Automation Test Developer

Job Title: Solution Architect

Work Location: Tokyo

Experience: 7-10 years

Number of Positions: 3

Job Description:

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience (7-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

Description

Zycus is looking for a Meanstack/Mernstack Developer, who is motivated to combine the art of design with the art of programming. Responsibilities include implementing visual elements and their behavior with user interactions.. You will also be playing an active role on front end as well as backend development, and defining how the application looks and functions. We are looking for candidates with strong experience in MongoDB, Express.js, Angular, Node.js, Javascript, HTML, CSS, Jquery, Ajax. If you are a Mean Stack or full stack developer with a strong technical experience, then you could be the best fit for the role!

Roles & Responsibilities

· Creating Apps by working on all layers of architecture Understanding the flow of code and how it interacts with different components.

· Creating technical design documents by understanding requirements, and product objectives.

· Writing effective Unit tests

· Good analytical skills and innovative mind.

· Source code management.

· Excellent communication skills.

Requirements

· Total experience of 5 - 8 years

· Experience on Mean Stack/Mernstack (MongoDB, Express.js, Angular, Node.js)

· Strong understanding of JavaScript, object-oriented JS, its quirks, and workarounds·

· Strong hands on experience in JavaScript· Strong proficiency with JavaScript or CoffeeScript depending on your technology stack.·

· Good understanding of server-side CSS preprocessors such as Stylus, Less·

· Basic understanding of web markup, including HTML5 and CSS3· Good understanding of asynchronous request handling, partial page updates, JQuery, and AJAX·

· Proficient understanding of cross-browser compatibility issues and ways to work around such issues· Familiarity with JavaScript module loaders, such as Require.js and AMD·

· Proficient understanding of code versioning tools, such as SVN· Good understanding of browser rendering behaviour and performance

· Key Programming Skills: MEAN stack, full stack, Angular, Java, HTML/CSS, Javascript, Bootstrap.

· Experience working with Rest based APIs

Five Reasons Why You Should Join Zycus

1. Cloud Product Company: We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React.

2. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites.

3. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization

4. Get a Global Exposure: You get to work and deal with our global customers.

5. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Responsibilities:

• Obtaining and updating lists of individuals' contact details.
• Calling active and budding clients to encourage the purchase of items.
• Addressing clients' uncertainties, grievances, and suggestions on time.
• Noting important details of each conversation.
• Communicating verbal acceptances of offers to our sale
• Recording all successful and unsuccessful attempts to close sales.
• Attending regular team meetings to clarify progress and performance-related expectations.
• Conducting each of your functions with the utmost respect, regardless of others' dispositions.

Key Skills Required:-

• Good communication and listening skills.
• A polite and friendly manner (being rude never gets you anywhere)
• A positive attitude.
• Outbound call process.

Job Type: Full-time

• Salary: 12,000.00 - 17,000.00 per month

• Education: Minimum 12^th pass

• Experience: 06 month-3 yrs ( Tele callers/Telesales )
• Languages are known: Hindi/English
• Designation: Telesales Executive
• Mobile phone :- Mandatory 
• contact person -  prashant sharma  
• eight eight six four nine zero nine six one four --  send me your resume on my whattsapp 

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.