11+ Infrastructure architecture Jobs in Mumbai | Infrastructure architecture Job openings in Mumbai

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

Job Title: Java Developer

Location: Mumbai

Job Type: Full-Time 

Experience Level: 4- 8 years

Job Overview:

We are looking for a highly skilled Java Developer to join our development team. As a Java Developer, you will be responsible for designing, developing, and maintaining robust Java applications that meet high standards of performance and reliability. The ideal candidate will have strong analytical skills, excellent problem-solving capabilities, and a deep understanding of Java and its ecosystem.

Key Responsibilities:

• Design, develop, and maintain reliable Java applications.
• Collaborate with cross-functional teams to analyze requirements and translate them into technical solutions.
• Write clean, efficient, and scalable code.
• Develop and integrate APIs and web services.
• Conduct software analysis, testing, and debugging.
• Optimize application performance, scalability, and security.
• Participate in code reviews and contribute to best practices.

Required Skills:

• Proficiency in Java and Java EE (Enterprise Edition).
• Strong understanding of Object-Oriented Programming (OOP) concepts.
• Experience with Spring Framework (Spring Boot, Spring MVC) and Hibernate.
• Familiarity with RESTful API design and development.
• Knowledge of SQL and database management systems like MySQL, PostgreSQL, or Oracle.
• Experience with version control systems like Git.
• Familiarity with build tools like Maven or Gradle.
• Solid understanding of application security, data protection, and performance optimization.

Greetings!

Wissen Technology is hiring for Java developers/Lead.

Required Skillset

• 6+ years of industrial experience
• Java and related frameworks.
• Experience in Core Java 1.8 and above, Data Structures, OOPS, Multithreading, Microservices, Spring and Swift Payments
• Exposure on Fintech domain is mandatory
• Should have the ability to analyse, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high volume server side development
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.

Company Profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Bangalore

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: https://www.linkedin.com/company/wissen-technology

Desired Candidate Profile

• A team focus with strong collaboration and communication skills
• Exceptional ability to quickly grasp high-level business goals, derive requirements, and translate them into effective technical solutions
• Exceptional object-oriented thinking, design and programming skills (Java 8 or 11)
• Expertise with the following technologies : Data Structures, Design Patterns ,Code Versioning Tools(Github/bitbucket/..), XML, JSON, Spring Batch Restful, Spring Cloud, Grafana(Knowledge/Experience), Kafka, Spring Boot, Microservices, DB/NoSQL, Docker, Kubernetes, AWS/GCP, Architecture design (Patterns) Agile, JIRA.
• Penchant toward self-motivation and continuous improvement; these words should describe you: dedicated, energetic, curious, conscientious, and flexible.

Collaborate with clients and internal teams to develop appropriate solutions

• Brainstorm with team members and prove the ability to think on the fly.

Requirements

• Core Java

• Spring Boot, Spring Rest, Spring Data

• Testing framework - Junit, Mockito

• Experience in deploying applications on one of public cloud preferably Microsoft Azure. (Other

- AWS or Google Cloud)

• Experience in one of messaging platform preferably Kafka (Other - Rabbitmq or Active MQ)

• Docker

• Kubernetes

• Others – Linux, Git, Maven, CI/CD pipeline

• Experience in working with Agile teams

Good To Have

• Git (6+ years of experience)

• Develop test cases, conduct SIT, load test, and tune the performance of systems to meet

acceptance criteria.

• Perform and manage stages of the SCRUM and participate in the systems review with Project

Lead/Manager.

• Experience in the development of cloud-native applications is an added advantage.

• Experience working in Agile teams

What We Offer

• National and International Business Trips (if there is an opportunity)

• Culture of Knowledge Sharing and Training

• Modern & lively working environment

• Opportunity to write books, participate in conferences

• International assignment

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications