Current Jobs

Experience: 10 Years

Budget: 1.3L-2L

JD:

Role Overview

The Salesforce Marketing Cloud Architect is a pivotal senior technical leadership role, responsible for the strategic design and delivery of scalable, data-driven, and personalized customer engagement solutions. This encompasses expertise across Salesforce Marketing Cloud, Salesforce Personalization (Interaction Studio), and Salesforce Data Cloud (CDP). The ideal candidate will bridge marketing strategy, data architecture, and technical execution, empowering clients to orchestrate real-time, personalized experiences across diverse channels. This role requires close collaboration with marketing, CRM, and data teams to define future-state marketing architectures, integrate complex systems, and operationalize advanced audience activation and personalization strategies.

Key Responsibilities

Solution Architecture & Technical Leadership

•Serve as the primary architect and trusted advisor for Salesforce Marketing Cloud, Personalization (Interaction Studio), and CDP implementations.

•Define comprehensive end-to-end solution architectures, covering audience ingestion, identity resolution, segmentation, activation, and real-time engagement.

•Design robust integration frameworks between Data Cloud, Marketing Cloud, and CRM systems (Sales/Service/Experience Cloud) to ensure unified customer data and seamless orchestration.

•Architect sophisticated personalization use cases leveraging Interaction Studio (Personalization), including web and app behavioral tracking, decisioning, and real-time recommendations.

•Enable cross-cloud activation by integrating CDP segments with Marketing Cloud journeys, digital channels, and advertising destinations.

•Ensure data privacy, consent management, and governance frameworks are meticulously embedded into all design and implementation phases.

Delivery Ownership & Execution Excellence

•Lead discovery and design workshops with client marketing, data, and technology teams, translating business needs into technical specifications.

•Define detailed technical design documents, data schemas, and API specifications.

•Oversee Salesforce Marketing Cloud (SFMC) solution builds across Email Studio, Journey Builder, Mobile Studio, Cloud Pages, and Automation Studio.

•Build scalable personalization frameworks utilizing Einstein Recommendations, Einstein Engagement Scoring, and Personalization Recipes.

•Support end-to-end implementation processes, including data ingestion, transformation, campaign orchestration, and rigorous testing.

•Collaborate with data engineering teams to establish efficient data integration pipelines between CDP and external data sources.

•Define and enforce technical standards, performance best practices, and DevOps processes (CI/CD, source control, automated deployment).

Client & Team Leadership

•Act as a Solution Architect within client and internal teams, effectively translating marketing goals into actionable data and technology enablement plans.

•Partner with strategy and delivery leads to define comprehensive roadmaps for Marketing Automation, Personalization, and CDP maturity.

•Guide cross-functional teams (developers, analysts, campaign specialists) through architecture and delivery best practices.

•Conduct enablement sessions to upskill client teams on platform capabilities and optimal operating models.

•Support pre-sales activities and RFP responses through technical scoping, solution definition, and accurate estimation.

Required Skills & Experience

Core Salesforce Expertise

•10+ years of total Salesforce experience, with a minimum of 6+ years hands-on experience in Salesforce Marketing Cloud.

•Deep technical proficiency with:

•Marketing Cloud: Email Studio, Journey Builder, Mobile Studio, Automation Studio, Cloud Pages.

•Personalization (Interaction Studio): Real-time decisioning, web/app personalization, behavioral tracking, and recipe configuration.

•Data Cloud (CDP): Data modeling, identity resolution, calculated insights, and activation to Marketing Cloud.

•Strong command of AMPscript, SSJS, SQL, REST/SOAP APIs, and external integrations.

•Hands-on experience integrating SFMC with Sales/Service Cloud, Data Cloud, and external systems via APIs or middleware (MuleSoft preferred).

Architecture & Data Skills

•Strong understanding of data architecture, segmentation strategy, and ETL pipelines.

•Knowledge of real-time data streaming and audience activation frameworks.

•Ability to design for scalability, security, and compliance (GDPR, CCPA).

•Experience defining enterprise marketing data models and customer identity resolution logic.

Leadership & Consulting Skills

•Proven experience leading multi-cloud implementations or transformation programs.

•Strong stakeholder management and communication skills, capable of bridging business, marketing, and IT teams.

•Skilled at conducting workshops, whiteboarding sessions, and solution demonstrations.

•Experience working in consulting or agency environments, delivering across multiple clients and domains.

Certifications

•Salesforce Marketing Cloud certifications (Developer, Consultant, or Administrator).

•Salesforce Certified Data Cloud Consultant and/or Salesforce Personalization Accredited Professional preferred.

•Additional certifications across Salesforce Core Clouds or MuleSoft are a plus.

Experience: 6+Year

Budget: 1L-1.4L

JD:

Role Overview

We are seeking a highly skilled and experienced PHP Yii Developer to join our dynamic team. The ideal candidate will be responsible for the development, maintenance, and enhancement of enterprise-level web applications using the Yii Framework, with a strong preference for Yii2. This role requires a professional who can deliver high-quality, scalable, and well-documented code, collaborate effectively with cross-functional teams, and contribute significantly throughout the entire software development lifecycle.

Key Responsibilities

•Design, develop, and maintain robust web applications primarily using the PHP Yii Framework (Yii2 preferred).

•Write clean, efficient, reusable, and well-documented code that adheres to established coding standards and best practices.

•Design and implement RESTful APIs, and seamlessly integrate with various third-party services.

•Proactively identify and resolve performance bottlenecks, and troubleshoot production issues to ensure optimal application functionality.

•Collaborate closely with UI/UX designers, Quality Assurance (QA) engineers, and Product Owners to translate requirements into technical solutions.

•Actively participate in code reviews, providing constructive feedback and ensuring code quality.

•Adhere to Agile/Scrum methodologies, contributing to sprint planning, daily stand-ups, and retrospectives.

•Develop comprehensive unit and integration tests to guarantee the reliability and quality of applications.

•Manage source code effectively using Git for version control, including branching, merging, and pull requests.

Technical Skills (Mandatory)

•Strong expertise in PHP 7/8: Demonstrable proficiency in modern PHP development.

•Hands-on experience with Yii2 Framework: Proven track record of developing applications using Yii2.

•Good understanding of MVC architecture: Solid grasp of Model-View-Controller design patterns.

•MySQL/PostgreSQL database design and optimization: Ability to design efficient database schemas and optimize queries.

•REST APIs and JSON: Experience in building and consuming RESTful services.

•HTML5, CSS3, JavaScript, jQuery: Front-end development skills for interactive web interfaces.

•Bootstrap/Tailwind CSS: Proficiency in responsive front-end frameworks.

•Git/GitHub/GitLab: Competence in version control systems.

•Linux environment: Familiarity with development and deployment in a Linux environment.

•Composer dependency management: Experience managing PHP project dependencies.

Technical Skills (Good to Have)

•Docker: Experience with containerization for development and deployment.

•Redis: Knowledge of in-memory data structures store for caching and message brokering.

•RabbitMQ: Experience with message queueing systems.

•AWS/Azure: Familiarity with cloud platforms.

•CI/CD (GitHub Actions, Jenkins): Experience with continuous integration and continuous deployment pipelines.

•PHPUnit: Proficiency in PHP unit testing framework.

•Jira: Experience with project management and issue tracking tools.

Soft Skills

•Strong communication skills in English: Excellent verbal and written communication abilities.

•Ability to work independently: Self-motivated and capable of managing tasks autonomously.

•Ownership and accountability: Takes responsibility for tasks and outcomes.

•Team collaboration: Works effectively within a team environment.

•Reliable and proactive: Dependable and takes initiative.

•Problem-solving mindset: Strong analytical and problem-solving capabilities.

Experience: 7 Years

Budget: 1.1L-1.7L

JD:

Role Overview and Responsibilities

This role involves developing and implementing comprehensive Salesforce Data Cloud solutions. The developer will be responsible for configuring core Data Cloud components such as Data Streams, Data Model Objects (DMOs), Identity Resolution Rules, Unified Profiles, and Data Spaces. A key aspect of the role is building customer segmentation, Calculated Insights, Activation workflows, and audience publishing, ensuring seamless integration with various Salesforce clouds and external applications.

Category	Key Responsibilities
Development	Implement Salesforce Data Cloud solutions for enterprise customer data platforms.
Configuration	Configure Data Streams, DMOs, Identity Resolution, Unified Profiles, and Data Spaces.
Data Management	Build segmentation, Calculated Insights, Activation workflows, and audience publishing.
Integration	Integrate Data Cloud with Salesforce CRM, Marketing Cloud, external CDPs, and data lakes.
API Development	Develop APIs and integration services using REST/SOAP, MuleSoft, or middleware.
Deployment & Monitoring	Support deployments across environments; monitor data quality and system health.
Collaboration	Work with Solution Architects, Business Analysts, and stakeholders to translate requirements.
Documentation	Prepare technical documentation including solution design and data mappings.
Best Practices	Follow Salesforce development best practices and contribute to reusable frameworks.

Technical Expertise and Skills

Candidates must possess strong technical skills in Salesforce Data Cloud, including proficiency in SQL for data manipulation and analysis. Experience with data ingestion pipelines from diverse sources like CRM, ERP, and marketing automation platforms is essential. Familiarity with cloud data platforms such as Snowflake, Databricks, AWS, Azure, or GCP is desirable. The role also requires an understanding of customer identity management, consent management, data governance, and privacy regulations (GDPR, CCPA).

Skill Domain	Core Competencies
Salesforce Data Cloud	Data Streams, DMOs, Data Spaces, Identity Resolution, Unified Individual Profiles, Data Actions.
Data Processing	SQL for segmentation, Calculated Insights, data transformations, and analytics.
Integrations	REST APIs, SOAP APIs, Platform Events, MuleSoft.
Salesforce Clouds	Marketing Cloud Engagement/Growth/Next, Sales Cloud, Service Cloud, Experience Cloud.
Data Governance	Customer identity, consent management, data governance, privacy regulations (GDPR, CCPA).
DevOps	Git, CI/CD pipelines, Agile delivery, DevOps practices.
Desirable Skills	Python or JavaScript for automation and data processing.
Cloud Platforms	Snowflake, Databricks, AWS, Azure, GCP.

Qualifications and Certifications

To excel in this role, candidates should have a solid background in Salesforce development and a proven track record in Data Cloud implementations. While a Salesforce Certified Data Cloud Consultant is preferred, Salesforce Platform Developer I and Salesforce Administrator certifications are also highly valued. Beyond technical prowess, strong analytical, problem-solving, and communication skills are crucial for collaborating with various stakeholders and mentoring junior

Experience: 10+ Years

Budget: 1.3L-1.9L

JD:

The Salesforce CPQ Architect position is a critical leadership role designed for an expert with over a decade of experience in the Salesforce ecosystem. This remote, contract-based opportunity requires an individual who can bridge the gap between complex business requirements and high-performance technical architecture. The architect will be responsible for the end-to-end lifecycle of enterprise-scale Salesforce CPQ implementations, ensuring that solutions are not only functional but also scalable and maintainable within the constraints of the Salesforce platform.

Role Overview and Responsibilities

The primary focus of this role is to lead the architectural design and implementation of Salesforce CPQ solutions. This involves a deep understanding of the Quote-to-Cash process, where the architect must translate intricate business needs into robust technical designs. Beyond configuration, the architect is expected to oversee the development of custom components using Apex and Lightning Web Components (LWC), while ensuring seamless integration with external systems such as ERPs and billing platforms.

Category	Key Responsibilities
Architecture	Lead end-to-end CPQ solution design, ensure scalability, and optimize performance.
Configuration	Design Product Catalogs, Bundles, Price Rules, and advanced pricing models.
Development	Oversee Apex, LWC, and Flow development; build Quote Calculator Plugins (QCP).
Integration	Connect CPQ with ERPs (SAP, Oracle, etc.), Salesforce Billing, and Revenue Cloud.
Leadership	Conduct code reviews, mentor development teams, and manage stakeholder expectations.

Technical Expertise and Skills

A successful candidate must demonstrate mastery over both the functional and technical aspects of Salesforce CPQ. This includes expertise in configuring complex product rules and discount schedules, as well as a strong command of the underlying Salesforce platform. The architect should be adept at managing Asset-Based Ordering (ABO), subscription management, and dynamic quote document generation. Furthermore, proficiency in modern DevOps practices and CI/CD pipelines is highly preferred to ensure smooth deployment cycles.

Skill Domain	Core Competencies
CPQ Functional	Product Configuration, Price Rules, Guided Selling, Contracting, and Renewals.
Salesforce Technical	Apex, SOQL/SOSL, Flows, LWC, Platform Events, and Custom Metadata.
Integrations	REST/SOAP APIs, MuleSoft, DocuSign, and Tax Engines (Avalara/Vertex).
DevOps (Preferred)	Copado, Gearset, Git, and CI/CD Pipelines.

Qualifications and Requirements

To be considered for this role, candidates must meet stringent experience and certification requirements. A minimum of 10 years of Salesforce experience is required, with at least 5 years specifically focused on CPQ implementations. The Salesforce Certified CPQ Specialist credential is a mandatory prerequisite; profiles lacking this certification will not be evaluated. Candidates should also possess excellent communication skills, as the role requires frequent interaction with senior business stakeholders and cross-functional teams.

Requirement Type	Description
Experience	10+ years total Salesforce; 5+ years hands-on CPQ implementation.
Mandatory Cert	Salesforce Certified CPQ Specialist.
Preferred Certs	Platform Developer II, Application/System Architect, Sales Cloud Consultant.
Domain Experience	SaaS, Manufacturing, Telecommunications, or Financial Services.

Experience: 8 Years

Budget: 1.2L-1.8L

JD:

Job Summary

We are seeking an experienced and highly skilled ETL Test Lead to spearhead our data quality and validation efforts. The ideal candidate will possess a strong background in ETL testing, data warehousing concepts, and test automation, with a particular emphasis on leveraging AI tools for ETL testing. This role requires a hands-on leader capable of defining test strategies, implementing automation frameworks, and mentoring a team of testers to ensure the integrity and reliability of our data pipelines.

Key Responsibilities

The ETL Test Lead will be instrumental in ensuring the accuracy, completeness, and performance of our data solutions. Key responsibilities include:

Category	Responsibilities
ETL Testing Leadership	Lead the end-to-end ETL testing process, encompassing data extraction, transformation, loading, and validation across diverse systems. Define and implement comprehensive ETL test strategies, frameworks, and automation approaches.
Data Validation & Quality	Perform rigorous data validation, reconciliation, and integrity checks across source, staging, and target systems. Ensure data quality, consistency, and compliance with both business and regulatory requirements.
Test Automation & AI Adoption	Drive the adoption of test automation for data validation using modern frameworks such as Python, PyTest, Great Expectations, and dbt tests. Leverage AI-driven testing tools for anomaly detection, automated test case generation, and intelligent data validation, with mandatory hands-on experience in AI-enablement of testing (e.g., using GitHub Copilot for test script creation).
Team Leadership & Collaboration	Lead and mentor a team of ETL testers, ensuring timely delivery within established quality standards. Collaborate effectively with data engineers, BI developers, and business stakeholders to understand data requirements and refine test coverage.
Defect Management & CI/CD	Manage the defect lifecycle, conduct risk assessments, and oversee regression testing. Integrate ETL test automation into CI/CD pipelines for continuous validation of data workflows. Provide comprehensive reporting and insights on test execution, data quality metrics, and coverage to leadership.

Required Skills and Experience

Candidates for this role should demonstrate a robust technical skill set and proven experience in the following areas:

Skill Category	Description and Experience
Total Experience	3+ years in ETL testing, with significant experience in a lead role.
AI Tools for ETL Testing	1–2 years of mandatory hands-on experience with AI-based anomaly detection, automated test script creation, and AI-enablement of testing (e.g., GitHub Copilot).
SQL Expertise	4–6 years with advanced SQL queries, joins, and performance tuning across various databases (Oracle, MS SQL Server, PostgreSQL, MySQL).
ETL Tools	4–6 years with major ETL tools (Informatica, Talend, SSIS, DataStage, etc.), including deep understanding of transformation logic and process validation.
Python & Automation	2+ years in Python for test automation scripting and data reconciliation. 2–3 years in Test Automation for Data Validation (Python, PyTest, Great Expectations, dbt tests).
Databricks	2–3 years with Databricks (PySpark, Spark SQL, Delta Lake, Notebooks) for ETL testing, reconciliation, and automation.
Cloud Data Platforms	2+ years with cloud-native ETL validation on platforms like AWS Redshift, Azure Synapse, GCP BigQuery, and Snowflake.
Data Warehousing Concepts	4+ years with fact/dimension validation and star & snowflake schema testing.
Test Management & CI/CD	3+ years with Test Management Tools (JIRA, TestRail, ALM, Zephyr) for test planning, execution, and defect management. 2–3 years with Version Control & CI/CD (Git, Jenkins, GitHub Actions, Azure DevOps) for automation integration.
BI / Visualization Tools	1–2 years with BI / Visualization Tools (Tableau, Power BI, QlikView) for report/dashboard validation.

Nice-to-Have Skills

•Big Data Ecosystem: 2+ years with Hadoop, Hive, Spark, Impala for large dataset validation and querying.

•Data Orchestration Tools: Experience with Airflow, Azure Data Factory, Control-M for workflow validation and scheduling.

•Data Quality & Governance Tools: Familiarity with Collibra, Informatica Data Quality, Talend DQ for data quality rules and profiling.

•Machine Learning / AI Integration: Basic knowledge of ML models for anomaly detection in large datasets.

•DataOps Practices: Exposure to continuous testing, monitoring, and observability for data pipelines.

Experience: 10 Years

Budget: 1.3L-1.9L

JD:

Job Summary

We are seeking a highly experienced and hands-on Senior Tech Lead – Ecommerce with profound expertise in Salesforce Commerce Cloud (SFCC B2C). This pivotal role involves leading the design, development, and delivery of scalable e-commerce platforms, ensuring technical excellence and strategic alignment with business objectives. The ideal candidate will be a technical leader capable of driving architectural decisions, contributing significantly to development efforts, mentoring engineering teams, and overseeing the successful end-to-end delivery of enterprise e-commerce solutions.

Core Responsibilities

The Senior Tech Lead will be responsible for the end-to-end lifecycle of our e-commerce solutions, from initial architectural design to final deployment and ongoing optimization.

Area	Key Responsibilities
Architectural Leadership	Lead the design and development of scalable SFCC e-commerce applications, ensuring adherence to best practices and architectural standards. Make critical architectural decisions and guide the technical direction of e-commerce initiatives.
Development & Quality	Provide hands-on development support, conduct thorough code reviews, and ensure the delivery of high-quality, maintainable code. Drive the development and deployment of secure and performant solutions.
Mentorship & Collaboration	Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Facilitate technical discussions and collaborate effectively with cross-functional teams including Product, QA, UX, and Business stakeholders.
System Integration	Drive the integration of SFCC with various third-party systems, such as payment gateways, Order Management Systems (OMS), Content Management Systems (CMS), and Customer Relationship Management (CRM) platforms.

Required Skills and Experience

The successful candidate must possess a deep technical background in Salesforce Commerce Cloud and a proven track record of leadership in a fast-paced e-commerce environment.

Skill Category	Description and Requirements
SFCC Expertise	Extensive hands-on experience with SFCC B2C platform, including configuration, customization, and deployment. Proven expertise in developing and implementing solutions based on SFRA (Storefront Reference Architecture).
API & Headless	Strong understanding and practical experience with OCAPI for seamless data exchange. Experience with headless commerce architectures and their implementation within an SFCC ecosystem.
Integrations	Demonstrated ability to integrate SFCC with various external systems including payment, OMS, CMS, and CRM.
Leadership	Solid background in designing robust e-commerce solutions and a proven track record of leading technical teams and mentoring developers.
Project Delivery	Experience in managing the full lifecycle of e-commerce projects from conception to deployment and ongoing support.

Why Join Us?

[1] offers a challenging and rewarding environment where you can make a significant impact. We provide opportunities for professional growth, continuous learning, and working with cutting-edge technologies. Be part of a team that values innovation, collaboration, and excellence. We believe in fostering a diverse and inclusive workplace where every individu

Experience: 8+ Years

Budget: 1.2L-1.8L

Job Summary

We are seeking a highly experienced Salesforce GovCloud Specialist with strong expertise in Salesforce Shield to join our team. The ideal candidate will be responsible for implementing and configuring secure Salesforce GovCloud solutions for government environments, ensuring compliance with federal security frameworks such as FedRAMP, NIST, and FISMA. This role requires a deep understanding of Salesforce Shield features, including Event Monitoring, Field Audit Trail, and Platform Encryption, to meet stringent compliance and security requirements. The specialist will collaborate with various stakeholders to define requirements, deliver scalable solutions, and provide essential technical guidance and support.

Note: Candidates who have previously applied or appeared for Wipro should be checked.

Responsibilities

•Implement and configure Salesforce GovCloud solutions tailored for secure government environments.

•Apply Salesforce Shield capabilities (Event Monitoring, Field Audit Trail, Platform Encryption) to ensure adherence to compliance and security mandates.

•Collaborate effectively with stakeholders to gather requirements and deliver secure, scalable, and robust Salesforce solutions.

•Ensure all deployments and configurations meet FedRAMP, NIST, and FISMA compliance standards.

•Provide comprehensive technical guidance, develop detailed documentation, and offer support to both users and administrators.

Requirements

•Proven hands-on experience with Salesforce GovCloud implementations.

•Demonstrated strong expertise in Salesforce Shield features.

•In-depth knowledge of federal security frameworks and compliance standards.

•Salesforce certifications (Admin, Developer, Security) are highly preferred.

•Exceptional communication, interpersonal, and problem-solving skills.

Preferred Qualifications

•Prior experience working with government agencies or contractors.

•Familiarity with identity management solutions, including Single Sign-On (SSO) and Multi-Factor Authentication (MFA), and secure integration practices.

Experience: 8+Year

Budget: 1.1L-1.6L

JD:

Job Overview

We are seeking a highly skilled and experienced Data Scientist + AI Engineer to join our growing AI team. The ideal candidate will have extensive experience in data science, machine learning, generative AI, and large language models (LLMs). You will be responsible for designing, developing, deploying, and optimizing AI-powered applications and intelligent automation solutions that solve complex business challenges.

This role requires expertise in building scalable machine learning systems, implementing agentic AI solutions, developing multi-agent architectures, and deploying production-ready AI applications using AWS cloud services.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for real-world business applications.
• Analyze structured and unstructured datasets to derive actionable insights and support strategic decision-making.
• Develop and implement Large Language Model (LLM) applications using modern AI frameworks.
• Build Agentic AI and multi-agent systems using LangChain, LangGraph, MCP, and related technologies.
• Fine-tune, evaluate, and optimize foundation models and LLMs.
• Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent AI assistants.
• Build scalable MLOps pipelines for model training, deployment, monitoring, and versioning.
• Collaborate with cross-functional teams including software engineers, product managers, and business stakeholders.
• Design cloud-native AI solutions using AWS services.
• Implement data preprocessing, feature engineering, model evaluation, and performance optimization techniques.
• Monitor model performance and continuously improve production AI systems.
• Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Generative AI.

Required Skills & Qualifications

Experience

• 8+ years of professional experience in Data Science, Machine Learning, or AI Engineering.
• Proven experience delivering AI solutions in production environments.

Programming

• Strong proficiency in Python.
• Experience with SQL for data analysis and manipulation.

Mathematics & Statistics

• Strong understanding of:
  • Linear Algebra
  • Advanced Calculus
  • Probability
  • Descriptive Statistics
  • Inferential Statistics

Machine Learning

• Regression
• Classification
• Clustering
• Dimensionality Reduction
• Feature Engineering
• Model Evaluation
• Hyperparameter Tuning
• Time Series Forecasting (preferred)

Deep Learning

• Neural Networks
• CNNs
• RNNs/LSTMs
• Transformer Architectures

Generative AI & LLMs

• Hands-on experience with:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Agentic AI
  • Multi-Agent Systems
  • Model Context Protocol (MCP)
  • LangChain
  • LangGraph
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • AI Agent Orchestration

MLOps

• Model training and deployment
• CI/CD for Machine Learning
• Model monitoring
• Experiment tracking
• Model versioning
• Pipeline automation

AWS Cloud

Hands-on experience with:

• IAM
• Amazon S3
• AWS Lambda
• API Gateway
• DynamoDB
• Amazon SageMaker
• Amazon OpenSearch
• CloudWatch
• Step Functions (preferred)

Frameworks & Tools

• Scikit-learn
• Pandas
• NumPy
• Jupyter Notebook
• TensorFlow
• PyTorch
• Hugging Face Transformers
• MLflow (preferred)
• Docker
• Git

Preferred Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
• Experience building scalable AI products deployed in production.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of distributed computing frameworks such as Spark.
• Experience working in Agile development environments.
• Familiarity with LLM evaluation frameworks and AI safety best practices.

Preferred Skills

• Retrieval-Augmented Generation (RAG)
• Knowledge Graphs
• Semantic Search
• Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)
• Prompt Engineering
• AI Workflow Automation
• Autonomous AI Systems
• Explainable AI (XAI)

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Strong ownership mindset and attention to detail.
• Passion for learning and adopting emerging AI technologies.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI projects.
• Exposure to enterprise-scale AI platforms and cloud-native architectures.
• Collaborative and innovative work environment.
• Flexible work arrangements.
• Competitive compensation and career growth opportunities.

Experience: 8+ Years

Budget: 1L-1.7L

Role Overview

We are looking for a highly skilled Salesforce GovCloud Specialist with deep expertise in Salesforce Shield. In this critical role, you will be responsible for implementing and configuring secure Salesforce solutions tailored for government environments. You will ensure that all deployments meet stringent compliance and security standards, including FedRAMP, NIST, and FISMA.

Key Responsibilities

•Implementation: Lead the implementation and configuration of Salesforce GovCloud solutions within secure government ecosystems.

•Security & Compliance: Apply Salesforce Shield features—including Event Monitoring, Field Audit Trail, and Platform Encryption—to satisfy rigorous security requirements.

•Solution Design: Collaborate with stakeholders to define business requirements and deliver secure, scalable, and high-performance solutions.

•Compliance Management: Ensure all deployments adhere to FedRAMP, NIST, and FISMA frameworks.

•Technical Support: Provide expert-level technical guidance, comprehensive documentation, and ongoing support for both users and administrators.

Technical Requirements

•GovCloud Expertise: Extensive hands-on experience with Salesforce GovCloud implementations.

•Salesforce Shield: Advanced proficiency in all Salesforce Shield features (Monitoring, Audit, Encryption).

•Security Standards: In-depth knowledge of federal security frameworks and compliance standards.

•Communication: Exceptional problem-solving skills and the ability to communicate technical concepts to diverse stakeholders.

Preferred Qualifications

•Certifications: Salesforce Certified Administrator, Developer, or Security Specialist.

•Domain Experience: Prior experience working with government agencies or federal contractors.

•Identity Management: Familiarity with SSO, MFA, and secure integration protocols.

Experience: 8+ Years

Budget: 1L-1.7L

JD

Role Overview

We are seeking a highly skilled and experienced Senior MongoDB Database Administrator to join our team. With over 8 years of expertise, you will be responsible for the architecture, implementation, and optimization of our production database environments. This role requires a deep understanding of both SQL and NoSQL architectures, a proactive approach to performance tuning, and the ability to drive automation across our data infrastructure.

Key Responsibilities

•Database Architecture & Administration: Architect, implement, secure, and optimize MongoDB, MariaDB, and MySQL environments to ensure peak performance.

•Collaboration: Work closely with Development and Site Reliability Engineering (SRE) teams to support robust data storage and reporting platforms.

•Performance Management: Manage database scalability, availability, and reliability, ensuring high uptime for critical business systems.

•Automation: Lead automation initiatives using Python and Shell scripting to streamline database operations and deployments.

•Incident Response: Participate in a 24x7 on-call support rotation, handling critical production incidents and troubleshooting complex database issues.

Technical Requirements

•Core Expertise: Strong hands-on experience with MongoDB and MySQL administration in high-traffic production environments.

•Database Diversity: Proven experience managing PostgreSQL, Oracle, Cassandra, and various other SQL/NoSQL databases.

•Operations: Mastery of database installation, configuration, monitoring, backup, recovery, replication, and performance tuning.

•Architecture: Deep understanding of SQL/NoSQL architectures and modern database frameworks.

•Infrastructure: Solid knowledge of Linux administration and networking principles.

•Scripting: Proficiency in automation and scripting using Python, Shell, or Perl.

•High Availability: Experience supporting highly available database clusters and resolving production-level bottlenecks.

Preferred Qualifications (Good to Have)

•Experience with Elasticsearch and Redis.

•Exposure to Big Data ecosystems and distributed database environments.

•Relevant industry certifications (e.g., MongoDB Certified DBA).

Education

•Bachelor’s degree in Computer Science, Information Technology, or equivalent technical education/work experience.

Experience: 6–10 Years

Budget: 1.2L-1.7L

JD:

Job Summary

We are seeking a highly skilled Microsoft Security Architect/Engineer to lead the implementation and governance of Microsoft Cloud Security controls for a specific client environment (~40 M365 users, single tenant). This role is focused on the implementation and governance phase of an engagement, following a completed discovery and audit phase. You will be responsible for executing security enhancements based on existing audit findings and ensuring robust governance across the client's Microsoft ecosystem.

Key Responsibilities

In this role, you will be responsible for the configuration and implementation of Microsoft Defender for Cloud Apps (MDCA), including app connectors, OAuth governance, session controls, and activity policies. You will design and deploy comprehensive Conditional Access policies via Microsoft Entra ID, ensuring seamless SSO integration.

A critical part of your duties will involve implementing Microsoft Purview DLP policies, data classification schemes, and sensitivity labels. You will also build out SaaS Governance and AI Governance frameworks to protect the client's digital assets. Your work must consistently align configurations with SOC 2 and PCI DSS v4 compliance requirements.

Furthermore, you will be expected to write detailed operational runbooks and documentation to facilitate a smooth client handoff and knowledge transfer. Where necessary, you will utilize PowerShell and the Microsoft Graph API for automation and reporting, focusing on light scripting to enhance operational efficiency.

Required Qualifications & Skills

To be considered for this position, you must have 6–10 years of relevant Microsoft Security experience. You should be comfortable working from third-party audit and discovery data, such as app inventories and risk prioritization lists, to drive implementation.

Category	Specific Requirements
Security Implementation	Hands-on experience with Microsoft Defender for Cloud Apps (MDCA/MCAS).
Identity & Access	Strong knowledge of Microsoft Entra ID (Azure AD) and Conditional Access policy design.
Data Protection	Proficient in Microsoft Purview — DLP, data classification, and sensitivity labels.
Compliance	Working knowledge of SOC 2 and PCI DSS compliance frameworks.
Automation	Proficiency in PowerShell and Microsoft Graph API for light scripting.

Preferred Certifications

We highly value candidates who hold the following certifications:

•SC-200: Microsoft Security Operations Analyst

•SC-300: Microsoft Identity and Access Administrator

•SC-400: Microsoft Information Protection Administrator

•SC-100: Microsoft Cybersecurity Architect (strongly preferred for Architect-level candidates)

Preferred Experience

•Prior experience in an MSP or System Integrator environment, particularly implementing Microsoft security solutions across multiple client tenants.

•Exposure to AI and Copilot governance considerations within the Microsoft 365 environment.

•Strong problem-solving skills and the ability to work independently to translate audit findings into technical reality.

Experience: 8 Year

Budget: 1L-1.6L

JD:

Job Summary

We are seeking a highly skilled and experienced Senior Hadoop Developer / Big Data Engineer with 8+ years of experience to join our dynamic data engineering team. The ideal candidate will have deep expertise in designing, developing, and optimizing large-scale Hadoop ecosystems and data pipelines. You will play a critical role in building robust, scalable, and high-performance data solutions that drive business intelligence and analytics.

Key Responsibilities

As a Senior Hadoop Developer, you will be responsible for designing, developing, and maintaining highly scalable, distributed data applications using the Hadoop ecosystem, including HDFS, MapReduce, YARN, HBase, Hive, Pig, and Spark. You will architect and implement robust ETL (Extract, Transform, Load) pipelines to process massive volumes of structured, semi-structured, and unstructured data.

A significant portion of your role will involve analyzing and optimizing existing Hadoop applications for performance, reliability, and scalability. This includes tuning memory, CPU, and network resources, as well as optimizing Spark jobs and Hive queries. You will also implement data quality checks, validation processes, and ensure data integrity across various stages of the data lifecycle.

We prefer candidates who have experience working on migrating on-premise Hadoop clusters to cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, GCP Dataproc) and integrating with cloud-native services. You will collaborate closely with Data Scientists, Data Analysts, and Application Developers to understand business requirements and translate them into technical specifications. Additionally, you will provide technical leadership, code reviews, and mentorship to junior and mid-level data engineers. Finally, you will set up monitoring tools to track cluster health, job performance, and data flows, and proactively identify and resolve production issues.

Required Qualifications & Skills

To be considered for this role, you must hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, and possess a minimum of 8 years of hands-on experience in Big Data technologies, with a strong focus on the Hadoop ecosystem.

Category	Specific Requirements
Core Technologies	Expert-level proficiency in Apache Spark (PySpark, Scala, or SparkSQL) for batch and streaming data processing. Strong experience with Hive (including writing complex HiveQL queries and optimizing them). Solid understanding of HDFS, YARN, and MapReduce concepts. Experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
Programming	Proficiency in scripting and programming languages: Python, Scala, or Java.
Data Modeling	Experience in designing data warehouses and implementing dimensional data modeling (Star schema, Snowflake schema).
Workflow Management	Experience using workflow schedulers like Apache Airflow, Oozie, or Control-M.
Cloud Platforms	Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and their respective big data services.
Version Control	Proficient in using Git for source code management.

Preferred Qualifications

Candidates who possess experience with real-time data processing frameworks like Apache Kafka and Apache Flink will be given priority. Familiarity with containerization and orchestration tools like Docker and Kubernetes is highly desirable, as is knowledge of CI/CD pipelines for deploying data applications. Experience with advanced security and governance tools like Apache Ranger or Apache Atlas is a plus. We are looking for someone with strong problem-solving skills and the ability to work independently in a fast-paced environment.

What We Offer

•Competitive salary and comprehensive benefits package.

•Opportunity to work on cutting-edge big data technologies and solve complex data challenges.

•A collaborative and innovative work environment with opportunities for professional growth and leadership.

•Flexible work arrangements (if applicable).

Experience: 7+ Years

Budget: 1L-1.5L

JD:

Role Overview
We are actively seeking a highly proficient SAP Business Objects Data Services (BODS)
Consultant at the E3 BAND level to drive data excellence within a large-scale S/4HANA digital
transformation programme. The successful candidate will serve as a technical authority in the
design, development, and execution of critical data migration and integration workstreams. This
role is fundamental to ensuring the availability of high-fidelity, accurate, and comprehensive data
across both legacy source and target SAP environments, directly underpinning the success of
critical go-live milestones.
Operating in close partnership with the Data Architect and cross-functional programme teams,
this position demands a strategic approach to delivering timely, precise, and scalable data
migration solutions that align with enterprise objectives.
Core Responsibilities
The responsibilities for this role are categorized into four primary domains, ensuring a holistic
approach to data migration and governance.
Data Migration Design & Execution
The consultant will lead the technical delivery of data migration activities, ensuring robust and
efficient data transfer mechanisms.
Responsibility
Area
Detailed Activities
Design &
Development
Architect and develop complex SAP BODS data flows, workflows, and
data stores. Formulate comprehensive strategies for the migration of
both master and transactional data to the SAP S/4HANA landscape.
ETL Execution Execute and optimize robust data extraction, transformation, and
loading (ETL) processes from diverse and complex legacy source
systems.
Asset
Reusability
Engineer and maintain reusable BODS objects, scripts, and
repositories, strictly adhering to established programme standards and
promoting development efficiency.
Quality
Assurance
Direct rigorous unit testing and system integration testing (SIT).
Provide dedicated support during user acceptance testing (UAT) to
validate all migration objects against business requirements.
Data Quality & Governance
Ensuring the integrity and reliability of data is paramount. The consultant will champion data
quality initiatives throughout the migration lifecycle.
Responsibility
Area
Detailed Activities
Profiling &
Analysis
Conduct exhaustive data profiling and analysis of source systems to
proactively identify, quantify, and remediate data quality anomalies
prior to migration execution.
Rule Definition Collaborate extensively with business data owners and subject matter
experts to define precise data cleansing rules, transformation logic,
and validation criteria.
Monitoring &
Reporting
Develop and maintain sophisticated data quality dashboards and
exception reporting mechanisms within BODS to continuously monitor
data integrity and migration progress.
Governance
Alignment
Enforce stringent data governance standards throughout the entire
migration lifecycle, ensuring absolute alignment with overarching
enterprise data policies and regulatory requirements.
Integration & Technical Architecture
The role requires deep technical expertise to design and maintain the underlying data
architecture and integration pipelines.
Responsibility Area Detailed Activities
Pipeline
Engineering
Design and implement resilient, high-performance data integration
pipelines bridging SAP S/4HANA with various third-party applications
and legacy systems.
Environment
Management
Configure, optimize, and maintain the SAP Data Services
Management Console, repositories, and job server environments to
guarantee maximum performance and system stability.
Information
Steward
Facilitate seamless integration with SAP Information Steward to
enable advanced data profiling, continuous monitoring, and
comprehensive data lineage tracking.
Technical
Liaison
Act as the primary technical liaison with basis and infrastructure
teams regarding system landscape architecture, transport
management protocols, and performance tuning strategies.
Programme Collaboration & Leadership
As an E3 Band consultant, strong collaboration and leadership skills are essential for driving
programme success

Experience: 10 Year

Budget: 1.2L-1.6L

JD:

Overview

We are seeking an experienced Blockchain Engineer to design, develop, and maintain the blockchain infrastructure for our next-generation fintech platform. You will be responsible for wallet connectivity, blockchain transaction processing, smart contract integrations, and ensuring the security and scalability of blockchain operations.

Key Responsibilities

•Design and develop integrations across EVM and non-EVM blockchain networks.

•Build secure systems for creating, signing, approving, and monitoring blockchain transactions.

•Integrate wallets, exchanges, liquidity providers, bridges, and routing services.

•Optimize transaction performance, monitoring, recovery, and failure handling.

•Collaborate with Product and Engineering teams to simplify blockchain workflows.

•Define blockchain architecture, engineering standards, and best practices.

•Implement secure wallet management, signing mechanisms, and third-party integrations.

Required Skills

•5+ years of software development experience with Blockchain/Web3 products.

•Strong knowledge of EVM & non-EVM ecosystems.

•Experience with Smart Contracts (Solidity).

•Good understanding of RPC APIs, transaction lifecycle, token standards, and wallet integrations.

•Strong programming skills in Python and TypeScript/JavaScript.

•Experience with blockchain SDKs and Web3 libraries.

•Security-focused mindset.

•Excellent communication skills.

Preferred Skills

•Cross-chain bridges & asset swaps.

•DeFi protocols and liquidity management.

•AWS/GCP experience.

•Gas optimization techniques.

•Passion for Web3 and Crypto.

Experience: 6+ years

Budget: 1.2L-1.7L

JD:

Overview

We are seeking an experienced and highly skilled ServiceNow Developer for an urgent contract requirement. The ideal candidate will have a minimum of 6 years of hands-on ServiceNow development experience with strong expertise in HRSD (Human Resources Service Delivery), and solid experience in ITAM (IT Asset Management) and ITOM (IT Operations Management). This role requires a proactive individual capable of developing, implementing, and maintaining robust ServiceNow solutions. This is a remote position with a mandatory shift timing of 6:00 AM – 2:00 PM.

Responsibilities

•Design, develop, and implement comprehensive ServiceNow solutions with a strong focus on HRSD, ITAM, and ITOM modules.

•Utilize advanced ServiceNow scripting capabilities (JavaScript, Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions) to customize and extend the platform.

•Develop and maintain workflows, Flow Designer flows, and IntegrationHub integrations to automate processes and connect with external systems.

•Configure and manage Service Catalog items, Record Producers, Notifications, and Access Control Lists (ACLs).

•Maintain and optimize the Configuration Management Database (CMDB) to ensure data accuracy and integrity.

•Adhere to ServiceNow best practices and ITIL processes throughout the development lifecycle.

•Collaborate with stakeholders to gather requirements, provide technical guidance, and ensure successful project delivery.

•Troubleshoot and resolve complex technical issues related to ServiceNow applications.

Required Skills and Experience

•Experience: 6+ years of hands-on ServiceNow development experience.

•Mandatory Expertise:

•Strong expertise in HRSD (Human Resources Service Delivery).

•Good experience with ITAM (IT Asset Management).

•Hands-on experience in ITOM (IT Operations Management).

•Technical Proficiency:

•Strong knowledge of ServiceNow scripting (JavaScript, Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions).

•Experience with Flow Designer, IntegrationHub, Workflows, and REST/SOAP integrations.

•Experience in Service Catalog, Record Producers, Notifications, ACLs, and CMDB.

•Methodologies & Best Practices:

•Good understanding of ServiceNow best practices and ITIL processes.

•Certifications: CSA certification preferred.