Senior IAM Identity Security Associate (Saviynt Architect Level)

Job Title : L2 Operations Lead – Identity & Access Management (IDAM)

Experience : 5+ Years

Location : Gurugram Sector 59, Haryana

Work Mode : Hybrid

Support Level : L2 Operations

Domain : Identity & Access Management (IDAM)

Job Summary :

We are looking for an experienced L2 Operations Lead – IDAM to manage and support enterprise Identity and Access Management services. The ideal candidate should have hands-on experience with Azure AD (Microsoft Entra ID), Active Directory, Okta, CyberArk, access provisioning, and ITSM processes.

The role involves handling L1 / L2 escalations, troubleshooting identity and access issues, supporting privileged access management, maintaining operational documentation, participating in incident reviews, and coordinating with L3 engineering and other infrastructure teams to ensure service stability and security.

Mandatory Skills : IDAM, IAM, L2 Operations, Azure AD, Microsoft Entra ID, Active Directory, Okta, CyberArk, PAM, SSO, MFA, Access Provisioning, PowerShell, ServiceNow, Incident Management, ITIL, Identity Governance.

Key Responsibilities :

• Provide L1 / L2 operational support for Identity and Access Management services in an enterprise environment.
• Manage end-to-end incident resolution, from L1 / L1.5 escalation through investigation, resolution, and closure.
• Administer user access provisioning, modification, de-provisioning, and application access requests.
• Troubleshoot Azure AD, Active Directory, Okta, SSO, MFA, authentication, authorization, and access-related issues.
• Support CyberArk operations, privileged access management (PAM), and access control processes.
• Investigate directory service misconfigurations, access failures, and identity-related connectivity or routing issues.
• Maintain accurate ServiceNow tickets with clear investigation details, resolution steps, and closure notes.
• Participate in Major Incident Management (MIM) calls and assess whether incidents meet major incident criteria.
• Support root cause analysis (RCA), problem management, and change management activities.
• Maintain and update standard operating procedures (SOPs), knowledge-base articles, and operational documentation.
• Perform or coordinate backup and restoration of IAM service configurations, as applicable.
• Prepare periodic and on-demand operational reports, analyze incident trends, and present service performance updates.
• Lead or facilitate monthly service review meetings and participate in weekly engineering calls.
• Coordinate with Hosting, Network Security, DLP, Malware Protection, and other infrastructure teams to resolve cross-functional issues.
• Coordinate with relevant vendors for break-fix support and replacement of applicable infrastructure components.
• Support access-request certification and validation activities as part of Tier 0 access operations.
• Identify opportunities to automate repetitive IAM operations using PowerShell and other supported tools.
• Follow security policies, access governance standards, and operational compliance requirements.

Required Technical Skills :

• Identity & Directory Services : Azure AD (Microsoft Entra ID), Active Directory.
• Identity and Access Management : User lifecycle management, access provisioning, de-provisioning, access reviews, and entitlement management.
• SSO & Authentication : Single Sign-On (SSO), Multi-Factor Authentication (MFA), authentication and authorization troubleshooting.
• Privileged Access Management : CyberArk administration and operational support.
• Identity Platform : Okta administration and troubleshooting.
• ITSM : ServiceNow incident, problem, and change management.
• Scripting : PowerShell for troubleshooting, administration, and operational automation.
• Documentation & Reporting : SOPs, knowledge-base management, incident reporting, and trend analysis.

Preferred Tools & Technologies :

• Semperis
• Veza – Identity Security Posture Management (ISPM) and entitlement management
• CrowdStrike
• Microsoft Defender

Experience Requirements :

• 5+ years of relevant experience in Identity & Access Management, identity operations, or directory services administration.
• Hands-on experience in L2 production support and incident management.
• Experience supporting enterprise IAM environments with Azure AD, Active Directory, Okta, and / or CyberArk.
• Understanding of 24x7 operational support, escalation management, and service restoration processes.
• Experience working with ITIL-based incident, problem, and change management processes.
• Ability to coordinate with L3 engineering teams, security teams, infrastructure teams, and external vendors.
• Strong analytical, troubleshooting, documentation, and communication skills.
• Good verbal and written English communication skills.

Preferred Certifications :

• Microsoft Certified: Identity and Access Administrator Associate (SC-300)
• Okta Certified Professional
• CyberArk Defender
• Agile Practitioner Certification

Ideal Candidate Profile :

The ideal candidate is a hands-on IAM operations professional with strong troubleshooting skills, experience handling L2 escalations, and the ability to coordinate operational activities across multiple teams. Candidates with practical experience in directory services, SSO/MFA, privileged access management, access lifecycle operations, and ServiceNow are preferred.

About the Role

We are looking for a Solution Architect with 10–15 years of experience to design scalable, secure, and cloud-ready solutions. The role involves working with customers, Senior Solution Architects, business analysts, project managers, and engineering teams across cloud, modernization, microservices, integration, and digital transformation initiatives.

Must Have Skills

• 10–15 years of experience in software development, architecture, and enterprise application delivery.
• Strong experience with Azure and/or AWS and cloud-native architecture.
• Hands-on experience with Microservices, REST APIs, SOA, and system integration.
• Experience in application modernization and cloud migration.
• Knowledge of Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Understanding of cloud security, IAM, networking, monitoring, and disaster recovery.
• Ability to create architecture diagrams, solution designs, and technical documentation.
• Strong analytical, communication, and customer-facing skills.

Good To Have Skills

• AWS/Azure certifications.
• Experience with Serverless, Event-Driven Architecture, Messaging, and API Management.
• Exposure to SaaS / Multi-Tenant Architecture.
• Knowledge of Generative AI and AI-enabled solutions.
• Experience with pre-sales, POCs, estimations, and technical proposals.
• Exposure to application security and compliance.
• Experience working with global customers and distributed teams.

Responsibilities

• Design end-to-end solutions and independently own defined architecture workstreams.
• Translate business and technical requirements into application, cloud, integration, and deployment designs.
• Define microservice, API, integration, and data-flow architectures.
• Guide engineering teams on architecture implementation and conduct design/code reviews.
• Contribute to cloud migration, modernization, and digital transformation initiatives.
• Participate in customer workshops, technical discussions, POCs, and solution demonstrations.
• Identify and address architectural, performance, security, and technical risks.
• Ensure solutions follow defined architecture, security, and engineering standards.
• Work closely with the Senior Solution Architect on complex and strategic engagements.
• Develop reusable architecture patterns, templates, and technical accelerators

Next

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

Key Responsibilities

·       System Design: Design secure, scalable, and highly available multi-tenant cloud-based application architectures.

·       Integration Strategy: Build robust APIs, webhooks, and data pipelines for complex enterprise client connections.

·       Technical Guidance: Mentor software engineers and lead critical code and architecture reviews to ensure engineering excellence.

·       Performance & Security: Drive non-functional infrastructure needs including high uptime, strict data privacy compliance, and fast application response times.

·       Cross-Functional Collaboration: Partner closely with Product, Security, and Customer Success teams to align technical execution with business roadmaps.

Required Qualifications

·       Experience: 8+ years of experience in software engineering with at least 3+ years operating as a technical or solutions architect within a B2B SaaS environment.

·       Cloud & DevOps: Deep production knowledge of major cloud infrastructure (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and modern CI/CD automation pipelines.

·       Architecture Patterns: Proven expertise designing microservices, event-driven architectures, and high-performance relational and NoSQL database structures.

·       Communication: Strong written and verbal communication skills, with a proven ability to translate complex technical concepts clearly to both engineers and business stakeholders.

·       Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical work experience).

Preferred Skills

·        Prior experience managing architectural frameworks for enterprise compliance frameworks like SOC2, ISO 27001, or GDPR.

·        Background in building real-time data processing engines, stream frameworks, or integrating enterprise AI/ML components.

Lead Data Security Solution Engineer

Exp: 10+ years

Rate: 35 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime​

Responsibilities:

1. Technical and Database Assessment

Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records.

Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption.

Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up.

Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites.

2. Data-Level Authentication and Identity Integration

Assess authentication for named users, service identities, workloads, and analytical tools accessing databases.

Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology.

Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines.

Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions.

Align with tools currently available and identify gaps if any,

3. Fine-Grained Authorization and Data Firewalling

Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations.

Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate.

Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users.

Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic.

4. Auditing, Monitoring, and Traceability

Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used.

Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required.

Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements.

Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation.

5. Data Lifecycle, Revocation, and Deletion

Design controls for access revocation when users change roles, leave a project, or when licensing rights expire.

Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores.

Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers.

Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed.

6. Solution Architecture and Engineering

Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans.

Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints.

Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components.

Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams.

7. POC Design and Execution

Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks.

Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach.

Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios.

Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption.

What we expect:

Expected Deliverables

Technical assessment of databases, integrations, identities, and data flows

Current-state database security and capability assessment

Target-state data security architecture and detailed technical design

Database authentication and identity-integration design

Row-level, column-level, masking, and policy-enforcement design

Data firewalling and licensed-dataset isolation pattern

Audit, monitoring, traceability, and reporting design

Access revocation, retention, lifecycle, and deletion design

Solution options, feasibility, gap, dependency, and risk assessment

POC architecture, implementation, test results, and recommendations

Reusable implementation patterns and operational handover documentation

Required Technical Skills and Experience

Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths.

Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms.

Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management.

Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines.

Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support.

Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications.

Ability to evaluate heterogeneous database technologies and design platform-appropriate controls.

Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills.

Nice to have:

Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies.

Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment.

Experience designing and executing security POCs and converting validated patterns into production-ready designs.

Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data.

AI Solution Architect

Experience: 12+ Years

Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days

Primary Skills: Enterprise Architecture, Python, REST APIs, Microservices, Distributed Systems, Cloud (AWS/Azure/GCP), CI/CD, Docker, Kubernetes, Enterprise Data Architecture, Integration Patterns.

Preferred Skills: LLM Integrations, RAG Pipelines, AI Agents, Agentic Workflows, MCP (Model Context Protocol), Vector Databases, Prompt Engineering, LangChain/LlamaIndex, LLMOps, Multi-Agent Orchestration.

About the Role

At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core. We focus on building secure, scalable, production-grade AI systems that solve real business problems and deliver measurable outcomes.

We're looking for an AI Solution Architect who can own enterprise-level solution architecture end-to-end. The ideal candidate combines deep technical expertise with the ability to understand complex business challenges, engage with prospective clients, and design compelling, scalable, AI-native solutions.

This is a senior technical role at the intersection of enterprise architecture, pre-sales, solutioning, and delivery governance. You'll collaborate with leadership, engineering teams, and clients to architect solutions spanning AI integrations, RAG pipelines, agentic workflows, cloud infrastructure, and enterprise platforms.

This role requires a strong technical background and current hands-on expertise. Candidates with purely pre-sales experience or non-technical solutioning backgrounds will not be a fit.

Key Responsibilities

• Own end-to-end enterprise architecture for AI-native platforms, defining high-level and low-level designs across backend systems, data platforms, and AI components.
• Lead solutioning for complex enterprise engagements, translating client requirements into technically sound, secure, scalable, and commercially viable architectures.
• Define reference architectures and design standards for LLM integrations, RAG pipelines, agentic workflows, MCP-based integrations, and enterprise data platforms.
• Partner with pre-sales and business development teams to prepare RFP responses, technical proposals, solution presentations, and architecture documents.
• Lead client discovery sessions and technical presentations, communicating architectural decisions and trade-offs to technical and executive stakeholders.
• Conduct architecture reviews and technical assessments to ensure scalability

Roles & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.
2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.
3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.
4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.
5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.
6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.
7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

1. Strong Automation Architect Profile with cloud-based automation strategy and framework architecture
2. Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6 years focused continuously on hands-on automation, including automation strategy and framework architecture
3. Mandatory (Experience 2) – Must have hands-on expertise building automation using industry automation tools and frameworks.
4. Mandatory (Experience 3) – Must have a proven record designing scalable automation solutions and leading automation initiatives end to end.
5. Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
6. Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
7. Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
8. Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
9. Mandatory (Title) – Current title must include "Architect". Candidates currently titled Automation Engineer, QA Automation Lead, DevOps Engineer, Cloud Engineer, or other non-architect profiles will not be considered
10. Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
11. Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)

Position: Manager – Information Security

Experience: 8+ years (with minimum 3 years in leadership roles)

Location: Gurgaon

Qualification: Bachelors in IT/Computer Science; Preferred: MBA, CISSP, CISM, CISA, ISO 27001/27701 Lead Auditor and Lead Implementor

Key Responsibilities:

? Lead the design, implementation, and continuous improvement of the enterprise-wide ISMS and PIMS programs.

? Develop and manage the InfoSec strategy aligned with business goals and regulatory requirements (ISO 27001:2022, ISO 27701:2019, DPDPA, IT Act, CERT-In).

? Oversee security risk assessments, audits, and remediation plans across IT and business units.

? Manage a team of security professionals; mentor, coach, and evaluate performance.

? Collaborate with Legal, Compliance, IT, and Business stakeholders to ensure security by design.

? Lead incident response, RCA, and post-mortem reviews.

? Drive security awareness and training programs across the organization.

? Manage security budgets, vendor relationships, and contract negotiations.

Technical Skills:

? Strong knowledge of IBM QRadar SIEM, GTB DLP, CyberArk PAM, Wiz CNAPP, Sentinel One EDR, Qualys VA and other PT tools.

? Experience in cloud security governance (Preferred on AWS and Azure; Good to have GCP).

? Experience of MITRE ATT&CK, NIST CSF, CIS Controls, OWASP Top 10.

mail updated resume with salary details-

email: etalenthire[at]gmail[dot]com

satish: 88O 27 49 743

website: www.glansolutions.com

Must Have:

 Strong expertise in AEM (Adobe Experience Manager) 6.x or AEM as a Cloud Service

 Hands-on experience with AEM Sites, Assets, Templates, Components, Workflows

 Proficiency in Java, Sling, OSGi, JCR, Apache Felix

 Experience with AEM Dispatcher setup and caching strategies

 Design and implementation of scalable, secure AEM architectures

 Integration with third-party systems (e.g., REST/SOAP APIs, CRM, DAM, Analytics)

 Experience in designing and building custom AEM components and services

 Understanding of CI/CD processes and tools (e.g., Jenkins, Git, Adobe Cloud Manager)

Good to have:

 Familiarity with Adobe Experience Platform (AEP), Adobe Target, Adobe Analytics

 Knowledge of Personalization, SEO best practices, and Web Accessibility (WCAG)

 Experience with Single Sign-On (SSO), SAML, OAuth, Adobe IMS

 Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and containerization

(Docker/Kubernetes)

 Exposure to front-end frameworks (React, Angular, Vue)

Roles & Responsibilities:

 Design scalable, secure, and high-performance AEM architectures (Sites, Assets, Forms, etc.)

 Define content modeling, component architecture, workflows, templates, and metadata

structures.

 Provide guidance on AEM as a Cloud Service, on-premises, or hybrid models.

 Lead architectural decisions, including dispatcher configurations, CDN integration, and

caching strategies.

 Architect integrations with third-party services (CRMs, eCommerce platforms, analytics tools,

etc.)

 Design and oversee development of custom components, servlets, OSGi services, workflows,

and Sling models.

 Work on headless CMS architecture using AEM's GraphQL and Content Fragments.

 Lead a team of developers and QA

 Provide code reviews, mentor junior team members, and conduct technical training sessions.

 Resolve technical blockers and make architectural trade-offs.

 Present architectural decisions and conduct technical workshops or demos.

 Define and manage AEM DevOps pipelines using tools like Jenkins, Git, Adobe Cloud

Manager, etc.

 Enforce code quality, performance testing, and deployment standards.

Eligibility:

 Exp – 12+ Years

 Prior experience of working and collaborating with international clients will be preferred.

 Bachelor’s degree in computer science, Engineering, or related field.