11+ IBM WebSphere Message Broker Jobs in Mumbai | IBM WebSphere Message Broker Job openings in Mumbai

Job Description 

Cateina Technologies is looking for  IBM ACE Developers 

Technical Skills 

● IBM Message Broker 

● IIB ACE 

● Kubernetes 

● Microservices 

● Docker 

● EAI and SOA architecture 

● Java 

● Web services (REST, SOAP) 

● JSON, XML 

● Database knowledge 

● Understanding of Nodes

● Basic Unix knowledge 

● Angular JS 

● Jira 

Required competencies 

● Experience in designing, developing, implementing and supporting SDLC by using IBM integration bus/IBM connect API/IBM ACE 

● Required API Banking Knowledge Banking Domain, Oracle PL SQL 16 WebSphere Message Broker IBM Integration Bus IIB 

● Sound knowledge of REST XML/JSON, WSDL, SOAP, JMS, HHTP, SSL, XSLs, XST and gateway script is required 

● Clear understanding of the IBM API Connect architecture and its components. 

● Should be clear on the concepts of different protocols (HTTP(s) etc) and RESTful services standards.

Skills 

•  Strong communication skills both written and verbal 
• Any degree 

Who can apply 

Candidates who: 

• are willing to travel to client site 
• willing to relocate to Mumbai 

Office Location 

Cateina Technologies 

Vikhroli (West), 

Mumbai, Maharashtra 400083 

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

Experience: 3-8 years

Wissen Technology is now hiring for a Java Developer - Mumbai 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. - 3-8 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 the role: We’re looking for a Node.Js Developer who can adapt to new tech stacks and innovate with cutting-edge technology solutions, to build eCommerce platforms that are unique, disruptive, and powerful.

What you'll do:
● Integrate user-facing elements developed by front-end developers with server-side logic
● Write reusable, testable, and efficient code
● Design and implement low-latency, high-availability, and performant applications
● Implement security and data protection integrations
● Integrate data storage solutions such as databases, key-value stores, blob stores, etc.
● Optimize components for maximum performance across a vast array of web-capable devices and browsers
● Ensure high performance and responsiveness to requests from the front-end.

What you'll need:
● Bachelor's degree with minimum 3 years of work experience as a Node Js.
● Strong proficiency in JavaScript or Typescript
● Understanding of Node.js and its frameworks such as Express or StrongLoop
● Understanding of the nature of asynchronous programming and its quirks and workarounds
● Basic understanding of front-end technologies, such as HTML5, and CSS3
● Understanding of accessibility, security compliance, user authentication and authorization between multiple systems, servers, and environments
● Understanding fundamental design principles behind a scalable application
● Understanding of code versioning tools, such as GIT
● Integration of multiple data sources and databases into one system
● Understanding of the differences between multiple delivery platforms, such as mobile and desktop and its optimization output
● Knowledge on creating database schemas that represent and support business processes
● Knowledge on implementing automated testing platforms and unit tests

Who Should Consider Joining:
● If you like challenges and think from a first principle basis,
● If you are driven to take ownership and are adept at rolling with the punches,
● If you have the aspiration to grow fast in the dynamic environment of a start-up,
● If you are a collaborative team member, who believes in collective success,
● If you are someone who makes objective, fact-based decisions

Who should not consider joining:
● If the role description does not excite you, then you should not join us
● We are a startup and things will move fast. If you are not comfortable in a fast-paced environment, then you should not join us
● If you are not a self-starter who is willing to learn & experiment more, then you should not join us.

What We Offer:
● Limitless growth and learning opportunities
● Exposure to cutting edge technology solutions and upcoming stacks in the market
● In house technical training on GIT, Automated Testing, Code Coverage, Language Training and much more
● A collaborative and positive culture — Your team will be as smart and driven as you.
● Guidance and mentorship from industry experts and renowned IIT Alumnus
● An opportunity to make an impact — Your work will contribute directly to our strategy and growth

NodeJS Developer - Backend

About T7E

T7E is an auto-focused mar-tech company run by a team of experienced professionals. They are well poised to solve some fundamental business challenges in the Indian automotive aftermarket, made up of an estimated 10 Lakh Mechanics, 1 Lakh retailers and over 1000 parts & consumables manufacturers. We are the only company in the market solving business challenges of mechanics & retailers by combining technology & human connect, in partnership with brands. ( http://www.t7e.in">www.t7e.in )

Experience:  3 - 7 years

Openings- Senior Software Developer

Job Location:  Mumbai ( Mulund -West )

Responsibilities

• Writing reusable, testable, and efficient code
• Coding and operating node.js based services
• Participate actively in design discussions and defining the long-term architecture of the system.
• REST ful APIs and API Communications
• Programing Language: Html5, JavaScript, Node JS, Angular JS, MySQL, MongoDB

• Hands on in application development using with NodeJs with Express framework, as the code-behind language and MariaDB(MySQL) and MongoDBas the Database data consumer

• Extensive experience in design and development of applications using Web technologies like CSS, JavaScript and HTML.

• Understanding the nature of asynchronous programming and its quirks and workarounds

• Ability to learn & develop using new technologies quickly.

Important Note - Please apply only who are with 1 Month Notice Period.

Timing - 9.30 to 6.30 - Monday to Saturday