Ekloud INC

3 to 5 years of experience to support and enhance Conga CPQ and ERP systems

Should have Conga CPQ/CLM expertise. Serve as SME for Conga CPQ & ERP systems

Perform system testing, validation and coordinate with business UAT testing

Expert-level knowledge in product modelling, pricing configurations, and quote management

Collaborate with teams to gather, analyze and document business requirements

Should be good at creating stories, acceptance criteria and agile processes

5+ years experience in design, build, and implementation of Configure, Price, Quote (CPQ) solutions using the Conga CPQ platform. Should have Conga CPQ/CLM expertise

Design and Development:

Develop and design Conga CPQ solutions that align with business objectives and technology best practices.

Implementation:

Lead and guide the implementation of Conga CPQ projects, ensuring seamless integration and optimal performance.

Technical Leadership:

Provide technical leadership and guidance to teams, including code reviews and establishing development standards.

Problem Solving:

Troubleshoot and resolve technical issues related to Conga CPQ, including those arising from integrations.

Integration Expertise:

Design and manage integrations between Conga CPQ and other systems, including Salesforce.

Stakeholder Management:

Collaborate with business stakeholders to understand requirements and ensure that solutions meet their needs

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Snowflake Data Engineer

Job Description:

·        Overall Experience : 5+ years of experience in Snowflake and Python.

·        Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.

·        Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.

·        Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.

·        Create and maintain optimal data pipeline architecture.

·        Good knowledge of cloud platforms like AWS/Azure/GCP

·        Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities

·        Good knowledge of Python/Py Spark, advanced features of Python

·        Support business development efforts (proposals and client presentations).

·        Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

·        Excellent leadership and interpersonal skills.

·        Eager to contribute to a team-oriented environment.

·        Strong prioritization and multi-tasking skills with a track record of meeting deadlines.

·        Ability to be creative and analytical in a problem-solving environment.

·        Effective verbal and written communication skills.

·        Adaptable to new environments, people, technologies, and processes

·        Ability to manage ambiguity and solve undefined problems.

Senior Salesforce Developer

Experience - 7 to 8 years

Norms - PF & UAN mandatory

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

·        5–6 years of hands-on Salesforce development experience, with a proven track record of delivering robust solutions on the Salesforce platform.

·        Strong expertise in Apex (classes, triggers, batch processes) and Lightning Web Components (LWC).

·        Demonstrated experience with Sales Cloud and Experience Cloud implementations.

·        Significant experience in integrating Salesforce with external systems using REST/SOAP APIs and middleware tools.

·        Deep understanding of the Salesforce Security Model (Profiles, Permission Sets, Organization-Wide Defaults, Sharing Rules).

·        Experience in configuring and optimizing Salesforce environments, including custom objects, fields, page layouts, flows, and process automation.

Key Responsibilities:

·        Design, develop, and implement custom Salesforce solutions using Apex, LWC, and other Salesforce technologies.

·        Integrate Salesforce with external applications and data sources.

·        Customize and extend Salesforce applications, including process automation and UI enhancements.

·        Configure and maintain security controls to ensure data protection and compliance.

·        Collaborate with cross-functional teams to gather requirements and deliver scalable solutions.

·        Conduct unit testing, code reviews, and performance optimizations.

·        Stay updated on Salesforce releases and best practices.

Technical Skills:

·        Apex & LWC Advanced development skills; hands-on with triggers, batch jobs, LWC modules

·        Integration REST/SOAP APIs, middleware, data migration, Metadata/Bulk API

·        Security Model Profiles, Permission Sets, OWD, Sharing Rules

·        Sales Cloud Implementation, customization, automation

·        Experience Cloud Building and managing digital experiences

·        Testing & Deployment Unit testing, deployment tools (Salesforce DX, GitHub, CI/CD)

·        Communication Strong written and verbal communication skills

Preferred Qualifications:

·        Bachelor’s degree in Computer Science, IT, or related field.

·        Experience with Agile development methodologies.

·        Familiarity with DevOps tools (e.g., Git, Copado, Gearset) and CI/CD pipelines.

·        Strong problem-solving and analytical skills.

Certifications (Optional but Preferred):

·        Salesforce Certified Platform Developer I

·        Salesforce Certified Platform Developer II

·        Salesforce Certified JavaScript Developer I

·        Salesforce Certified Sales Cloud Consultant

·        Salesforce Certified Experience Cloud Consultant

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Lead Data Scientist role

Work Location- Remote

Exp-7+ Years Relevant

Notice Period- Immediate

Job Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).

Mandatory Skills:

• 5+ years of work experience in writing code in Python

• Experience in using various Python libraries like Pandas, NumPy

• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s –  PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)

• Strong experience on AI assisted coding experience.

• AI assisted coding for existing IDE's like vscode.

• Experimented multiple AI assisted tools and done research around it.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills

• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation

 • Machine Learning libraries like Scikit-learn, XGBoost

 • Experience in CV, NLP or Time Series.

• Experience in building models for ML tasks (Regression, Classification)

• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings

• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)

• Experience in distributed training of models on Nvidia GPU’s

• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

• Strong working knowledge of source code control tools such as Git, Bitbucket

• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous

• Strong drive to learn and master new technologies and techniques

• Strong communication and collaboration skills

• Good attitude and self-motivated

Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*

Job Title: QA Salesforce Automation Engineer

Experience: 6+ Years

Location: Hybrid – Bangalore

We are seeking a highly skilled QA Salesforce Automation Engineer with 6+ years of experience to join our dynamic team in Bangalore. The ideal candidate will have a strong background in Salesforce testing, with hands-on experience in automation tools such as Selenium, Provar, or TestNG. You will be responsible for creating and maintaining automated test scripts, executing test cases, identifying bugs, and ensuring the quality and reliability of Salesforce applications. A solid understanding of Salesforce modules (Sales Cloud, Service Cloud, etc.) and APIs is essential. Experience with CI/CD tools like Jenkins and version control systems like Git is preferred. You will work closely with developers, business analysts, and stakeholders to define test strategies and improve the overall QA process. This is a hybrid role, offering flexibility and a collaborative environment focused on delivering high-quality enterprise solutions.

Immediate joiners or those with up to 15 days' notice preferred.

We are seeking a highly skilled QA Salesforce Automation Engineer with 6+ years of experience to join our dynamic team in Bangalore. The ideal candidate will have a strong background in Salesforce testing, with hands-on experience in automation tools such as Selenium, Provar, or TestNG. You will be responsible for creating and maintaining automated test scripts, executing test cases, identifying bugs, and ensuring the quality and reliability of Salesforce applications. A solid understanding of Salesforce modules (Sales Cloud, Service Cloud, etc.) and APIs is essential. Experience with CI/CD tools like Jenkins and version control systems like Git is preferred. You will work closely with developers, business analysts, and stakeholders to define test strategies and improve the overall QA process. This is a hybrid role, offering flexibility and a collaborative environment focused on delivering high-quality enterprise solutions.