Gurugram Haryana Field sales engineer. Jobs – 108 Open Jobs Today

Cloud/DevOps Engineering Lead (Fashion)
Metyis AG —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
7h
Product Solutions Engineer, Gtech
Google —Gurugram, Haryana
- Full-time
- Data analysis skills
- System design
- Java
4h
Executive -NE Sales
Otis —Gurugram, Haryana
- Full-time
Sales Coordinator- EPC company experience required
Paltech Cooling Towers & Equipments Ltd —Gurugram, Haryana
- ₹5,00,000 - ₹8,00,000 a year
- Full-time
- Sales
- ERP systems
- In-person
Quick apply
1d
AI Customer Engineer, Conglomerates, Google Cloud
Google —Gurugram, Haryana
- Full-time
- Java
- SQL
- Presentation skills
4h
Senior Technical Consultant - Data and AI
AHEAD —Gurugram, Haryana
- Full-time
- Remote
- Azure
- Computer Science
- System design
- Health insurance
- Paid time off
Research Analyst - Refining
Wood Mackenzie India Private Limited —Gurugram, Haryana
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- English
Quick apply
8d

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Cloud/DevOps Engineering Lead (Fashion)

Metyis AG
Gurugram, Haryana

Quick apply

Job details

Full-time
7 hours ago

Qualifications

BCS
CI/CD
Power BI
Azure
Law
Computer Science
Kubernetes
Ansible
Software deployment
SAP
DevOps
Git
Information Systems
Windows
Master's degree
RBAC
Firewall
Docker
Cloud security
Bachelor's degree
Release management
Terraform
Continuous integration
Computer networking
DNS
GitHub
APIs
Linux
AI
Jenkins
GitLab
Communication skills
Identity & access management
VPN

Full job description

We are looking for a Cloud/DevOps Engineering Lead to join our Data and Analytics team in Gurgaon.

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer

Work on a large-scale AI-assisted SAP migration and data modernization program.
Become the go-to person for cloud, DevOps, hybrid infrastructure, deployment automation, monitoring, and operational readiness.
Lead the setup of secure cloud and on-premise integration patterns for SAP migration, AI factory execution, data platform delivery, and BI consumption.
Work closely with SAP, AI, Data Engineering, BI, Security, Governance, and Business teams to enable reliable end-to-end delivery.
Contribute to the implementation of secure environments, CI/CD pipelines, monitoring, cost control, resilience, and production support processes.
Become part of a fast-growing international and diverse team.

What you will do

Lead the CloudOps and DevOps workstream for an AI-assisted SAP migration and modern data platform program.
Design and implement secure cloud, hybrid, and on-premise integration patterns required for SAP migration, AI automation, data engineering, BI, and governance use cases.
Define the DevOps roadmap, operational model, deployment standards, monitoring approach, and platform readiness plan.
Lead the setup of CI/CD pipelines, release processes, branching strategies, environment promotion, automated testing integration, and deployment controls.
Support implementation of infrastructure-as-code patterns for cloud services, networking, security, compute, storage, monitoring, and platform components.
Enable secure connectivity between cloud platforms and on-premise SAP systems, data sources, file shares, schedulers, APIs, and enterprise infrastructure.
Work with SAP teams to support connectivity, orchestration, batch scheduling, data extraction, delta loads, secure file transfer, and operational dependencies.
Work with AI teams to provide secure execution environments for AI agents, automation services, APIs, backend components, model integrations, logging, monitoring, and cost tracking.
Work with Data Engineering teams to support deployment of data pipelines, lakehouse components, data quality frameworks, metadata workflows, and reconciliation services.
Work with BI teams to support Power BI / Fabric workspace setup, gateway configuration, deployment pipelines, access management, and report release processes.
Define and implement monitoring, alerting, logging, incident management, service health checks, operational dashboards, and runbooks.
Support hybrid operations across cloud and on-premise environments, including network dependencies, firewall rules, gateways, private endpoints, identity, certificates, and secure access patterns.
Implement access controls, secrets management, identity integration, service principals, managed identities, RBAC, and least-privilege operating models.
Support security reviews, architecture reviews, compliance checks, audit evidence collection, and operational risk mitigation.
Define resilience, backup, disaster recovery, high availability, rollback, and cutover support patterns.
Lead platform readiness activities for pilot delivery, migration waves, UAT, production deployment, hypercare, and handover to operations.
Coordinate with client infrastructure, security, SAP Basis, network, and operations teams to resolve blockers and dependencies.
Support the operational usage of SAP tooling, AI tooling, and migration automation tooling where required.
Coach DevOps engineers and delivery teams on engineering standards, automation, monitoring, release discipline, and operational excellence.

What you’ll bring

8+ years of experience in CloudOps, DevOps, Platform Engineering, Infrastructure Engineering, SRE, or Enterprise Operations.
Strong experience leading DevOps or platform engineering workstreams within complex enterprise transformation programs.
Hands-on experience with Microsoft Azure (networking, compute, storage, identity, security, monitoring, and automation) and hybrid cloud/on-premises environments.
Solid infrastructure knowledge, including enterprise networking, Windows/Linux servers, firewalls, VPN, DNS, certificates, file transfers, and operational support.
Experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, GitLab CI) and Infrastructure as Code (Terraform, Bicep, ARM, Ansible).
Experience with monitoring and observability tools such as Azure Monitor, Log Analytics, Datadog, Grafana, or Prometheus.
Good understanding of cloud security and operations, including IAM/RBAC, Key Vault, private networking, logging, alerting, and vulnerability management.
Experience supporting SAP-connected environments is highly desirable.
Experience with Azure AI, LLM-based applications, AI workloads, or AI-enabled automation is a strong plus.
Experience with Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse, Power BI, or similar data platforms is a plus.
Experience with containers and orchestration technologies such as Docker, Kubernetes, AKS, or Azure Container Apps is a plus.
Strong knowledge of release management, deployment governance, incident management, and production support.
Excellent communication, problem-solving, and stakeholder management skills, with the ability to collaborate across CloudOps, SAP, AI, Data Engineering, Security, and Infrastructure teams.
Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related technical field (Master's is a plus).

Quick apply

Refine Your Search

field sales engineer. jobs in gurugram haryana

Cloud/DevOps Engineering Lead (Fashion)

Product Solutions Engineer, Gtech

Executive -NE Sales

Sales Coordinator- EPC company experience required

AI Customer Engineer, Conglomerates, Google Cloud

Senior Technical Consultant - Data and AI

Research Analyst - Refining

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