Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Responsibilities
Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Responsibilities
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Lead System Engineer-Cisco Ironport - (260000K0)
Missions
Key Responsibilities
Architect and manage complex Cisco IronPort ESA deployments (physical & virtual), including high availability, clustering, and disaster recovery strategies.
Lead Tier-3/L4 troubleshooting for critical email security incidents, performing protocol-level analysis (SMTP, DNS, TLS) and root cause investigations.
Design and enforce security policies for spam filtering, malware protection (AMP), DLP, encryption, and outbreak filters to meet compliance and regulatory requirements.
Plan and execute migrations, upgrades, and capacity expansions for Cisco ESA appliances in large-scale environments.
Develop and execute test plans for new features, configurations, and integrations with Microsoft Exchange and Microsoft 365.
Integrate ESA with Security Management Appliance (SMA) for centralized reporting, quarantine management, and policy orchestration.
Automate operational tasks using CLI, scripting (Python/Bash), and APIs to improve efficiency and reduce manual overhead.
Collaborate with cross-functional teams (Messaging, Network, Security) to ensure seamless mail flow and secure integration with firewalls, DNS (SPF/DKIM and DMARC), and Active Directory.
Maintain comprehensive documentation for architecture, configurations, troubleshooting guides, and operational playbooks.
Provide technical leadership and mentorship to junior engineers and support teams.
Required Skills & Expertise
8+ years of experience in enterprise email security and messaging platforms, with 5+ years dedicated to Cisco IronPort ESA in large, complex environments.
Strong knowledge of SMTP, DNS, FTP, SSH, TCP/IP, and secure mail routing principles.
Expertise in Cisco ESA features: AMP, DLP, encryption, content filtering, reputation-based controls, and outbreak filters.
Hands-on experience with policy design, disaster recovery planning, and risk analysis for email security.
Proficiency in UNIX/Linux administration, scripting (PowerShell, Python, Bash), and automation frameworks.
Solid networking knowledge, including firewalls, NAT, subnetting, and load balancing.
Experience integrating ESA with Microsoft Exchange (2016/2019) and Microsoft O365 environments.
Familiarity with Active Directory/LDAP for directory integration and authentication.
Strong written and verbal communication skills for documentation and stakeholder engagement.
Profile
Key Responsibilities
Architect and manage complex Cisco IronPort ESA deployments (physical & virtual), including high availability, clustering, and disaster recovery strategies.
Lead Tier-3/L4 troubleshooting for critical email security incidents, performing protocol-level analysis (SMTP, DNS, TLS) and root cause investigations.
Design and enforce security policies for spam filtering, malware protection (AMP), DLP, encryption, and outbreak filters to meet compliance and regulatory requirements.
Plan and execute migrations, upgrades, and capacity expansions for Cisco ESA appliances in large-scale environments.
Develop and execute test plans for new features, configurations, and integrations with Microsoft Exchange and Microsoft 365.
Integrate ESA with Security Management Appliance (SMA) for centralized reporting, quarantine management, and policy orchestration.
Automate operational tasks using CLI, scripting (Python/Bash), and APIs to improve efficiency and reduce manual overhead.
Collaborate with cross-functional teams (Messaging, Network, Security) to ensure seamless mail flow and secure integration with firewalls, DNS (SPF/DKIM and DMARC), and Active Directory.
Maintain comprehensive documentation for architecture, configurations, troubleshooting guides, and operational playbooks.
Provide technical leadership and mentorship to junior engineers and support teams.
Required Skills & Expertise
8+ years of experience in enterprise email security and messaging platforms, with 5+ years dedicated to Cisco IronPort ESA in large, complex environments.
Strong knowledge of SMTP, DNS, FTP, SSH, TCP/IP, and secure mail routing principles.
Expertise in Cisco ESA features: AMP, DLP, encryption, content filtering, reputation-based controls, and outbreak filters.
Hands-on experience with policy design, disaster recovery planning, and risk analysis for email security.
Proficiency in UNIX/Linux administration, scripting (PowerShell, Python, Bash), and automation frameworks.
Solid networking knowledge, including firewalls, NAT, subnetting, and load balancing.
Experience integrating ESA with Microsoft Exchange (2016/2019) and Microsoft O365 environments.
Familiarity with Active Directory/LDAP for directory integration and authentication.
Strong written and verbal communication skills for documentation and stakeholder engagement.
Business Insight
At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
Responsibilities
Lead System Engineer-Cisco Ironport - (260000K0)
Missions
Key Responsibilities
Architect and manage complex Cisco IronPort ESA deployments (physical & virtual), including high availability, clustering, and disaster recovery strategies.
Lead Tier-3/L4 troubleshooting for critical email security incidents, performing protocol-level analysis (SMTP, DNS, TLS) and root cause investigations.
Design and enforce security policies for spam filtering, malware protection (AMP), DLP, encryption, and outbreak filters to meet compliance and regulatory requirements.
Plan and execute migrations, upgrades, and capacity expansions for Cisco ESA appliances in large-scale environments.
Develop and execute test plans for new features, configurations, and integrations with Microsoft Exchange and Microsoft 365.
Integrate ESA with Security Management Appliance (SMA) for centralized reporting, quarantine management, and policy orchestration.
Automate operational tasks using CLI, scripting (Python/Bash), and APIs to improve efficiency and reduce manual overhead.
Collaborate with cross-functional teams (Messaging, Network, Security) to ensure seamless mail flow and secure integration with firewalls, DNS (SPF/DKIM and DMARC), and Active Directory.
Maintain comprehensive documentation for architecture, configurations, troubleshooting guides, and operational playbooks.
Provide technical leadership and mentorship to junior engineers and support teams.
Required Skills & Expertise
8+ years of experience in enterprise email security and messaging platforms, with 5+ years dedicated to Cisco IronPort ESA in large, complex environments.
Strong knowledge of SMTP, DNS, FTP, SSH, TCP/IP, and secure mail routing principles.
Expertise in Cisco ESA features: AMP, DLP, encryption, content filtering, reputation-based controls, and outbreak filters.
Hands-on experience with policy design, disaster recovery planning, and risk analysis for email security.
Proficiency in UNIX/Linux administration, scripting (PowerShell, Python, Bash), and automation frameworks.
Solid networking knowledge, including firewalls, NAT, subnetting, and load balancing.
Experience integrating ESA with Microsoft Exchange (2016/2019) and Microsoft O365 environments.
Familiarity with Active Directory/LDAP for directory integration and authentication.
Strong written and verbal communication skills for documentation and stakeholder engagement.
Profile
Key Responsibilities
Architect and manage complex Cisco IronPort ESA deployments (physical & virtual), including high availability, clustering, and disaster recovery strategies.
Lead Tier-3/L4 troubleshooting for critical email security incidents, performing protocol-level analysis (SMTP, DNS, TLS) and root cause investigations.
Design and enforce security policies for spam filtering, malware protection (AMP), DLP, encryption, and outbreak filters to meet compliance and regulatory requirements.
Plan and execute migrations, upgrades, and capacity expansions for Cisco ESA appliances in large-scale environments.
Develop and execute test plans for new features, configurations, and integrations with Microsoft Exchange and Microsoft 365.
Integrate ESA with Security Management Appliance (SMA) for centralized reporting, quarantine management, and policy orchestration.
Automate operational tasks using CLI, scripting (Python/Bash), and APIs to improve efficiency and reduce manual overhead.
Collaborate with cross-functional teams (Messaging, Network, Security) to ensure seamless mail flow and secure integration with firewalls, DNS (SPF/DKIM and DMARC), and Active Directory.
Maintain comprehensive documentation for architecture, configurations, troubleshooting guides, and operational playbooks.
Provide technical leadership and mentorship to junior engineers and support teams.
Required Skills & Expertise
8+ years of experience in enterprise email security and messaging platforms, with 5+ years dedicated to Cisco IronPort ESA in large, complex environments.
Strong knowledge of SMTP, DNS, FTP, SSH, TCP/IP, and secure mail routing principles.
Expertise in Cisco ESA features: AMP, DLP, encryption, content filtering, reputation-based controls, and outbreak filters.
Hands-on experience with policy design, disaster recovery planning, and risk analysis for email security.
Proficiency in UNIX/Linux administration, scripting (PowerShell, Python, Bash), and automation frameworks.
Solid networking knowledge, including firewalls, NAT, subnetting, and load balancing.
Experience integrating ESA with Microsoft Exchange (2016/2019) and Microsoft O365 environments.
Familiarity with Active Directory/LDAP for directory integration and authentication.
Strong written and verbal communication skills for documentation and stakeholder engagement.
Business Insight
At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
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
