11+ QA management Jobs in Bangalore (Bengaluru) | QA management Job openings in Bangalore (Bengaluru)

Core Responsibilities:

• You would have the opportunity to work with a number of leading edge technologies.
• Write test cases to test code using automation frameworks, as well as create and continuously improve our test automation environment.
• Develop & maintain automated test scripts covering functional correctness using Object Oriented programming concepts, for both new features & Regression testing of existing functionality
• Understand software internals, debug code, automate repetitive tasks, and implement new tools and frameworks needed to streamline our QA process.
• Work directly with both Software Development Engineers and Product Managers to understand features, review technical implementations, and implement testing strategy.
• Plan, create and manage the overall Quality Planning strategy, design documentation for automation processes

Skills and Expertise:

• Minimum 3 Years' Experience
• Knowledge and proficiency in the use of various automated tools that are used in the
• Automated testing procedures.
• Execute interactive test procedures.
• Proficient in writing Automation scripts.
• Sound knowledge of programming and/or scripting languages. Java and Java script
• Good knowledge of SQL queries. Practical knowledge of web-based technologies
• Proven experience with Web-application Automation testing, Mobile apps testing.
• Understanding of OO concepts & its application to Automation framework
• Willingness to proactively engage in continuous process improvement
• Ability to communicate clearly with different areas of the business.
• Clarity of written communication when describing and issue or QA failure
• Experience in working with an Agile Development Methodology like Scrum
• Keen eye for detail and a commitment to excellence

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Experience - 4+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Talent Acquisition (Primary Focus)  

• Manage end-to-end recruitment for business functions (corporate + operations)  

• Understand hiring requirements and align sourcing strategies accordingly  

• Source candidates through job portals, LinkedIn, referrals, and vendor channels  

• Screen profiles, coordinate interviews, and ensure timely closures  

• Drive offer rollout, negotiation, and joining conversion  

• Maintain strong pipelines for ongoing and upcoming roles  

• Track hiring metrics such as TAT, closures, and conversion ratios  

HR Generalist Responsibilities  

• Support onboarding and induction processes  

• Maintain employee records and documentation  

• Assist in employee lifecycle management (confirmation, exits, etc.)  

• Handle employee queries and basic HR operations  

• Support engagement initiatives and HR activities  

Stakeholder Management & Reporting  

• Work closely with hiring managers for role alignment and feedback  

• Ensure adherence to hiring processes and policies  

• Share regular recruitment trackers and reports 

KPI (Metrics to evaluate):  

• Monthly hiring closures  

• Time to hire (TAT)  

• Offer-to-join ratio  

• Candidate experience  

• Early attrition  

Who You Are (Must-Haves):  

Key Skills Required  

• Strong recruitment and sourcing capability  

• Ability to work in a target-driven, fast-paced environment 

 • Good communication and stakeholder management skills  

• Basic understanding of HR operations  

• Strong coordination and execution skills 

Job Responsibilities:

Make outbound calls to potential customers.

Explain health insurance products clearly and accurately.

Convince customers politely and close sales.

Follow up with interested leads and maintain call records.

Update daily call status and reports.

Maintain professionalism and good customer interaction.

Other Requirements:

Must speak Kannada fluently and have basic English knowledge.

Good communication and convincing skills.

Comfortable with calling and sales roles.

Freshers with a positive attitude are welcome.

Willingness to learn and grow in telesales.

Immediate joiners preferred.

Please find the JD for Instructional designer position below:

Job Title: Instructional Designer & Content Developer

Location: Mumbai, Maharashtra

Job Type: Full-Time, Permanent

Experience: Minimum 3 years as an Instructional Designer

Responsibilities:

1. Apply instructional design theories, such as ADDIE, Bloom's Taxonomy, and adult learning principles, to create effective and learner-centric training materials.

2. Demonstrate a solid background in e-learning design principles, staying updated on industry trends and best practices.

3. Collaborate with stakeholders to identify learning objectives and analyze the target audience's needs, characteristics, and existing knowledge.

4. Develop visually appealing and interactive storyboards using MS PowerPoint to outline the flow and structure of e-learning modules.

5. Create engaging and compelling scripts and narrations for instructional videos, ensuring alignment with learning objectives.

6. Develop instructional materials, including presentations, e-learning modules, videos, and assessments, ensuring they are engaging, informative, and meet the defined learning outcomes.

7. Proficiently use Articulate Storyline to design and develop interactive e-learning modules that enhance the learning experience.

8. Edit and enhance video content using Camtasia, ensuring a seamless and engaging visual experience for learners.

9. Possess a strong understanding of Learning Management Systems (LMS) and the ability to integrate e-learning content into various platforms.

10. Communicate complex ideas effectively through clear and concise written content, ensuring a high standard of English proficiency.

11. Gather feedback from learners and stakeholders to refine and enhance instructional materials, making improvements based on constructive input.

12. Stay informed about industry trends, educational technologies, and instructional design methodologies, participating in professional development opportunities.

Qualifications:

1. Bachelor's degree in Instructional Design, Education, or a related field, or certification or diploma in Instructional Design.

2. Strong understanding of instructional design principles and adult learning theories.

3. Proficiency in using instructional design software and tools (Articulate Storyline, Camtasia, Adobe Illustrator).

4. Excellent communication and collaboration skills.

5. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team.

Are you looking for a Senior Backend Engineer role in a high growth startup? Are you eager to learn and make a difference at work every day? If so, then read on.

At PlumQR, we work on revolutionizing the Food & Beverage industry with our cloud-based tech products. Millions of businesses across the world are switching for better, smarter & more hygienic products to reinvent their businesses. If you have what it takes to innovate & lead, we have just the right opportunity for you.

Requirements

• Minimum 3 years as a Senior Backend Engineer
• Strong software development experience in a SaaS product company
• Significant experience with NodeJS, React.js, React Native, MySQL, MongoDB, Java
• Cloud computing services (e.g. Google Cloud Platform)
• Strong problem-solving skills
• Ability to explain technical details to people inside the company

• You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You can write code preferably in Golang and Python.
• You have experience with debugging production issues and writing RCAs.
• You have demonstrable stories of being on-call and how outages have been handled.
• You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
• You have worked with Cloud Native (CNCF) technologies.
• You have experience automating CI/CD pipelines.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company