LTIMindtree · 9 hours ago
Azure IoT Edge Architect
LTIMindtree is a company focused on innovative technology solutions, and they are seeking a Senior Edge Computing & IIoT Architect. This role involves designing and operating Azure Arc-enabled Kubernetes clusters, integrating IoT and edge solutions with enterprise systems, and developing AI/ML models for edge analytics.
ConsultingEnterpriseInformation TechnologySoftware
Responsibilities
Experience designing and operating Azure Arc–enabled Kubernetes clusters in CNCF‑compliant environments
Strong hands‑on experience with Linux (Ubuntu) for edge platforms
Experience with containerization and virtualization for edge deployments (K3s, Docker, lightweight VMs)
Proven ability to integrate IoT and edge solutions with enterprise systems and hybrid cloud architectures
Familiarity with hybrid orchestration models using Azure Arc
Proficiency in Python and experience with one or more of C/C++, Java, Go, React, or Rust
Strong scripting and automation skills using Ansible, Azure CLI, and Linux shell
Experience building automation for provisioning, deployment, and lifecycle management
Experience developing and deploying AI/ML models for edge analytics
Hands‑on experience with anomaly detection and predictive maintenance use cases
Knowledge of edge inferencing frameworks and model optimization for constrained environments
Exposure to computer vision or industrial analytics at the edge
Experience with Azure IoT (Azure IoT Hub / AIO) including device provisioning, telemetry ingestion, and cloud‑to‑device messaging
Familiarity with industrial communication protocols: MQTT, OPC UA, CoAP, DDS
Understanding of industrial IoT (IIoT) architectures and vendor ecosystems
Strong understanding of Zero Trust Architecture, RBAC, secure boot, and device security
Experience with API security, vulnerability management, and audit logging
Knowledge of and experience working with industry standards: NIST SP 800‑82, IEC 62443, NERC CIP
Experience supporting compliance audits, risk assessments, and regulatory adherence initiatives
Experience operating across Level 1–3 support models, including: Incident resolution, Bug fixes, Enhancement requests
Familiarity with IT, data, and process governance models
Experience developing operability models, incident workflows, and centralized configuration repositories
Hands‑on experience with sensor and endpoint configuration, site mapping, and system rollout
Experience aligning deployments with operational and support units
Ability to support large‑scale distributed edge environments
Strong experience with CI/CD pipelines, especially for edge and hybrid environments
Experience using DevTest and DevOps tools for: Automated deployment, Rollback, Version management
Understanding of environment promotion strategies for edge workloads
Experience with observability and monitoring tools such as: Azure Monitor, Grafana, Prometheus
Designing and implementing automated incident response
Experience with self‑healing systems and reliability automation
Strong focus on operational visibility and platform stability
Qualification
Required
Experience designing and operating Azure Arc–enabled Kubernetes clusters in CNCF‑compliant environments
Strong hands‑on experience with Linux (Ubuntu) for edge platforms
Experience with containerization and virtualization for edge deployments (K3s, Docker, lightweight VMs)
Proven ability to integrate IoT and edge solutions with enterprise systems and hybrid cloud architectures
Familiarity with hybrid orchestration models using Azure Arc
Proficiency in Python and experience with one or more of C/C++, Java, Go, React, or Rust
Strong scripting and automation skills using Ansible, Azure CLI, and Linux shell
Experience building automation for provisioning, deployment, and lifecycle management
Experience developing and deploying AI/ML models for edge analytics
Hands‑on experience with anomaly detection and predictive maintenance use cases
Knowledge of edge inferencing frameworks and model optimization for constrained environments
Exposure to computer vision or industrial analytics at the edge
Experience with Azure IoT (Azure IoT Hub / AIO) including device provisioning, telemetry ingestion, and cloud‑to‑device messaging
Familiarity with industrial communication protocols: MQTT, OPC UA, CoAP, DDS
Understanding of industrial IoT (IIoT) architectures and vendor ecosystems
Strong understanding of Zero Trust Architecture, RBAC, secure boot, and device security
Experience with API security, vulnerability management, and audit logging
Knowledge of and experience working with industry standards: NIST SP 800‑82, IEC 62443, NERC CIP
Experience supporting compliance audits, risk assessments, and regulatory adherence initiatives
Experience operating across Level 1–3 support models, including: Incident resolution, Bug fixes, Enhancement requests
Familiarity with IT, data, and process governance models
Experience developing operability models, incident workflows, and centralized configuration repositories
Hands‑on experience with sensor and endpoint configuration, site mapping, and system rollout
Experience aligning deployments with operational and support units
Ability to support large‑scale distributed edge environments
Strong experience with CI/CD pipelines, especially for edge and hybrid environments
Experience using DevTest and DevOps tools for: Automated deployment, Rollback, Version management
Understanding of environment promotion strategies for edge workloads
Experience with observability and monitoring tools such as: Azure Monitor, Grafana, Prometheus
Designing and implementing automated incident response
Experience with self‑healing systems and reliability automation
Strong focus on operational visibility and platform stability
Preferred
AZ‑900
AI‑900
AZ‑104
CKA (Certified Kubernetes Administrator)
CKS (Certified Kubernetes Security Specialist)
Benefits
Comprehensive Medical Plan Covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave
Company
LTIMindtree
LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors.
H1B Sponsorship
LTIMindtree has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (2651)
2024 (2855)
2023 (2267)
Funding
Current Stage
Late StageRecent News
2026-01-22
Business Wire
2026-01-22
2026-01-22
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