11+ Bugzilla Jobs in Bangalore (Bengaluru) | Bugzilla Job openings in Bangalore (Bengaluru)

• Should have strong knowledge and hands-on with SQL, Java Selenium, and TestNG
• Good knowledge of the j-meter tool
• Hands-on with any of the defect management tools like Jira/Bugzilla
• Knowledge of Protractor, JavaScript, Soap UI is a plus
• Exposure to the usage of Testing Tools
• Hands-on JS/Scripting
• Knowledgeable in REST, XML/JSON, SOAP
• SQL Writing (Oracle DB)

Years of experience:

• 2+ years of actual QA experience comprising of both manual testing and creating automation frameworks.

Detailed Job Description:

• Experience in testing web-based applications.
• Experience in developing test cases and scenarios based on PRD/BRD/Use cases.
• Experience in testing Web Services
• Logging defects/bugs in the defect management tool
• Tracking the defects and retire them with appropriate test execution
• Good analytical and problem-solving skills
• Excellent written and verbal communication skills

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

• Strong analytical skills -ability to turn business requirements into technical concepts and code
• Minimum 3 years of experience in React(at least 3 projects)and familiar with modern React (Hooks, Context API)
• At least one PWA project
• Deep knowledge of Typescript (at least 2 years)
• Excellent problem solving and communication skills
• Used to writing automated tests with tools like Jest & Cypress
• Working with a ticketing tool like Jira
• Experience with SCRUM/Agile Development
• Experiences with NodeJS is a plus
• Experiences with Monorepositorys and Nx is a plus

Role:

We are looking for a committed, confident and self-driven designer with a zeal for problem solving. You should have a willingness to work collaboratively in a fast-paced environment. Experience of working on a fintech/ financial product is a plus.

 Key Responsibilities:

• Lead design efforts in a fast-paced agile environment
• Gather user requirements and envision the product
• Perform market and user research, including contextual inquiry, product feedback, data analysis, or competitive research
• Collaborate with all stakeholders to define problems & goals, clarify personas and map user flows.
• Create wireframes and transform wireframes to intuitive & user-friendly low/high fidelity mockups and iterate.
• Build functional prototypes
• Analyse and test design solutions
• Design icons, Illustrations, etc. 

Eligibility:

• 5 to 10 years of experience with end-to-end product design
• Passionate about creating great user experiences and other areas of design and innovation
• Excellent design skills with a clean, simple aesthetic
• Knowledge of design and prototyping tools like Illustrator, Photoshop, Sketch, XD, etc.
• Online portfolio or work samples
• Good communication skills

Good to have:

• Ability to hand-code HTML/CSS, and/or JavaScript
• Knowledge of animation/ video editing 
• Experience creating and implementing and maintaining a design language

Who We Are

We build innovative technology everyday!

Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs.

Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you.

You Will Enjoy

Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee and health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen.

We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing.

All these and a great set of people to work with - We Are Crediwatch!

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.