System Engineer

Morgan McKinley; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

Morgan McKinley is seeking a hands-on Systems Engineer to join our Dublin-based program, focusing on cloud infrastructure, automation, and enterprise networking for large-scale logistics operations.

You will work across Linux, Python and Java, implement CI/CD pipelines, and drive high-availability, fault-tolerant architectures in distributed environments that support thousands of on-site users and edge devices.

Qualifications

• Hands-on systems engineering with cloud and automation.
• Experience with CI/CD pipelines and DevOps workflows.
• Proficient Python with working knowledge of Java.
• Experience with Linux/UNIX administration.
• Experience with distributed systems and high-availability.

Responsibilities

• Design, develop, and support scalable infrastructure across regional distribution centers.
• Build cloud-native solutions using public clouds and standard DevOps methodologies.
• Create automation tooling in Python and Java to improve operational efficiency.
• Design resilient, fault-tolerant, and scalable systems using standard patterns.
• Troubleshoot complex issues across Linux/UNIX, networking, storage, and distributed infra.
• Partner with network and software teams to integrate infrastructure with applications.
• Automate CI/CD pipelines, telemetry, alerting, and operational workflows.
• Contribute to enterprise-wide software initiatives and optimize production systems.
• Author/runbooks, architecture diagrams, and operational procedures.
• Operate within an Agile/Scrum delivery model across cross-functional teams.
• Drive end-to-end incident resolution and long-term fixes in a fast-paced environment.
• Hands-on experience in major public cloud environments.
• Strong foundation in cloud computing, networking, and distributed architecture.
• Familiarity with IaC and state management tooling.
• Containerization (Docker) and orchestration (Kubernetes).
• Modern observability tooling and edge/IoT deployments.

Skills

Systems engineering

Public cloud

Python

Java

CI/CD

DevOps

Linux/UNIX

Networking

Terraform

Docker

Kubernetes

Education

Bachelor's degree in a technical field

Tools

Terraform

CloudFormation

Docker

Kubernetes

Job description

I am currently keen to connect with experienced Systems Engineers across Dublin to discuss upcoming, high-impact contract positions supporting global logistics and automated supply chain infrastructure.

These upcoming projects sit within high-scale operational engineering teams responsible for the core infrastructure powering automated distribution facilities and transportation networks worldwide. The environments typically support thousands of active onsite users, hundreds of thousands of connected edge systems, and extensive fleets of autonomous robotics and automated sorting systems.

If you are a contractor open to upcoming assignments in Dublin, I would be interested in having an initial conversation to walk through the technical scope and see if this aligns with your availability.

Key Responsibilities

• Design, develop, and support scalable infrastructure solutions across regional distribution centers and transportation hubs.
• Build cloud-native solutions using modern public cloud platforms and standard DevOps methodologies.
• Create automation and software tooling in Python and Java to improve operational efficiency and fleet health.
• Design and implement resilient, fault-tolerant, and scalable systems using standard architecture and design patterns.
• Troubleshoot complex, multifaceted issues across Linux/UNIX, networking, enterprise storage, and distributed infrastructure.
• Partner with network and software engineering teams to tightly integrate infrastructure layers with enterprise applications.
• Automate continuous deployment, telemetry, alerting, and routine operational workflows.
• Contribute to enterprise-wide software initiatives and optimize existing production systems.
• Author and maintain clear technical runbooks, architecture diagrams, and operational procedures.
• Operate within an Agile/Scrum delivery model while collaborating across cross-functional engineering teams.
• Drive end-to-end incident resolution and deliver long-term fixes within a fast-paced, high-throughput environment.
• Hands-on experience architecting and developing natively in major public cloud environments
• Solid foundation in modern cloud computing, networking, and distributed systems architecture.
• Proficient software development skills in Python, with working knowledge of Java.
• Practical experience with CI/CD pipelines, DevOps workflows, infrastructure automation, and configuration management.
• Direct systems administration and engineering experience in Linux/UNIX environments.
• Strong working knowledge of compute, storage architectures, and core networking protocols (TCP/IP, routing, DNS, subnets).
• Background in designing high-availability systems with a focus on latency, fault isolation, and scalability.
• Familiarity with common architectural frameworks and object-oriented design patterns.
• Experience working inside structured Agile/Scrum engineering workflows.
• Rigorous troubleshooting, root-cause analysis, and analytical skills.
• Strong written and verbal technical communication skills, with proven ability to operate with autonomy.
• High-scale enterprise infrastructure or hyperscale cloud environments.
• Industrial automation, automated guided vehicles (AGVs), warehouse robotics, or smart manufacturing technologies.
• Large-scale distributed systems and geo-redundant architectures.
• Infrastructure as Code (e.g., Terraform, CloudFormation) and state management tooling.
• Containerization (Docker) and orchestration platforms (Kubernetes, ECS).
• Modern observability tooling (telemetry, distributed tracing, metric dashboards, and automated alarms).
• Managing large-scale deployments of IoT, edge hardware, or connected field devices.

Ideal Candidate

We are looking for a hands-on Systems Engineer with strong public cloud and software development experience across cloud infrastructure, enterprise networking, Linux operating systems, and automation. The ideal candidate thrives when diagnosing complex distributed systems issues, working cross-functionally across engineering teams, and shipping dependable, enterprise-grade solutions into active operational facilities.