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Sapsol Technologies Inc logo

Cloud Native Application Developer & Kubernetes Administrator

Posted 2 months ago

RemoteUnited States

Job Description:

We are seeking a skilled Kubernetes Administrator and Application Developer to join our team on a contract basis. The ideal

candidate will have hands-on experience building cloud-native Kubernetes applications and administration of Kubernetes clusters, particularly with RH OpenShift, in bare-metal environments. 

Key Responsibilities:

  • Collaborate with application development teams to deploy, scale, and manage cloud-native applications
  • Administer and maintain Kubernetes clusters on bare metal and OpenShift platforms.
  • Monitor, troubleshoot, and optimize cluster performance and reliability.
  • Automate operational tasks using scripting and infrastructure-as-code tools (e.g., Ansible, Helm).
  • Ensure security best practices and compliance standards within the clusters.

Qualifications:

  • Requires minimum 5 years job related work experience in excess of degree requirements
  • Bachelor's Degree : Computer Science or related field (Required)
  • Or a combination of education and experience that provides equivalent knowledge to a major in such fields is required

Required Skills:

  • Proven experience developing and deploying cloud-native Kubernetes applications.
  • Scripting skills (e.g., Bash, Python) for automation.
  • Linux administration skills (preferred)
  • Strong problem-solving skills
  • Strong communication skills.
  • Hands-on experience administering Kubernetes clusters (bare metal and/or public cloud environments).
  • Hands-on experience with Red Hat OpenShift Container Platform (preferred).

Solid understanding of networking, storage, and security within Kubernetes

Job details
Workplace
Remote
Location
United States
Sapsol Technologies Inc logo
Sapsol Technologies Inc
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SAPSOL Technologies Inc. advances enterprise transformation by unifying ERP platforms with AI, cloud, and DevOps to deliver pragmatic, high-impact outcomes. We specialize in S/4HANA implementations, system and data migration, and managed support services—ensuring resilient integration and continuous optimization of core business processes. Our applied analytics and decision intelligence deliver trustworthy insights that elevate planning, controls, and operational performance. With 20+ years of delivery, SAPSOL executes rapid go-to-market programs and orchestrates complex global rollouts. We drive measurable gains in process optimization, automation, and change management. Our cloud engineering, AI, and analytics improve supply chains, financial close and reporting, and customer operations—boosting efficiency while reducing cost and risk. Our SAPSOL Product Innovation Lab (SPIL) powers execution: HireRig—our AI-driven talent platform—and production-grade AI bots that accelerate ETL and data migration, validate master data, and remediate defects. These accelerators help teams adopt, stabilize, and scale faster. Led by a seasoned leadership team, SAPSOL delivers secure cloud architectures, data platforms, and modern mobility. We collaborate with startups and invest in disruptive ideas, applying deep expertise across SAP, Oracle, IBM, and Microsoft to turn bold strategies into value. Experience pragmatic innovation with SAPSOL Technologies—where reliability meets reinvention. Contact: [email protected] | +1 343-800-7433 Managed services improved by AI bots for monitoring and triage.

Employees
157
Industry
IT Services and IT Consulting
Headquarters
Santa Clara, California
Founded
2006
Company location
2040 Martin Ave, Santa Clara, California 95050, US
Specialties
SAP Consulting, SAP Projects, SAP Staffing, SAP Outsourcing, SAP Resources (Permanent), SAP Resources (Contract), SAP ABAP DEVELOPMENT, SAP BI/BW/Business Objects, SAP Mobility, Afaria, SAP Successfactor, SAP Big Data, Oracle Enterprise Applications, Cloud Computing, Enterprise Architecture, JD Edwards, Workday, CISCO, Websphere, Testing, IoT, Managed Services, Technology Services, Projects and Cost Optimized Delivery Model, CNN/RNN, AI/Deep Learnin, RPA, Embedded Systems, and Process Re-engineering

Key team members

Kshitij Saxena

Kshitij Saxena

Miodrag Perin

Miodrag Perin

Thom Stallings

Thom Stallings

Joe Singer

Joe Singer

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