Requirements:
• Minimum 2+ years of experience in IFC testing within the Manufacturing Industry domain.
• Testing design and operating effectiveness of financial controls
• Documenting Risk Control Matrices (RCM), evaluating Test of Design (ToD) and Test of Operating Effectiveness (ToE)
• Identifying control gaps, and coordinating with client process owners to gather evidence and validate remediation
• Strong knowledge of internal controls frameworks
• Hands-on IFC/ITGC testing experience, attention to detail, and the ability to work independently with client stakeholders to meet engagement timeline
Responsibilities
Requirements:
• Minimum 2+ years of experience in IFC testing within the Manufacturing Industry domain.
• Testing design and operating effectiveness of financial controls
• Documenting Risk Control Matrices (RCM), evaluating Test of Design (ToD) and Test of Operating Effectiveness (ToE)
• Identifying control gaps, and coordinating with client process owners to gather evidence and validate remediation
• Strong knowledge of internal controls frameworks
• Hands-on IFC/ITGC testing experience, attention to detail, and the ability to work independently with client stakeholders to meet engagement timeline
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description same for all demand -
• Minimum 1-2 2E Implementation Experience in SAP S4/HANA
• Must be aware of latest S4 HANA features
• Must have worked on cross module functionalities , master data ,cutover, data upload etc.
Responsibilities
Job Description same for all demand -
• Minimum 1-2 2E Implementation Experience in SAP S4/HANA
• Must be aware of latest S4 HANA features
• Must have worked on cross module functionalities , master data ,cutover, data upload etc.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a QA Automation Engineer with 3–6 years of experience in software testing and automation. The ideal candidate should have strong hands-on expertise in Python and PyTest, along with experience in Microservices/API testing and SQL/database validation. The candidate will be responsible for designing, developing, and executing automated test solutions to ensure application quality and reliability.
Key Responsibilities
Design, develop, and maintain automated test scripts using Python and PyTest.
Perform functional, regression, integration, system, and end-to-end testing.
Test Microservices and REST APIs, including service integration and data validation.
Develop reusable and maintainable automation frameworks/components.
Write SQL queries for database validation and backend data verification.
Analyze test failures, identify defects, perform root-cause analysis, and track issues through defect management tools.
Collaborate with developers, business analysts, and other QA engineers to resolve quality issues.
Participate in Agile/Scrum ceremonies, sprint planning, test planning, and release activities.
Contribute to continuous improvement of automation coverage and testing processes.
Support execution of automated test suites through CI/CD pipelines.
Mandatory Skills
Python
PyTest
Microservices Testing
REST/API Testing
SQL / Database Testing
Strong understanding of QA processes, SDLC and STLC
Good to Have
Selenium / Playwright
Postman
Git
Jenkins / CI-CD
JIRA
Agile/Scrum methodology
Experience with automation framework development
Ideal Candidate Profile
3–6 years of relevant experience in QA Automation / SDET roles.
Strong programming and scripting skills in Python.
Hands-on experience with PyTest-based automation frameworks.
Practical experience testing Microservices and REST APIs.
Good SQL skills for backend/database validation.
Strong analytical, debugging, and problem-solving abilities.
Good communication and collaboration skills.
Responsibilities
We are looking for a QA Automation Engineer with 3–6 years of experience in software testing and automation. The ideal candidate should have strong hands-on expertise in Python and PyTest, along with experience in Microservices/API testing and SQL/database validation. The candidate will be responsible for designing, developing, and executing automated test solutions to ensure application quality and reliability.
Key Responsibilities
Design, develop, and maintain automated test scripts using Python and PyTest.
Perform functional, regression, integration, system, and end-to-end testing.
Test Microservices and REST APIs, including service integration and data validation.
Develop reusable and maintainable automation frameworks/components.
Write SQL queries for database validation and backend data verification.
Analyze test failures, identify defects, perform root-cause analysis, and track issues through defect management tools.
Collaborate with developers, business analysts, and other QA engineers to resolve quality issues.
Participate in Agile/Scrum ceremonies, sprint planning, test planning, and release activities.
Contribute to continuous improvement of automation coverage and testing processes.
Support execution of automated test suites through CI/CD pipelines.
Mandatory Skills
Python
PyTest
Microservices Testing
REST/API Testing
SQL / Database Testing
Strong understanding of QA processes, SDLC and STLC
Good to Have
Selenium / Playwright
Postman
Git
Jenkins / CI-CD
JIRA
Agile/Scrum methodology
Experience with automation framework development
Ideal Candidate Profile
3–6 years of relevant experience in QA Automation / SDET roles.
Strong programming and scripting skills in Python.
Hands-on experience with PyTest-based automation frameworks.
Practical experience testing Microservices and REST APIs.
Good SQL skills for backend/database validation.
Strong analytical, debugging, and problem-solving abilities.
Good communication and collaboration skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Business Analyst will work closely with stakeholders, including product managers, developers, and healthcare professionals to analyze business needs and translate them into functional requirements. The ideal candidate will have 3-6 years of experience in the healthcare domain, proficiency in SQL, and a strong understanding of healthcare processes and regulations.
Key Responsibilities:
Gather, analyze, and document business requirements for healthcare projects.
Collaborate with cross-functional teams to design and implement healthcare solutions.
Perform data analysis using SQL to support decision making and reporting.
Understand healthcare workflows, compliance standards (e.g., HIPAA), and regulatory requirements.
Translate complex healthcare data and business needs into clear functional specifications.
Facilitate communication between technical teams and healthcare stakeholders.
Assist in user acceptance testing (UAT), validate deliverables against requirements.
Identify areas for process improvement and provide actionable recommendations.
Qualifications & Skills:
Bachelor’s degree in Business, Healthcare Informatics, Computer Science, or related field.
3 to 6 years of experience as a Business Analyst in the healthcare domain.
Strong proficiency in writing complex SQL queries for data extraction and analysis.
Good understanding of healthcare industry standards, EHR/EMR systems preferred.
Excellent analytical, problem-solving, and communication skills.
Experience with requirement gathering tools and techniques (e.g., JIRA, Confluence).
Ability to work in the shift timing of 2:00 PM to 11:00 PM IST.
Detail-oriented with the ability to manage multiple priorities effectively.
Preferred:
Experience with data visualization tools (e.g., Power BI, Tableau).
Knowledge of healthcare regulations such as HIPAA, ICD-10, CPT codes.
Exposure to Agile/Scrum methodologies.
Responsibilities
The Business Analyst will work closely with stakeholders, including product managers, developers, and healthcare professionals to analyze business needs and translate them into functional requirements. The ideal candidate will have 3-6 years of experience in the healthcare domain, proficiency in SQL, and a strong understanding of healthcare processes and regulations.
Key Responsibilities:
Gather, analyze, and document business requirements for healthcare projects.
Collaborate with cross-functional teams to design and implement healthcare solutions.
Perform data analysis using SQL to support decision making and reporting.
Understand healthcare workflows, compliance standards (e.g., HIPAA), and regulatory requirements.
Translate complex healthcare data and business needs into clear functional specifications.
Facilitate communication between technical teams and healthcare stakeholders.
Assist in user acceptance testing (UAT), validate deliverables against requirements.
Identify areas for process improvement and provide actionable recommendations.
Qualifications & Skills:
Bachelor’s degree in Business, Healthcare Informatics, Computer Science, or related field.
3 to 6 years of experience as a Business Analyst in the healthcare domain.
Strong proficiency in writing complex SQL queries for data extraction and analysis.
Good understanding of healthcare industry standards, EHR/EMR systems preferred.
Excellent analytical, problem-solving, and communication skills.
Experience with requirement gathering tools and techniques (e.g., JIRA, Confluence).
Ability to work in the shift timing of 2:00 PM to 11:00 PM IST.
Detail-oriented with the ability to manage multiple priorities effectively.
Preferred:
Experience with data visualization tools (e.g., Power BI, Tableau).
Knowledge of healthcare regulations such as HIPAA, ICD-10, CPT codes.
Exposure to Agile/Scrum methodologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
GEN AI Engineer with 3 to 8 Years Exp
LLMs (GPT, LLaMA), prompt engineering, embeddings, RAG pipelines, LangChain/LlamaIndex, vector DBs (Pinecone, FAISS), API integration
Responsibilities
GEN AI Engineer with 3 to 8 Years Exp
LLMs (GPT, LLaMA), prompt engineering, embeddings, RAG pipelines, LangChain/LlamaIndex, vector DBs (Pinecone, FAISS), API integration
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
UX Engineer · Senior / Lead
Bangalore | Full-Time
6–12 Years · Product Design & Frontend Engineering · AI-Powered Enterprise Products
ROLE SUMMARY
You own the frontend of AI-powered enterprise products — translating product requirements into production-ready, accessible, and performant interfaces. This role sits at the intersection of design and engineering, and requires equal competency in both.
This role exists because most frontend engineers we meet either cannot design or cannot reason about the unique UX challenges of AI-driven products. We need someone who bridges that gap: who can implement a pixel-perfect component from a Figma spec in the morning and spend the afternoon defining how confidence scores and probabilistic outputs should behave in a human-in-the-loop review queue.
AI is woven through almost everything we ship. You will build interfaces for LLM outputs, model comparisons, explainability surfaces, and approval workflows — and you will bring the engineering discipline to make them fast, accessible, and production-grade.
The split is roughly 70% hands-on frontend engineering, 30% design collaboration and UX definition. The exact balance flexes with the product.
WHAT YOU WILL DO
Interface Development
–
Build production-grade React and TypeScript interfaces from design specifications, owning quality from component to deployment.
–
Develop and maintain a shared component library and design system used across multiple products and teams.
–
Implement complex, data-heavy dashboards with real-time updates, drill-downs, and configurable views.
–
Engineer multi-step workflows, configuration panels, and form-heavy interfaces with robust validation and error handling.
AI Product UX
–
Implement UI patterns for AI outputs: confidence scores, probability ranges, explanation panels, and suggestion overlays.
–
Build interfaces that support human-in-the-loop workflows: review queues, approval flows, override mechanisms, and audit logs.
–
Define API contracts with backend and ML engineers to optimise data delivery for frontend requirements. You know what you need and can specify it clearly.
Quality & Collaboration
–
Enforce WCAG 2.1 AA accessibility standards across all interfaces. Accessibility is not a checklist; it is a design constraint from the start.
–
Conduct usability testing with domain users; iterate based on findings, not assumptions.
–
Own frontend performance: Core Web Vitals, bundle optimisation, lazy loading, and caching strategies.
–
Lead code reviews, enforce coding standards, and mentor junior engineers through delivery.
TECHNICAL SKILLS
JoulestoWatts Business Solutions
Confidential · Internal Use Only
This is the stack we expect you to be fluent in. Not every product uses every item, but a senior candidate will have hands-on production experience across most of these.
Frontend Engineering
–
React — 5+ years in production: hooks, context, code splitting, performance optimisation.
–
TypeScript in strict mode, non-negotiable. You write types that help the next engineer, not ones that appease the compiler.
–
CSS: Tailwind CSS, CSS Modules, or styled-components at production depth.
–
State management: React Query, Zustand, or Redux Toolkit. You know when each is the right tool.
–
REST and GraphQL API integration; WebSocket for real-time feeds.
Data Visualisation
–
D3.js, Recharts, Nivo, or Plotly for custom charts and interactive graphs.
–
Virtualised lists and canvas rendering for large datasets without sacrificing responsiveness.
–
Visual representation of probabilistic outputs — confidence bands, distributions, uncertainty ranges.
UX Engineering
–
Translating Figma or Sketch designs into high-fidelity production interfaces without losing intent.
–
Designing form workflows: multi-step wizards, conditional logic, inline validation.
–
Strong grasp of information hierarchy and progressive disclosure in data-dense enterprise UIs.
ENGINEERING EXPERIENCE
We are looking for someone with 6 to 12 years of hands-on frontend and UX engineering in product environments. Beyond the stack, what matters:
–
You have personally delivered production interfaces end-to-end, more than once. You can walk through component architecture decisions, what broke in production, and what you would do differently.
–
You stay close to the code. Your last meaningful pull request was this week, not last quarter.
–
You design for the system that will exist in two years — a component library that scales, a design system that teams actually adopt — while also knowing when to stop designing and start shipping.
–
You are comfortable owning ambiguity. A vague product brief is an opportunity to ask better questions, not a blocker.
–
You read design files well, implement them cleanly, and push back constructively when something will not work at scale.
–
You have shipped in environments where the backend API was still being defined. You know how to move forward with mocks and align later.
AI PRODUCT EXPERIENCE
We are not looking for someone who has styled a chatbot interface. We are looking for someone who has thought deeply about how AI outputs should behave in a product.
–
You have shipped interfaces for AI-generated content or model outputs. You can name the product, the challenges, and the decisions you made.
–
You understand the difference between a demo interface and one that handles edge cases: empty states, low-confidence outputs, model errors, and latency.
–
You exercise sound judgment on when to expose AI uncertainty to the user and when to abstract it. You have made that call and can explain why.
–
You can work with ML engineers to understand what data is available and shape the frontend experience around realistic model outputs, not ideal ones.
JoulestoWatts Business Solutions
Confidential · Internal Use Only
NICE TO HAVE
–
Experience with AI product UIs: prompt-driven interfaces, model comparison views, or explainability surfaces.
–
Enterprise B2B product background: pricing, CPQ, ERP-adjacent, or analytics applications.
–
Ownership of or contribution to a multi-team shared design system.
–
Familiarity with micro-frontend architecture or module federation.
–
Domain exposure: engineering services, manufacturing, automotive, or similar technical industries.
WHAT THIS ROLE IS NOT
–
Not a pure design role. If your last two years have been Figma files without production code, this is not the right fit.
–
Not a pure engineering role. We need someone who can hold a design opinion and push back on patterns that will not serve users.
–
Not a marketing or consumer product role. This is enterprise software: data-dense, workflow-driven, and used by domain experts.
–
Not a delivery management role. You should know what the frontend is doing because you are reviewing the pull requests and writing a significant portion of the code.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Design, Human-Computer Interaction, or equivalent practical experience.
–
6–12 years of hands-on frontend and UX engineering in product environments.
–
Portfolio of shipped, production interfaces — enterprise or data-heavy applications preferred.
–
Strong written and verbal communication skills; ability to present design and engineering trade-offs to product and business stakeholders.
HOW WE WILL EVALUATE YOU
–
A portfolio of shipped interfaces we can discuss in depth. We care about decisions made, not just how things look.
–
A technical conversation walking through one of your past frontend projects: the architecture, what broke, and what you would do differently.
–
A design-to-code exercise where we hand you a Figma spec and an ambiguous brief. The exercise is graded on how you handle the gaps, not just whether the output renders.
–
A short live session on a small UI problem with AI output patterns. We want to see how you think in real time.
–
A reference conversation with someone who has worked with you on a shipped product.
Responsibilities
UX Engineer · Senior / Lead
Bangalore | Full-Time
6–12 Years · Product Design & Frontend Engineering · AI-Powered Enterprise Products
ROLE SUMMARY
You own the frontend of AI-powered enterprise products — translating product requirements into production-ready, accessible, and performant interfaces. This role sits at the intersection of design and engineering, and requires equal competency in both.
This role exists because most frontend engineers we meet either cannot design or cannot reason about the unique UX challenges of AI-driven products. We need someone who bridges that gap: who can implement a pixel-perfect component from a Figma spec in the morning and spend the afternoon defining how confidence scores and probabilistic outputs should behave in a human-in-the-loop review queue.
AI is woven through almost everything we ship. You will build interfaces for LLM outputs, model comparisons, explainability surfaces, and approval workflows — and you will bring the engineering discipline to make them fast, accessible, and production-grade.
The split is roughly 70% hands-on frontend engineering, 30% design collaboration and UX definition. The exact balance flexes with the product.
WHAT YOU WILL DO
Interface Development
–
Build production-grade React and TypeScript interfaces from design specifications, owning quality from component to deployment.
–
Develop and maintain a shared component library and design system used across multiple products and teams.
–
Implement complex, data-heavy dashboards with real-time updates, drill-downs, and configurable views.
–
Engineer multi-step workflows, configuration panels, and form-heavy interfaces with robust validation and error handling.
AI Product UX
–
Implement UI patterns for AI outputs: confidence scores, probability ranges, explanation panels, and suggestion overlays.
–
Build interfaces that support human-in-the-loop workflows: review queues, approval flows, override mechanisms, and audit logs.
–
Define API contracts with backend and ML engineers to optimise data delivery for frontend requirements. You know what you need and can specify it clearly.
Quality & Collaboration
–
Enforce WCAG 2.1 AA accessibility standards across all interfaces. Accessibility is not a checklist; it is a design constraint from the start.
–
Conduct usability testing with domain users; iterate based on findings, not assumptions.
–
Own frontend performance: Core Web Vitals, bundle optimisation, lazy loading, and caching strategies.
–
Lead code reviews, enforce coding standards, and mentor junior engineers through delivery.
TECHNICAL SKILLS
JoulestoWatts Business Solutions
Confidential · Internal Use Only
This is the stack we expect you to be fluent in. Not every product uses every item, but a senior candidate will have hands-on production experience across most of these.
Frontend Engineering
–
React — 5+ years in production: hooks, context, code splitting, performance optimisation.
–
TypeScript in strict mode, non-negotiable. You write types that help the next engineer, not ones that appease the compiler.
–
CSS: Tailwind CSS, CSS Modules, or styled-components at production depth.
–
State management: React Query, Zustand, or Redux Toolkit. You know when each is the right tool.
–
REST and GraphQL API integration; WebSocket for real-time feeds.
Data Visualisation
–
D3.js, Recharts, Nivo, or Plotly for custom charts and interactive graphs.
–
Virtualised lists and canvas rendering for large datasets without sacrificing responsiveness.
–
Visual representation of probabilistic outputs — confidence bands, distributions, uncertainty ranges.
UX Engineering
–
Translating Figma or Sketch designs into high-fidelity production interfaces without losing intent.
–
Designing form workflows: multi-step wizards, conditional logic, inline validation.
–
Strong grasp of information hierarchy and progressive disclosure in data-dense enterprise UIs.
ENGINEERING EXPERIENCE
We are looking for someone with 6 to 12 years of hands-on frontend and UX engineering in product environments. Beyond the stack, what matters:
–
You have personally delivered production interfaces end-to-end, more than once. You can walk through component architecture decisions, what broke in production, and what you would do differently.
–
You stay close to the code. Your last meaningful pull request was this week, not last quarter.
–
You design for the system that will exist in two years — a component library that scales, a design system that teams actually adopt — while also knowing when to stop designing and start shipping.
–
You are comfortable owning ambiguity. A vague product brief is an opportunity to ask better questions, not a blocker.
–
You read design files well, implement them cleanly, and push back constructively when something will not work at scale.
–
You have shipped in environments where the backend API was still being defined. You know how to move forward with mocks and align later.
AI PRODUCT EXPERIENCE
We are not looking for someone who has styled a chatbot interface. We are looking for someone who has thought deeply about how AI outputs should behave in a product.
–
You have shipped interfaces for AI-generated content or model outputs. You can name the product, the challenges, and the decisions you made.
–
You understand the difference between a demo interface and one that handles edge cases: empty states, low-confidence outputs, model errors, and latency.
–
You exercise sound judgment on when to expose AI uncertainty to the user and when to abstract it. You have made that call and can explain why.
–
You can work with ML engineers to understand what data is available and shape the frontend experience around realistic model outputs, not ideal ones.
JoulestoWatts Business Solutions
Confidential · Internal Use Only
NICE TO HAVE
–
Experience with AI product UIs: prompt-driven interfaces, model comparison views, or explainability surfaces.
–
Enterprise B2B product background: pricing, CPQ, ERP-adjacent, or analytics applications.
–
Ownership of or contribution to a multi-team shared design system.
–
Familiarity with micro-frontend architecture or module federation.
–
Domain exposure: engineering services, manufacturing, automotive, or similar technical industries.
WHAT THIS ROLE IS NOT
–
Not a pure design role. If your last two years have been Figma files without production code, this is not the right fit.
–
Not a pure engineering role. We need someone who can hold a design opinion and push back on patterns that will not serve users.
–
Not a marketing or consumer product role. This is enterprise software: data-dense, workflow-driven, and used by domain experts.
–
Not a delivery management role. You should know what the frontend is doing because you are reviewing the pull requests and writing a significant portion of the code.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Design, Human-Computer Interaction, or equivalent practical experience.
–
6–12 years of hands-on frontend and UX engineering in product environments.
–
Portfolio of shipped, production interfaces — enterprise or data-heavy applications preferred.
–
Strong written and verbal communication skills; ability to present design and engineering trade-offs to product and business stakeholders.
HOW WE WILL EVALUATE YOU
–
A portfolio of shipped interfaces we can discuss in depth. We care about decisions made, not just how things look.
–
A technical conversation walking through one of your past frontend projects: the architecture, what broke, and what you would do differently.
–
A design-to-code exercise where we hand you a Figma spec and an ambiguous brief. The exercise is graded on how you handle the gaps, not just whether the output renders.
–
A short live session on a small UI problem with AI output patterns. We want to see how you think in real time.
–
A reference conversation with someone who has worked with you on a shipped product.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
