QA Test Automation Engineer

Role overview

- Hands-on Experience: 3-5 years of experience in automation testing,

specifically for API and UI applications.

- Strong Coding Skills: Proficiency in Java or JavaScript (for

Playwright) with a strong understanding of object-oriented programming

concepts.

- Automation Frameworks: Experience in creating and maintaining automation

frameworks using Selenium and Playwright (preferred), with Rest Assured for

API testing.

- API Testing: Experience in designing and executing automated tests for

RESTful APIs using tools like Postman, Rest Assured, or similar.

- Version Control: Strong experience with version control systems like Git.

- CI/CD Integration: Experience with integrating automated tests into CI/CD

pipelines (Jenkins, GitLab CI, etc.).

- Agile Methodology: Comfort working in an Agile environment with fast

iterations and continuous feedback.

- Problem-Solving: Strong debugging, problem-solving, and analytical skills to

troubleshoot issues effectively.

- Communication Skills: Excellent verbal and written communication skills to

clearly report test results and collaborate with cross-functional teams.

- Collaboration & Mentoring: Ability to collaborate with various stakeholders and

mentor junior team members, fostering a culture of learning and growth within

the team.

- Passion for Test Automation: A self-motivated individual with a passion for

quality and test automation, always looking for innovative solutions and

improvements.

- Right Attitude: A proactive attitude towards taking on challenging work and

responsibilities, with a positive approach to tackling complex tasks.

What would you do here

- Test Automation: Write, execute, and maintain automated tests using

Selenium, Playwright, and Rest Assured.

- Mentorship: Guide and mentor junior engineers in the team, helping them

improve their automation skills and providing technical support.

- Collaboration: Work closely with cross-functional teams including developers,

product managers, and other QA engineers to understand requirements and

deliver automated tests accordingly.

-- Continuous Improvement: Drive improvements in test automation processes

and practices, ensuring scalability, reusability, and high performance of test

suites. Responsibility & Ownership: Take full responsibility for the automation tasks assigned, from design to execution and reporting.

- Adaptability: Thrive in a fast-paced, agile environment and adapt quickly to

changing requirements.

- Defect Reporting & Resolution: Collaborate with the development team to

troubleshoot and resolve issues detected during test automation.

- Test Coverage & Reporting: Ensure comprehensive test coverage and provide

clear, actionable test results and metrics

Key Responsibilities:

Design, develop, and optimize scalable data pipelines and ETL processes.

Work with large datasets using GCP services like BigQuery, Dataflow, and Cloud Storage.

Implement real-time data streaming and processing solutions using Pub/Sub and Dataproc.

Collaborate with cross-functional teams to ensure data quality and governance.

Technical Requirements:

4+ years of experience in Data Engineering.

Strong expertise in GCP services like Workflow,tensorflow, Dataproc, and Cloud Storage.

Proficiency in SQL and programming languages such as Python or Java

.Experience in designing and implementing data pipelines

and working with real-time data processing.

Familiarity with CI/CD pipelines and cloud security best practices.

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Node.Js Developer Job Description:

Roles & Responsibilities:

• Developing and maintaining all server-side components.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, debugging, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Recruiting, mentoring, personal and professional development of new team members
• Managing the team of Nodejs Developers and solving their queries.
• Follow and improve code quality standards
• You would be responsible to take interviews for Node.js Technologies & share practical tasks with the candidates if required.
• Conduct Code Reviews and help the team learn about the mistakes to avoid
• Develop standard practices for developers to continuously improve the quality
• Develop Architecture and design for the complex business problems
• Deployment of code, database migrations, and a thorough understanding of the impact of changes in the production environment
• Understanding and augmenting the system and application architecture as needed
• The ability to organize the development process, create a working atmosphere and distribute the workload in the team.
• Identify programming bottlenecks and bugs and find fixes.
• Familiarity with AWS infrastructure.
• Knowledge of front-end technologies.
• Strong understanding of git.
• learn new technology and distribute it to team members.

Requirements/Qualifications:

• At least 1+ years of experience as a Node.js developer.
• Must have good communication skills in English. 
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Knowledge of development methodology.
• Must be willing to do hands-on coding where required and perform regular code reviews etc.
• Understanding trends and being able to critically assess.
• Availability to resolve urgent web application issues outside of business hours.
• Experience working in a team leadership role

Job Description:-

Infrastructure as Code (IaC): Implement and maintain infrastructure as code using tools like Terraform or AWS CloudFormation, ensuring scalability and reliability of cloud resources.

Continuous Integration/Continuous Deployment (CI/CD): Establish and enhance CI/CD pipelines to automate build, test, and deployment processes, facilitating faster and more reliable releases.

Configuration Management: Manage and automate server configurations using tools like Ansible, Chef, or Puppet, ensuring consistency and compliance across environments.

Monitoring and Logging: Set up and maintain monitoring and logging solutions (e.g., CloudWatch, ELK stack) to proactively identify and troubleshoot issues within the AWS infrastructure.

Security and Compliance: Implement security best practices and compliance standards (e.g., AWS IAM, Security Groups) to protect data and resources. Conduct security audits and vulnerability assessments.

The Successful Applicant

AWS Proficiency: Extensive experience with Amazon Web Services (AWS) and its services, including EC2, S3, RDS, Lambda, and more. AWS Certified DevOps Engineer certification is a plus.

Infrastructure as Code (IaC): Proficiency in writing and maintaining infrastructure as code using tools like Terraform, AWS CloudFormation, or similar technologies.

CI/CD Tools: Strong knowledge of CI/CD tools such as Jenkins, Travis CI, or AWS CodePipeline. Ability to configure and optimize automated build and deployment pipelines.

Containerization: Hands-on experience with containerization technologies like Docker and container orchestration platforms like Kubernetes in AWS.

Scripting and Automation: Proficiency in scripting languages (e.g., Bash, Python) for automating tasks and managing infrastructure.

Monitoring and Logging Tools: Familiarity with monitoring and logging tools such as CloudWatch, ELK stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, or Splunk.

Security and Compliance: Strong understanding of AWS security best practices, identity and access management (IAM), and compliance frameworks (e.g., HIPAA, GDPR).

Networking: Knowledge of AWS networking concepts, VPC, and routing. Experience with VPNs, Direct Connect, and other networking technologies is a plus.

Database Administration: Basic knowledge of database administration on AWS, including RDS, DynamoDB, or Aurora.

Collaboration and Communication: Excellent communication and teamwork skills to collaborate with cross-functional teams and convey technical information effectively.