Gurugram Haryana Embedded engineer Jobs – 73 Open Jobs Today

Systems Architect - Cloud AIOps
EPAM Systems, Inc. —Gurugram, Haryana
- Azure
- English
- Master's degree
- Health insurance
- Paid time off
5d
Apprentice
AtkinsRéalis —Gurugram, Haryana
- Full-time
- Doctoral degree
- English
- Master's degree
- Health insurance
SAP Migration Architect
Metyis AG —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
Quick apply
4d
AI Acceleration Architect
Metyis AG —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- ERP systems
Quick apply
4d
Senior Cloud Security Analyst
McCain Foods Limited —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
2d
Senior Connectivity & Network Engineer
Capgemini Sogeti —Gurugram, Haryana
2d
Consultant - Data Scientist
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- English
Quick apply
Data Scientist 4A
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Computer Science
- English
- Master's degree
Quick apply
4d
Senior Manager – Data Scientist
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- English
Quick apply

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Embedded IoT & Robotics Engineer
Constems-AI —Noida, Uttar Pradesh
Constems-AI is hiring an *embedded IoT & robotics engineer* to work on autonomous drone and IoT-based solutions. Location:* Sector 59, Noida (Onsite).
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Systems Architect - Cloud AIOps

EPAM Systems, Inc. -
Gurugram, Haryana

Apply Now

Job details

5 days ago

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

embedded engineer jobs in gurugram haryana

Systems Architect - Cloud AIOps

Apprentice

SAP Migration Architect

AI Acceleration Architect

Senior Cloud Security Analyst

Senior Connectivity & Network Engineer

Consultant - Data Scientist

Data Scientist 4A

Senior Manager – Data Scientist

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