Job Type: Full-time
Job Summary: Adobe Experience Manager (AEM) Architects are a crucial part of our team. They bring the experience designs to fruition to achieve the business goals of the organization. As an AEM Architect, in this role it's important to step back and look at the big picture to see how the solution fits with the overall vision. Our AEM Architects working with our clients, as the go-to person collaborating with top-notch engineers to create and bring the experience into the real world for their customers/users.
Requirements for this role include:
• Ideal candidate shall possess extensive Adobe Experience Manager (AEM) development experience with strong Java/J2EE background
• 10 to 12 years of IT experience with at least 4 years of experience in AEM
• Understand the business, current and envisaged business and IT models, be a part of the core group of architects to
execute tactical and strategic initiatives
• Strong understanding of the AEM platform, architecture and infrastructure setup, management and performance
optimization to include Apache Sling, Apache Felix (OSGi) and the various implementations of the Java
Content Repository (JCR)
• Hands on experience and well versed in template/components/workflows, Sling API’s and integration of AEM
with other systems like Single Sign-On (SSO)
• Experienced back-end and web service developer
• Strong understanding CMS platform, architecture and infrastructure setup, management and integrations with
SSO, other J2EE implementations is highly preferred
• Candidate with a strong background in implementation of large Web Content Management Systems (CMS) is
highly preferred
• Experience with other offerings under Adobe Marketing cloud such as Adobe Analytics, Target, Campaign is a
plus
• Excellent communication skills both spoken and written with effective stakeholder management skills is expected • Ability to mentor, handle and work collaboratively with development, quality and user experience teams is highly
preferred
• Ability to support deployment of applications to the various environments using DevOps tools and methodologies • Conversant with communicating and leading globally diversified teams across time zones and Agile centric
delivery models is a plus
• Strong problem-solving skills and the abilities to analyse quantitatively, scope technical requirements and
effectively architect solutions with appropriate tools is essential Qualifications:
Education and Experience requirements include:
• At least a Bachelor's Degree in Engineering, Science, Math or Business
• Experience with implementing Web Content Management Systems on a large scale is required • Ability to create architecture diagrams using tools like Visio or other modern tools
• Effectively use services and APIs, key customizations and extensions of the systems
• Work collaboratively with other application teams
• Work with globally diversified team in different time zones
• Guide & mentor other team members
• Work on more than one project simultaneously
• Self-starter with excellent written and verbal communication skills

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- 3+ years experience in practical implementation and deployment of ML based systems preferred.
- BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
- Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
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- Experience in developing and deploying on cloud (AWS or Google or Azure)
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Shift: 11 am to 8 pm
Hands on skills on the following technologies:
- Kafka Streams
- CassandraDB
- MS SQL SERVER
- Liquibase
- Maven, GIT, JUNITS
Mandatory skills:
- Java 17
- Spring Boot
- Spring Cloud
- Spring JPA
- Apache Kafka
- Microservices
Profile Requirements:
- Excellent working knowledge of Node.js and associated frameworks such as Express, Angular.JS and React.JS
- Good knowledge of databases like SQL/No-SQL
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- Good in Data Structure and algorithms
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Understanding accessibility and security compliance {Depending on the specific project}
- User authentication and authorization between multiple systems, servers, and environments
- Integration of multiple data sources and databases into one system
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Responsibilities and Duties:
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- Integration of data storage solutions may include databases, key-value stores, blob stores, etc.
Educational Qualification Required:
· B.Tech/M.Tech preferable in IT/computer science Background
Job Description
Frontend/Sr Frontend Developer
About company:-
It is a mission-oriented early-stage fin-tech startup which is building a suite of carefully tailored financial products and delivery mechanisms to fulfill the aspirations and needs of middle-income households in urban India. It was started by three cofounders, who have a pedigreed education background (IIT/IIM) and relevant professional experience in financial services. More importantly, they come from a similar background as the customer segment they are serving, and have done extensive customer research to understands the needs of the customer. It is backed by high-quality investors to realise this mission.
Responsibilities:-
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devices and browsers
- Focus on code maintainability and performance of application.
- Provide technical advice and assists in solving programming problems.
- Enhance SEO, Analytics and overall frontend architecture for better performance
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- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Good foundation in design and a knack for designing interactions and elegant interfaces
- Thorough understanding of React.js and its core principles
- Good to have experience with popular React.js workflows (such as Flux or Redux)
- Experience with data structure libraries
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- Familiarity with code versioning tools (such as Git)
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Coding modularity, Prototypes etc.
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- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
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- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
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- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
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- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
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- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
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- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
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- Vulnerability management: Snyk, fossa, NexusIQ, WhiteHat security, aqua security, GitHub security, etc.
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- BS/MS degree; 5+ years of relevant experience.
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- CEH, CSSLP, GIAC, OSCP, OSCE, or other related industry-recognized certifications.



