DevOps Engineer I

Position OverviewThe DevOps Engineer I designs, modernizes, and supports core cloud infrastructure and the pipelines used to deliver it. The position works with proprietary platforms and current third-party tools, including AI-assisted coding tools for research, drafting, and routine technical tasks.Primary focus areas are system reliability, delivery pipeline quality, and a secure operating baseline. The engineer collaborates with developers and senior DevOps engineers, operates under guidance, and assumes expanded responsibility as technical experience develops.Assignments are of limited to moderate complexity and are performed under oversight. Typical work includes improving a pipeline, implementing a backup or monitoring control, remediating a security finding, and supporting developer deployments.Work authorization: Spring Venture Group is unable to sponsor this position now or in the future. Candidates must be a U.S. citizen or a lawful permanent resident (green card holder).Essential Duties and ResponsibilitiesDeliver infrastructure initiatives and engineering requests to required quality standards, applying sound technical judgment and approved AI-assisted engineering tools.Monitor, troubleshoot, maintain, and improve automated build, packaging, and deployment processes.Implement automated infrastructure capabilities, including backups, security scanning, and system monitoring.Apply DevOps and Site Reliability Engineering practices to improve process quality across the change lifecycle, from code commit through production release.Collaborate with the DevOps Manager, DevOps Team Leads, senior engineers, and software development teams. Seek guidance as needed and document technical decisions and procedures.Implement security and vulnerability remediations identified by the DevOps team, and escalate newly identified risks promptly.Use AI coding assistants for research, drafting, and routine tasks. All AI-generated output is reviewed, tested, and deployed through the standard reviewed pipeline.Manage and implement company tools, solutions, and platforms, including:CI/CD: GitHub, GitHub Actions, AWS CodeBuild, AWS CodePipeline, and related deployment toolingInfrastructure as Code: AWS CDK and AWS CloudFormationObservability: Datadog, Amazon CloudWatch, and OpenTelemetryAutomation: Python, Bash, Node.js, and similar scripting languagesAI assistants: Approved AI coding and analysis tools used for software development, data gathering, and analysisSupport developer teams in local and cloud environments, including containerized (Docker, Amazon EKS) and serverless workloads as applicable.Participate in an on-call rotation to triage, troubleshoot, and resolve production issues of varying scope and complexity.Perform other duties and responsibilities as assigned.Representative WorkImprove a CI/CD pipeline to increase deployment reliability for a development team.Convert a recurring manual check into a documented, reviewed automation.Reduce alert noise by refining Datadog or CloudWatch monitors.Close a security finding through an infrastructure change that is version-controlled and reproducible.Support senior engineers on CDK or CloudFormation updates to shared modules.Document incident findings and contribute to corrective actions.Use AI-assisted tools to draft scripts or summarize documentation, with results validated before use in any non-development environment.Operating PrinciplesControlled change. Releases are kept small and reviewable. Rollback procedures are defined before deployment.Security by default. Least-privilege access, reviewed infrastructure code, timely remediation of findings, and no secrets in source code or chat logs.Automation with defined value. Manual processes are documented first, then automated where the return is clear.Accountability for changes. AI-assisted tools accelerate drafting and research. The engineer is accountable for all changes that are merged and deployed.Human review of decisions. AI tools are used extensively for data gathering and analysis. Decision points remain under human review.Structured development. Mentorship, code review, and oversight are part of the role, supporting progression to more complex work.