11+ User guides Jobs in Hyderabad | User guides Job openings in Hyderabad
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Functional Testing & Validation
- Web Application Testing: Design, document, and execute comprehensive functional test plans and test cases for complex, highly interactive web applications, ensuring they meet specified requirements and provide an excellent user experience.
- Backend API Testing: Possess deep expertise in validating backend RESTful and/or SOAP APIs. This includes testing request/response payloads, status codes, data integrity, security, and robust error handling mechanisms.
- Data Validation with SQL: Write and execute complex SQL queries (joins, aggregations, conditional logic) to perform backend data checks, verify application states, and ensure data integrity across integration points.
- I Automation (Playwright & TypeScript):
- Design, develop, and maintain robust, scalable, and reusable UI automation scripts using Playwright and TypeScript.
- Integrate automation suites into Continuous Integration/Continuous Deployment (CI/CD) pipelines.
- Implement advanced automation patterns and frameworks (e.g., Page Object Model) to enhance maintainability.
- Prompt-Based Automation: Demonstrate familiarity or hands-on experience with emerging AI-driven or prompt-based automation approaches and tools to accelerate test case generation and execution.
- API Automation: Develop and maintain automated test suites for APIs to ensure reliability and performance.
3. Performance & Load Testing
- JMeter Proficiency: Utilize Apache JMeter to design, script, and execute robust API load testing and stress testing scenarios.
- Analyse performance metrics, identify bottlenecks (e.g., response time, throughput), and provide actionable reports to development teams.
🛠️ Required Skills and Qualifications
- Experience: 4+ years of professional experience in Quality Assurance and Software Testing, with a strong focus on automation.
- Automation Stack: Expert-level proficiency in developing and maintaining automation scripts using Playwright and TypeScript.
- Testing Tools: Proven experience with API testing tools (e.g., Postman, Swagger) and strong functional testing methodologies.
- Database Skills: Highly proficient in writing and executing complex SQL queries for data validation and backend verification.
- Performance: Hands-on experience with Apache JMeter for API performance and load testing.
- Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams (Developers, Product Managers).
- Problem-Solving: Strong analytical and debugging skills to efficiently isolate and report defects.
At Loyalty Juggernaut, we’re on a mission to revolutionize customer loyalty through AI-driven SaaS solutions. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem with GRAVTY®, our SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.
Our Impact:
- 400+ million members connected through our platform.
- Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.
Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!
Explore more about us at www.lji.io.
What you will OWN:
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS ‘big data’ technologies.
- Create and maintain optimal data pipeline architecture.
- Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
- Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.
You would make a GREAT FIT if you have:
- Have 2 to 5 years of relevant backend development experience, with solid expertise in Python.
- Possess strong skills in Data Structures and Algorithms, and can write optimized, maintainable code.
- Are familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB.
- Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
- Have a solid understanding of ETL processes and tools and can build or modify ETL pipelines effectively.
- Have experience managing or building data pipelines and architectures at scale.
- Understand the nuances of data ingestion, transformation, storage, and analytics workflows.
- Communicate clearly and work collaboratively across engineering, product.
Why Choose US?
- This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
- You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.
Technical Skills – Must have
Lead the design and development of AI-driven test automation frameworks and solutions.
Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.
Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.
Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.
Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.
Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.
Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.
Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.
Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.
Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.
Proficiency in programming languages commonly used in AI, such as Python, Java, or R.
Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with testing methodologies and practices, including Agile and DevOps.
Working experience on Python/Java and Selenium also knowledge in prompt engineering.
Dear Candidate,
We are Urgently hiring QA Automation Engineers and Test leads At Hyderabad and Bangalore
Exp: 6-10 yrs
Locations: Hyderabad ,Bangalore
JD:
we are Hiring Automation Testers with 6-10 years of Automation testing experience using QA automation tools like Java, UFT, Selenium, API Testing, ETL & others
Must Haves:
· Experience in Financial Domain is a must
· Extensive Hands-on experience in Design, implement and maintain automation framework using Java, UFT, ETL, Selenium tools and automation concepts.
· Experience with AWS concept and framework design/ testing.
· Experience in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch.
· Experience with Databricks, Python, Spark, Hive, Airflow, etc.
· Experience in validating and analyzing kubernetics log files.
· API testing experience
· Backend testing skills with ability to write SQL queries in Databricks and in Oracle databases
· Experience in working with globally distributed Agile project teams
· Ability to work in a fast-paced, globally structured and team-based environment, as well as independently
· Experience in test management tools like Jira
· Good written and verbal communication skills
Good To have:
- Business and finance knowledge desirable
Best Regards,
Minakshi Soni
Executive - Talent Acquisition (L2)
Worldwide Locations: USA | HK | IN
Lead Developer Job Summary
We are looking for an experienced Lead Developer to be responsible for managing the development team and overseeing the development of software applications and systems. The Lead Developer will be expected to collaborate with stakeholders to ensure that the development team is meeting deadlines and requirements and will be responsible for designing and implementing new software solutions.
Lead Developer Duties and Responsibilities
- Lead and manage the development team, providing guidance, mentorship, and support
- Design and develop new software solutions and maintain existing software systems
- Identify development opportunities and prioritize projects
- Collaborate with stakeholders to ensure that the team meets deadlines and requirements
- Provide technical oversight and ensure software quality standards are met
- Develop and manage project plans and timelines
- Also perform some hands-on development
- Monitor project progress and provide regular updates
Lead Developer Requirements and Qualifications
- Bachelor’s degree in computer science, Engineering, or related field
- 5+ years of experience in software development and project management
- Experience leading a development team
- Working knowledge of software development processes and methodologies
- Full stack developer with experience working in .NET and Angular
Job Title: Senior AI Engineer
Job Summary:
We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform.
Key Responsibilities:
- Design, develop, deploy, and maintain ML models and AI infrastructure.
- Collaborate with cross-functional teams to integrate ML models into production workflows.
- Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring.
- Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment.
- Stay updated with the latest advancements in machine learning and AI best practices.
- Monitor and optimise model performance, addressing issues related to scalability and efficiency.
- Troubleshoot and resolve problems related to ML models and infrastructure.
Requirements:
- 5+ years of professional experience with Python programming.
- Hands-on experience with Machine Learning Operations (MLOps).
- Proven expertise in data engineering and ETL processes.
- Strong knowledge of AWS services, including Sage Maker 3wand Bedrock.
- Proficiency in setting up and managing Docker and CI/CD pipelines.
- Experience with large language models (LLMs) and prompt engineering.
- Familiarity with model performance monitoring and optimization techniques.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
- Deep knowledge and working experience in any of Adobe Marketo or Hybris Marketing or Emarsys platforms with end to end hands-on implementation and integration experience including integration tools
- Other platforms of interest include Adobe Campaign Emarsys Pardot Salesforce Marketing Cloud and Eloqua
- Hybris Marketing or Adobe Marketo Certification strongly preferred
- Experience in evaluating different marketing platforms (e.g. Salesforce SFMC versus Adobe Marketo versus Adobe Marketing)
- Experience in design and setup of Marketing Technology Architecture
- Proficient in scripting and experience with HTML XML CSS JavaScript etc.
- Experience with triggering campaigns via API calls
- Responsible for the detailed design of technical solutions POV on marketing solutions Proof-of-Concepts (POC) prototyping and documentation of the technical design
- Collaborate with Onshore team in tailoring solutions that meets business needs using agile/iterative development process
- Perform feasibility analysis for the marketing solution that meet the business goals
- Experience with client discovery workshops and technical solutions presentations
- Excellent communication skills required as this is a client business & IT interfacing role
Required Experience: 5 - 7 Years
Skills : ADF, Azure, SSIS, python
Job Description
Azure Data Engineer with hands on SSIS migrations and ADF expertise.
Roles & Responsibilities
•Overall, 6+ years’ experience in Cloud Data Engineering, with hands on experience in ADF (Azure Data Factory) is required.
Hands on experience with SSIS to ADF migration is preferred.
SQL Server Integration Services (SSIS) workloads to SSIS in ADF. ( Must have done at least one migration)
Hands on experience implementing Azure Data Factory frameworks, scheduling, and performance tuning.
Hands on experience in migrating SSIS solutions to ADF
Hands on experience in ADF coding side.
Hands on experience with MPP Database architecture
Hands on experience in python




