Gurgaon Kty. Gurugram Haryana Systems architect cloud aiops Jobs – 18 Open Jobs Today

Systems Architect - Cloud AIOps
EPAM Systems, Inc. —Gurugram, Haryana
- Azure
- English
- Master's degree
- Health insurance
- Paid time off
DevOps Architect
Techblocks —Gurugram, Haryana
- Azure
- DevOps
- Master's degree
Quick apply
DevOps Architect
Accenture —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- Windows
Custom Software Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- AWS
14d
AMS Solution Architecture Specialist
Accenture —Gurugram, Haryana
- Full-time
- Azure
- PMP
- Engineering
Project Leader/ Manager- Solution Architect(PEG)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
IMS Solution Architecture Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- PMP
- Engineering
IMS Solution Architecture Associate Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- PMP
- Engineering
Network Performance Consultant
Ericsson —Gurugram, Haryana
- Machine learning
- Travel
- Scripting
Senior Technical Consultant, Observability
AHEAD —Gurugram, Haryana
- Full-time
- DevOps
- Java
- JavaScript
- Health insurance
- Paid time off
RIS Automation Solution Architect Senior Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- PMP
- Engineering
Sr. DevSecOps Engineer
Maruti Suzuki India Ltd —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- AWS
Lead Java Engineer - AI Native
EPAM Systems, Inc. —Gurugram, Haryana
- Azure
- English
- Java
- Health insurance
- Paid time off

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Solution Architect
RHIA AI —Gurugram, Haryana
\* Hands-on experience with specific technologies in our stack (please refer to our tech blog or job post for current details).
₹30,00,000 - ₹37,00,000 a year
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DevOps Architect
Techblocks —Gurugram, Haryana
Evaluate emerging AI technologies and recommend solutions that align with business and engineering objectives. Experience with AWS or Azure cloud platforms.
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Systems Architect - Cloud AIOps

EPAM Systems, Inc. -
Gurugram, Haryana

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

CI/CD
Cloud infrastructure
Azure
Cloud architecture
Law
Kubernetes
Ansible
Git
English
Master's degree
AWS
Terraform
Continuous integration
New Relic
GitHub
AI
Jenkins
GitLab
Communication skills
Python
PowerShell
Identity & access management

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking an experienced Systems Architect - Cloud AIOps to design and evolve next-generation cloud platforms where AI-driven intelligence is embedded as a foundational design principle. In this role, you will shape AI-enabled platform engineering strategies, lead AIOps architecture initiatives, and serve as a senior technical authority guiding enterprise modernization programs across cloud infrastructure and cloud-native environments.

Responsibilities

Architect and evolve cloud platforms (AWS or Azure) where AI-driven intelligence is a foundational design principle, not an afterthought
Define and drive AI-enabled platform engineering strategy, integrating observability, telemetry pipelines, intelligent alerting, predictive insights, and automation
Lead the design of AIOps architectures that combine monitoring data, logs, metrics, traces, and operational knowledge to support proactive operations
Embed SRE principles (SLIs, SLOs, error budgets) into platform design and enable AI-assisted reliability management
Serve as a senior technical authority in customer-facing engagements, architecture workshops, and RFP/RFI responses, articulating AI-driven platform value
For Cloud Infrastructure-led engagements: architect AI-ready landing zones, networking, IAM, hybrid connectivity, DR, and cost governance
For Cloud Native-led engagements: architect Kubernetes platforms, modernization initiatives, and cloud-native runtime environments designed for intelligent operations
Design and integrate AI-assisted operational knowledge systems, including RAG-based architectures, to accelerate root cause analysis and decision support
Collaborate with data and ML teams to consume AI/ML capabilities for operations (anomaly detection, automated RCA, predictive capacity insights)
Provide architectural guidance on LLM, vector stores, and RAG pipelines as platform components for operational and reliability use cases
Mentor architects and senior engineers, establishing AI-aware platform engineering standards across the organization

Requirements

13-20 years of experience in cloud platform architecture and engineering
For the Cloud Infrastructure path: expertise in enterprise landing zones, VPC/VNet design, and security & IAM, along with hybrid/multi-cloud connectivity
For the Cloud Native path: proficiency in Kubernetes platforms (EKS/AKS), microservices modernization, and service mesh (Istio/Linkerd), including GitOps and container security
Background in Infrastructure as Code using Terraform, Ansible, and CloudFormation or ARM/Bicep
Skills in CI/CD and platform automation with Jenkins, GitHub Actions, and GitLab CI
Competency in automation and integration scripting with Python, Shell, and PowerShell
Familiarity with observability stacks such as Prometheus, Grafana, and ELK/EFK, as well as OpenTelemetry, Datadog, AppDynamics, and New Relic
Strong SRE foundations covering SLIs/SLOs, error budgets, incident automation, and postmortems
Expertise in AIOps capabilities, including event correlation across telemetry sources, anomaly detection on metrics/logs/traces, automated remediation with intelligent runbooks, and predictive alerting and capacity insights
Understanding of RAG architectures for operational knowledge retrieval and AI-assisted decisioning
Proven experience leading platform-led modernization programs and influencing platform roadmaps at enterprise and portfolio levels
Capability to assess legacy and cloud environments and define AI-enabled target platform architectures, combining platform engineering, AI capabilities, and operational excellence
Strong English communication skills (B2 level or higher)

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

Refine Your Search

systems architect cloud aiops jobs in gurgaon kty. gurugram haryana

Systems Architect - Cloud AIOps

DevOps Architect

DevOps Architect

Custom Software Engineer

AMS Solution Architecture Specialist

Project Leader/ Manager- Solution Architect(PEG)

IMS Solution Architecture Manager

IMS Solution Architecture Associate Manager

Network Performance Consultant

Senior Technical Consultant, Observability

RIS Automation Solution Architect Senior Manager

Sr. DevSecOps Engineer

Lead Java Engineer - AI Native

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