Dot Net Developer

Job Description:

- Experience with Java 4 to 8 years, Spring Boot, Microservices, Angular, Docker, and Kubernetes

Knowledge of multi-threading concepts, TCPIP, databases, and REST-based JSON APIs

- Experience with build and deployment tools: Maven, Git, JUnit

- Experience building and working with DevOps Toolchains (Github actions, Jenkins)

Experience with responsive UI development

Demonstrates great communication skills and initiative to solve problems and convey solutions to peers and product owners.

Experience with the scrum process

Experience with event-driven architecture.

Knowledge of UI testing and continuous integration

Working knowledge of TDD TDD mindset

- Pair Programming experience

Functional knowledge of the Accounts Payable domain is an added advantage.

Position Overview :

As an Intermediate Software Engineer, you will design, develop, and maintain high-performance and scalable applications for Membership, Marketing, and Map services. Your role involves coding, unit testing, and building applications to meet the needs of millions of Sam's members. You should be intellectually curious, passionate about technology, and a supportive team player.

Key Responsibilities :

- Design, code, and test scalable applications in Java and React.

- Ensure high performance and maintainability of applications.

- Participate in peer code reviews and support team deliverables.

- Manage applications to meet engineering and operational excellence criteria.

- Collaborate with team members to align efforts with business needs.

Required Skills and Experience :

- Java : Experience with Java 8 or above, including lambda functions and streams.

- React : Proficiency in React, including tools like Flux, Flow, and Redux.

- Testing : Strong in writing modular and testable code with frameworks like JUnit, Mockito, and Mock MVC.

- Front-End : In-depth knowledge of JavaScript, CSS, HTML, and React fundamentals.

- Micro-Services : Experience with micro-services architecture and distributed systems.

- Spring Boot : Hands-on experience with Spring Boot and related technologies.

- Databases : Experience with relational and NoSQL databases (e.g., Cosmos DB).

- Caching : Knowledge of caching technologies like Redis or Memcached.

- Monitoring : Experience with monitoring tools like Prometheus and Splunk.

- CI/CD : Familiarity with CI/CD tools like Jenkins, Git, Maven, and Gradle.

- Containerization : Experience with Docker, Helm, and Kubernetes.

- Cloud Platforms : Experience with Azure, GCP, or similar public cloud platforms.

- Performance Testing: Experience with performance testing tools like JMeter is a plus.

- Retail Domain Knowledge : Good understanding of the retail domain is beneficial.

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or related field.

- 7+ years of experience in software engineering or a related field.

Additional Information :

- Strong problem-solving skills and analytical thinking.

- Ability to work effectively in a team environment

Job Description:

Responsibilities:

·      Participate in the entire application lifecycle, focusing on coding and debugging

·      Ability to design and document the product features, codes.

·      Self-driven and ability to take up ownership of things

·      Write clean code to develop functional applications, automation scripts, test cases

·      Troubleshoot and debug applications

·      Collaborate with developers, cross-functional teams to identify issue, new features and come up with solutions

·      Gather and address technical and design requirements

·      Provide training and support to internal teams

·      Build reusable code and libraries for future use

·      Ability to sync with other developers, designers to identify issues, new features and improvements

Requirements and skills:

·      Solid understanding of linux development environment and systems

·      Expert level knowledge of Python along with frameworks like Django, flask

·      Proficient in writing unit test cases using Pytest framework.

·      Expert level knowledge of SQL databases like MySQL and PostgreSQL

·      Good knowledge of design principles and databases

·      Knowledge of front technologies like Typescript, ReactJs

·      Knowledge of Caching techniques using Memcached and Redis

·      Experience of using queueing service line Kafka

·      Solid understanding of microservices architecture

·      Knowledge of AWS cloud services

·      Expert in serverless technologies like lambda along with API gateway

·      Knowledge of Git, Jira, CI/CD pipelines and containerization like docker

·      Knowledge of logging and monitoring tools like Grafana or Newrelic

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.

Tech Lead

 Key goals and responsibilities

· Building reusable components and front-end libraries for future use

· Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache

· Ensure best coding practices to build efficiencies and scalability of the tech stack; to be implemented by the team.

· Ensure defect-free software deployment and maintenance thereof.

· Focus on critical trouble shooting issues; be obstacle remover for the team.

· Create and maintain project documentation and tech specs.

· Review the code periodically from technical and security point of view with due recommendations.

· Track team on performance and task management to deliver to timelines and quality.

· Thorough understanding of React.js, Vue Js and its core principles

· Familiarity with modern front-end build pipelines and tools

· A knack of benchmarking and optimization

· Familiarity with code versioning tools such as Git, SVN, and Mercurial

· Good understanding of quality JavaScript code (Object oriented and commonly used design patterns )

· Capable of debugging complex issues in JavaScript

· Understanding of JS debug tools and chrome dev tools

Your key qualifications & competencies:

· Understanding of web markup, including HTML5 and CSS3

· Familiarity with RESTful APIs

· Knowledge of modern authorization mechanisms, such as JSON Web Token

· Experience with data structure libraries (e.g., Immutable.js)

· At least 5+ years of hands on coding experience

· Strong understanding of OOPS Concepts and data structure

· Have practical knowledge/experience in JAVA , Microservices , Springboot , hibernate and MySQL database

· Have prior experience in scrum and agile methodologies

· Should have 5+ years of experience in modern JavaScript frameworks such as React.js /Vue/AngularJS /Knockout

· Must have experience on AWS, or Google cloud. Must have knowledge of GIT.

· Should have sound understanding of http and REST. Be a proponent of strict code quality standards using JSLint etc.

· Should have atleast 3+ years of leading teams and proven record of adherence to ambitious deadlines.

· Should have strong understanding of object oriented and functional programming in JavaScript.

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or relevant field