Tech software Implementation Project Manager (B2B SaaS

POSITION: Sr. QA Engineer

We are looking for a seasoned and results-driven Senior QA Engineer with 7 to 8 years of experience in Manual and Automation Testing. The candidate should have deep expertise in QA

processes, strong automation skills using Python or equivalent, and the ability to lead quality initiatives for our core product suite. You won't just be finding bugs — you will be building a resilient quality ecosystem that leverages modern tools.

What You’ll Be Doing:

● Understand business requirements and convert them into test scenarios and test cases

● Perform Manual Testing including Functional, Regression, Integration, & System Testing

● Develop, maintain, and execute Automation Scripts using Python

● Identify, report, and track defects using defect management tools

● Work closely with Developers, Product Managers, and QA team members

● Lead requirement analysis, test planning, and test case reviews

● Contribute to improving QA processes and automation coverage

● Participate in sprint planning, retrospectives, and cross-functional reviews

● Identify, report, and track defects using defect management tools; manage triage and

resolution with development teams

● Catch edge cases before they become production issues

● Co-ordination is release processes

Automation Skills:

● Maintain, and extend robust Automation Frameworks ( PyTest / Selenium) for UI and

backend services as well as design patterns, and CI/CD integration

● Monitor nightly automation runs, troubleshoot defects

● Ability to design, extend, debug, and maintain test frameworks independentlyAPI and Database Testing:

● Perform contract testing and functional validation of REST APIs using Postman or similar tools.

● Write complex SQL queries to validate data pipelines, migrations

Qualifications:

● Strong understanding of Software Testing concepts

● Experience in writing Test Cases and Test Scenarios

● Experience in Defect Tracking tools (JIRA, etc.)

● Experience in CI/CD tools (Jenkins, GitHub Actions, GitLab CI)

● Experience in Agile / Scrum methodology

● Strong analytical and problem-solving skills with a 'break-it' mentality

● Good communication skills — ability to articulate quality risks to non-technical

stakeholders

● Self-motivated, quick learner, and proactive in driving quality culture

● Strong team player with empathy to help developers 'fix-it'

● Exposure to Agentic AI testing frameworks

REPORTING: This position will report to Sr. Project Manager or as assigned by Management.

EMPLOYMENT TYPE: Full-Time, Permanent

LOCATION: Jaipur (Work from Office)

SHIFT TIMINGS: 10:00 AM - 07:00 PM IST

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Job Objective:

We are seeking an experienced Developer with a strong background in C++, CUDA programming,

and Linux to guide our development team in building cutting-edge solutions for device

integration and high-performance computing tasks. This is a hands-on leadership position that

combines technical expertise with team management skills to deliver high-quality software

products.

Primary responsibilities:

Software Development:

• Develop and maintain high-performance applications using C++ and CUDA.

• Design and implement parallel algorithms for GPUs to accelerate computational

workloads.

Performance Optimization:

• Optimize CUDA kernels for performance, scalability, and memory efficiency.

• Analyze performance bottlenecks and propose innovative solutions.

Code Review and Testing:

• Conduct code reviews to ensure adherence to coding standards and best practices.

• Develop and execute test cases to validate functionality and performance.

Collaboration:

• Work closely with the software engineering and research teams to understand

requirements and deliver robust solutions.

• Provide technical guidance and mentoring to junior team members when necessary.

Documentation:

• Write and maintain technical documentation, including design specifications and user

manuals.

Required Skills:

• C++: Strong proficiency in modern C++ (C++11/14/17/20).

• CUDA Programming: Extensive experience in developing, debugging, and optimizing

CUDA applications.

• GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and

warp-level operations in CUDA.

• Parallel Computing: Solid understanding of parallel algorithms and multi-threaded

programming.

• Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and

numerical methods.

• Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or

TECHNICAL SKILLS AND EXPERIENCE:

● Profound Experience in client handling/communication from the beginning till the successful.

◾ Generate business through online portals like Upwork, Fiverr, Freelancer etc.

◾ Bringing new projects through bidding, Client communication, Proposal making/writing.

◾ Experience in handling Indian and International clients.

◾ Must have Excellent Written communication & Writing Skills.

Job Description – Magento Developer

We are looking for a Magento Developer responsible for Magento 2 related projects, and as we are a Magento extension development company, you must have knowledge of Magento 2 extensions development. You should have developed public or private extensions will be a plus.

Responsibilities:

• Develop Magento Extensions, debug and update.
• Work on Customization, Upgrade, Performance optimization, and other Magento services.
• Work on Magento Projects.
• We can give you the Extension support responsibilities too.
• Train new PHP developers for Magento developments from scratch.

Requirements:

• Strong knowledge of PHP and Magento 2.
• Magento 2 Extension development experience.
• Understanding the fully synchronous behaviour of PHP.
• Understanding of MVC design patterns.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
• Knowledge of object-oriented PHP programming.
• Understanding accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Understanding fundamental design principles behind a scalable application.
• User authentication and authorization between multiple systems, servers, and environments.
• Integration of multiple data sources and databases into one system.
• Inventory API, payment, shipping API, web API, ERP Integration knowledge is a plus.

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Requirements:

• Strong algorithm and problem solving skills with passion to innovate.
• Good understanding of SDLC processes, practices and key tools.
• The candidate should have past or current experience in development and understands the development aspects thoroughly.
• Good exposure to working in Application performance, scalability and application security is preferred.
• Knowledge in web services (RESTful APIs), Software integrations is mandatory.
• Experience working with technologies like Java, Spring, Hibernate, JSPs, MySQL is mandatory.
• Inclination towards UI/UX and experience working in Angular is preferred.

• Strong Experience on Autosar 4.x BSW Diagnostics (UDS-IS014229) configuration and development.
• Strong Experience on DEM and FIM configuration and development.
• Knowledge on OEM specific service implementation.
• Knowledge and Experience on AUTOSAR standard, AUTOSAR configuration tools (EB Tresos, Vector Configurator DaVinci, ETAS isolar).
• Excellent programming skill in C language.
• knowledge on Requirements Engineering, Traceability and experience using any of the requirement engineering tools – DOORS
• Experience using the measurement/testing tools – CANoe, Trace32, MiniWiggler
• Excellent debugging, analytical, logical and communication skills
• Knowledge/Working Experience in Scripting languages – Python, CAPL.
• knowledge on Quality Management – Automotive SPICE
• Experience working in Agile-Scrum/Kanban development process