
Similar jobs
Job Description
We are solving complex technical problems in the financial 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.
Job Description:
• Experience in Core Java, Spring Boot.
• Experience in microservices.
• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2
• Good knowledge of multi-threading
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should be able to express their design ideas and thoughts.

Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.


- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Work location - Permanent WFH
Experience:-
SDE (Senior Developer Executive)
Experience- 1- 3Yrs
Budget :- 32 LPA Fixed
SDA (Senior developer Associate)
Experience:- 55 LPA Fixed
Skills Required- Java ,Data Structures, Algorithms, Coding, design Patterns, Multithreading.
Candidate from Product Based Background is Preferred.
Work Location:Mumbai,Gurgoan,Indore,Bangalore,Hyderabad
- J2EE
- Web services
- JSON
- JSP Servlet
- Exception handling
- Multithreading
- Rest API
- Microservices
Skills required: -
- Strong architecture and design skills and keen business sense. -
- Ownership of projects and technical areas. -
- Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
- Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
- Good knowledge of nodeJS/ noSQL a definite plus. -
- Good exposure to front end/UI skills (JS, HTML, Angular). -
- Good exposure to configuration management, testing, deployment. -
- Deep knowhow of data structures, algorithms. -
- Hands on development across technologies.
- Exp- 6-8 years.
- Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.
About Company: Ramphal Technologies is an Indian startup company. The company was founded by a visionary team of founders having a vast experience in Technology.
The company has a long term vision to disrupt the Indian Air Traffic scenario through technology Innovation. The Govt. Of India has officially signed a MOA with us to
build the next generation Technology platform to manage the Air Traffic in India.
About Opportunity: We have an exciting career opportunity for you where you will be part of developing a mission critical real time IT system. <<and explain the position>>
This role gives you an opportunity to disrupt how both manned and unmanned flights are going to fly in future. Your software will run in every Indian/Global Airport
and your work will keep the flight journey safe and efficient.
Java 8
Spring Boot
Microservices
Data Structures
Algorithms
Multithreading
1.) Design Application Architecture, Engineering Processes, Engineering Best Practices, People Management, Code Reviews.
2.) Deep understanding & Working Experience in Design Patterns, Data Structure & Algorithms
2.) Understand Design Alternatives with Trade Off's and Matching Costs & Performance Expectations
3.) Define the Right Teck Stack , Data Flow , Data Store - FULL Stack
4.) Understand the Failure Points in Design , Coding , Stack Related Issues
5.) Part of Open Source Community , Understand Common & Specific Issues & How Others have solved it
6.) Proficient in Different Design Models & PROS & CONS"
Must Have Experience/Attributes -
Multi-year experience in Designing & Coding Applications of a successful Online platform
Experience in Designing Distributed Applications @ Scale
Proficiency with scalability and high availability strategies for Java Services & Microservices on distributed platform
Defining solution based on the set of Non Functional Requirements - security, reliability, performance, maintainability, scalability, and usability
Strong Debugging and Troubleshooting expertise
Strong desire and ability to look for and adopt best practices/community driven open source framework and technologies into design deliverables
Should be obsessed with code quality, performance optimization and tools usage to improve productivity/quality
Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
Experience of driving activities to influence code quality and process rigor
Enthusiastically follow technology trends, software engineering best practice and technologies while enjoying the challenge of solving complex problems
Experience of working on E-commerce platform
Experience in Dockers and container orchestration on Kubernetes
Working Experience in Integration Technologies / Middleware like Kafka, Rabbit MQ , ESB
Knowledge on Cloud Ecosystem - Added Advantage

