Senior Systems Engineer - Cloud, Kubernetes & SRE

Compunnel Inc.; Westlake (OH); Hybrid; USD 100,000 - 120,000; Full time

Job summary

A technology solutions firm is seeking a Systems Engineer responsible for engineering and operational support across various platforms. The role involves modernizing and deploying applications while ensuring system stability. Ideal candidates will have extensive experience in distributed systems, proficiency in cloud technologies like AWS and Azure, and strong scripting skills in PowerShell and Python. The position may require 24x7 support and promises a dynamic work environment.

Qualifications

• 7-8+ years of experience supporting highly distributed, multi-tiered systems.
• Hands-on experience with Linux/UNIX and Windows operating systems.
• Experience with CI/CD pipelines and DevOps/SRE practices.

Responsibilities

• Perform engineering and operational support across cloud enablement and platform engineering.
• Deploy and test applications ensuring reliability in production environments.
• Collaborate with development and platform teams for stable runtime environments.

Skills

Strong problem-solving skills

Troubleshooting abilities

PowerShell scripting

Python scripting

Knowledge of ITIL practices

Communicating effectively

Education

Bachelor’s degree in a technology-related field

Tools

AWS

Azure

Splunk

DataDog

Kubernetes

Job description

The Systems Engineer is responsible for engineering and operational support across application support, cloud enablement, environment management, platform engineering, digital operations, and basic network operations.

This role involves modernizing, deploying, testing, and supporting applications while ensuring system stability, scalability, and performance.

The individual will work across distributed, multi-tiered platforms and collaborate closely with application development and cloud platform teams.

The position requires the ability to work in dynamic environments, support production workloads, and contribute to innovative technology initiatives.

Key Responsibilities

• Perform engineering and operational support across application support, cloud enablement, environment management, digital operations, platform engineering, and network operations.
• Deploy, modernize, and test applications while ensuring reliability in production environments.
• Collaborate with development and platform teams to deliver stable and scalable runtime environments for business-critical workloads.
• Support highly distributed, multi-tiered systems at scale and ensure environment stability and availability.
• Conduct workflow design, data analysis, and requirements identification and documentation.
• Manage and support cloud technologies including SaaS platforms, AWS, and Azure.
• Work with Linux/UNIX and Windows operating systems in hybrid environments.
• Utilize analytics and monitoring tools such as Splunk and DataDog.
• Support CI/CD pipelines, container orchestration (Kubernetes), and scripting with PowerShell and Python.
• Perform triage, root cause analysis, and problem resolution under pressure.
• Ensure adherence to ITIL practices and Agile methodologies.
• Provide 24x7 support for production environments when required.
• Apply strong problem-solving, troubleshooting, and decision-making skills.
• Ensure data security and compliance across systems and environments.
• Communicate effectively, share feedback, and collaborate with teams to drive continuous improvement.
• Participate in dynamic work environments with blended onsite and offsite work schedules.

Required Qualifications

• Bachelor’s degree in a technology-related field; master’s degree is a plus.
• 7–8+ years of experience supporting highly distributed, multi-tiered systems.
• Strong experience ensuring stability and availability of technology environments.
• Knowledge of ITIL practices and experience with Agile methodologies.
• Hands-on experience with Linux/UNIX and Windows operating systems.
• Experience with cloud technologies including AWS, Azure, and cloud-based SaaS solutions.
• Practical knowledge of networking fundamentals (ping, traceroute, DNS).
• Experience with monitoring and analytics platforms such as Splunk or DataDog.
• Hands-on experience with Kubernetes and container orchestration.
• Experience with CI/CD pipelines and DevOps/SRE practices.
• Proficiency in PowerShell and Python scripting.
• Experience supporting production systems in large-scale environments.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Ability to perform triage, root cause analysis, and make decisions under pressure.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience working with financial or regulated environments.
• Experience with workflow design, data analysis, and requirements definition.
• Strong stakeholder management and facilitation skills.
• Ability to adapt to hybrid working models and dynamic team environments.

Certifications

• AWS certification (preferred or beneficial).