Requirements

Platform Engineer || 8+ years || Remote || IST 

Experience   : 8+ years in Platform Engineering, with at least 3+ years in cloud-based data platform

Project / Requirement Overview
We are looking for a Senior Platform Engineer to build and manage scalable, cloud-native data platforms on GCP. The role focuses on platform engineering, governance, automation, secure data access, and platform reliability.

Key Responsibilities Platform Engineering
Design and develop cloud-native platform foundations on GCP
Create reusable templates for data storage, access control, and environment setup
Enable self-service onboarding for data teams
Support scalable and reliable platform architecture for enterprise data workloads
Identity s Access Management
Integrate Okta with GCP IAM and Snowflake
Implement SSO, RBAC, and least-privilege access controls
Automate user provisioning and lifecycle management
Governance s Security
Implement PII tagging, masking, and column-level security
Work with BigQuery policy tags and Snowflake tagging
Ensure compliance, governance, auditability, and secure data access
Automation s Infrastructure
Automate provisioning, access control, and metadata management
Utilize Terraform, Python, SQL, and CI/CD pipelines for infrastructure automation

Implement Infrastructure as Code (IaC) best practices
Support containerization and orchestration using Docker and Kubernetes
Observability s Reliability
Monitor platform usage, access, and data quality
Build alerting, logging, and audit mechanisms
Ensure platform reliability and operational excellence through CI/CD and monitoring practices

Required Skills
GCP (BigQuery, GCS, IAM)
Snowflake (RBAC, governance, performance tuning)
BigQuery (policy tags, partitioning, external tables)
Okta (SSO, federation, lifecycle management)
Python, SQL, Terraform
Infrastructure automation and Infrastructure as Code (IaC)
Containerization tools such as Docker and Kubernetes
CI/CD tools (Bitbucket preferred)
Strong understanding of platform reliability and automation

Requires exposure to:
Infrastructure automation (Terraform, IaC)
Containerization (Docker/Kubernetes)
CI/CD pipelines and platform reliability

Skill Set

• CI/CD
• Docker
• Kubernetes
• Platform analytics

Requirements

Role Summary
Support the governance discovery engagement by analyzing existing systems and
documenting the organization’s current data landscape. This role focuses on system
analysis, data inventory, and documentation of current processes.
Key Responsibilities
System Analysis
• Analyze the organization’s three primary business systems and SharePoint
repositories
• Identify data sources, system owners, and key datasets
• Document system interactions and dependencies
• Experience working with financial or investment organizations is must
Data Inventory
• Perform inventory of data stored within Microsoft 365 environments
• Identify sensitive datasets and data sharing patterns
• Document data ownership and access patterns
AS-IS Process Documentation
• Document current data lifecycle processes including creation, sharing, and archival
• Capture how business teams manage entity definitions and data relationships
Entity & Data Definition Analysis
• Analyze entity definitions used across systems
• Identify inconsistencies in terminology and data definitions
• Support development of a standardized business glossary
Documentation Support
• Produce documentation including
o system inventories
o data flow diagrams
o process maps
o data dictionaries
• Provide analytical inputs for governance gap analysis and architecture evaluation
Required Experience
• 3–6 years experience in data analysis, business analysis, or system analysis
• Strong documentation and process mapping skills
• Experience analyzing enterprise data systems and SharePoint environments
• Understanding of data modeling concepts and relational data structures
• SQL or data analysis tools experience preferred

Deliverables Supported
• Source system inventory
• Data lifecycle documentation
• Data flow diagrams
• Business glossary inputs
• Governance gap analysis

Skill Set

• Data Analyst -
• Data Governance
• Operating Systems
• Sql

Requirements

Azure Integration Services (AIS) Developer – MuleSoft Migration

Exp: 07+ years
Remote

Job Summary - We are seeking an experienced Azure Integration Services (AIS) Developer to support the migration of enterprise integrations from MuleSoft to Microsoft Azure Integration Services. The ideal candidate will have hands-on experience with both MuleSoft and Azure integration technologies, enabling them to analyze existing MuleSoft applications, understand business and technical requirements, and redesign or migrate integrations using Azure-native services.
The role involves reading and interpreting MuleSoft code, APIs, and integration flows, developing equivalent solutions in Azure Integration Services, performing testing, and ensuring successful deployment and operational readiness.
Key Responsibilities
•    Analyze existing MuleSoft APIs, applications, flows, connectors, and integrations. 
•    Understand business processes and integration patterns implemented in MuleSoft. 
•    Design and develop equivalent integrations using Azure Integration Services. 
•    Build solutions using: 
•    Azure Logic Apps 
•    Azure Service Bus 
•    Azure API Management (APIM) 
•    Azure Functions 
•    Event Grid 
•    Event Hubs 
•    Azure Storage Services 
•    Azure Key Vault 
•    Convert MuleSoft Data Weave transformations into Azure-compatible transformation mechanisms. 
•    Implement API-led and event-driven integration patterns in Azure. 
•    Develop reusable integration components and frameworks. 
•    Perform unit testing, integration testing, and defect resolution. 
•    Collaborate with architects, business analysts, and stakeholders during migration activities. 
•    Create technical documentation, deployment guides, and support artifacts. 
•    Participate in code reviews and ensure adherence to Azure best practices. 
•    Support production deployment and hypercare activities.

Mandatory Skills - Azure Integration Services 
Hands-on experience with Azure Logic Apps, Azure Service Bus, Azure API Management, Azure Functions, Event Grid, Event Hubs, Azure Storage, and Azure Key Vault.
Experience in implementing integration patterns on Azure is an added advantage. 
Technical Skills
•    REST APIs 
•    SOAP Web Services 
•    JSON 
•    XML 
•    XSLT 
•    OAuth 2.0 
•    OpenID Connect 
•    Messaging and Event-Driven Architectures 
•    CI/CD using Azure DevOps 
•    Git-based source control 

Nice to have
•    Understanding of MuleSoft Anypoint Platform. 
•    Experience with Mule 4, Anypoint Studio, API Manager.
Qualifications
•    Bachelor's degree in Computer Science, Engineering, or related field. 
•    7 +  years of integration development experience. 
•    2+ years of Azure Integration Services experience. 
•    2+ years of MuleSoft development experience. 
•    Azure certifications preferred. 
Preferred Certifications
•    Microsoft Certified: Azure Developer Associate 
•    Microsoft Certified: Azure Integration and Messaging Certifications 
•    MuleSoft Certified Developer
Soft Skills
•    Strong analytical and troubleshooting skills. 
•    Ability to interpret complex integration workflows and business processes. 
•    Strong documentation and communication skills. 
•    Experience working in Agile/Scrum delivery environments. 
•    Ability to collaborate effectively with distributed/global teams.

Skill Set

• Application Programming Interface (API)
• Azure
• Integration
• Mulesoft

Requirements

Amplience Data Engineer – An Amplience Data Engineer is a Data Engineering professional who works on building, managing, and optimizing the data systems that power the AI, content, and digital commerce platforms of Amplience.
Exp: 07+ years

Remote

Job Role –

Their work mainly revolves around:

Building data pipelines for AI and analytics.
Preparing, cleansing, and transforming large datasets.
Creating data ingestion frameworks from multiple sources.
Managing structured and unstructured content data.
Supporting AI model training and evaluation.
Designing data storage solutions using cloud technologies.
 

Skills Expected

Strong Python programming
SQL expertise
Data modeling
AWS Cloud
Data Warehousing
APIs and integrations
Data Quality Management
AI/ML data preparation knowledge

Skill Set

• Artificial Intelligence
• Aws
• Data Engineer
• Machine learning
• Python
• Sql

Requirements

Years of Experience
9+  years
Mandatory Skills
ServiceNow SOM Architect

Detailed JD

We have a new requirement for a ServiceNow SOM Architect. Please share relevant profiles for this role.

JD:
• 8–15 years in ITSM/ITOM roles with 3+ years in ServiceNow architecture.
• Certified in ServiceNow Certified Implementation Specialist (CIS) – especially for ITOM.
• Strong stakeholder management and ability to translate business needs into technical solutions.
  Skills & Tools Required:
• ServiceNow ITOM Suite: Discovery, Service Mapping, Event Mgmt, Orchestration
• CMDB modeling and CSDM (Common Service Data Model)
• Scripting (JavaScript, Glide)
• Integration experience (REST/SOAP APIs)
• Monitoring tools: Splunk, AppDynamics, etc.
• Cloud awareness (Azure, AWS, GCP – for hybrid infrastructure mapping)
A ServiceNow SOM Architect is responsible for designing and implementing solutions around Service Operations, often leveraging modules

Skill Set

• Aws
• Azure
• GCP
• ITOM
• ServiceNow

Requirements

*Sr. CRM Developer || 5+ years || 4:00 PM to 1:00 AM IST

**Work Model*

Permanent Remote (Work From Home)
Exception: One-time in-person visit to Noida office for customer interview

*Key Responsibilities & Requirements*

Minimum 5+ years of hands-on experience in CRM development
Strong expertise in Microsoft Dynamics CRM / Dynamics 365 (Custmer Engagement)
Ability to handle end-to-end CRM customization & development
Experience in plugins, workflows, integrations, and custom modules
Portals experience is a plus, but not mandatory

Skill Set

• Dynamic CRM implementation
• Dynamics 365 environments

Requirements

Role - Salesforce Marketing Automation Technical Consultant
Experience - 6-8 Yrs 
Shift - 11 AM -8 PM (overlap)
Mode / Location - Remote
(C2H role/C2C)

JD - 

Role Overview
We are looking for a skilled Salesforce Marketing Cloud Technical Consultant to
support the implementation and operational rollout of a Salesforce Marketing Cloud
Advanced environment for an international enterprise client. The consultant will work
across configuration, automation, integration, testing, and documentation activities.
Key Responsibilities
· Configure and support Salesforce Marketing Cloud Advanced components:
Journey Builder, Email Studio, Automation Studio, Contact Builder, and
CloudPages
· Design and implement automated communication journeys, onboarding
campaigns, newsletters, and stakeholder engagement workflows
· Configure audience segmentation, subscriber management, and
communication preference management processes
· Develop personalized and dynamic email content using AMPscript and SQL;
build reusable templates
· Support integration of Marketing Cloud with Salesforce CRM and external
systems via APIs and middleware platforms
· Perform data imports, exports, cleansing, transformations, and subscriber
synchronization
· Execute and support unit testing, integration testing, and UAT activities
· Monitor and troubleshoot journeys, campaigns, automations, integrations, and
subscriber data issues
· Support campaign execution, scheduling, audience targeting, and reporting
· Prepare and maintain technical and functional documentation: configuration
docs, process flows, user guides, operational procedures
· Participate in workshops, sprint activities, and stakeholder coordination
sessions
· Support end-user training, knowledge transfer, and operational assistance
· Lead deployment activities across sandbox and production environments
Essential Requirements
# Requirement
A1
University degree in IT, Computer Science, Information Systems, Digital
Communications, or related field. Relevant Salesforce certifications + 3
additional years of experience may substitute.
A2 Mandatory: Salesforce Marketing Cloud Administrator and/or Salesforce
Marketing Cloud Email Specialist certification
A3 Minimum 3 years of hands-on experience implementing and supporting
Salesforce Marketing Automation solutions
A4 Experience with marketing automation, audience segmentation, email campaign
management, and subscriber lifecycle management
A5 Hands-on experience with Journey Builder, Email Studio, Automation Studio,
and Contact Builder
A6 Proficiency in AMPscript, SQL, and email personalization techniques
A7 Working knowledge of Salesforce integrations using APIs and middleware
platforms
A8 English proficiency at C level (mandatory)

Skill Set

• Marketing Cloud
• Salesforce
• Sql

Requirements

DevOps engineer || 5 - 10 years || hyderabad || IST

Skill Requirements
We understand that candidates may not have every single skill listed below. We encourage you to apply if you
possess a strong foundation in product ownership and a willingness to learn and grow.
* Minimum of 5 - 10 years of hands-on experience in DevOps or Platform Engineering roles.
* Deep technical knowledge of Terraform, Terraform Cloud, and infrastructure module design.
* Production experience managing Kubernetes clusters (preferably on GKE).
* Demonstrable expertise in CI/CD automation (GitHub Actions, ArgoCD, Helm based deployments).
* Proficient in securing cloud-native environments and integrating with secret
* management solutions such as Google Secret Manager or HashiCorp Vault.
* Hands-on experience in observability tooling, especially with Datadog.
* Strong grasp of GCP networking, service configurations, and container workload security.
* Proven ability to lead engineering initiatives, work cross-functionally, and manage infrastructure
roadmaps.

Desirable Experience:
* Background in implementing GitOps and automated infrastructure policy enforcement.
* Familiarity with service mesh, workload identity, and multi-cluster deployments.
* Prior experience establishing DevOps functions or maturing legacy environments.

Skill Set

• CI/CD
• DevOps
• GCP
• Kubernetes

Requirements

Full stack developer || 5+ years || Hyderabad || IST 

General Engineering Experience:
* Git Version Control (Required)
* Jest (Required)
* Continuous Integration (Required)
* Playwright (or similar testing framework like Cypress)
* Monorepo
* GitHub Actions
* Continuous Deployment
* Experience with AI models APIs (OpenAI, Google Gemini or similar)
Frontend Technology Experience:
* Typescript (Required)
* React (Required)
* HTML (Required)
* CSS (Required)
* MicroFrontends
* React Router
* Zustand (or similar state management tool like redux)
* RxJS
* Design systems (antd, material-ui or similar)
* Figma (interpreting designs)
Backend Technology Experience:
* Typescript (Required)
* AWS Lambda (Required)
* Microservices (Required)
* API Gateway (Required)
* S3 (Required)
* Serverless architectures (Required)
* Document Databases e.g. MongoDB, DynamoDB, ElasticSearch or similar (Required)
* Infrastructure as Code (Serverless, CloudFormation, Terraform or similar)
* DynamoDB
* SQS
* Cognito

Skill Set

• Artificial Intelligence
• Aws
• HTML,CSS
• Microservices
• Reactjs
• Typescript

Requirements

Data Modeler | 10+ years | remote | 150k | IST

10+ years of experience in Data Modeling / Data Architecture
Strong expertise in ER Modeling & Dimensional Modeling (Star/Snowflake Schema)
Hands-on experience with ERwin / ER-Studio / PowerDesigner
Strong SQL and Data Warehousing knowledge
Experience with enterprise RDBMS systems (Oracle, SQL Server, PostgreSQL, MySQL

Skill Set

• Data Architect
• Data Modeler
• Mysql
• Oracle
• PostgreSQL
• Sql