INFOPARK

Full Stack AI Engineer

Job Overview:
We are seeking a versatile Full Stack AI Engineer to join our team. The role focuses on building scalable, high-performance applications, with strong expertise in frontend (UI), backend (Python or Java), and quality engineering, along with exposure to AI/ML capabilities.

Full Stack Development & Integration

Frontend & Backend
• Frontend Development: Build responsive and high-performance frontend applications
using React / Angular.
• Backend Development: Build and maintain backend services using Python or Java
(Spring Boot / Microservices).
• API Design: Design and consume RESTful APIs.
• Architecture: Ensure scalability, performance, and clean architecture across the stack.

Cloud & DevOps
• Cloud Deployment: Deploy and manage applications on AWS / Azure / GCP.
• DevOps / MLOps: Work with Docker, CI/CD pipelines, and Git to support smooth
release cycles and production stability.

AI / ML Exposure
• AI Integration: Integrate AI/ML or GenAI features into applications where required.
• LLM APIs: Work with APIs like OpenAI / LLM-based services to power intelligent
application features.

Quality Engineering & Testing
• Test Automation: Write and maintain unit, integration, and automation tests using
JUnit, Selenium, Cypress, or TestNG.
• Code Quality: Ensure high code coverage, participate in code reviews, and uphold QA
best practices across the codebase.

Required Skills and Qualifications
Core Technical Experience
• Experience: 2+ years of professional experience in a software engineering role.
• Backend: Strong experience in Python or Java (Spring Boot / Microservices).
• Frontend: Hands-on experience with React / Angular.
• APIs & Design: Solid understanding of REST APIs and system design.
• Testing: Experience with QA/testing frameworks and automation tools.

QA / Testing Skills
• Automation Tools: Experience with Selenium / Cypress / TestNG or similar tools.
• Test Strategy: Understanding of test strategies and QA best practices.

Infrastructure & Tools
• Cloud: Experience with AWS / Azure / GCP.
• DevOps: Knowledge of Docker and CI/CD pipelines.
• Tools: Familiarity with Git and Agile methodologies.

AI Tools
• Core LLM & Coding Assistants: Claude, GPT-4o / Codex, Gemini, GitHub Copilot;
prompt engineering and model evaluation.
• RAG & Vector Databases: Pinecone, Chroma, pgvector; embedding, hybrid search,
and retrieval pipeline design.
• LangChain / LangGraph: Chains, agents, memory, tool use, and graph-based multistep workflows.
• Agent Orchestration: Multi-agent systems using CrewAI and N8N; task decomposition
and human-in-the-loop patterns.

Soft Skills
• Strong problem-solving skills.
• Good communication and collaboration.
• Ownership mindset and attention to detail.

Azure AI Engineer

About the Role:
We are looking for a mid-level Azure AI Engineer to design, build, and operationalize agentic AI solutions on the Microsoft Azure stack, with a primary focus on Azure AI Foundry. You will partner with business and technology stakeholders to translate operational and sales workflows into multi-agent systems that automate decisioning, document review, research, drafting, and lifecycle management. The role sits at the intersection of applied AI engineering, enterprise integration, and product thinking, and is well suited to someone who enjoys taking ambiguous business problems and shipping reliable, production-grade AI agents end to end.

Key Responsibilities:
• Agent design and development. Design and build single-agent and multi-agent solutions on Azure AI Foundry, including orchestration, tool use, function calling, retrieval augmented generation, and structured outputs.
• Solution architecture. Define end-to-end architectures spanning Azure AI Foundry, Azure OpenAI, Azure AI Search, Power Automate, Logic Apps, Functions, and event-driven integration patterns with enterprise systems such as Dynamics 365, SharePoint, and Microsoft 365.
• Prompt and behavior engineering. Develop, evaluate, and iterate on prompts, system instructions, taxonomies, and tool schemas. Tune agents for accuracy, latency, and cost across classification, extraction, decisioning, and drafting tasks.
• Evaluation and quality. Build evaluation harnesses, golden datasets, and observability dashboards. Drive measurable improvement release over release.
• AI safety and responsible AI. Implement guardrails for prompt injection, PII and PCI handling, content safety, grounding, and human in the loop checkpoints aligned with enterprise responsible AI standards.
• MLOps and deployment. Containerize, deploy, and operate agents using Azure DevOps. Manage environments, secrets via Azure Key Vault, model versions, and prompt versions across dev, test, and production.
• Integration and data. Build connectors and APIs that allow agents to read and write across CRM, ERP, ticketing, knowledge bases, and unstructured document stores. Work with structured data, documents, and email content.
• Documentation and enablement. Produce clear technical designs, runbooks, and enablement material for downstream developers, operators, and business users.

Required Qualifications
• 3 to 6 years of professional software or AI engineering experience, with at least 1 to 2 years building LLM powered applications in production.
• Hands on experience with Azure AI Foundry, Azure OpenAI Service.
• Working knowledge of Azure services including Functions, Logic Apps, Power Automate, AI Search, Storage, Key Vault, and Application Insights.
• Experience integrating with Microsoft Dynamics 365, the Power Platform, or Microsoft 365 services.
• Strong programming skills in Python.

Preferred Qualifications
• Solid understanding of REST APIs, asynchronous processing, event-driven design, and identity and access control on Azure.
• Experience embedding responsible AI controls including PII and PCI redaction, content filtering, and prompt injection defenses.
• Experience designing agentic patterns such as planner-executor, tool calling, retrieval augmented generation, multi-agent orchestration, and memory.
• Familiarity with prompt engineering, evaluation methodologies, and prompt and model versioning.
• Relevant Microsoft certifications, for example AI-102 or AZ-204.

Data Science Engineer - Revenue Management

Responsibilities:

Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance.

Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques.

Develop custom data models and algorithms to apply to data sets and run proof of concept studies.

Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.

Collaborate with software engineers to implement and test production quality code for AI/ML models.

Develop processes and tools to monitor and analyze data accuracy and models’ performance.

Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software.

Resolve customer complaints with software and respond to suggestions for enhancements.

Required Qualifications:

Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.

Proven ability to apply modeling and analytical skills to real-world problems.

Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).

Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++.

Absolutely must have: graduate school level knowledge of Revenue Management models and algorithms.

Experience (minimum 4 out of 7) with deployment of machine learning and statistical models on a cloud:

MLOps within the enterprise CI/CD process for ML models – 2 years

Experience deploying ML APIs in production environments in GCP using GKE – 2 years

Experience in using GCP Vertex AI for ML and BigQuery – 1 year

Knowledge in Terraform and Containers technologies – 2 years

Experience writing data processing jobs using GCP Dataflow and Dataproc – 2 years

Experience setting up ML model monitoring and autoscaling for ML prediction jobs – 1 year

Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub – 1 year

Desirable Qualifications:

Familiarity with airline, hospitality or retailing industries and decision support systems employed there.

Experience developing customer choice models, price elasticity estimation and market potential estimation.

Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.

SAP QM Consultant

Job Summary
The Sr. Solution Architect, D&T, SAP QM collaborates with the team in various locations to define, deliver and support IT enabled business solutions for the Quality and Operation functions. This role will also help determine business needs and design & deliver technical solutions for these areas. The delivery of Quality systems including project delivery, system configuration and enhancement plus production support in alignment with West D&T and company policies and procedures will be your main focus.

Essential Duties and Responsibilities
Possesses solid understanding of overall vision and business needs and utilize specialized expertise to collaborate with Quality and Operations to define detailed User Stories for D&T enablement of business needs. This includes interpreting any issues and recommending solutions or best practices.
Utilizes knowledge of best practices to help define strategic direction, help determine business needs and design & deliver technical solutions for QA, in partner with Application and Infrastructure.
Essential core member of agile sprint team(s) to configure and develop optimal technical solutions / features.
Provide technical delivery of functionality to meet defined business requirements as described in User Stories.
Provide system support and maintenance in alignment with standards and process set within the ERP Services Delivery model, West policies and procedures as well as Regulatory requirements including but not limited to Sarbanes-Oxley and FDA GMP.
Create and maintain system lifecycle documents in accordance with West policies and procedures, including creation and maintenance of SOPs, SOIs and Job Aids.
Work within and participates in the Change Control process.
Other duties as assigned
Additional Responsibilities
Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Minimum 5 years 5-8 years of relevant experience required .3 or more full implementations of SAP QM solutions
Preferred but not required: Agile & Scrum Certification, ITIL
Preferred Knowledge, Skills and Abilities
Solid SAP skills – system functionality and technical understanding of QM and related areas (PP, MM, PM)
Must be up to date on latest ERP release.
Strong HANA knowledge preferred
Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.
Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Support and contribute in Lean Sigma programs and activities towards delivery of the set target
Able to comply with the company’s safety and quality policy at all times
License and Certifications
Information Technology\Certified Scrum Manager Upon Hire preferred
Travel Requirements
10%: Up to 26 business days per year
Physical Requirements
Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.

Tulip MES Engineer

Digital Tulip MES Engineer

The Digital Tulip MES Engineer is a COE technical lead responsible for designing, deploying, and sustaining Tulip applications within a GMP‑regulated pharmaceutical manufacturing environment. This role blends process engineering, low‑code development, and compliance‑focused digital transformation to improve batch execution, documentation accuracy, deviation reduction, and overall plant performance. The engineer partners with QA, Operations, IT/OT, Validation, and corporate digital teams to ensure Tulip solutions meet regulatory requirements while driving operational excellence.

Shape

Key Responsibilities

1. Tulip Application Development & Deployment

Build and deploy GMP‑compliant Tulip apps for:

Electronic batch records (EBR) and batch execution steps

In‑process quality checks and sampling workflows

Equipment setup, cleaning, and line clearance verification

Material dispensing, weighing, and traceability

Deviation capture, CAPA workflows, and audit trails

Configure connectors to integrate Tulip with UNS, ERP, LIMS, historians, SCADA/PLC systems, and other validated platforms.

Develop dashboards to provide real‑time visibility into batch progress, quality metrics, and equipment performance.

2. Compliance, Validation & Documentation

Ensure all Tulip applications comply with GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity (ALCOA+) principles.

Create and maintain validation documentation (URS, FRS, IQ/OQ/PQ, risk assessments, change controls).

Partner with QA and Validation teams to ensure audit readiness and proper lifecycle management of digital systems.

Maintain secure, traceable, and compliant electronic records and audit trails.

3. Support, Sustainment & Continuous Improvement

Provide day‑to‑day support for Tulip apps, connectors, and edge devices in a validated environment.

Troubleshoot issues related to data integrity, device connectivity, and workflow logic.

Monitor system performance, user adoption, and data quality; drive continuous improvement initiatives.

Maintain version control, documentation, and change management in alignment with GMP expectations.

4. Workforce Training & Change Management

Train operators, supervisors, QA personnel, and engineers on new Tulip workflows.

Develop SOPs, training materials, and job aids that meet regulatory documentation standards.

Promote a culture of digital adoption, right‑first‑time execution, and data‑driven decision‑making.

5. Cross‑Functional Collaboration

Partner with QA, Validation, and IT/OT to ensure secure, compliant, and reliable infrastructure for Tulip deployments.

Collaborate with process engineering and operations to embed Tulip into new equipment, processes, and capital projects.

Work with corporate digital teams to align with enterprise architecture, cybersecurity, and digital strategy.

Shape

Qualifications

Bachelor’s degree in Engineering, Computer Science, Life Sciences, or related field.

2–5 years of experience in pharmaceutical manufacturing, process engineering, or digital systems.

Hands‑on experience with Tulip or similar low‑code MES/digital work instruction platforms.

Understanding of GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity requirements.

Experience validating computerized systems in a regulated environment.

Knowledge of SQL, APIs, OPC UA, or IoT integrations.

Experience with Lean, Six Sigma, or operational excellence methodologies.

Familiarity with pharma systems (ERP, LIMS, MES, SCADA, PLCs).

Strong analytical and problem‑solving skills with the ability to translate GMP workflows into digital solutions

Senior DevOps & Kubernetes Engineer

Job Summary
We are looking for a Senior DevOps & Kubernetes Engineer with deep, hands-on expertise across Azure DevOps pipelines, Kubernetes platform engineering, and hybrid cloud infrastructure spanning AKS, Rancher/SUSE, VMware, and Nutanix. The ideal candidate has operated production-grade container platforms at scale -- owning everything from pipeline authoring and pod lifecycle management to storage drivers, ingress, and load balancing -- and can troubleshoot deep Kubernetes internals and networking issues independently.
Essential Duties and Responsibilities
CI/CD with Azure Pipelines – Design, author, and maintain enterprise-scale Azure DevOps pipelines (YAML, multi-stage, templates, variable groups, environments, approvals, self-hosted agent pools). Drive release management, artifact promotion, and deployment strategies (blue/green, canary, rolling).
Kubernetes Platform Engineering – Operate production Kubernetes clusters across AKS, Rancher (RKE2/K3s), and SUSE Rancher Prime. Manage cluster lifecycle, upgrades, node pools, taints/tolerations, affinity rules, PodDisruptionBudgets, and HPA/VPA/Cluster Autoscaler.
Pod & Workload Management – Deep troubleshooting of pod scheduling, init containers, sidecars, probes (liveness/readiness/startup), resource requests/limits, QoS classes, OOMKills, eviction, and CrashLoopBackOff scenarios. Tune kubelet, container runtime (containerd), and cgroup behavior.
Networking (Cluster & Infra) – Design and operate cluster networking using CNI plugins (Calico, Cilium, Azure CNI), NetworkPolicies, service meshes (Istio/Linkerd), CoreDNS, kube-proxy/IPVS, and east-west traffic flows. Own ingress controllers (NGINX, Traefik, Istio Gateway) and integrate with external/internal load balancers (Azure LB, MetalLB, F5, NSX ALB/Avi).
Storage & CSI Drivers – Implement and operate persistent storage with CSI drivers including Azure Disk/File CSI, VMware vSphere CSI, Nutanix CSI, Longhorn, and Rook/Ceph. Manage StorageClasses, VolumeSnapshots, dynamic provisioning, topology-aware scheduling, and storage migration.
Hybrid & On-Prem Platforms – Run Kubernetes on VMware vSphere (with vSphere CSI/CPI), Nutanix AHV/Karbon, and bare-metal SUSE. Coordinate with virtualization, SAN/NAS, and network teams for capacity, datastore, and fabric design.
Load Balancing & Ingress – Architect L4/L7 load balancing across cloud (Azure Load Balancer, Application Gateway, Front Door) and on-prem (F5 BIG-IP, NSX ALB, MetalLB, kube-vip). Manage TLS termination, SNI, mTLS, WAF, session affinity, and health probes.
Infrastructure as Code & GitOps – Build reusable IaC with Terraform and Helm. Implement GitOps with Argo CD or Flux for declarative cluster and application delivery.
Observability & SRE – Stand up and operate Prometheus, Grafana, Loki, Alertmanager, and OpenTelemetry. Define SLIs/SLOs, drive incident response, post-mortems, and capacity planning.
Security & Compliance – Enforce Pod Security Standards, RBAC, OPA/Gatekeeper or Kyverno policies, image signing (Cosign), secret management (Key Vault, External Secrets, SealedSecrets), and CIS benchmark hardening.
Scripting proficiency in Python, Bash, PowerShell, and experience in using git, github projects
Additional Responsibilities
Work Experience
6 to 8 years of relevant hands-on DevOps / Platform Engineering experience in enterprise environments
Minimum 6 years operating production Kubernetes at scale
Proven track record of running workloads across at least two of: AKS, Rancher/SUSE, VMware, Nutanix
Preferred Knowledge, Skills and Abilities
Excellent problem solving and troubleshooting skills
Experience working in virtualized environments, preferably VMware and nutanix
Solid understanding of modern networking principles and practices
Participate in an on-call rotation for support of systems outside of normal business hours.
Planning and Co-ordination skills
Good Communication and Analytical skills
Able to comply with the company’s safety and quality policies always.

Senior Data Engineer

Job Summary
We are looking for a Senior DevOps & Kubernetes Engineer with deep, hands-on expertise across Azure DevOps pipelines, Kubernetes platform engineering, and hybrid cloud infrastructure spanning AKS, Rancher/SUSE, VMware, and Nutanix. The ideal candidate has operated production-grade container platforms at scale -- owning everything from pipeline authoring and pod lifecycle management to storage drivers, ingress, and load balancing -- and can troubleshoot deep Kubernetes internals and networking issues independently.
Essential Duties and Responsibilities
CI/CD with Azure Pipelines – Design, author, and maintain enterprise-scale Azure DevOps pipelines (YAML, multi-stage, templates, variable groups, environments, approvals, self-hosted agent pools). Drive release management, artifact promotion, and deployment strategies (blue/green, canary, rolling).
Kubernetes Platform Engineering – Operate production Kubernetes clusters across AKS, Rancher (RKE2/K3s), and SUSE Rancher Prime. Manage cluster lifecycle, upgrades, node pools, taints/tolerations, affinity rules, PodDisruptionBudgets, and HPA/VPA/Cluster Autoscaler.
Pod & Workload Management – Deep troubleshooting of pod scheduling, init containers, sidecars, probes (liveness/readiness/startup), resource requests/limits, QoS classes, OOMKills, eviction, and CrashLoopBackOff scenarios. Tune kubelet, container runtime (containerd), and cgroup behavior.
Networking (Cluster & Infra) – Design and operate cluster networking using CNI plugins (Calico, Cilium, Azure CNI), NetworkPolicies, service meshes (Istio/Linkerd), CoreDNS, kube-proxy/IPVS, and east-west traffic flows. Own ingress controllers (NGINX, Traefik, Istio Gateway) and integrate with external/internal load balancers (Azure LB, MetalLB, F5, NSX ALB/Avi).
Storage & CSI Drivers – Implement and operate persistent storage with CSI drivers including Azure Disk/File CSI, VMware vSphere CSI, Nutanix CSI, Longhorn, and Rook/Ceph. Manage StorageClasses, VolumeSnapshots, dynamic provisioning, topology-aware scheduling, and storage migration.
Hybrid & On-Prem Platforms – Run Kubernetes on VMware vSphere (with vSphere CSI/CPI), Nutanix AHV/Karbon, and bare-metal SUSE. Coordinate with virtualization, SAN/NAS, and network teams for capacity, datastore, and fabric design.
Load Balancing & Ingress – Architect L4/L7 load balancing across cloud (Azure Load Balancer, Application Gateway, Front Door) and on-prem (F5 BIG-IP, NSX ALB, MetalLB, kube-vip). Manage TLS termination, SNI, mTLS, WAF, session affinity, and health probes.
Infrastructure as Code & GitOps – Build reusable IaC with Terraform and Helm. Implement GitOps with Argo CD or Flux for declarative cluster and application delivery.
Observability & SRE – Stand up and operate Prometheus, Grafana, Loki, Alertmanager, and OpenTelemetry. Define SLIs/SLOs, drive incident response, post-mortems, and capacity planning.
Security & Compliance – Enforce Pod Security Standards, RBAC, OPA/Gatekeeper or Kyverno policies, image signing (Cosign), secret management (Key Vault, External Secrets, SealedSecrets), and CIS benchmark hardening.
Scripting proficiency in Python, Bash, PowerShell, and experience in using git, github projects
Additional Responsibilities
Work Experience
6 to 8 years of relevant hands-on DevOps / Platform Engineering experience in enterprise environments
Minimum 6 years operating production Kubernetes at scale
Proven track record of running workloads across at least two of: AKS, Rancher/SUSE, VMware, Nutanix
Preferred Knowledge, Skills and Abilities
Excellent problem solving and troubleshooting skills
Experience working in virtualized environments, preferably VMware and nutanix
Solid understanding of modern networking principles and practices
Participate in an on-call rotation for support of systems outside of normal business hours.
Planning and Co-ordination skills
Good Communication and Analytical skills
Able to comply with the company’s safety and quality policies always.

Gen AI Machine Learning Engineer

 6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.
 Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.).
 Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.
 Hands-on experience of MLOps and LLMOps is desired.
 Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
 Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.
 Experience with Cloud technology, preferably AWS.
 Experience with Voice Conversational AI will be a big plus.
 Ability to contribute both independently and as part of a team.
 Excellent analytical and problem-solving skills.
 Excellent listening, communication, interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

SAP SD Developer

Essential Duties and Responsibilities
Responsible for leading the design and implementation of an SAP SD/ESD and LE solution-delivery of project deliverables including blue prints, functional and technical specifications, system configuration, testing, training and go-live support.

Partnering with key Business and IT stakeholders to outlay the global design of Transportation Management and delivery of the design globally across multiple ERP systems. Spearheading the business needs on Freight order management and freight settlement, shipment costing, BOL etc.

Partnering and collaborating with other Logistics and Finance SAP Solution Architects/Principles to design and deliver the integrated solutions in SAP systems.

Work and provide support on various Customer and 3PL interfaces as required in the Organization.

Work within and participates in the Change Control process.
Additional Responsibilities
Utilize specialized expertise in the area to collaborate with Operations, Supply Chain and the Manufacturing Sites to define detailed User Stories for IT enablement of business needs. This includes interpreting any issues and recommending solutions or best practices.

Partner with Application and Infrastructure to define strategic direction, determine business needs and design & deliver technical viable solutions.

Essential core member of agile sprint team(s) to configure and develop optimal technical solutions / features.

Provide technical delivery of functionality to meet defined business requirements as described in User Stories.

Education
5-8years of related work experience
Bachelor’s degree Computer Science, Information Systems, or other related field or equivalent experience.
Preferred but not required: Agile & Scrum Certification, ITIL, S4 HANA, ESD, TM
Work Experience
Minimum 5 years required
Preferred Knowledge, Skills and Abilities
Excellent SAP skills – system functionality and technical understanding

Must be up to date on latest ERP release.

HANA knowledge preferred

Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.

Ability to work autonomously in a fast-paced & complex environment with a self-motivated work ethic; utilize sound judgment with an ability to manage multiple priorities with a sense of urgency.

Gen AI Tech Lead

 A minimum of 6-7 years of software development experience with proven results in delivering projects end-to-end and successfully going live.
 A minimum of 1 year of experience leading a team and mentoring team members.
 Proficient in solutioning and designing system architecture. The architecture designed is enterprise-level, resilient, and scalable.
 Experienced in designing and implementing frontend and backend APIs of moderate complexity.
 Strong advocate of automated testing – e.g. unit testing, integration testing.
 Proficient in using cloud technologies such as AWS, GCP, Azure, etc..
 Proficient in developing and designing CI/CD pipelines using Bitbucket Pipeline for ease of deployment, with SOPs in place, e.g., unit testing, documentation generation, etc.
 Proficient in serverless technology such as Docker, Kubernetes, or equivalent services in cloud providers.
 Proficient in the use of technology stacks: NextJS, Node.js, React, Typescript, Python, Microservices, MongoDB, DynamoDB. Experience with Go-lang is a plus.
 Proficient in infrastructure as code (IaC) tooling such asTerraform.
 Experience in delivering GenAI projects and applications. Familiar with GenAI concepts such as context, prompt engineering, tokens, completions, vector databases, RAG applications, etc.
 Knowledge of source code repositories and branching models in Git and use of tools such as GitHub, GitLab, Bitbucket etc.
 Working knowledge of Agile and/or Lean methodologies, along with tools such as Confluence, JIRA, etc.
 Experience with domain-driven design (DDD) is a plus.
 Experience with MLOps/AIOps is a plus.

Xamarin Developer

5+ years experience
Knowledge in Xamarin Forms and MAUI.
Experienced in using Xamarin studio and Visual studio for Xamarin mobile app development
Knowledge of C#, MVVM,Oops, ASP.NET MVC, REST based API, C#, Linq, Jquery, SQL Server
Strong understanding of Object oriented principle and design patterns.

Mobile QA Automation - IOS

Mobile QA Automation Engineer — iOS
Job Description
We are looking for a skilled iOS QA Automation Engineer to join our mobile engineering team and ensure the quality, stability, and scalability of our iOS applications.
The ideal candidate has strong experience building and maintaining automated test solutions for Unit Tests, Integration Tests, UI Tests, and End-to-End (E2E) Tests. You should also have a deep understanding of iOS architecture, automation frameworks, CI/CD pipelines, and debugging complex mobile systems.
You will work closely with iOS developers, backend engineers, DevOps, and product teams to improve release quality and automation reliability.
Responsibilities
iOS Test Automation
Design, develop, and maintain iOS automation frameworks.
Implement and maintain:
Unit Tests
Integration Tests
UI Tests
End-to-End (E2E) Tests
Improve automation reliability and reduce flaky tests.
Analyze unstable test behaviors and automation failures.
Architecture & Quality Engineering
Understand iOS application architecture and source code structure.
Evaluate and improve application testability.
Work with:
MVVM
Clean Architecture
Modular architectures
Understand the impact of architecture on automation testing.
iOS Automation Development
Develop automated tests using:
Swift
XCTest
XCUITest
EarlGrey
Execute and maintain automation workflows using:
Xcodebuild
Tuist
Validate application behavior across:
Simulators
Real devices
Different iOS versions
CI/CD & Infrastructure
Integrate automation into CI/CD pipelines.
Maintain mobile testing workflows using:
Bitrise CI
Optimize build and automation execution performance.
Mocking & Backend Validation
Implement mock data strategies and API simulation.
Handle inconsistent backend data and unstable test environments.
Validate GraphQL-driven application flows.
Support offline and poor-network-condition testing.
Collaboration & Debugging
Investigate crashes, flaky tests, and unstable environments.
Define testing approaches when joining large or unstable projects.
Collaborate with developers to identify root causes of issues.
Participate in code reviews and automation architecture discussions.
Required Skills
Core iOS Skills
Strong experience with:
Swift
XCTest
XCUITest
EarlGrey
Xcodebuild
Tuist
iOS Architecture
Strong understanding of:
MVVM
Clean Architecture
Dependency Injection
Scalable iOS architectures
Testing Expertise
Deep understanding of:
Unit Testing
Integration Testing
UI Testing
E2E Testing
Experience debugging asynchronous and flaky test scenarios.
CI/CD & Tools
Experience with:
Bitrise CI
GraphQL
MockingJay or equivalent mocking frameworks
Nice-to-Have
Experience with large-scale iOS applications
Experience with performance testing
Knowledge of accessibility testing
Experience with cloud device farms

Mobile QA Automation - Andriod

Mobile QA Automation Engineer — Android
Job Description
We are looking for a skilled Android QA Automation Engineer to join our mobile engineering team and ensure the quality, reliability, and scalability of our Android applications.
The ideal candidate has strong experience building and maintaining automated test frameworks covering Unit Tests, Integration Tests, UI Tests, and End-to-End (E2E) Tests. You should also have a deep understanding of Android architecture, modularization, CI/CD pipelines, and debugging complex mobile systems.
You will work closely with Android developers, backend engineers, DevOps, and product teams to improve automation coverage, application stability, and release quality.
Responsibilities
Android Test Automation
Design, develop, and maintain Android automation frameworks.
Implement and maintain:
Unit Tests
Integration Tests
UI Tests
End-to-End (E2E) Tests
Improve test reliability and reduce flaky tests.
Analyze automation failures and debug unstable test behaviors.
Architecture & Quality Engineering
Understand Android application architecture and source code structure.
Evaluate and improve application testability.
Work with:
MVVM
Clean Architecture
Modular Architecture
Understand advantages and limitations of each architecture from a testing perspective.
Android Automation Development
Develop automated tests using:
Kotlin
Espresso
UI Automator
Robolectric
Work with multi-module Android projects.
Configure and maintain Gradle-based testing environments.
Validate application behavior across:
Emulators
Real devices
Different Android OS versions
CI/CD & Infrastructure
Integrate automation into CI/CD pipelines.
Maintain test execution pipelines using:
Bitrise CI
Optimize build and test execution performance.
Mocking & Backend Validation
Create mock data and backend simulation strategies.
Handle inconsistent backend data and unstable environments.
Validate GraphQL API-driven application flows.
Support offline and unstable-network testing scenarios.
Collaboration & Debugging
Investigate crashes, flaky tests, and unstable environments.
Define testing strategies when onboarding into legacy or unstable projects.
Collaborate with developers to identify root causes of failures.
Participate in code reviews and testing architecture discussions.
Required Skills
Core Android Skills
Strong experience with:
Kotlin
Gradle
Espresso
UI Automator
Robolectric
Android Architecture
Strong understanding of:
MVVM
Clean Architecture
Modular Architecture
Dependency Injection
Testing Expertise
Deep understanding of:
Unit Testing
Integration Testing
UI Testing
E2E Testing
Experience debugging flaky tests and asynchronous behaviors.
CI/CD & Tools
Experience with:
Bitrise CI
GraphQL
MockingJay or equivalent mocking frameworks
Nice-to-Have
Experience with large-scale Android applications
Experience with performance testing
Knowledge of accessibility testing
Experience with cloud device farms

SAP ABAP Developer

This role must have hands-on experience in ABAP OO programming, Smartforms, SAPSCRIPT, Dialog Programming / Module-Pool Programming, Workflow, ALV Reports, Interfaces, Enhancements and ALE/IDOC. Experience in Agile development methodology for projects and enhancements and SAP PI experience are preferred.

Essential Duties and Responsibilities
• Possesses strong understanding of overall vision, business needs and the solution architecture for SAP applications. Uses this in-depth knowledge to solve reasonably complex problems.
• Utilizes knowledge of best practices and acts as a SME to provide the technical solution design.
• Works closely with the process team to understand the business requirements, review the functional specs, develop technical specs, build the application, unit test the application and support the process team during integration testing
• Designs and builds applications with best practices in mind.
• Investigates and corrects production issues.
• May be involved with supports and training other team members.
• Other duties as assigned.

Additional Responsibilities
Bridging the gap between business necessities and technical considerations, negotiating solutions, and encouraging creativity when feasible
Contributing to the ongoing growth and delivery of technical development, inclusive of projects, while ensuring constant protection and security of business data
Demonstrating keen attention to detail and a commitment to documenting processes for future reference and benefit
Collaborate with other sites where appropriate to ensure best practice is used and solutions are standardized and transferrable
Education
• Bachelor’s degree or equivalent experience

Work Experience
• 5+ years of relevant experience in the areas specified under Essential Duties and Responsibilities.

Preferred Knowledge, Skills and Abilities
• Experience gathering requirements and providing technical solution design.
• ABAP OO skills is a must.
• Extensive knowledge of ABAP development workbench, Dictionary, Workflows, SAPForms, BAPI's, Enhancement Framework, RFC’s, BADI’s, IDOC, ALE and ABAP OBJECTS, IDoc Queue handling, ABAP Proxy Framework, Change document framework, Conversions and Data load methods, SPAU, SPDD and post upgrade activities, Open-SQL performance tuning
• Must have strong experience working with ALE / IDoc configuration, enhancements, user exits, error handling
• Working knowledge of SAP PI / PO integration layer
• Must have excellent analytical, logical problem solving and technological skills.
• Ability to work in a global and virtual environment and to effectively prioritize and execute tasks in a high-pressure environment.
• Ability to work autonomously in a fast-paced & complex environment with a self-motivated work ethic; utilize sound judgment with an ability to manage multiple priorities with a sense of urgency.
• Willingness to global travel
• Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
• Able to comply with the company’s safety and quality policies at all times.

Preferred Qualifications
• HANA experience
• Sound knowledge of SAP business processes
• Experience working with ABAP 7.4 > versions
• GTS experience
• WebDynpro framework with FPM and UIBBs
• Experience / knowledge of Core Interface with debugging and enhancement of CIF interface with SAP APO

Statistical Programmer

Key Responsibilities
Develop, validate, and maintain ADaM datasets, TLFs, and other analytical outputs for clinical trials.
Support Oncology studies by ensuring accuracy, consistency, and regulatory compliance in all programming deliverables.
Contribute to ISS/ISE activities, including dataset integration, analysis, and documentation.
Work closely with statisticians, data managers, and clinical teams to ensure timely and quality delivery.
Assist in regulatory submissions and RTQs, providing clear, traceable, and compliant programming outputs.
Collaborate in an agile environment, participating in sprint meetings, planning, and continuous improvement discussions.
Work with internal tools and platforms, including GSK-specific tools, following established standards and governance.
Troubleshoot data/programming issues and propose process enhancements.
Ensure adherence to CDISC standards, good programming practices, and audit-ready documentation.
Required Skills & Qualifications
Proficiency in R programming
(Intermediate candidates with strong learning intent and ability to upskill quickly will also be considered.)
Solid experience in SAS programming, especially in a clinical/biostatistics environment.
Hands-on expertise in ADaM dataset development and TLF programming.
Good understanding of CDISC standards and clinical trial data flow.
Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams.
Preferred Qualifications
Advanced or Expert-level R Programming skills.
Experience working on Oncology therapeutic area studies.
Exposure to ISS/ISE, submission workflows, and regulatory interactions (e.g., RTQs).
Practical understanding of agile ways of working (Scrum/Kanban).
Prior experience using or supporting GSK tools and platforms.

SAP EWM Developer

Job Summary
The Senior Assoc, Functional Design and Architect is accountable for collaborating with the Digital and Transformation team in various locations to define, deliver and support IT enabled business solutions for respective SAP module. This role will also help determine business needs and design and deliver technical solutions for these areas. The role with help will handle the delivery, maintenance, system configuration and enhancement plus production support in alignment with West Digital and Transformation and company policies and procedures.

Additional Responsibilities
Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Minimum 5 years 5-8 years of relevant experience required

Preferred Knowledge, Skills and Abilities
SAP EWM with intigrated with PP & QM
SAP EWM with intigraded with MM & SD

SAP BODS Developer

Essential Duties and Responsibilities
Possesses a strong understanding of the overall vision, business needs, and solution architecture for SAP BODS applications. Uses this in-depth knowledge to solve reasonably complex problems.
Utilizes knowledge of best practices and acts as a Subject Matter Expert (SME) to provide technical solution designs.
Works closely with the process team to understand business requirements, review functional specifications, develop technical specifications, build applications, unit test the applications, and support the process team during integration testing.
Designs and builds applications with best practices in mind.
Investigates and corrects production issues.
May be involved in supporting and training other team members.
Other duties as assigned.

Education
Bachelor’s degree or equivalent experience

Work Experience
5+ years of relevant experience in the areas specified under Essential Duties and Responsibilities
Preferred Knowledge, Skills and Abilities
Experience in gathering requirements and providing technical solution design.
Strong experience in SAP BODS design and development.
Development experience with advanced BODS functionalities.
Strong background in data migration with hands-on experience using SAP BODS.
Ability to quickly understand existing functionality and rules, and to build BODS queries and jobs.
Strong experience with databases and SQL.
Ability to build highly technical BODS jobs using multiple data sources and complex business rules.
High-level understanding of SAP modules.
In-depth knowledge and understanding of SAP Master Data relevant tables and joins.
High-level understanding of SAP transactional data and underlying tables and joins.
Experience with data profiling, cleansing, de-duplication, and summary reports.
Strong experience in configuring SLT.
Strong experience with ETL transformation services, via the SAP Landscape Transformation server (SLT) or SAP Data Services.
Excellent analytical, logical problem-solving, and technological skills.
Ability to work in a global and virtual environment and to effectively prioritize and execute tasks in a high-pressure environment.
Ability to work autonomously in a fast-paced and complex environment with a self-motivated work ethic; utilize sound judgment with the ability to manage multiple priorities with a sense of urgency.
Willingness to travel globally.
Awareness of all relevant SOPs as per company policy related to the position covered by this job description.
Ability to comply with the company's safety and quality policies at all times.

SAP PP Developer

Essential Duties and Responsibilities
Possesses solid understanding of overall vision and business needs and utilize specialized expertise to collaborate with Quality and Operations to define detailed User Stories for D&T enablement of business needs. This includes interpreting any issues and recommending solutions or best practices.
Utilizes knowledge of best practices to help determine business needs and design & deliver technical solutions for QA, in partner with Application and Infrastructure.
Essential core member of agile sprint team(s) to configure and develop optimal technical solutions / features.
Provide technical delivery of functionality to meet defined business requirements as described in User Stories.
Provide system support and maintenance in alignment with standards and process set within the ERP Services Delivery model, West policies and procedures as well as Regulatory requirements including but not limited to Sarbanes-Oxley and FDA GMP.
Create and maintain system lifecycle documents in accordance with West policies and procedures, including creation and maintenance of SOPs, SOIs and Job Aids.
Work within and participates in the Change Control process.
Conform with and abide by all regulations, policies, work procedures, instruction, and all safety rules.
Other duties as assigned


Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Bachelor’s degree or equivalent experience in Computer Science or Information Systems
5-8 years of related work experience, i.e. 3 or more full implementations of SAP PP solutions
Preferred but not required: Agile & Scrum Certification, ITIL


Preferred Knowledge, Skills and Abilities
Solid SAP skills – system functionality and technical understanding of PP and related areas (QM, MM, PM)
Good knowledge on Shop floor and Manufacturing Interfaces (MES).
Must be up to date on latest ERP release.
Strong HANA knowledge preferred
Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.
Proficient English language skills
Willingness to global travel
Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Support and contribute in Lean Sigma programs and activities towards delivery of the set target
Able to comply with the company’s safety and quality policy at all times

SAP PM Developer

Essential Duties and Responsibilities
• Collaborate with global Digital & Transformation teams and business stakeholders to understand the overall vision, maintenance strategies, and operational needs, and translate them into detailed SAP PM business requirements.
• Analyze process issues, interpret functional gaps, and recommend best practices or SAP‑standard solutions to optimize maintenance operations.
• Utilize industry and SAP best practices to define the strategic direction for SAP PM and design scalable, compliant, and efficient technical solutions.
• Configure, develop, and deliver SAP PM functionality to meet defined business requirements, including preventive maintenance, corrective maintenance, calibration, equipment validation, equipment onboarding & disposal and relevant master data objects.
• Serve as an essential member of Agile sprint teams, participating in backlog refinement, user story creation, functional requirement creation, test case and test steps creation, configuration, testing, and delivery of optimal features.
• Deliver functionality based on user stories, ensuring that all acceptance criteria and business expectations are met.
• Support integration of SAP PM with adjacent modules (MM, QM, FI/CO, MFG, SD, S2P) and external systems when applicable.
• Provide day‑to‑day system support, troubleshooting, and issue resolution in alignment with the ERP Services Delivery Model and West policies.
• Perform system maintenance, enhancements, and configuration updates in compliance with regulatory requirements, including Sarbanes‑Oxley (SOX) and FDA GMP guidelines.
• Create, update, and maintain system lifecycle documentation such as SOPs, SOIs, Job Aids, configuration documents, and validation artifacts as per corporate policies.
• Participate in and adhere to the Change Control process, ensuring all changes follow proper impact assessment, approvals, and release practices.
• Ensure solutions and processes comply with corporate regulations, standard operating procedures, work instructions, and applicable safety rules.
• Support testing cycles (unit testing, integration testing, UAT) and coordinate with business users to ensure successful deployment and hypercare.
• Maintain data quality and master data standards for equipment, functional locations, task lists, BOMs, and maintenance plans.
• Provide user training, knowledge transfer, and documentation to maintenance planners, technicians, and other end users.
• Collaborate with technical teams (ABAP, Integration, Basis) to develop RICEFW objects (reports, interfaces, enhancements, forms, workflows).
• Promote continuous improvement initiatives and identify opportunities to streamline PM processes using standard SAP capabilities.
• Exhibit reliable, punctual, and predictable attendance and professionalism.
• Perform additional duties as assigned.


Education
Any B Tech Degree (Electrical / Mechanical / Chemical / Computer Science / Electronics / Information systems etc.)

Work Experience
• Minimum 5-8 years of relevant SAP Plant Maintenance / SAP EAM consulting experience from top tier 5 global / Indian consulting firms.
• SAP EAM / Plant Maintenance S/4 HANA System Configuration, Implementation and Roll out experience.
• Good experience in functional design for developing interfaces with SAP & third-party UI systems.
• Working knowledge of DevOps, Management Requirements and JIRA systems.
• Experience in Agile methodology.
• Good oral communication and presentation skills is a must.
• Experience in Pharma Industry is an added advantage.
• Prior industrial experience working as manufacturing / maintenance team member is an added advantage.
• Latest S/4 HANA certification is an added advantage.