Description:
Level: Security Engineer III
Work you’ll do:
As a Senior Consultant, you will be supporting the team/clients with their Cyber needs specifically helping them address Application Security concerns and navigate the journey on the SAP Platform. This will include:
· Demonstrate commitment to continuous improvement through regular discussion with the client and/or internal teams to assess service delivery
· Serve as a subject matter expert in multiple domains of SAP Application Security and GRC Access Control, etc.
· Lookout for potential risks on client engagements diligently and highlight to leadership proactively
· Demonstrate strong people management & networking skills
· Foster a culture of collaboration and build team members’ strengths
· Play a substantive/lead role on projects including project planning, management and managing quality
· Participate in proposal development efforts
· Participate in team management and training efforts at practice level
Qualifications
Must Have Skills/Project Experience/Certifications:
· Minimum 5 to 7 years of experience with SAP Security, SAP GRC 10.x/ 12.x Access Control modules and S/4 Hana
· Experience in full cycle SAP S/4 or ECC Security assessments, design, and implementations as well as understanding of leading practices as it relates to ERP security. Security experience with SAP Fiori, BI, SRM, CRM, SCM, MDG and HR a plus
· Understand leading practices as it relates to SAP Security, and provide recommendations to clients on security role design and implementation
· Strong understanding of Segregation of Duties frameworks
· Ability to design, implement, and test SAP automated, manual, security, and segregation of duty controls
· Excellent written and verbal communication skills
· Strong project management and organizational skills
Good to Have Skills/Project Experience/Certifications:
· Certifications such as: CISSP, CISM, or CISA certification a plus
· Big 4 experience
Education:
· B.Tech/M.Tech/MS
Location:
· Hyderabad/Bengaluru/Pune/Gurgaon
Responsibilities
Description:
Level: Security Engineer III
Work you’ll do:
As a Senior Consultant, you will be supporting the team/clients with their Cyber needs specifically helping them address Application Security concerns and navigate the journey on the SAP Platform. This will include:
· Demonstrate commitment to continuous improvement through regular discussion with the client and/or internal teams to assess service delivery
· Serve as a subject matter expert in multiple domains of SAP Application Security and GRC Access Control, etc.
· Lookout for potential risks on client engagements diligently and highlight to leadership proactively
· Demonstrate strong people management & networking skills
· Foster a culture of collaboration and build team members’ strengths
· Play a substantive/lead role on projects including project planning, management and managing quality
· Participate in proposal development efforts
· Participate in team management and training efforts at practice level
Qualifications
Must Have Skills/Project Experience/Certifications:
· Minimum 5 to 7 years of experience with SAP Security, SAP GRC 10.x/ 12.x Access Control modules and S/4 Hana
· Experience in full cycle SAP S/4 or ECC Security assessments, design, and implementations as well as understanding of leading practices as it relates to ERP security. Security experience with SAP Fiori, BI, SRM, CRM, SCM, MDG and HR a plus
· Understand leading practices as it relates to SAP Security, and provide recommendations to clients on security role design and implementation
· Strong understanding of Segregation of Duties frameworks
· Ability to design, implement, and test SAP automated, manual, security, and segregation of duty controls
· Excellent written and verbal communication skills
· Strong project management and organizational skills
Good to Have Skills/Project Experience/Certifications:
· Certifications such as: CISSP, CISM, or CISA certification a plus
· Big 4 experience
Education:
· B.Tech/M.Tech/MS
Location:
· Hyderabad/Bengaluru/Pune/Gurgaon
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Descriptions: Data Architect
location ~BANGALORE~
Skills: Digital : PySpark~Data Architecture and Modeling
Experience Required: 10 & Above
Must-Have** We are looking for a highly capable Data Analyst / Data Modeler contractor to support a major enterprise data transformation programme, the Data Integration Hub (DIH).
This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.
You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.
• Strong experience in data modelling (conceptual, logical, physical)
• Proven capability in data analysis and source-to-target mapping
• Advanced SQL skills for profiling, validation, and complex queries
• Experience defining transformation logic / pseudo-code for data pipelines
• Good understanding of data warehousing and ETL/ELT processes
• Strong problem-solving and data debugging skills
• Experience working in complex, multi-system data environments
• Knowledge of PySpark, SparkSQL advantageous to the role
Good-to-Have
• A hands-on, detail-oriented data specialist who thrives in complex environments
• Someone who can bridge business and engineering with clarity and structure
• Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions
• Experience in data reconciliation, quality, and governance-driven programmes is highly desirable
Responsibilities
Role Descriptions: Data Architect
location ~BANGALORE~
Skills: Digital : PySpark~Data Architecture and Modeling
Experience Required: 10 & Above
Must-Have** We are looking for a highly capable Data Analyst / Data Modeler contractor to support a major enterprise data transformation programme, the Data Integration Hub (DIH).
This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.
You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.
• Strong experience in data modelling (conceptual, logical, physical)
• Proven capability in data analysis and source-to-target mapping
• Advanced SQL skills for profiling, validation, and complex queries
• Experience defining transformation logic / pseudo-code for data pipelines
• Good understanding of data warehousing and ETL/ELT processes
• Strong problem-solving and data debugging skills
• Experience working in complex, multi-system data environments
• Knowledge of PySpark, SparkSQL advantageous to the role
Good-to-Have
• A hands-on, detail-oriented data specialist who thrives in complex environments
• Someone who can bridge business and engineering with clarity and structure
• Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions
• Experience in data reconciliation, quality, and governance-driven programmes is highly desirable
Salary : Rs. 90,000.0 - Rs. 1,65,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Title: Senior Software Engineer (UI)
Location: Bangalore
About the Role
We build and operate a modern, cloud-based, AI-enabled analytics platform for Commercial Real Estate (CRE) organizations. The platform delivers scalable, secure, and high-performance analytics that transform complex operational data into actionable insights.
As a UI Engineer, you will focus on building polished, accessible, and performant user interfaces using React and TypeScript, integrated with GraphQL APIs and NestJS-based microservices. This role emphasizes frontend craftsmanship, engineering quality, and AI augmented development as a core expectation.
Responsibilities
Frontend Development
• Design, develop, and independently deliver moderately complex user-facing features using React and TypeScript with limited guidance.
• Build scalable, reusable UI components aligned with design systems and shared component libraries.
• Implement state management and data fetching using GraphQL (Apollo Client).
• Integrate frontend applications with NestJS-based microservices to deliver end-to-end product features.
• Apply sound engineering judgment within established frontend architecture and coding standards.
• Ensure high standards of performance, responsiveness, accessibility (WCAG), and cross-browser compatibility.
• Demonstrate ownership of UI quality, maintainability, and user experience outcomes.
UI / UX Collaboration
• Collaborate closely with UX designers to translate Figma designs, wireframes, and prototypes into production-ready interfaces.
• Implement pixel-accurate layouts with strong attention to spacing, typography, and visual consistency.
• Provide input on usability and UX improvements based on frontend implementation experience.
• Actively participate in design and technical discussions, contributing to team-level decisions.
Quality & Engineering Practices
• Write unit and component tests using Jest and React Testing Library to ensure reliable test coverage.
• Use Mock Service Worker (MSW) for API mocking in frontend tests.
• Participate in code reviews with attention to UI quality, performance, accessibility, and maintainability.
• Maintain and improve frontend build tooling using Webpack, along with linting and formatting via ESLint and Prettier.
• Follow CI/CD practices and contribute to frontend build and deployment pipeline maintenance.
• Support automated quality checks and continuously improve engineering standards and workflows.
AI Augmentation & Agent Development
• Use AI-powered development tools such as Cursor AI and GitHub Copilot across the SDLC to improve productivity in coding, testing, refactoring, and documentation.
• Build or contribute to basic AI agents and AI-augmented automation for frontend workflows, including:
UI test generation and maintenance
Component scaffolding and refactoring
Accessibility auditing and validation
• Actively explore and adopt emerging AI tools and practices that enhance frontend engineering velocity and code quality.
• Contribute ideas and improvements to developer productivity, tooling, and automation initiatives.
Collaboration & Growth
• Collaborate with backend engineers, product managers, and designers in an Agile environment.
• Participate in sprint planning, design reviews, and retrospectives.
• Share knowledge through documentation and technical discussions.
• Stay current with the React ecosystem, GraphQL best practices, modern CSS, and frontend tooling.
Qualifications
Basic Qualifications
• BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 3–5 years of professional software engineering experience with a strong focus on frontend / UI development.
• Strong proficiency in React and TypeScript.
• Solid understanding of HTML5, CSS3, and modern JavaScript (ES6+).
• Experience integrating frontend applications with GraphQL APIs.
• Familiarity with microservices architectures and frontend–backend integration patterns.
• Experience with Git and collaborative development workflows.
• Hands-on experience using AI-assisted development tools in day-to-day engineering work.
Preferred Qualifications
• Experience working with or alongside NestJS-based microservices.
• Familiarity with GraphQL client libraries such as Apollo Client.
• Experience with frontend testing tools including Jest, React Testing Library, Cypress, or Playwright.
• Exposure to frontend performance optimization techniques (lazy loading, code splitting, memoization).
• Familiarity with design systems, accessibility tooling, and component-driven development.
• Exposure to LLM APIs, agent frameworks, or AI-enabled frontend automation.
Suggested Skills
• React / TypeScript
• GraphQL (Apollo Client)
• UI Architecture & Design Systems
• Frontend Testing (Jest, RTL, MSW)
• Build & Tooling (Webpack, ESLint, Prettier)
• CI/CD for Frontend
• AI-assisted Software Development & Automation
Additional Information
• AI-assisted development is a core expectation for this role.
• The team builds modern UI systems backed by GraphQL, NestJS microservices, and intelligent automation.
• This role offers opportunities to deepen frontend expertise while influencing how AI improves developer productivity and UI quality.
About JLL Technologies:
JLL Technologies is a division of JLL, a world leader in real estate services. We are shaping the future of real estate for a better world by combining world-class services and advisory with innovative technology. JLL has invested more in technology than any other commercial real estate company, enabling us to develop industry-leading AI-powered solutions. We are committed to fostering a diverse and inclusive culture where our people can thrive and grow meaningful careers.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description
What does this job involve?
As a ServiceNow Enterprise Architect, you will serve as the technical authority and strategic advisor for enterprise-wide ServiceNow implementations. You will lead complex solution designs, architect transformative platforms, and provide expert guidance to cross-functional teams. This role requires deep technical expertise combined with business acumen to deliver exceptional value through the ServiceNow platform for our real estate customers.
Certification as a Certified Master Architect (CMA) is highly desirable.
As an Enterprise Architect you will be responsible for:
• Design and oversee enterprise-scale ServiceNow architectural solutions that align with business objectives and technology roadmaps; collaborate with project management, business analysts, and development teams to ensure successful solution delivery
• Lead technical discovery sessions with stakeholders to translate business requirements into comprehensive solution architectures
• Partner with business stakeholders, project managers, and vendor teams to translate business requirements into technical specifications. Communicate complex technical concepts to non-technical audiences and provide technical expertise during client presentations.
• Develop and maintain architectural standards, patterns, and governance frameworks for ServiceNow implementations
• Design and oversee integrations between ServiceNow modules and other systems
• Provide technical leadership and mentorship to development teams throughout the solution lifecycle; act as the escalation point for complex technical challenges
• Establish and enforce ServiceNow development standards, coding best practices, and change management procedures. Conduct technical reviews and provide guidance to development teams to ensure solution quality and maintainability.
• Lead technical delivery across multiple concurrent workplace and safety-focused ServiceNow projects, ensuring consistent architecture approaches
• Identify and mitigate technical risks, ensuring solutions are scalable, secure, and maintainable
• Advise leadership on strategic platform capabilities, technical direction, and roadmap planning
• This role requires a collaborative mindset and the ability to build strong relationships across teams
• Knowledge of the WSD and Health and Safety module and understanding of the real estate domain a nice plus
Sound like you? Before you apply it’s worth knowing what we are looking for:
• ServiceNow Certified Master Architect (CMA) certification
• 8+ years of experience in IT service management and enterprise architecture
• 5+ years of hands-on experience implementing and customizing ServiceNow solutions
• Experience with WSD and HSE modules desirable
• Proven experience architecting complex, multi-instance ServiceNow environments
• Demonstrated experience designing enterprise-scale ServiceNow implementations with complex integration requirements. Strong understanding of web services, REST/SOAP APIs, and middleware technologies.
• Proven track record managing technical delivery on multiple concurrent projects, with experience in Agile/Scrum methodologies and project management frameworks.
• Expert-level knowledge of ServiceNow platform capabilities, limitations, and best practices
• Exceptional verbal and written communication skills, able to interact with all levels in the organization
• Comfortable with constantly evolving and changing priorities, enjoys new challenges
• Experience with business analysis or functional real estate knowledge in a professional services industry a plus
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Tech Product lead with Data Science. Please find the JD below for your reference:
About the Role
JLL's Portfolio Services Technology function is building Navigator, a next-generation AI-powered platform that enables clients and JLL teams to model complex real estate portfolio scenarios, evaluate strategic options and make data-driven decisions at scale. Central to Navigator's intelligence layer is the ability to understand and reason about location — integrating geospatial data, demographic intelligence, labour market analytics and real estate market signals into the AI agents that power the platform.
We are looking for a Technical Product Lead — Data Scientist who combines deep data science capability with a product mindset and specialist expertise in location intelligence and geospatial AI. This is a hands-on senior role that sits at the intersection of data science, AI agent development and product strategy. You will build and own the models, pipelines and geospatial frameworks that underpin Navigator's analytical capabilities, while working directly with engineering, product and design teams to ensure those capabilities are embedded effectively into the platform.
This is not a pure research role. You will be responsible for production-grade outputs that directly inform client-facing AI recommendations — from site selection and labour force mapping to cost modelling and ESG scoring.
What You Will Do
Location Intelligence & Geospatial AI
• Design and build geospatial models that power Navigator's location scoring, market positioning and demographic analysis capabilities, integrating data from CoStar, labour market sources and third-party geospatial providers
• Develop location-based AI agent capabilities, including the Analytics Agent's real-time market intelligence layer, enabling the platform to surface relevant location insights for any given portfolio scenario
• Build and maintain geospatial data pipelines that ingest, transform and serve location data at the scale required for multi-portfolio analysis — including property-level data, demographic overlays, transport networks and ESG indicators
• Integrate map functionality into the Navigator platform, including synchronised list and map views, property clustering, search and filtering, and data overlays — working closely with engineering to ensure performance and usability
• Evaluate and onboard geospatial data sources, including CoStar and other third-party providers, assessing data quality, coverage and commercial terms for inclusion in the platform
AI Agent Development & Data Science
• Design, train and validate machine learning models that underpin Navigator's multi-criteria scoring framework — including Cost Optimisation, ESG/Sustainability, Talent Accessibility, Market Positioning and Risk Mitigation axes
• Own the data science architecture for the AI Scenario Agent, developing the model logic that generates and evaluates alternate portfolio strategies based on client-defined criteria and weighted priorities
• Build RAG pipelines and document intelligence capabilities that enable agents to reason over lease documents, market reports and financial data — directly relevant to the Lease Admin Agents programme
• Define evaluation frameworks and guardrails for AI output quality, including bias detection, accuracy validation and responsible AI compliance — ensuring model outputs are commercially credible and production-ready
• Monitor and optimise model performance in production, using NPS data from Pendo and user feedback from Optimal Workshop to identify where model outputs are falling short and iterating accordingly
Product Strategy & Stakeholder Collaboration
• Act as the data science product authority, translating business requirements from deep dive workshops and SME sessions into data science specifications that engineering teams can build against
• Own the analytical product roadmap, defining how location intelligence, geospatial AI and data science capabilities will evolve across Navigator's development phases — from current MVP through to future iterations
• Contribute to the AWS platform selection decision, specifically assessing the geospatial and ML infrastructure capabilities of AWS AgentCore and related services against Navigator's analytical requirements
• Participate in Critical Design Reviews (CDR), providing data science and geospatial expertise to ensure architectural decisions support the analytical capabilities the product requires
• Present model outputs, methodology and validation findings to senior stakeholders and client-facing audiences in clear, non-technical language
Governance & Standards
• Maintain documentation on model methodology, data sources, validation outcomes and geospatial data lineage in Confluence — supporting CDR compliance and responsible AI governance
• Ensure all geospatial and AI models comply with JLL's data governance policies, applicable data privacy regulations, and the AI Terms Addendum obligations under vendor contracts
• Support token cost management and optimisation across AI agent interactions, working with engineering to ensure the analytical layer operates efficiently at scale
What We Are Looking For
Essential
• 10+ years of hands-on data science experience, with at least 2 years working with geospatial data, location intelligence or spatial analytics in a product or platform environment
• Strong Python proficiency, including geospatial libraries such as GeoPandas, Shapely, Folium, PostGIS or equivalent
• Demonstrated experience building and deploying AI agents or LLM-based systems in production, including RAG design, agent orchestration and output evaluation
• Experience designing multi-criteria scoring and weighting frameworks for complex decision support applications
• Proficiency building and managing data pipelines on cloud infrastructure, ideally AWS or Azure
• Experience working with commercial real estate, demographic or labour market data sources — including CoStar, CBRE, or equivalent
• Strong product mindset — able to translate data science outputs into user-facing value and communicate model behaviour to non-technical stakeholders clearly
• Ability to operate across the full delivery cycle — from requirements and architecture through to production validation and iteration
Desirable
• Experience with AWS geospatial services, SageMaker or AWS AgentCore for production ML deployment
• Familiarity with ESG data frameworks, carbon emissions modelling or sustainability scoring methodologies
• Experience in real estate, financial services or enterprise SaaS environments
• Knowledge of vector databases, embeddings and semantic search for geospatial or document intelligence use cases
• Experience with Pendo, Optimal Workshop or equivalent product analytics and user research tools
• Familiarity with map rendering libraries and spatial visualisation tools for web applications
• Knowledge of responsible AI frameworks, bias evaluation and model governance for enterprise deployment
Key Technologies
Data Science
Geospatial
AI & Agents
Platform
Python · Pandas · NumPy · Scikit-learn · SQL (Postgres / SQLite)
GeoPandas · Shapely · PostGIS · Folium · CoStar API
LangChain / LlamaIndex · RAG · Vector DBs · AWS AgentCore · Claude / OpenAI
AWS / Azure · Confluence · Jira · Pendo · Optimal Workshop
Why This Role
Location intelligence is the foundation of every meaningful portfolio decision — and no one in the real estate industry is yet using it at the level Navigator is designed to operate. This role places you at the leading edge of how geospatial AI, location data and multi-agent systems come together in a production platform used by JLL's largest clients. You will not be running experiments — you will be building the analytical engine that powers decisions worth billions in real estate value. If you have the technical depth, the product instinct and the geospatial expertise, this is the role that lets you put all three to work.
About JLL
Jones Lang LaSalle (JLL) is a leading professional services firm specializing in real estate and investment management. Operating across more than 80 countries, JLL is committed to delivering technology-led solutions that create long-term value for clients, employees and communities.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
