Salesforce CPQ Specialist

Job Position: Lead II - Software Engineering

Domain: Information technology (IT)

Location: India - Thiruvananthapuram

Salary: Best in Industry

Job Positions: 1

Experience: 8 - 12 Years

Skills: .Net, Sql Azure, Rest Api, Vue.Js

Notice Period: Immediate – 30 Days

Job Summary:

We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.

Key Responsibilities:

• Design, develop, and maintain scalable and secure .NET backend APIs.
• Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
• Lead and contribute to Agile software delivery processes (Scrum, Kanban).
• Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
• Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
• Implement unit and integration testing to ensure code quality and system stability.
• Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
• Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
• Mentor and coach engineers within a co-located or distributed team environment.
• Maintain best practices in code versioning, testing, and documentation.

Mandatory Skills:

• 7+ years of .NET development experience, including API design and development
• Strong experience with Azure Cloud services, including:
• Web/Container Apps
• Azure Functions
• Azure SQL Server
• Solid understanding of Agile development methodologies (Scrum/Kanban)
• Experience in CI/CD pipeline design and implementation
• Proficient in Infrastructure as Code (IaC) – preferably Terraform
• Strong knowledge of RESTful services and JSON-based APIs
• Experience with unit and integration testing techniques
• Source control using Git
• Strong understanding of HTML, CSS, and cross-browser compatibility

Good-to-Have Skills:

• Experience with Kubernetes and Docker
• Knowledge of JavaScript UI frameworks, ideally Vue.js
• Familiarity with JIRA and Agile project tracking tools
• Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
• Experience mentoring or coaching junior developers
• Strong problem-solving and 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.

Job Description

QA Automation Engineer:

smartSense Consulting Solutions is looking for a dynamic QA automation engineer. As an Automation Test Engineer, you will be responsible for planning and implementing tests that prove the functional and non-functional requirements of the system.

The candidate should have a working knowledge of software and test design, the capability to run through tests, and the ability to analyze the results. Ultimately, the Software Tester should be result-driven, have good communication skills, and have up-to-date knowledge of software programming and software test design.

Job Role

• Test and check that the software meets major architectural requirements
• Check for scalability and performance of a software
• Ensuring the quality of the system as a whole
• Work with software developers, UI/UX Designers, and Product
• Develop and automate tests for software validation
• Detect bugs and inconsistencies
• Prepare file defect reports and report test progress

Requirements

• 5+ years of experience as a Software Testing Engineer with hands-on experience in an agile, fast-paced environment
• Hands-on experience to design test automation frameworks from scratch
• Defining and executing system integration tests of connected products across supported platforms(iOS+Android+Web) to ensure the end-to-end quality of a product
• Analyze, design, and build automated test cases based on system requirements and design specifications
• Take ownership and responsibility for the design and development of all aspects of automated testing along with the creation, execution, and maintenance of automated scripts
• Strong expertise in Selenium web driver automation framework
• Hands-on experience using Playwright
• Experience with REST API testing automation.
• Strong understanding of Core JAVA and OOPs Concepts.
• Experience in Java Integrated Development Environment (eg: Eclipse IDE, etc.)
• Experience with test-driven development.
• Knowledge of the use of version control systems such as SVN or GIT
• Ability to quickly research and learn new programming tools and techniques
• Always open to suggestions or back big ideas
• Excellent knowledge of testing skills (design test plan and test strategy, writing test cases, executing test cases, opening bugs, verifying bugs)
• Hands-on experience in SQL/database
• Work closely with the client and other stakeholders across the globe
• 
  

Soft Skills :

• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills

Required Skills:

• Test automation framework
• Selenium web driver
• Playwright
• Java
• REST API’s/REST Assured
• Oop’s Concept

Good to have Skills:

• Knowledge of SAP & Salesforce would be an added advantage
• Mobile application automation testing
• Katalon Studio
• Appium

Job Overview:

We are looking for a detail-oriented and proactive Apparel Merchandiser to manage the end-to-end merchandising process. The candidate will be responsible for coordinating with buyers, vendors, and internal teams to ensure timely production, quality standards, and cost efficiency.

Key Responsibilities:

• Manage the complete merchandising cycle from order booking to final delivery
• Coordinate with buyers for product development, sampling, and approvals
• Work closely with design, production, and quality teams
• Source fabrics, trims, and accessories as per buyer requirements
• Follow up on sampling, costing, and order confirmations
• Ensure timely production and delivery as per deadlines
• Monitor product quality and ensure compliance with buyer standards
• Handle vendor management and maintain strong relationships
• Track order status and prepare reports (WIP, TNA, etc.)
• Negotiate pricing and ensure cost optimization

Key Skills Required:

• Strong knowledge of garment manufacturing and merchandising processes
• Good understanding of fabrics, trims, and production techniques
• Excellent communication and coordination skills
• Strong negotiation and problem-solving abilities
• Ability to manage multiple orders and deadlines
• Proficiency in MS Excel and reporting tools

Qualifications:

• Bachelor’s degree in Fashion Technology / Textile / Apparel Merchandising or related field
• Relevant industry experience in apparel/export houses/retail brands

Preferred Industry Experience:

• Garment Export Houses
• Buying Houses
• Retail / Fashion Brands

Assist in the recruitment process, including sourcing candidates, scheduling interviews, and conducting background checks.

Support the onboarding process for new hires, ensuring a smooth and seamless transition into the organization.

Maintain accurate and up-to-date HR records, including employee files, attendance records, and employee data.

Collaborate with the HR team to develop and implement HR policies and procedures.

Participate in HR projects, such as employee engagement initiatives, training programs, and performance management.

Conduct research and analysis on HR trends and best practices, and provide recommendations to the HR team.

Provide administrative support to the HR team, including scheduling meetings, preparing reports, and coordinating events.

Ensure compliance with all relevant HR laws and regulations.

Requirements:

Currently pursuing a degree in Human Resources, Business Administration, or a related field.

Excellent communication and interpersonal skills.

Strong organizational and time management skills.

Proficiency in Microsoft Office, particularly Excel and Word.

Ability to work independently and as part of a team.

Strong attention to detail and ability to handle confidential information with discretion.

Familiarity with HR principles and practices.

Previous internship or work experience in HR is a plus.

QA Manager (A) 

 ROLES AND RESPONSIBILITIES: 

·       Conducting manual and automated Mobile and Web testing that is well defined, planned, and executed 

·       Responsible for defining the automation framework (such as TestNG, BDD), creating the framework, and automating the test cases independently 

·       Has experience in GitLab for resource management and Jenkins for build creation and CI/CD 

·       Establishing automation QA strategy and best practices to support continuous development and integration 

·       Estimating, coordinating, directing testing for multiple products/projects 

·       Create clear, detailed, comprehensive, and well-structured test plans and automated test cases 

·       Perform and provide guidance/mentoring on API testing using SOAP UI or POSTMAN toolset 

·       Holding and facilitating automation and test case reviews with Agile team members 

·       Liaise with internal teams (e.g., developers and product managers) across multiple time zones to identify system requirements 

·       Stay up to date with new testing tools and test strategies 

Required Skills & Exp: 

·       8+ Years of Overall Experience in Software testing across different domains 

·       6+ years of automation experience in building and maintaining test automation frameworks within the Agile framework. 

·       Is well-versed with working in an agency environment with strong experience in Automation and Manual testing 

·       Has mandatory extensive exposure of testing Mobile Apps (iOS and Android) including relevant exposure of testing websites using Selenium (for web) and Appium (for mobiles) 

·       Strong knowledge of software QA methodologies, tools, and processes 

·       Has experience testing API’s and building automation test suites 

·       Experience in writing clear, concise, and comprehensive test plans and test cases 

·       Solid knowledge of SQL 

·       Experience working in an Agile/Scrum development process 

·       Experience with performance and/or security testing is a plus 

·       Excellent English, written, and verbal communication skills 

·       Effectively meet deadlines and troubleshoot issues while handling multiple priorities 

·       Strong problem solving and analytical skills with attention to detail 

·       Strong team player, willing to learn, and share experience/mentor with other team members and grow QA talent