Job Description - Cybersecurity Consultant- Purview (26000BQY)
Cybersecurity Consultant- Purview - (26000BQY)
Missions
Key Responsibilities
1. Solution Architecture & Design
Design the end‑to‑end encryption solution for sensitive workloads on AWS (technical architecture, operating model, governance framework).
Integrate AWS KMS, XKS, CloudHSM with Thales HSMs and SG’s security ecosystem.
Ensure solution alignment with SG’s cloud, cybersecurity, and compliance standards.
Define dependency mapping, lifecycle management, and disaster recovery/BCP for key‑management services.
2. Validation & Cross‑Team Alignment
Present and validate the solution with Architecture teams, Security teams, and Cloud Governance.
Facilitate design reviews, architecture boards, risk assessments, and cryptographic compliance checks.
Ensure full traceability of decisions, risks, and technical controls.
3. Deployment, Automation & Documentation
Deploy and configure AWS KMS, XKS, CloudHSM environments and Thales integrations.
Automate deployment pipelines using CI/CD, infrastructure-as-code, and DevOps tooling.
Produce complete documentation (HLD, LLD, runbooks, standard operating procedures, security controls).
Build dashboards and monitoring for service health, key usage, and compliance adherence.
4. Proof of Concept (POC) & Scalability Validation
Execute a POC using a real-use case.
Evaluate performance, scalability, operational flows, and integration reliability.
Provide recommendations for optimization, security hardening, and operational efficiency.
5. Production Rollout & Service Enablement
Lead the service transition from POC to production-ready state.
Ensure the solution meets internal cloud platform criteria:
operational readiness
monitoring/alerting
secure CI/CD pipelines
service governance requirements
Build operational workflows with OSM, Operations, Cloud, and Security teams.
Drive incident response readiness, DR testing, and change control processes.
6. Knowledge Transfer & Team Upskilling
Educate and mentor team members on AWS HSM, KMS, XKS, encryption models, and cloud security.
Conduct training workshops, technical deep-dives, and documentation walkthroughs.
Help establish an internal competency framework for AWS-based key management systems.
Profile
We are seeking an AWS Architecture & Key Management expert to design, validate, and deliver the next‑generation C3 encryption solution on AWS, equivalent to SG’s existing Azure‑based service. This role is critical to enabling regulated workloads for platforms in public cloud.
The specialist will be the subject-matter expert (SME) for AWS Key Management Services, XKS (External Key Store), HSM (CloudHSM/Thales), and cloud encryption architectures. They will lead solution design, deployment, automation, validation, and production readiness—while also upskilling team members and ensuring alignment with SG’s internal cloud and security standards. You will work closely with Cloud, OSM, Architecture, and Security Governance teams across Paris, Bangalore, and Bucharest.
Required Skills & Technical Expertise
Core AWS Cryptography Expertise
AWS KMS, External Key Store (XKS), CloudHSM, key lifecycle management.
Integration with Thales HSMs and enterprise-grade encryption architectures.
Cloud Architecture & Security
Strong cloud architecture knowledge (AWS, Azure concepts an advantage).
Experience designing secure cloud services for regulated workloads.
Strong understanding of IAM, VPC security, encryption-in-transit/at-rest, and compliance frameworks.
DevOps & Automation
Experience with IaC and CI/CD pipelines (Terraform, CloudFormation, GitHub Actions, or Azure DevOps).
Background in automation for deployment, monitoring, and configuration at scale.
Cross-Team Collaboration
Ability to work with Architecture, Cloud, OSM, Governance, and Security Compliance teams.
Strong experience leading POCs, pilots, and service transition activities.
Governance & Operating Model
Experience defining operational models, service governance, risk assessments, and audit documentation.
Preferred Qualifications
Experience with enterprise HSM solutions (Thales, Luna, or equivalent).
AWS Solutions Architect – Professional
Responsibilities
Job Description - Cybersecurity Consultant- Purview (26000BQY)
Cybersecurity Consultant- Purview - (26000BQY)
Missions
Key Responsibilities
1. Solution Architecture & Design
Design the end‑to‑end encryption solution for sensitive workloads on AWS (technical architecture, operating model, governance framework).
Integrate AWS KMS, XKS, CloudHSM with Thales HSMs and SG’s security ecosystem.
Ensure solution alignment with SG’s cloud, cybersecurity, and compliance standards.
Define dependency mapping, lifecycle management, and disaster recovery/BCP for key‑management services.
2. Validation & Cross‑Team Alignment
Present and validate the solution with Architecture teams, Security teams, and Cloud Governance.
Facilitate design reviews, architecture boards, risk assessments, and cryptographic compliance checks.
Ensure full traceability of decisions, risks, and technical controls.
3. Deployment, Automation & Documentation
Deploy and configure AWS KMS, XKS, CloudHSM environments and Thales integrations.
Automate deployment pipelines using CI/CD, infrastructure-as-code, and DevOps tooling.
Produce complete documentation (HLD, LLD, runbooks, standard operating procedures, security controls).
Build dashboards and monitoring for service health, key usage, and compliance adherence.
4. Proof of Concept (POC) & Scalability Validation
Execute a POC using a real-use case.
Evaluate performance, scalability, operational flows, and integration reliability.
Provide recommendations for optimization, security hardening, and operational efficiency.
5. Production Rollout & Service Enablement
Lead the service transition from POC to production-ready state.
Ensure the solution meets internal cloud platform criteria:
operational readiness
monitoring/alerting
secure CI/CD pipelines
service governance requirements
Build operational workflows with OSM, Operations, Cloud, and Security teams.
Drive incident response readiness, DR testing, and change control processes.
6. Knowledge Transfer & Team Upskilling
Educate and mentor team members on AWS HSM, KMS, XKS, encryption models, and cloud security.
Conduct training workshops, technical deep-dives, and documentation walkthroughs.
Help establish an internal competency framework for AWS-based key management systems.
Profile
We are seeking an AWS Architecture & Key Management expert to design, validate, and deliver the next‑generation C3 encryption solution on AWS, equivalent to SG’s existing Azure‑based service. This role is critical to enabling regulated workloads for platforms in public cloud.
The specialist will be the subject-matter expert (SME) for AWS Key Management Services, XKS (External Key Store), HSM (CloudHSM/Thales), and cloud encryption architectures. They will lead solution design, deployment, automation, validation, and production readiness—while also upskilling team members and ensuring alignment with SG’s internal cloud and security standards. You will work closely with Cloud, OSM, Architecture, and Security Governance teams across Paris, Bangalore, and Bucharest.
Required Skills & Technical Expertise
Core AWS Cryptography Expertise
AWS KMS, External Key Store (XKS), CloudHSM, key lifecycle management.
Integration with Thales HSMs and enterprise-grade encryption architectures.
Cloud Architecture & Security
Strong cloud architecture knowledge (AWS, Azure concepts an advantage).
Experience designing secure cloud services for regulated workloads.
Strong understanding of IAM, VPC security, encryption-in-transit/at-rest, and compliance frameworks.
DevOps & Automation
Experience with IaC and CI/CD pipelines (Terraform, CloudFormation, GitHub Actions, or Azure DevOps).
Background in automation for deployment, monitoring, and configuration at scale.
Cross-Team Collaboration
Ability to work with Architecture, Cloud, OSM, Governance, and Security Compliance teams.
Strong experience leading POCs, pilots, and service transition activities.
Governance & Operating Model
Experience defining operational models, service governance, risk assessments, and audit documentation.
Preferred Qualifications
Experience with enterprise HSM solutions (Thales, Luna, or equivalent).
AWS Solutions Architect – Professional
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Cybersecurity Consultant- AWS Cryptography - (260008RP)
Missions
Key Responsibilities
1. Solution Architecture & Design
Design the end‑to‑end encryption solution for sensitive workloads on AWS (technical architecture, operating model, governance framework).
Integrate AWS KMS, XKS, CloudHSM with Thales HSMs and SG’s security ecosystem.
Ensure solution alignment with SG’s cloud, cybersecurity, and compliance standards.
Define dependency mapping, lifecycle management, and disaster recovery/BCP for key‑management services.
2. Validation & Cross‑Team Alignment
Present and validate the solution with Architecture teams, Security teams, and Cloud Governance.
Facilitate design reviews, architecture boards, risk assessments, and cryptographic compliance checks.
Ensure full traceability of decisions, risks, and technical controls.
3. Deployment, Automation & Documentation
Deploy and configure AWS KMS, XKS, CloudHSM environments and Thales integrations.
Automate deployment pipelines using CI/CD, infrastructure-as-code, and DevOps tooling.
Produce complete documentation (HLD, LLD, runbooks, standard operating procedures, security controls).
Build dashboards and monitoring for service health, key usage, and compliance adherence.
4. Proof of Concept (POC) & Scalability Validation
Execute a POC using a real-use case.
Evaluate performance, scalability, operational flows, and integration reliability.
Provide recommendations for optimization, security hardening, and operational efficiency.
5. Production Rollout & Service Enablement
Lead the service transition from POC to production-ready state.
Ensure the solution meets internal cloud platform criteria:
operational readiness
monitoring/alerting
secure CI/CD pipelines
service governance requirements
Build operational workflows with OSM, Operations, Cloud, and Security teams.
Drive incident response readiness, DR testing, and change control processes.
6. Knowledge Transfer & Team Upskilling
Educate and mentor team members on AWS HSM, KMS, XKS, encryption models, and cloud security.
Conduct training workshops, technical deep-dives, and documentation walkthroughs.
Help establish an internal competency framework for AWS-based key management systems.
Profile
We are seeking an AWS Architecture & Key Management expert to design, validate, and deliver the next‑generation C3 encryption solution on AWS, equivalent to SG’s existing Azure‑based service. This role is critical to enabling regulated workloads for platforms in public cloud.
The specialist will be the subject-matter expert (SME) for AWS Key Management Services, XKS (External Key Store), HSM (CloudHSM/Thales), and cloud encryption architectures. They will lead solution design, deployment, automation, validation, and production readiness—while also upskilling team members and ensuring alignment with SG’s internal cloud and security standards. You will work closely with Cloud, OSM, Architecture, and Security Governance teams across Paris, Bangalore, and Bucharest.
Required Skills & Technical Expertise
Core AWS Cryptography Expertise
AWS KMS, External Key Store (XKS), CloudHSM, key lifecycle management.
Integration with Thales HSMs and enterprise-grade encryption architectures.
Cloud Architecture & Security
Strong cloud architecture knowledge (AWS, Azure concepts an advantage).
Experience designing secure cloud services for regulated workloads.
Strong understanding of IAM, VPC security, encryption-in-transit/at-rest, and compliance frameworks.
DevOps & Automation
Experience with IaC and CI/CD pipelines (Terraform, CloudFormation, GitHub Actions, or Azure DevOps).
Background in automation for deployment, monitoring, and configuration at scale.
Cross-Team Collaboration
Ability to work with Architecture, Cloud, OSM, Governance, and Security Compliance teams.
Strong experience leading POCs, pilots, and service transition activities.
Governance & Operating Model
Experience defining operational models, service governance, risk assessments, and audit documentation.
Preferred Qualifications
Experience with enterprise HSM solutions (Thales, Luna, or equivalent).
AWS Solutions Architect – Professional
Responsibilities
Cybersecurity Consultant- AWS Cryptography - (260008RP)
Missions
Key Responsibilities
1. Solution Architecture & Design
Design the end‑to‑end encryption solution for sensitive workloads on AWS (technical architecture, operating model, governance framework).
Integrate AWS KMS, XKS, CloudHSM with Thales HSMs and SG’s security ecosystem.
Ensure solution alignment with SG’s cloud, cybersecurity, and compliance standards.
Define dependency mapping, lifecycle management, and disaster recovery/BCP for key‑management services.
2. Validation & Cross‑Team Alignment
Present and validate the solution with Architecture teams, Security teams, and Cloud Governance.
Facilitate design reviews, architecture boards, risk assessments, and cryptographic compliance checks.
Ensure full traceability of decisions, risks, and technical controls.
3. Deployment, Automation & Documentation
Deploy and configure AWS KMS, XKS, CloudHSM environments and Thales integrations.
Automate deployment pipelines using CI/CD, infrastructure-as-code, and DevOps tooling.
Produce complete documentation (HLD, LLD, runbooks, standard operating procedures, security controls).
Build dashboards and monitoring for service health, key usage, and compliance adherence.
4. Proof of Concept (POC) & Scalability Validation
Execute a POC using a real-use case.
Evaluate performance, scalability, operational flows, and integration reliability.
Provide recommendations for optimization, security hardening, and operational efficiency.
5. Production Rollout & Service Enablement
Lead the service transition from POC to production-ready state.
Ensure the solution meets internal cloud platform criteria:
operational readiness
monitoring/alerting
secure CI/CD pipelines
service governance requirements
Build operational workflows with OSM, Operations, Cloud, and Security teams.
Drive incident response readiness, DR testing, and change control processes.
6. Knowledge Transfer & Team Upskilling
Educate and mentor team members on AWS HSM, KMS, XKS, encryption models, and cloud security.
Conduct training workshops, technical deep-dives, and documentation walkthroughs.
Help establish an internal competency framework for AWS-based key management systems.
Profile
We are seeking an AWS Architecture & Key Management expert to design, validate, and deliver the next‑generation C3 encryption solution on AWS, equivalent to SG’s existing Azure‑based service. This role is critical to enabling regulated workloads for platforms in public cloud.
The specialist will be the subject-matter expert (SME) for AWS Key Management Services, XKS (External Key Store), HSM (CloudHSM/Thales), and cloud encryption architectures. They will lead solution design, deployment, automation, validation, and production readiness—while also upskilling team members and ensuring alignment with SG’s internal cloud and security standards. You will work closely with Cloud, OSM, Architecture, and Security Governance teams across Paris, Bangalore, and Bucharest.
Required Skills & Technical Expertise
Core AWS Cryptography Expertise
AWS KMS, External Key Store (XKS), CloudHSM, key lifecycle management.
Integration with Thales HSMs and enterprise-grade encryption architectures.
Cloud Architecture & Security
Strong cloud architecture knowledge (AWS, Azure concepts an advantage).
Experience designing secure cloud services for regulated workloads.
Strong understanding of IAM, VPC security, encryption-in-transit/at-rest, and compliance frameworks.
DevOps & Automation
Experience with IaC and CI/CD pipelines (Terraform, CloudFormation, GitHub Actions, or Azure DevOps).
Background in automation for deployment, monitoring, and configuration at scale.
Cross-Team Collaboration
Ability to work with Architecture, Cloud, OSM, Governance, and Security Compliance teams.
Strong experience leading POCs, pilots, and service transition activities.
Governance & Operating Model
Experience defining operational models, service governance, risk assessments, and audit documentation.
Preferred Qualifications
Experience with enterprise HSM solutions (Thales, Luna, or equivalent).
AWS Solutions Architect – Professional
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
escription
The Senior Full Stack Technical Lead is responsible for delivering highly complex, cloud based web applications and backend services using Angular and Java Spring Boot. This role serves as a senior individual contributor and technical leader, driving end to end solution design and implementation while partnering closely with product owners and engineering teams to deliver scalable, secure, and high quality solutions.
• Lead the design, development, testing, and support of enterprise scale, full stack solutions using Angular for UI and Java Spring Boot for backend services.
• Serve as the technical lead for complex initiatives with significant system dependencies, integrations, and risk.
• Perform hands on development including analysis, architecture design, coding, configuration, and testing across UI and API layers.
• Design and implement RESTful APIs and service integrations supporting Angular based web applications.
• Ensure adherence to company, security, and industry standards, providing technical guidance on complex or unusual scenarios.
• Apply advanced analytical skills to address challenges related to performance, scalability, resiliency, availability, and system capacity.
• Interpret business requirements and recommend best practice full stack technical solutions.
• Act as the primary technical expert on the team, resolving the most complex UI and backend issues.
• Mentor and guide engineers across UI and backend disciplines to build overall team capability.
• Operate as an Agile technical leader by:
o Engaging early in design and story refinement
o Delivering high quality, production ready software
o Driving automation and reusable engineering practices
o Developing unit tests and supporting integration and functional testing
o Providing warranty support and structured knowledge transfer to production support teams
o Ensuring delivery aligns with Product Owner acceptance criteria
Responsibilities
escription
The Senior Full Stack Technical Lead is responsible for delivering highly complex, cloud based web applications and backend services using Angular and Java Spring Boot. This role serves as a senior individual contributor and technical leader, driving end to end solution design and implementation while partnering closely with product owners and engineering teams to deliver scalable, secure, and high quality solutions.
• Lead the design, development, testing, and support of enterprise scale, full stack solutions using Angular for UI and Java Spring Boot for backend services.
• Serve as the technical lead for complex initiatives with significant system dependencies, integrations, and risk.
• Perform hands on development including analysis, architecture design, coding, configuration, and testing across UI and API layers.
• Design and implement RESTful APIs and service integrations supporting Angular based web applications.
• Ensure adherence to company, security, and industry standards, providing technical guidance on complex or unusual scenarios.
• Apply advanced analytical skills to address challenges related to performance, scalability, resiliency, availability, and system capacity.
• Interpret business requirements and recommend best practice full stack technical solutions.
• Act as the primary technical expert on the team, resolving the most complex UI and backend issues.
• Mentor and guide engineers across UI and backend disciplines to build overall team capability.
• Operate as an Agile technical leader by:
o Engaging early in design and story refinement
o Delivering high quality, production ready software
o Driving automation and reusable engineering practices
o Developing unit tests and supporting integration and functional testing
o Providing warranty support and structured knowledge transfer to production support teams
o Ensuring delivery aligns with Product Owner acceptance criteria
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Provide production support for .Net applications on Azure, ensuring stability and quick resolution.
________________________________________
• Responsibilities
o Monitor applications & handle incidents (ITIL-based)
o Troubleshoot .NET / API / application issues
o Support Azure services (App Services, Azure SQL, VM, Monitor)
o Perform RCA, bug fixes, and minor enhancements
o Manage deployments & releases
o Maintain logs, alerts, dashboards
________________________________________
• Skills
o .Net/.Net Core(C#)
o Azure HandsOn
o Production support & ITIL
o Debugging, logs analysis
Responsibilities
• Provide production support for .Net applications on Azure, ensuring stability and quick resolution.
________________________________________
• Responsibilities
o Monitor applications & handle incidents (ITIL-based)
o Troubleshoot .NET / API / application issues
o Support Azure services (App Services, Azure SQL, VM, Monitor)
o Perform RCA, bug fixes, and minor enhancements
o Manage deployments & releases
o Maintain logs, alerts, dashboards
________________________________________
• Skills
o .Net/.Net Core(C#)
o Azure HandsOn
o Production support & ITIL
o Debugging, logs analysis
Salary : As per industry standard.
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 frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with team members and adapting to evolving project needs are integral parts of the daily workflow, fostering innovation and continuous improvement in software development processes. 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.- Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing within the team.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Contact Center Technology Implementation.- Good To Have Skills: Experience with Contact Center Technology Capabilities.- Strong understanding of software development life cycle and agile methodologies.- Ability to design and implement scalable software components tailored to business needs.- Experience with debugging, testing, and optimizing software applications.- Familiarity with integration of software solutions within complex system environments
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 frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with team members and adapting to evolving project needs are integral parts of the daily workflow, fostering innovation and continuous improvement in software development processes. 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.- Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing within the team.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Contact Center Technology Implementation.- Good To Have Skills: Experience with Contact Center Technology Capabilities.- Strong understanding of software development life cycle and agile methodologies.- Ability to design and implement scalable software components tailored to business needs.- Experience with debugging, testing, and optimizing software applications.- Familiarity with integration of software solutions within complex system environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Business Architect, you will identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Your typical day will involve collaborating with various stakeholders to translate business needs into technology-enabled solutions and operating models. You will support transformation initiatives by developing business cases and guiding the implementation of key projects, ensuring alignment with organizational goals and objectives. Engaging with cross-functional teams, you will facilitate discussions that drive innovation and efficiency, ultimately contributing to the overall success of the organization. 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.- Facilitate workshops and meetings to gather requirements and drive consensus among stakeholders.- Mentor junior team members to enhance their skills and knowledge in business architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire BillingCenter.- Strong analytical skills to assess business processes and identify areas for improvement.- Experience in developing business cases and project proposals.- Ability to communicate complex concepts clearly to diverse audiences.- Familiarity with business process modeling and documentation techniques. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire BillingCenter.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
As a Business Architect, you will identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Your typical day will involve collaborating with various stakeholders to translate business needs into technology-enabled solutions and operating models. You will support transformation initiatives by developing business cases and guiding the implementation of key projects, ensuring alignment with organizational goals and objectives. Engaging with cross-functional teams, you will facilitate discussions that drive innovation and efficiency, ultimately contributing to the overall success of the organization. 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.- Facilitate workshops and meetings to gather requirements and drive consensus among stakeholders.- Mentor junior team members to enhance their skills and knowledge in business architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire BillingCenter.- Strong analytical skills to assess business processes and identify areas for improvement.- Experience in developing business cases and project proposals.- Ability to communicate complex concepts clearly to diverse audiences.- Familiarity with business process modeling and documentation techniques. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire BillingCenter.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
