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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level Systems Engineer - Ireland location - **Company:** Eastside Distilling, Inc. - **Location:** Jacksonville, FL, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Automation of Tests, Bash Shell, Software as a Service, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), Octopus Deploy, Prometheus, Azure Machine Learning, Scripting, Delivery Pipeline, Prompt Engineering, Amazon Virtual Private Cloud (VPC), Backend, Servicebus, Event Driven Architecture, Amazon Relational Database Service, Kubernetes, Low Latency, Performance Monitor, AWS Fargate, Apache Kafka, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Virtual Private Clouds, Software Version Control, Data Pipelines, Docker - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e827ecc809995e56 ## About the Role Do you have experience in Virtual Private Clouds?, * 3-5 years of hands-on DevOps / Systems Engineering experience. * Solid experience with AWS core services (EC2, Fargate, VPC, IAM, S3, RDS, CloudWatch). * Working knowledge of Terraform (or similar IaC). * Proficiency with Docker and container orchestration (Kubernetes or ECS). * Comfortable scripting in Python and Bash. * Understanding of AI/ML operational concerns: latency, cost optimisation, model versioning, prompt engineering basics, and guardrails. * Good grasp of networking, security, and observability best practices. * Strong problem-solving skills and eagerness to learn. Nice-to-Have * Experience with CI/CD tools (GitHub Actions, CodePipeline, ArgoCD). * Exposure to real-time or high-volume SaaS systems. * Basic knowledge of data pipelines or event-driven architecture (EventBridge, SQS, Kafka). * Practical experience integrating Amazon Bedrock and/or Anthropic Claude ## Description We're looking for a Mid-Level DevOps / Systems Engineer who is excited about both traditional infrastructure and emerging AI/ML platforms. You will report to our Engineering Manager and help build and operate the reliable, scalable AWS foundation that powers our core platform and our growing AI features (using Amazon Bedrock, Anthropic Claude, and similar tools). This is a hands-on role with room to grow: you'll own meaningful projects, collaborate closely with backend and data teams, and help shape how we productionize AI workloads., * Provision, and maintain scalable infrastructure on AWS using Terraform. * Deploy and manage containerized applications with Docker, Kubernetes, and AWS Fargate. * Write automation scripts and tools in Python and Bash. * Build and optimize CI/CD pipelines for both backend services and AI components using GitHub Actions. * Integrate and operate AI/ML services: * Amazon Bedrock (model invocation, agents, knowledge bases, guardrails). * Anthropic Claude models via Bedrock or direct API. * Monitor performance, cost, and reliability of both traditional and AI workloads (CloudWatch, Prometheus, custom dashboards). * Ensure security, compliance, and responsible AI practices (data privacy, model safety, cost controls). * Troubleshoot production issues and contribute to on-call rotation. * Collaborate on infrastructure improvements that support AI-driven features (e.g., real-time shift recommendations, chat assistants, predictive no-show detection). ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers)