Design, architecture, develop, and implement highly available/scalable, multi-region solutions within AWS Cloud.
• Work closely with application, engineering, security and operations teams to engineer and build Cloud native Services on AWS, PaaS and IaaS solutions within an agile and modern enterprise grade operating model.
• Maintaining and developing the Infrastructure as Code repository using Terraform and be able to deliver a fully automatized cloud infrastructure.
• Implement and maintain monitoring and alerting systems to detect issues proactively.
• Perform deployment, configuration, monitoring and maintenance of high availability enterprise solutions.
• Perform proactive system administration, monitoring, technical efficiency tuning, up-time, alert notifications, and automation tasks.
• Manage and administer the AWS cloud environment, including provisioning, configuration, performance monitoring, policy governance and security
• Design, develop, and implement highly available, multi-region solutions within AWS
• Analyze existing operational standards, processes, and/or governance to identify and implement improvements
• Migrate existing infrastructure services to AWS cloud-based solutions
• Manage security and access controls of AWS cloud-based solutions
• Develop infrastructure as code (IaC) leveraging cloud native tooling to ensure automated and consistent platform deployments
• Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss
• Support cloud adoption of applications as they are being transformed and/or modernized
• Ensure all infrastructure components meet proper performance and capacity standards
Mandatory Technical Skills
• Around 9 years of experience with AWS Cloud (IaaS, PaaS, Database) and Azure DevOps
• Cloud Architecture: Strong understanding of cloud architecture principles and best practices.
• 7+ years of experience with Infrastructure As Code using c
• Advanced skills on LINUX, Network, security and Docker based environment
• Security best practices and compliance frameworks
• Programming languages is a plus (For example: PowerShell, Shell, Python).
• Experience with AWS networking services (VPC, Direct Connect, Route 53, CloudFront)
• Network security implementation (Security Groups, NACLs, WAF)
Responsibilities
Design, architecture, develop, and implement highly available/scalable, multi-region solutions within AWS Cloud.
• Work closely with application, engineering, security and operations teams to engineer and build Cloud native Services on AWS, PaaS and IaaS solutions within an agile and modern enterprise grade operating model.
• Maintaining and developing the Infrastructure as Code repository using Terraform and be able to deliver a fully automatized cloud infrastructure.
• Implement and maintain monitoring and alerting systems to detect issues proactively.
• Perform deployment, configuration, monitoring and maintenance of high availability enterprise solutions.
• Perform proactive system administration, monitoring, technical efficiency tuning, up-time, alert notifications, and automation tasks.
• Manage and administer the AWS cloud environment, including provisioning, configuration, performance monitoring, policy governance and security
• Design, develop, and implement highly available, multi-region solutions within AWS
• Analyze existing operational standards, processes, and/or governance to identify and implement improvements
• Migrate existing infrastructure services to AWS cloud-based solutions
• Manage security and access controls of AWS cloud-based solutions
• Develop infrastructure as code (IaC) leveraging cloud native tooling to ensure automated and consistent platform deployments
• Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss
• Support cloud adoption of applications as they are being transformed and/or modernized
• Ensure all infrastructure components meet proper performance and capacity standards
Mandatory Technical Skills
• Around 9 years of experience with AWS Cloud (IaaS, PaaS, Database) and Azure DevOps
• Cloud Architecture: Strong understanding of cloud architecture principles and best practices.
• 7+ years of experience with Infrastructure As Code using c
• Advanced skills on LINUX, Network, security and Docker based environment
• Security best practices and compliance frameworks
• Programming languages is a plus (For example: PowerShell, Shell, Python).
• Experience with AWS networking services (VPC, Direct Connect, Route 53, CloudFront)
• Network security implementation (Security Groups, NACLs, WAF)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
SAP Datasphere:
We are seeking an experienced SAP Datasphere Developer with strong expertise in building scalable data models and hands‑on proficiency in SQL. The ideal candidate will design, develop, and optimize data models within SAP Datasphere (DSP), ensuring high data quality, performance, and usability for analytics and business applications.
Key Responsibilities
Data Modeling & Development
Design, build, and manage data models (graphical, SQL, entity relationship models) in SAP Datasphere.
Develop local tables, views, analytical datasets, and semantic models to support reporting and analytics use cases.
Implement data transformations, calculation logic, and business rules using DSP capabilities.
Write high‑quality, efficient SQL scripts for data extraction, transformation, and loading (ETL/ELT).
Optimize SQL queries for performance, scalability, and data accuracy.
Troubleshoot SQL and modeling‑related issues across datasets and data flows.
Familiarity with SAP ecosystem (e.g., ABAP, BWonHANA, BW/4HANA, SAP Analytics Cloud)
Work with Data Integration Monitor, Replication Flows, and Connections within SAP Datasphere.
Collaborate with data architects, analysts, business SMEs, and engineering teams to understand requirements and translate them into DSP models.
Soft Skills
Strong analytical thinking and problem‑solving skills.
Good communication and stakeholder‑management abilities.
Adaptability and willingness to learn emerging SAP data technologies.
Responsibilities
SAP Datasphere:
We are seeking an experienced SAP Datasphere Developer with strong expertise in building scalable data models and hands‑on proficiency in SQL. The ideal candidate will design, develop, and optimize data models within SAP Datasphere (DSP), ensuring high data quality, performance, and usability for analytics and business applications.
Key Responsibilities
Data Modeling & Development
Design, build, and manage data models (graphical, SQL, entity relationship models) in SAP Datasphere.
Develop local tables, views, analytical datasets, and semantic models to support reporting and analytics use cases.
Implement data transformations, calculation logic, and business rules using DSP capabilities.
Write high‑quality, efficient SQL scripts for data extraction, transformation, and loading (ETL/ELT).
Optimize SQL queries for performance, scalability, and data accuracy.
Troubleshoot SQL and modeling‑related issues across datasets and data flows.
Familiarity with SAP ecosystem (e.g., ABAP, BWonHANA, BW/4HANA, SAP Analytics Cloud)
Work with Data Integration Monitor, Replication Flows, and Connections within SAP Datasphere.
Collaborate with data architects, analysts, business SMEs, and engineering teams to understand requirements and translate them into DSP models.
Soft Skills
Strong analytical thinking and problem‑solving skills.
Good communication and stakeholder‑management abilities.
Adaptability and willingness to learn emerging SAP data technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design enterprise-grade data models that support dynamic part/station relationships, historical plan versions, AI-driven insights, and collaboration workflows — across polyglot data stores.
Shape
Key Responsibilities:
Define and evolve logical and physical data models for core entities (parts, tools, stations, processes, plans, versions).
Create semantic data layers that support AI agent reasoning, Copilot queries, and planner views.
Model versioning-aware relationships — enable tracking of change history, deltas, and rollback paths.
Design graph and document models for relationships and dependencies (e.g., part↔station↔variant mappings).
Collaborate with engineering teams to ensure data models match service contracts (GraphQL/REST APIs).
Partner with AI/ML team to support knowledge graph, embeddings, and metadata tagging.
Define standards for schema evolution, validations, canonical references, and entity resolution.
Contribute to a central data dictionary and model governance framework for all teams.
Shape
Required Skills:
Expertise in data modeling techniques: ER diagrams, star/snowflake schemas, graph models, document structures.
Hands-on with PostgreSQL, MongoDB, Neo4j, and Redis — know when to use what.
Familiarity with data modeling tools: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.
Experience in version-controlled data models, soft deletes, entity lineage, and temporal modeling.
Strong understanding of microservice boundaries and data contract ownership.
Modeling systems for manufacturing, PLM, or ERP-style applications (BOMs, process structures, routing).
Exposure to semantic layer / ontology modeling for AI platforms.
Building multi-modal data models to support structured, unstructured, and graph data in the same product.
Shape
Key Performance Indicators (KPIs):
100% alignment between logical models and API/service contracts.
< 10% schema churn per quarter (reflecting design stability).
Zero critical integration defects due to schema or relationship mismatches.
Performance targets met for cross-entity queries (< 1s response for planner views)
Responsibilities
Design enterprise-grade data models that support dynamic part/station relationships, historical plan versions, AI-driven insights, and collaboration workflows — across polyglot data stores.
Shape
Key Responsibilities:
Define and evolve logical and physical data models for core entities (parts, tools, stations, processes, plans, versions).
Create semantic data layers that support AI agent reasoning, Copilot queries, and planner views.
Model versioning-aware relationships — enable tracking of change history, deltas, and rollback paths.
Design graph and document models for relationships and dependencies (e.g., part↔station↔variant mappings).
Collaborate with engineering teams to ensure data models match service contracts (GraphQL/REST APIs).
Partner with AI/ML team to support knowledge graph, embeddings, and metadata tagging.
Define standards for schema evolution, validations, canonical references, and entity resolution.
Contribute to a central data dictionary and model governance framework for all teams.
Shape
Required Skills:
Expertise in data modeling techniques: ER diagrams, star/snowflake schemas, graph models, document structures.
Hands-on with PostgreSQL, MongoDB, Neo4j, and Redis — know when to use what.
Familiarity with data modeling tools: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.
Experience in version-controlled data models, soft deletes, entity lineage, and temporal modeling.
Strong understanding of microservice boundaries and data contract ownership.
Modeling systems for manufacturing, PLM, or ERP-style applications (BOMs, process structures, routing).
Exposure to semantic layer / ontology modeling for AI platforms.
Building multi-modal data models to support structured, unstructured, and graph data in the same product.
Shape
Key Performance Indicators (KPIs):
100% alignment between logical models and API/service contracts.
< 10% schema churn per quarter (reflecting design stability).
Zero critical integration defects due to schema or relationship mismatches.
Performance targets met for cross-entity queries (< 1s response for planner views)
Salary : Rs. 15,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the documentation of software specifications and design.
- Collaborate with cross-functional teams to gather requirements and provide technical insights.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow Configuration Management Database (CMDB).
- Strong understanding of software development life cycle methodologies.
- Experience with modern programming languages and frameworks.
- Ability to troubleshoot and resolve software issues effectively.
- Familiarity with agile development practices and tools.
Responsibilities
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the documentation of software specifications and design.
- Collaborate with cross-functional teams to gather requirements and provide technical insights.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow Configuration Management Database (CMDB).
- Strong understanding of software development life cycle methodologies.
- Experience with modern programming languages and frameworks.
- Ability to troubleshoot and resolve software issues effectively.
- Familiarity with agile development practices and tools.
Salary : Rs. 0.0 - Rs. 1,32,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and responsiveness to evolving project demands. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Strong knowledge of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software components.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration of software solutions across diverse platforms.- Excellent problem-solving skills with a focus on delivering business value
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and responsiveness to evolving project demands. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Strong knowledge of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software components.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration of software solutions across diverse platforms.- Excellent problem-solving skills with a focus on delivering business value
Salary : Rs. 0.0 - Rs. 2,76,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
