WhatsApp, Google and Cisco to offer innovative mobile messaging solutions with broad reach.

You could log on to https://www.gupshup.io/developer/home">https://www.gupshup.io/developer/home for more information.

Location: Mumbai (Goregaon East )

Roles and Responsibilities:

• Experienced in Java and associated technologies.
• Should have worked with highly scalable web applications
• Good debugging capability
• Should be able to search through logs on server and narrow down to root cause of functional issue from stack trace or performance issue from logs of latency of different components.
• Product development experience in agile environment will be a big plus though not mandatory.
• Highly Tech Savvy and hands-on. Good exposure into design patterns
• Good understanding of OOPS concepts.
• Experience of working with open source technology and tools.

Regards,
Tina Dsouza