DevOps Engineer: EKS, PagerDuty, Service Mesh

ScaleSolutions Inc; Corpus Christi (TX); On-site; USD 71,000 - 96,000; Full time

Benefits offered by this job

Health plans with medical,dental, and視

Dental plans

Vision plans

Annual bonuses

Job summary

ScaleSolutions Inc. is hiring a cloud-focused engineer to ship code that matters for PagerDuty-backed systems. You will own services end to end, leveraging Service Mesh expertise and on-call rotations, with a salary range of $71,000–$96,000.

Ideal candidates bring 4+ years of Splunk experience, hands-on EKS and PagerDuty knowledge, and a portfolio of work demonstrating technology leadership. Join a team that values learning and impact across high-traffic workloads.

Qualifications

• Solid foundation in Splunk with 4+ years of experience.
• Portfolio or work samples demonstrating technology expertise.
• Judgment with at least 3 years of real-world consequences.
• Working understanding of Amazon EKS and PagerDuty in real-world settings.
• Experience translating Service Mesh complexity for non-technical audiences.

Responsibilities

• Translate napkin ideas into an accountability-focused prototype.
• Champion engineering excellence and continuous learning within ScaleSolutions Inc.
• Own a technology service end to end from EI schema to on-call rotation.
• Document the Linux Administration system to speed onboarding.
• Pair with cross-functional partners to scope and deliver freelance projects.

Skills

Splunk

Amazon EKS

PagerDuty

Service Mesh

Portfolio samples

Tools

Linux Administration

Job description

ScaleSolutions Inc. is hiring a cloud-focused engineer to ship code that matters for PagerDuty-backed systems. You will own services end to end, leveraging Service Mesh expertise and on-call rotations, with a salary range of $71,000–$96,000.

Ideal candidates bring 4+ years of Splunk experience, hands-on EKS and PagerDuty knowledge, and a portfolio of work demonstrating technology leadership. Join a team that values learning and impact across high-traffic workloads.