Responsibilities: * Design, develop, test & maintain Oracle Flexcube solutions. * Collaborate with clients on core banking implementations. * Provide technical expertise for Finacle software.
Role & responsibilities The AI/ML Engineer will be responsible for the development and implementation of open-source large language models (LLM) tailored for the Banking, Financial Services, and Insurance (BFSI) sector. You will work collaboratively with cross-functional teams to design innovative solutions that enhance our product offerings, enabling more efficient customer interactions and data insights. Your analytical skills will help in improving the performance and scalability of LLM applications while ensuring adherence to compliance and security standards. Responsibilities Develop and implement open-source LLMs for BFSI applications. Collaborate with product managers, data scientists, and software engineers to define project objectives and deliver high-quality solutions. Conduct experiments and optimize model performance using real-world datasets. Monitor and evaluate model effectiveness in production and refine models based on feedback. Stay up-to-date with the latest advancements in AI/ML to incorporate relevant best practices into the development process. Contribute to documentation and knowledge base for models and methodologies. Requirements Bachelors degree or equivalent experience in Computer Science, Engineering, or a related field. Minimum of 3+ years of experience in AI/ML development, preferably in the BFSI industry, [With hands on coding and interview will be technical, you need to demonstrate your expertise in coding without AI agents and search engine You must have built and deployed AI/ML solutions to production Proficient in programming languages such as Python and also preferably typescript and java ; Python is core requirement . Proficiency in flask,fast api framework and have built application which is compliant to security standards and performant and scalable Able to work with rdbms and nosql databases and vector databases Experience with open-source ML frameworks (e.g., TensorFlow, PyTorch). Industry experience with open-source LLM frameworks (e.g., Langchain, ollama etc...). Solid understanding of machine learning algorithms, data structures, and statistical methods. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders
Responsibilities: * Collaborate with clients on project requirements & deliverables * Provide technical expertise during implementation phases * Ensure compliance with industry standards & best practices
Role & responsibilities Job Title: Automation Specialist (Selenium, Python & Robot Framework) Location: Marathahalli, Bangalore (Onsite) Job Type: Full-Time Job Summary: We are seeking an experienced Automation Specialist with at least 3+ years of hands-on experience in Selenium, Python, and Robot Framework . The ideal candidate will have strong expertise in designing, developing, and maintaining automation frameworks for web applications, along with experience in CI/CD integration. This role also requires excellent communication skills and the ability to work directly with clients and stakeholders in a professional manner. Key Responsibilities: Design, develop, and maintain automated test scripts using Selenium, Python, and Robot Framework .Build and enhance robust automation frameworks and reusable components.Collaborate with developers, QA engineers, product teams, and clients to define automation requirements.Execute automated test cases, analyze results, and report defects.Integrate automation testing with CI/CD pipelines (Jenkins, GitHub Actions, etc.).Maintain test environments and troubleshoot automation failures.Communicate effectively with clients, providing regular updates, clarifications, and technical insights.Document automation processes, test strategies, and best practices. Required Skills & Qualifications: 3+ years of professional experience in automation testing with Selenium WebDriver, Python, and Robot Framework .Strong understanding of object-oriented programming and scripting principles.Hands-on experience building automation frameworks and libraries in Robot Framework .Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.Proficiency with version control systems (Git, SVN).Knowledge of API testing (Postman, REST Assured) is a plus. Excellent verbal and written communication skills, with proven client-facing experience. Strong analytical, debugging, and problem-solving skills.Ability to collaborate effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with cloud-based testing platforms (BrowserStack, Sauce Labs).Knowledge of performance and security testing methodologies.Familiarity with Agile/Scrum methodologies. Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field.Minimum 3 + years of relevant experience in automation testing. Compensation & Work Schedule: . Work Schedule: Monday to Saturday, 10:30 AM 7:30 PM (Alternative Saturdays Work
Role & resp Backend Engineer Generative AI (Infra) Experience Required: 2 5 Years Location: Bangalore (In-office)Brookfeild Employment Type: Full-Time About the Role We are looking for a Backend Engineer with experience in AI-based systems , particularly in building and maintaining Generative AI pipelines and scalable backend infrastructures . The ideal candidate will have a solid background in backend engineering , API design , and AI model integration , with a working understanding of LLMs, diffusion models, and multimodal AI applications . You will be responsible for developing and managing backend systems that power AI services — from model APIs to data retrieval pipelines — ensuring they run efficiently and securely in production. Experience in banking or enterprise-grade applications is highly preferred, as the role requires a strong understanding of security, performance, and compliance standards. Key Responsibilities Backend Architecture & Development Design and develop robust backend services to support AI and Generative AI workloads. Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access. Implement modular backend components for scalable, high-performance AI operations. Generative AI Pipeline Integration Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs, diffusion models, text-to-image, speech-to-text, etc.) into production environments. Implement retrieval-augmented generation (RAG) pipelines using Vector Databases like Pinecone, Weaviate, FAISS, or Milvus. Handle AI model serving and inference optimization using frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints . API Management & Optimization Develop and manage secure APIs for AI-driven services, ensuring version control, authentication (OAuth2, JWT), and scalability. Integrate third-party AI APIs (OpenAI, Anthropic, Google Gemini, Stability AI, etc.) within internal systems. Monitor API usage, optimize latency, and handle concurrency for high-throughput AI operations. System & Environment Setup Configure backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments. Manage scalable cloud environments on AWS, Azure, or GCP , ensuring load balancing and fault tolerance. Set up development environments and backend utilities for cross-functional AI and data teams. Performance & Security Optimize server performance for inference-heavy AI pipelines through caching, queuing, and load balancing. Ensure compliance with data privacy and security regulations, especially in financial and regulated domains. Implement observability tools for monitoring, tracing, and performance analytics. Collaboration Work closely with AI/ML engineers, data scientists, frontend developers, and DevOps teams. Contribute to architecture discussions, documentation, and backend process improvements. Participate in agile ceremonies, code reviews, and team-level technical design sessions. Required Technical Skills Languages: Python (primary), Node.js and Java Backend Frameworks: FastAPI, Flask, Django, Express.js, Spring Boot AI & Generative Tools: Familiarity with LLMs (GPT, Claude, Gemini, LLaMA, Mistral) and diffusion models (Stable Diffusion, Midjourney APIs) Experience integrating transformer models via Hugging Face or OpenAI APIs Understanding of prompt engineering concepts and model-serving best practices Databases: PostgreSQL, MongoDB, Redis, Elasticsearch Vector Databases: Pinecone, Weaviate, Milvus, FAISS (for RAG systems) Infrastructure & DevOps: Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run Monitoring: Prometheus, Grafana, ELK Stack, New Relic API Technologies: REST, GraphQL, gRPC Preferred Qualifications Experience with AI product backend systems or enterprise/banking-grade software applications . Exposure to AI pipeline orchestration tools (LangChain, LlamaIndex, or Haystack). Understanding of model lifecycle management , vector embeddings , and inference scaling . Familiarity with data encryption, tokenization, and compliance frameworks (PCI DSS, ISO 27001, etc.). Soft Skills Strong problem-solving and debugging skills. Excellent communication and collaboration with cross-functional teams. High attention to detail and performance optimization. Curiosity and enthusiasm for emerging AI technologies and architectures. Education Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline. Certifications in AI/ML , Cloud Architecture , or Backend Development are a plus. Why Join Us Work at the intersection of backend engineering and Generative AI innovation . Build production-ready systems for intelligent, large-scale applications. Collaborate with a team pushing the boundaries of applied AI and infrastructure optimization. onsibilities Preferred candidate profile
Job Title: Generative AI Developer Backend Location: Brookfield, Bangalore (In-Office) Work Timing: 9:00 AM 6:00 PM Work Days: Monday to Saturday ( Alternate Saturday OFF ) Experience Required: 25 Years Employment Type: Full-Time About the Role We are hiring a Generative AI Backend Developer to build and manage backend infrastructures for AI-driven systems. You will be responsible for integrating LLMs, RAG pipelines, and AI inference services into secure, scalable production environments — with high performance and compliance standards. Key Responsibilities Backend Architecture & API Development Build scalable microservices for AI/GenAI workloads Develop REST / GraphQL / gRPC APIs for inference & data retrieval Implement high-performance backend components & modular services Generative AI & RAG Pipeline Integration Integrate LLMs, diffusion models & multimodal AI (text, image, speech) Build RAG pipelines with Pinecone / Weaviate / Milvus / FAISS Optimize model serving using FastAPI, TorchServe, TensorFlow Serving API Security, Scaling & Optimization Implement JWT/OAuth2 authentication, versioning, throttling Integrate external AI APIs like OpenAI, Gemini, Anthropic, Stability AI Reduce inference latency and optimize concurrency & performance Infrastructure & Deployment Deploy with Docker, Kubernetes, GitLab/Jenkins CI/CD Manage AWS / GCP / Azure cloud scaling, load balancing Implement monitoring with Prometheus, Grafana, ELK Performance, Security & Compliance Apply caching, batching & async processing for speed Enforce data privacy, encryption & financial/compliance standards Maintain observability & failure recovery readiness Required Technical Skills CategoryTechnologies Languages Python (Primary), Node.js, Java Backend Frameworks FastAPI, Flask, Django, Express.js, Spring Boot AI/GenAI GPT, LLaMA, Mistral, Gemini, Hugging Face, LangChain (bonus) Databases PostgreSQL, MongoDB, Redis, Elasticsearch Vector DBs (RAG) Pinecone, Weaviate, Milvus, FAISS DevOps & Infra Docker, Kubernetes, CI/CD, AWS/GCP API REST, GraphQL, gRPC Monitoring Prometheus, Grafana, ELK, New Relic Preferred Qualifications Experience with banking/enterprise-grade backend systems Exposure to LangChain, LlamaIndex, Haystack Knowledge of tokenization, encryption, ISO/PCI compliance Experience with AI pipeline scaling & model lifecycle mgmt Soft Skills Strong problem-solving & debugging mindset Excellent communication & teamwork High attention to performance, scalability, and accuracy Passion for AI innovation & emerging tech Why Join Us Work at the intersection of AI + scalable infrastructure Build production-grade intelligent systems used at enterprise scale Opportunity to innovate & lead in next-gen AI engineering
Job Title: FLEXCUBE Technical Consultant / Developer Experience: 2 to 3 Years Location: Marathahalli, Bangalore Employment Type: Full-time Domain: Core Banking Oracle FLEXCUBE Job Summary: We are seeking a proactive and technically strong FLEXCUBE Technical Consultant to join our team in Marathahalli, Bangalore. The ideal candidate will have 2–3 years of experience in PL/SQL development, FLEXCUBE customization, and end-to-end implementation. This role requires strong problem-solving abilities, good knowledge of banking modules, and experience with Oracle RAD tools. Key Responsibilities: Design and implement PL/SQL scripts, stored procedures, and backend components.Customize FLEXCUBE modules using Oracle RAD (UI forms, workflows, business rules).Assist in the installation and setup of FLEXCUBE environments (DEV/TEST/PROD).Troubleshoot issues and provide quick resolutions across key modules.Collaborate with QA, Business Analysts, and Project Managers to deliver robust solutions.Analyze logs and trace files to fix bugs and implement patches.Work independently with minimal supervision, displaying strong ownership and initiative. Required Skills: Strong PL/SQL Development Hands-on experience with database scripting, batch jobs, data corrections. FLEXCUBE 12.x and Higher Expertise Experience in customization, upgrades, or implementations.Exposure to FLEXCUBE 14.x features is a plus. Oracle RAD Customization Skills Ability to modify workflows, forms, and dynamic scripting.Proficiency in UI customization and form builder. FLEXCUBE Environment Setup Installation experience across DEV, TEST, and PROD environments.Knowledge of Oracle WebLogic, DB configurations, and deployment automation. Module Expertise & Debugging CASA (Current & Savings Accounts)CL (Consumer Lending)RT (Retail & Corporate Transactions)IC (Interbank & Clearing)Strong debugging and problem-solving abilities. Self-Driven and Fast Learner Comfortable learning new tools and processes independently. Efficient Bug Fixing & Log Analysis Quick resolution of issues by analyzing logs and applying suitable patches. Nice to Have: Exposure to FLEXCUBE integrations with external systems (OFSAA, OBIEE, etc.).Understanding of Agile methodologies or SDLC in BFSI domain.Oracle certification or FLEXCUBE-specific training. Role & responsibilities Preferred candidate profile
job Description: Backend Developer Java + Oracle / PostgreSQL / MongoDB + DevOps Location: Marathahalli, Bangalore Experience: 4+ years Employment Type: Full-time Work Mode: Onsite About the Role: We are looking for a skilled Backend Developer with 4+ years of experience in Java , modern backend frameworks, and databases such as Oracle , PostgreSQL , or MongoDB . The ideal candidate has also worked with DevOps tools and can contribute to deployment, CI/CD, and basic containerization. This is an onsite role at our office in Marathahalli, Bangalore , offering a startup-like work environment with a strong ownership culture. Key Responsibilities: Develop and maintain scalable backend applications using Java , Spring Boot , and REST APIs .Work on data modeling and query optimization using Oracle PL/SQL , PostgreSQL , or MongoDB .Build and integrate microservices and internal APIs.Participate in Agile development including sprint planning, daily standups, and retrospectives.Collaborate with QA, frontend, and DevOps teams for feature delivery and deployment.Monitor, debug, and optimize application performance in production. Required Skills: Java & Frameworks: Strong experience in Java 8+ , Spring Boot , Spring MVC , and Hibernate .Familiarity with Spring Data , Spring Security , and REST API design .Optional: Experience with Micronaut or Quarkus frameworks. Database: Hands-on experience with at least one of: Oracle – including PL/SQL, stored procedures, indexing. PostgreSQL – schema design, indexing, performance tuning. MongoDB – NoSQL schema design, aggregation framework. DevOps & Deployment: Experience with Git , GitHub , or GitLab for version control and branching workflows.CI/CD pipeline setup using tools like: JenkinsGitHub ActionsGitLab CI/CD Proficient in Docker (creating and managing containers).Basic understanding of Kubernetes (deployments, services, config maps).Familiarity with environment configuration , secrets management, and multi-stage deployments.Exposure to monitoring and logging tools like: ELK StackPrometheus + GrafanaSplunk (nice to have) Cloud (Preferred but not Mandatory): Awareness or hands-on with AWS , GCP , or Azure – especially EC2, RDS, S3, IAM. Soft Skills: Excellent problem-solving and debugging skills.Ability to work in an onsite, fast-paced team .Good communication and time-management skills.Ownership mindset and startup work culture alignment. Perks & Benefits: Competitive salary based on experience and performance.Opportunity to work on cutting-edge backend systems.Flat hierarchy and direct impact on product decisions.Work with a passionate and experienced onsite team. Role & responsibilities Preferred candidate profile
Job Description QA Analyst (Banking & Financial Applications | Bangalore) Position: QA Analyst (Manual & Automation) Location: Bangalore (Brookefield) – In-Office Role Experience: 3+ Years Employment Type: Full-Time / Permanent Working Days: Monday to Saturday (Alternate Saturdays Working) Working Hours: 10:30 AM – 7:30 PM Compensation: As per industry standards About the Role We are seeking a hands-on QA Analyst to ensure high-quality delivery of our banking and financial applications. The role involves validating end-to-end business workflows, collaborating with product and engineering teams, and ensuring compliance and audit readiness. You will work across manual testing, automation testing, API testing, and support UAT cycles. Key Responsibilities Design, develop, and execute test plans , test cases , and automation scripts . Perform manual testing and build/maintain automation suites . Test REST APIs and microservices ; validate contracts, responses, and data. Identify, log, track, and close defects using standard bug-tracking tools. Participate in requirement analysis , impact assessment , and sprint meetings. Validate backend data using SQL queries (PostgreSQL/MySQL/Oracle). Prepare and publish test reports , ensure release sign-off. Maintain QA documentation for audit and compliance requirements. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 2+ years of hands-on experience in QA for enterprise applications. Strong understanding of SDLC, STLC, QA methodologies, and processes . Experience writing clear test plans and test cases . Hands-on experience with manual testing + automation (Selenium / PyTest / Robot Framework). Experience in API testing using Postman/Swagger; Rest Assured is a plus. Basic SQL knowledge; familiarity with PostgreSQL/MySQL/Oracle . Experience working in Agile/Scrum environments. Experience using Jira , TestLink, or similar QA tools. Strong analytical thinking and communication skills. Nice to have: JMeter/Gatling (performance testing). Plus: Programming knowledge in Python/Java/JavaScript . Certification Preferred: ISTQB or equivalent. Domain Advantage: Banking/Financial services testing experience. Why Join Us Work on mission-critical BFSI platforms with real business impact. Opportunity for end-to-end QA ownership and direct client exposure. Strong culture of quality, learning, and automation-first practices . Steady career growth with access to multiple products and technologies.
Job Title: Head of Technology & Product Development Banking & FinTech (UI/UX | Web | Mobile | AI/ML | QA | Automation) Experience: 5+ Years Location: Brookefield, Bengaluru, Karnataka Company: Impacto Digifin Technologies Private Limited (AI-first FinTech Product Company) Job Type: Full-time, Onsite About the Role Impacto Digifin is hiring a visionary Head of Technology & Product Development to lead the complete engineering, design, and product delivery lifecycle of our fintech product ecosystem. This role requires a strong technical leader with hands-on ability, robust product thinking, architectural depth, and the capability to manage and scale high-performing engineering teams across Backend, Frontend, Mobile, QA/Automation, AI/ML, and UI/UX . Key Responsibilities 1. Technology & Architecture Leadership Own the technology vision, architecture strategy, system scalability, and overall engineering quality. Define secure coding standards, engineering guidelines, and system design patterns. Ensure that products meet banking-grade performance, security, and compliance standards. 2. Team Leadership & Delivery Ownership Lead and mentor multidisciplinary teams across engineering and product development. Drive predictable, high-quality product releases aligned with the roadmap. Manage team hiring, training, capability development, and performance processes. Address technical debt, improve maintainability, and ensure long-term platform scalability. 3. Cross-Functional Collaboration Collaborate with Product, Sales, and Clients for scope definition, solutioning, and technical reviews. Convert business requirements into detailed technical plans and execution roadmaps. Maintain strong communication with all stakeholders, especially within BFSI domains. 4. Engineering Excellence Establish CI/CD, automated testing, observability, and performance standards. Ensure secure, stable, and reliable product releases with strong QA/Automation practices. Evaluate and adopt technologies that improve efficiency, performance, or product value. Core Technology Expectations Frontend React.js, Next.js (SSG/SSR), TypeScript, Tailwind CSS Component libraries, responsive/mobile-first UI, design systems Testing: Jest, React Testing Library, Playwright/Cypress Accessibility (WCAG), performance optimization Backend Java, Spring Boot, Hibernate, REST API development Microservices, event-driven systems Databases: Oracle, PostgreSQL, MongoDB, Redis Kafka/RabbitMQ, API gateway experience Query optimization, schema design Optional: Node.js, NestJS, Python Mobile Native Android (Kotlin/Java), iOS (Swift/Obj-C) Cross-platform: React Native or Flutter Build, signing, and app store deployments AI / Data (Good to Have) Understanding of TensorFlow, PyTorch, HuggingFace Knowledge of LLMs, RAG, embeddings, vector DBs AI feature integration experience is a plus DevOps / Cloud / Observability Docker, Kubernetes CI/CD: GitHub Actions, GitLab CI, Jenkins AWS / Azure / GCP (EC2, S3, IAM, RDS) Monitoring: Prometheus, Grafana, ELK/EFK, Sentry QA & Automation Selenium, Playwright, Cypress, RestAssured, Appium Test strategy, regression planning, automation pipelines QA integration into CI/CD workflows Security & Compliance OWASP Top 10, secure coding practices Understanding of PCI DSS, ISO 27001, GDPR basics Experience working in regulated BFSI systems preferred Design & Collaboration Figma, Adobe XD Agile tools: Jira, Confluence Good understanding of UX fundamentals and user flows Cross-Functional Understanding (Basic Must-Haves) AML/Compliance fundamentals: KYC, sanctions, transaction monitoring UI/UX basics: wireframes, user journeys, accessibility QA basics: test strategy, smoke/regression cycles Product management fundamentals: roadmaps, prioritization, stakeholder communication Qualifications 5+ years of experience in software development and engineering leadership roles. Proven experience delivering scalable, secure fintech or enterprise-grade products. Strong architecture, system design, and technical decision-making skills. Hands-on skill in at least two domains: Backend, Frontend, Mobile, QA, DevOps, AI. Experience leading small to mid-sized technical teams. What We Offer Leadership ownership across technology & product engineering Rapid growth in a high-impact, AI-first fintech environment Competitive compensation and performance-driven career path Collaborative and modern engineering culture Onsite role at Brookefield, BengaluruRole & responsibilities Preferred candidate profile
Job Description: AI Engineer Experience: 2 to 3 Years Location: Bangalore (On-site) Employment Type: Full-Time Role Overview We are seeking a highly skilled AI Engineer with strong experience in building, training, and deploying traditional and deep learning models. The ideal candidate has hands-on exposure to AI applications in fintech such as credit scoring, fraud detection, chatbots, or voice banking. This role involves working on production-grade AI systems, research prototypes, and collaborating with cross-functional engineering teams. Key Responsibilities Design, develop, and deploy AI/ML models for prediction, classification, scoring, and automation. Build and evaluate models using TensorFlow, PyTorch, Scikit-learn , and Hugging Face . Implement ML pipelines including data preprocessing, feature engineering, training, validation, and model serving. Develop deep learning solutions for NLP, document intelligence, computer vision, and voice AI . Support voice-based projects (Speech-to-Text, Text-to-Speech, conversational AI). Integrate LLM and AGI-driven solutions using OpenAI APIs, LangChain , and similar frameworks. Work closely with backend and data teams to integrate models into production environments. Conduct model monitoring, drift detection, evaluation, and retraining. Stay current with new AI frameworks, cloud ML tools, and best practices. Participate in research initiatives and proof-of-concept development. Required Skills & Expertise Strong programming skills in Python , with good grasp of algorithms and data structures. Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face , LLMs, and OpenAI APIs. Experience in machine learning (supervised/unsupervised), NLP, computer vision, and predictive analytics. Experience deploying models on AWS, Azure, or GCP . Knowledge of MLOps , including model versioning, Docker, CI/CD, and monitoring. Familiarity with SQL/NoSQL databases, ETL workflows, and data pipelines. Understanding of voice AI technologies and LLM-based architectures. Knowledge of AGI concepts is an added advantage. Preferred Domain Experience AI use cases in: Core banking Credit risk modeling Fraud/anomaly detection Customer analytics Chatbots and voice banking Experience working with banks, NBFCs, or fintech platforms preferred. Soft Skills Strong analytical and problem-solving abilities. Clear communication skills for cross-functional collaboration. Research-oriented mindset with adaptability to emerging technologies. Ability to independently own end-to-end tasks, while also working well within a team. Commitment to documentation, learning, and mentoring juniors when required. Education Bachelors or Master’s degree in Computer Science, AI, Data Science, Machine Learning, or related field. Relevant certifications in AI/ML, deep learning, or cloud ML are preferred. Compensation & Benefits Competitive salary based on experience and skills. Opportunity to work on cutting-edge AI, LLM, and fintech solutions. Collaborative and growth-focused work environment. Role & responsibilities Preferred candidate profile
Description We are seeking a highly organized and proactive Personal Assistant to provide comprehensive administrative support to our executives in the IT product sector. The ideal candidate will have experience in managing multiple tasks efficiently while maintaining a high level of professionalism. This role is essential for ensuring the smooth operation of our executive team, contributing to various projects and communications, and improving overall productivity. Responsibilities Manage executive schedules, including appointments, meetings, and travel arrangements. Support both personal and professionally Willing to travel for domestic and international travel along with the executive Prepare and edit correspondence, reports, and presentations. Act as a point of contact between executives and internal/external clients. Coordinate and organize events, including team meetings and conferences. Maintain confidential information and handle sensitive matters with discretion. Assist in project management tasks as required by executives. Perform general office duties, including filing and data entry. Requirements Minimum 4 years of experience in a personal assistant or administrative role, preferably in the IT industry. Bachelor's degree in a relevant field (B.A., B.Com., B.Sc., B.Tech). Strong organizational and time management skills. Excellent verbal and written communication abilities. Proficiency in MS Office Suite (Word, Excel, PowerPoint, Outlook). Aptitude for problem-solving and handling unexpected situations calmly. Ability to work independently and prioritize tasks effectively.
Job Description â QA Analyst (Banking & Financial Applications | Bangalore) Position: QA Analyst (Manual & Automation) Location: Bangalore (Brookefield) | In-Office Role Experience: 2+ years relevant experience Employment Type: Full-Time / Permanent Working Days: Monday to Saturday (Alternate Saturdays Working) Working Hours: 10:30 AM â 7:30 PM Compensation: As per industry standards About The Role We're seeking a hands-on QA Analyst to ensure the delivery of high-quality banking and financial applications. You'll validate end-to-end business workflows, collaborate with product and engineering, and uphold compliance and audit readiness. Key Responsibilities Design, develop, and execute test plans, test cases, and automation scripts for functional, regression, and integration testing. Perform manual testing and build/maintain automation suites. Test REST APIs and microservices; validate responses, contracts, and data. Log, track, and close defects using standard bug-tracking tools; drive root-cause discussions. Participate in requirement analysis, impact assessment, and sprint ceremonies. Validate data using SQL and support UAT; publish test reports and release sign-off. Maintain QA artifacts for audit and compliance. Required Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2+ years in software testing (QA) for enterprise applications. Strong grasp of SDLC, STLC, QA methodologies, tools, and processes. Proven experience writing clear, comprehensive test plans and test cases. Hands-on with manual testing and test automation (Selenium / PyTest / Robot Framework; Cypress or Playwright is a plus). API testing experience using Postman/Swagger; familiarity with Rest Assured preferred. Basic SQL skills and database familiarity (PostgreSQL/MySQL/Oracle). Experience in Agile/Scrum environments and use of tools like Jira , TestLink, or similar. Solid analytical thinking, documentation, and communication skills. Nice to have: Performance testing exposure (JMeter/Gatling). Bonus: Programming knowledge in Java/Python/JavaScript for automation. Certification: ISTQB (or equivalent) preferred. Domain: Banking/Financial services exposure is an advantage. Why Join Us Work on mission-critical BFSI platforms with real user impact. End-to-end QA ownership, client exposure, and clear growth paths. Collaborative team focused on quality, learning, and automation-first practices. Copy-only version (just the Skills section) Bachelor's in CS/Engineering or related. 2+ years QA (enterprise apps); strong SDLC/STLC & QA process knowledge. Test plan/case authoring; manual + automation (Selenium/PyTest/Robot; Cypress/Playwright plus). REST API testing (Postman/Swagger; Rest Assured nice to have). SQL basics; PostgreSQL/MySQL/Oracle familiarity. Agile/Scrum experience; Jira/TestLink or similar. Strong analytical & communication skills. Performance testing (JMeter/Gatling) â nice to have. Programming in Java/Python/JS for automation â plus. ISTQB (or equivalent) preferred. Banking/Financial domain exposure â advantage.