INFOPARK

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

Data Analyst- Power BI

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.