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DevOps Engineer

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Onsite

DevOps Engineer

Ace Workforce Technologies, Inc.

DevOps Engineer

Skills

DockerPythonData VisualizationPostgreSQLMySQLAmazon EC2GitLabDatadogGrafanaAIAWSLinuxKubernetesJiraMQTTServiceNowTerraformAzure

8 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


HIRING | DEVOPS ENGINEER

Profile: DevOps Engineer – AWS / Kubernetes / Edge IoT

Location: Noida

Work Mode: Not Specified

Job Type: FTE / Contract (6 Months)

Experience: 5–7 Years

Shift: Rotational Shifts | 24×5 Operational Support

Mandatory Skills:

* AWS: EC2, EKS, S3, RDS & CloudWatch

* Kubernetes & Container Workloads

* Linux Administration

* CI/CD Pipelines – GitLab

* Terraform

* Bash / Shell Scripting & Python

* Docker & Cloud Solution Architecture

* MQTT Protocol & IoT Platforms

* Grafana & Industrial AI / MLOps

* MySQL / PostgreSQL

* Edge IoT: AWS Edge, Azure Edge & ThingWorx Edge MicroServer

* Edge Protocols: OPC UA & MQTT

Good to Have:

* ServiceNow & JIRA

* EMQX / HiveMQ Message Brokers

* Datadog & Monitoring Tools

* Azure AD / Access Management

* Edge Computing & Industrial Data Visualization

Key Responsibilities:

* Monitor AWS infrastructure, applications and system health dashboards.

* Manage incidents, service tickets and infrastructure troubleshooting.

* Support Kubernetes workloads, Linux systems and CI/CD pipelines.

* Assist with deployments, upgrades, backups and recovery activities.

* Investigate issues, document Root Cause Analysis (RCA) and update SOPs.

* Monitor infrastructure performance and ensure operational stability.

* Identify automation opportunities and continuously improve DevOps processes.

* Provide rotational operational support and occasional critical deployment support.

Ideal Candidate:

* Strong hands-on experience with AWS, Linux, Kubernetes and DevOps operations.

* Working knowledge of GitLab CI/CD, Terraform and scripting.

* Understanding of MQTT, IoT platforms and edge computing.

* Willingness to learn advanced MQTT usage and additional cloud/DevOps tools.

Pay: ₹800,000.00 - ₹1,400,000.00 per year

Benefits:

  • Paid time off

Work Location: In person

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