INFOPARK

Senior Data Engineer

What You'll Do:

Design and build ETL/ELT pipelines that move data across our platform.

Model data for analytics and downstream consumption clean, well-documented, and built to last.

Review your teammates' code and pipelines, and have your own work reviewed in return.

Work directly with analysts, clinicians, and business teams to understand what they actually need (often different from what they first ask for).

Keep production stable. Investigate issues. Fix root causes, not symptoms.

Must-Haves:

hands-on experience with Apache Spark  you've written, tuned, and debugged Spark jobs in production.

hands-on experience with dbt  you've built and maintained dbt projects of meaningful size, written tests, and dealt with the messy parts (incremental models, macros, dependency hell).

Strong data modeling skills dimensional modeling, normalization vs. denormalization tradeoffs, slowly changing dimensions, and the judgment to know what to use when. We'll ask you to walk us through real models you've designed.

Excellent communication skills in both Arabic and English. Arabic fluency is required —you'll be working closely with stakeholders who prefer Arabic, and clear written and verbal communication is essential.

Nice-to-Haves:

Experience with Databricks.

Healthcare data background.

Experience with Airflow.

ci/cd pipelines 

familiar with open table formats (iceberg, delta lake, hudi)

Data catalog and data discovery

Location: Chennai

Jasper Report Developer

Summary:
We are looking for a Software Developer with strong hands-on experience in Node.js, advanced MongoDB aggregation queries, and Jasper Reports development. The role involves building high-performance backend services, designing complex data queries, and developing operational and analytical reports.
Key Responsibilities
Design and develop scalable backend services using Node.js.
Write optimized, production-grade code with strong performance considerations.
Build and maintain complex MongoDB aggregation pipelines for reporting and business logic.
Design, develop, and maintain Jasper Reports (JRXML, subreports, data sources, report optimization).
Integrate reporting modules with backend APIs and databases.
Troubleshoot performance issues in queries, APIs, and reports.
Collaborate with cross-functional teams to deliver reliable solutions.
Participate in code reviews, testing, and deployment activities.
Required Skills
Strong experience in Node.js (REST APIs, async programming, performance tuning).
Advanced experience with MongoDB, especially complex aggregation queries.
Hands-on experience in Jasper Reports development and optimization.
Strong debugging and problem-solving skills.
Experience with Git and Linux-based environments.
Nice to Have
Experience with microservices architecture.
Knowledge of Express.js or Fastify.
Experience in HIS/healthcare domain.

Node.js Full Stack Engineer

Strong hands-on experience in Node.js (performance, scalability, async programming). Solid experience with Express.js.
Strong understanding of microservices architecture and REST API design.
Excellent hands-on experience with MongoDB, including complex aggregation pipelines.
Working knowledge of AngularJS
Strong debugging, problem-solving, and production support skills. Ability to quickly learn new technologies and adapt to change.

Location: Chennai
Years of Experience: 4+

Solution Architect- Python

1. Solution Architect (1 Position)
Experience
10–15 Years
Role Summary
Lead the overall solution architecture for the PCK Platform, VA Dashboard, and Workers & Fatigue Dashboard, ensuring a scalable, cloud-native, secure, and AI-ready architecture aligned with AWS best practices. Own the end-to-end technical design, integration strategy, data architecture, and governance across all workstreams.
Key Responsibilities
1. Enterprise Solution Architecture
• Define the end-to-end architecture for all three workstreams.
• Design scalable cloud-native enterprise applications.
• Prepare High-Level Design (HLD) and review Low-Level Designs (LLD).
• Define application architecture, service decomposition, and integration patterns.
• Establish architectural standards, design principles, and development guidelines.
• Conduct architecture reviews and technical governance.

2. Application Architecture
• Design enterprise web application architecture.
• Design microservices and REST API architecture.
• Define workflow orchestration and business services.
• Design notification, scheduling, and event-driven components.
• Define authentication, authorization, and RBAC architecture.
• Ensure application scalability, availability, and maintainability.
3. Cloud & Integration Architecture
• Design AWS cloud-native architecture.
• Define integration architecture with CEreal, acCEss, CCTV systems, and enterprise services.
• Design API Gateway strategy and integration security.
• Define deployment architecture and environment strategy.
• Review cloud security, networking, monitoring, and logging architecture.
• Ensure compliance with AWS best practices.

4. Data & Analytics Architecture
• Design operational database architecture.
• Define Amazon Redshift analytics repository.
• Review metadata repository and data models.
• Define ETL integration strategy.
• Design data flows for AWS QuickSight dashboards.
• Review performance, scalability, and data governance.

5. AI & Intelligent Services Architecture
• Define the AI-ready architecture aligned with the overall solution.
• Guide the implementation of Knowledge Repository and Vector Database.
• Review RAG architecture proposed by AI Engineers.
• Define integration patterns between enterprise applications and AI services.
• Provide architectural guidance for future AI agents and conversational services.
• Ensure secure, scalable, and maintainable AI integration.

Technical Skills
Enterprise Architecture
• Enterprise Application Architecture
• Microservices Architecture
• RESTful API Design
• Event-Driven Architecture
• Domain-Driven Design (DDD)
• Integration Architecture
• Secure Application Design
Backend Technologies
• Python FastAPI
• REST APIs
• OAuth2 / JWT
• API Gateway Design
Cloud Technologies
• AWS Lambda
• Amazon API Gateway
• Amazon Cognito
• Amazon S3
• Amazon Redshift
• CloudWatch
• IAM
• VPC
• SNS / SQS
Database Technologies
• PostgreSQL
• Amazon Aurora PostgreSQL
• Amazon Redshift
• SQL Performance Optimization
• Database Design
• Data Modelling
Analytics
• AWS QuickSight
• Dashboard Architecture
• Reporting Data Models
• Data Warehousing Concepts
AI (Working Knowledge)
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLMs)
• Vector Databases (pgVector/OpenSearch)
• LangChain or equivalent AI orchestration frameworks
• Prompt Engineering concepts
• AI service integration using APIs
• AWS Bedrock or OpenAI services (preferred)

Good to Have
• Bedrock
• OpenSearch
• pgVector
• LangChain
• RAG
• GenAI Architecture
• EventBridge
• SQS
• SNS

Lead AI/ML Engineer

Lead AI/ML Engineer
Role Overview
We are looking for a Lead AI/ML Engineer with strong hands-on experience in Generative AI and LLM-based solutions to design, build, and deploy production-grade AI systems.
What the Role Will Focus On
• Designing and deploying LLM-powered applications (GPT, Claude, Llama, Mistral)
• Building conversational agents, copilots, and multi-agent workflows
• Architecting RAG pipelines, prompt strategies, and tool/function calling
• Developing scalable Python backends (FastAPI, async APIs, vector database integrations)
• Deploying solutions on AWS (Lambda, ECS/EKS, Bedrock, SageMaker, CI/CD pipelines)
• Collaborating with product and engineering teams to deliver enterprise-ready GenAI solutions
Required Skills & Experience
• Strong hands-on experience with Generative AI and LLM development
• Experience with LangChain, LangGraph, OpenAI Agents, CrewAI, or similar frameworks
• Solid Python engineering skills with microservices experience
• Proven ability to design end-to-end GenAI architectures
• Cloud-native deployment experience (AWS preferred)
Nice to Have
• Experience with multimodal AI (text, image, audio)
• Knowledge of knowledge graphs
• Experience with enterprise system integrations
Candidate Profile
• Mid- to senior-level technical leader who enjoys building and shipping solutions
• Comfortable owning projects end to end
• Collaborative, proactive, and passionate about GenAI innovation

Cloud Administrator

Job Summary
We are looking for a Senior solution architect, Azure Cloud to own and drive enterprise Azure infrastructure with a strong focus on architecture, resilience, security and compliance and alignment with Microsoft Well-Architected Framework and industry best practices. The ideal candidate brings 6–9 years of deep relavant Azure experience and has a track record of building well-governed, secure, and optimized cloud environments. This role requires someone who doesn’t just build infrastructure but continuously evaluates, hardens, and improves it.

Essential Duties and Responsibilities
Architecture & Strategy
- Well-Architected Framework + Cloud Adoption Framework (CAF)
- Enterprise-Scale Landing Zones (MG hierarchy, subscription vending)
- Multi-region BCDR design (RTO/RPO, paired regions)
- Architecture Decision Records (ADRs) and design documentation
Identity (Entra ID)
- Conditional Access (Zero Trust, risk-based)
- PIM, RBAC at scale, access reviews
- Hybrid identity (Entra Connect), B2B/B2C
- Managed identities + Workload Identity for AKS
Networking
- Hub-spoke / Virtual WAN topologies
- Front Door, App Gateway, WAF, Azure Firewall
- ExpressRoute, VPN, Private Endpoints
- DDoS, Network Watcher, NSG flow logs
DNS
- Azure Private DNS zones + Private Resolver
- Conditional forwarding, zone links (registration vs resolution)
- Split-horizon / hybrid name resolution
Certificates & Secrets
- Key Vault — lifecycle, auto-rotation
- Internal CA integration, Managed HSM
- Secret rotation patterns for apps
Compute & Containers
- AKS — networking modes, Workload Identity, ingress, upgrades
- VMs, VMSS, Bastion, Update Management
- App Service (slots, scaling), Azure Functions
- Container Apps, ACR (geo-replication)
Integration & PaaS
- API Management (policies, products, versioning)
- Service Bus, Event Grid, Event Hubs
- Logic Apps (Standard / Consumption)
Data
- Azure SQL / SQL MI, Cosmos DB
- PostgreSQL / MySQL Flexible Server
- Storage (Blob lifecycle, Files, NetApp), replication strategies
AI & Analytics
- Azure OpenAI / AI Foundry with private endpoints
- RAG patterns, content safety
- AI Search; Synapse / Fabric if in scope
Security & Compliance
- Defender for Cloud (CSPM/CWPP)
- Microsoft Sentinel (SIEM/SOAR)
- Azure Policy + initiatives, CIS/NIST compliance
Observability
- Azure Monitor, Log Analytics, App Insights
- KQL for analysis, action groups, auto-remediation
- Azure Resource Graph for inventory
Cost & FinOps
- Rightsizing, RI / Savings Plans
- Tagging, budgets, anomaly alerts
- FinOps practice (Inform → Optimize → Operate)
BCDR
- Azure Site Recovery, immutable backups
- Geo-replication for SQL / Cosmos / Storage
- Regional failover runbooks and DR drills
Hybrid & Migration
- Azure Arc (servers, K8s, data)
- Azure Migrate, DMS
- 6 R's — rehost / refactor / replatform / rearchitect
IaC & DevOps
- Terraform + Bicep
- YAML pipelines (Azure DevOps / GitHub Actions)
- Policy-as-Code, security scanning (Checkov / tfsec)
Automation
- PowerShell + Python (Azure SDK)
- Azure Automation (runbooks, hybrid worker)
- Event-driven via Functions / Logic Apps
Additional Responsibilities
Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information System required
Work Experience
Minimum 5+ years of relevant Azure cloud administration experience.
Preferred Knowledge, Skills and Abilities
Strong working knowledge of Cloud Adoption Framework and Well-Architected Framework, applied to design reviews and remediation
Hands-on proficiency with Python, PowerShell, and Azure CLI for administration, identity management, and automation
Deep understanding of Entra ID — authentication flows, token lifecycle, Conditional Access evaluation, directory
synchronization
Solid grasp of PKI — certificate chains, TLS handshake, formats (PFX, PEM, CER), and lifecycle management
Experience designing DNS resolution strategies across hybrid environments (private zones, conditional forwarding,
split-horizon)
Working knowledge of hybrid Azure networking — hub-spoke topologies, ExpressRoute / VPN, Private Endpoints, NSG and routing
fundamentals
Proficiency in Infrastructure-as-Code — Terraform and/or Bicep, including module design and policy-as-code
Baseline understanding of container platforms (AKS) — networking modes, ingress, workload identity
Ability to translate Advisor, Defender for Cloud, and Cost Management insights into actionable optimization, security, and
FinOps plans
Strong communication skills — articulating technical trade-offs and driving consensus across engineering and leadership
audiences

ERP Consultant

As a P2DP Finance Team Member, the person will play a key role in delivering informatics solutions that fulfill requirements for the Finance product team. We are seeking an experienced SAP S/4HANA Finance Specialist, focusing on Manufacturing Finance and supply chain accounting as Material Ledger, Product Costing, Inventory Valuation, Local and Group Consolidation and all related integration areas (Procurement, Intercompany Deliver, Marketing Plan to Cash, Make, Quality and Warehouse Management, Procurement and Demand to pay).



This is a role responsible for ensuring the integrity and stability of financial processes and related data in S/4HANA, supporting ongoing operations, system enhancements and business requests.



The ideal candidate will act as a functional consultant and system expert, ensuring financial accuracy, compliance, and smooth month-end and year-end activities within our SAP landscape.



The role:

- System Integrity & Financial Accuracy

- Ensure accuracy and consistency of financial data across all integrated SAP modules and external systems

- Support monthly costing runs and material ledger close activities

- Reconcile discrepancies between the different SAP modules

- Safeguard data consistency and compliance

- Operational & Project Support

- Support month-end and year-end closing processes for costing and inventory, ensuring timely and correct reporting

- Support local business, shared services and Global IT

- Third line support when needed

- Support hand-over of processes to the business owners to allow for an open door to put the accountability in the right place

- Provide improve ideas to global template and assist with deployment of new functionalities

- Go to person in case of business changes and system issues and restructuration of businesses, support with acquisition and divestment

- Monitor, test, and validate system changes to ensure compliance with Roche IT standards

- Participate in system upgrades, validation, and change management processes (e.g., using SolMan for testing and documentation)

- Collaboration & Business partnership

- Collaborate closely with finance, supply chain, and IT teams to align system functionality with business requirements

- Business minded individual will be key in this role (especially in the area of Cost and management accounting)

- At ease with S4 Hana environment

- Act as a consultant to the business, analyzing requirements, designing, building, testing, and implementing system changes

- Ensure continuous improvement of processes and data integrity within the S/4HANA environment

- Work as part of a SAFe Agile team (ART), contributing to sprint planning and delivery.



Qualifications:

- Consultant with expertise in SAP FI/CO ensuring financial data accuracy, compliance, and integrity; skilled in reconciliations, controls, and system configuration to support reliable financial statements and regulatory requirements

- Experience with SAP Service related (instrument installation, maintenance, spare parts ) costing, software related (selling, installation, subscription) costing development

- 5+ years of professional experience on SAP FI/CO with strong knowledge of:

a) Modules: ML (Material Ledger), CO PC (Product Costing), Intercompany processes, Integration (Procurement, Demand to Pay, Production, EWM, Quality and MP2C) and FI

b) Processes: Product Costing, Inventory Valuation, Inventory risk, Material Ledger Actual Costing, Intercompany profit in inventory, FBMC and Integration across modules

c) Master Data: Material Master, Cost Center and Product Costing Data

- Basic familiarity and experience with the other main integration areas of the system (SD, MM and PP), in particular the touch points between them and FI

- Experience with the system validation process, including documentation and testing of validated systems (preferably in Solution Manager (SolMan)

- Demonstrated ability to work in a multicultural, global and cross-functional environment across the globe

- Excellent communication and collaboration skills, with advanced English proficiency (written and spoken)

- Remote work is possible.

AI Algorithms Support Consultant

Key Responsibilities
1. Incident Management & Bug Fixing Investigate and resolve incidents reported on AI algorithms used by L'Oréal researchers (model crashes, wrong outputs, data pipeline failures, performance degradation) Diagnose root causes: data issues, code bugs, dependency conflicts, model drift Apply fixes, test and validate corrections before redeployment Document incidents and resolutions in the ticketing system
2. Algorithm Maintenance Apply patches, dependency updates and environment fixes Ensure models remain functional after infrastructure changes (cloud updates, library upgrades, data schema changes) Maintain and update data preprocessing pipelines feeding the models
3. Code Review & Quality Read, understand and improve existing Python codebases (often written by Data Scientists) Refactor poorly structured code to improve maintainability and reliability
4. Collaboration with R&I Teams
Required Skills
Core Technical Skills — Must Have
Domain Skills Level
Python Advanced Python, debugging, OOP, clean code - Expert
Data manipulation Pandas, NumPy, data wrangling, ETL pipelines- Intermediate
ML Frameworks Scikit-learn, TensorFlow or PyTorch (reading & fixing, not training from scratch) - Intermediate
API & services FastAPI, REST APIs, JSON, basic microservices - Intermediate
Version control Git + GitHub Advanced — see detail below- Intermediate
Environment management Poetry, pip, virtual environments, requirements management- Expert
Cloud — GCP AI Services, GCP Projects, Vertex AI, BigQuery, Service, Account, Google Storage (Buckets), Artifact Registry- Beginner
Containerisation Docker — run, build, debug a container - Intermediate
SQL Ability to query databases and investigate data issues - Intermediate