Cloud Infrastructure Engineer – xPaaS Ops Engineer

**About US:** We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

DS Technologies Inc is looking for **Cloud Infrastructure Engineer – xPaaS Ops Engineer** rolefor one of our premier clients.

**Job Title: Cloud Infrastructure Engineer – xPaaS Ops Engineer**

**Location:** **Phoenix, AZ (Onsite)**

**Position Type:** **Contract**

**Only W2**

**Job Description:**

We are seeking a highly skilled **Cloud Infrastructure Engineer – xPaaS Ops Engineer** with strong experience in enterprise production environments, cloud infrastructure, automation, and platform operations. The ideal candidate will have hands-on experience managing on-prem systems, Google Cloud services, Kubernetes platforms, and Infrastructure-as-Code frameworks while supporting large-scale migrations and high-availability systems.

This engineer will work across infrastructure, automation, observability, Linux systems, and DevOps tooling to ensure smooth deployment, reliability, and performance of mission-critical applications.

**Key Responsibilities:**

• Support and maintain **on-prem production-grade environments** with technologies such as **Redis Enterprise, Kafka, Elasticsearch, Astronomer**, etc.
• Build, maintain, and optimize infrastructure using **Infrastructure as Code (IaC)** tools like **Terraform**.
• Manage and support **Google Cloud Platform (GCP)** foundations and managed services including:

+ Private Service Connect (PSC)

+ Interconnect

+ Pub/Sub

+ Cloud Run

+ Memory Store

+ GCP Networking & security

• Deploy and operate applications in **Kubernetes environments** (OpenShift or GKE).
• Develop infrastructure automation using **Ansible, Shell scripts, Python, or Java**.
• Manage **cluster configurations, upgrades, and migrations** on **Red Hat Enterprise Linux 8** running on VMs.
• Lead and support **infrastructure migration projects**:

+ On-prem to On-prem

+ On-prem to Cloud

+ Hybrid cloud migrations

• Perform **Linux performance monitoring, troubleshooting, security setup, tuning, and patching**.
• Improve operational efficiency through **automation and optimization scripting**.
• Troubleshoot complex cross-platform issues across infrastructure and application layers.
• Utilize industry-standard **monitoring tools** for observability and incident response.
• Follow **ITIL processes** including change management, incident management, RFC, problem management, and RCA.
• Continuously learn & adopt new technologies quickly as required for ongoing projects.

**Required Skills:**

• **3+ years** supporting enterprise on-prem technologies such as:

+ Redis Enterprise

+ Kafka

+ Elasticsearch

+ Astronomer

• **2+ years** experience with **Terraform** or similar IaC tools.
• **2+ years** experience managing production environments in **Google Cloud (GCP)**.
• **2+ years** deployment experience in **Kubernetes (OpenShift or GKE)**.
• Strong scripting & automation experience with:

+ **Ansible**

+ **Shell scripting**

+ **Python/Java**

• Strong knowledge of **Linux (RHEL 8)** cluster operations, configurations, upgrades, migrations.
• Experience with **infrastructure migrations** (on-prem cloud, hybrid).
• Deep experience with **Linux performance monitoring**, security tuning, and system hardening.
• Knowledge of standard monitoring tools (e.g., Prometheus, Grafana, Datadog, Splunk, etc.).
• Understanding of **ITIL** methodologies and processes.

**Soft Skills**

• Strong problem-solving and analytical skills.
• Ability to troubleshoot at both infrastructure and application levels.
• Quick learner, adaptable to emerging technologies.
• Strong communication and collaboration with cross-functional teams.