Summary 

The Automation Engineer designs, builds, and maintains the applications, integrations, and automations that make Austin IT and its business partners measurably faster. The role is grounded in real software engineering and is platform-agnostic by design, drawing on programming and scripting, open-source tooling, AI-driven automation, low-code platforms, and modern integration methods, and selecting the right technology for each problem rather than defaulting to one product. It turns manual, repetitive workflows into reliable, supported solutions, and applies that same automation discipline inward to reduce the operational and compliance overhead that IT itself carries. 

This is a build-anchored role. Roughly 70% of the work is development, integration, and enterprise-solution delivery; the remaining ~30% is hands-on IT support, weighted toward the systems and automations this role helps create. The position suits an engineer who would rather remove a recurring problem permanently than resolve the same ticket twice. 

Essential Duties and Responsibilities 

Other duties may be assigned. Responsibilities are grouped by the two areas of focus below. 

Software Development and Automation (~70%) 

• Design, build, test, and maintain custom applications, services, and scripts using modern programming languages and frameworks, including open-source stacks, to solve problems that off-the-shelf and low-code tools cannot. 

• Integrate systems that were not designed to talk to each other using REST APIs, JSON, webhooks, and modern authentication patterns, with structured error handling, logging, and monitoring. 

• Design, query, and optimize the relational databases and data models that underpin custom applications, integrations, and reporting. 

• Automate workflows across business platforms, including the enterprise ITSM/ticketing system, using API-based connectivity and RPA where appropriate, extending to data-platform and data-warehouse integrations. 

• Develop AI-driven automation and agent tooling (for example LLM agents, AI connectors, and emerging agent standards such as MCP) to extend existing systems, and use AI to accelerate the development work itself. 

• Where it is the right fit for a simpler workflow, deliver low-code solutions (for example Power Platform) and reporting, treated as one option among many rather than the default. 

• Stand up and maintain supporting infrastructure and services where it advances automation, including Linux and virtualization (for example Proxmox), monitoring and dashboards (for example Grafana), and network services. 

• Automate internal IT operations, including onboarding and offboarding, imaging, access provisioning, and asset workflows, through scripting, with the deliberate aim of reducing recurring support volume and freeing team capacity for higher-value work. 

• Build tooling that automates the collection of compliance evidence, access reviews, and control attestations, lowering the manual effort the department spends on audit and regulatory obligations while keeping the resulting records defensible. 

• Own full solution lifecycle: requirements, design, build, test, structured Dev/Test/Prod deployment, and post-deployment monitoring, alerting, and data-integrity checks. 

• Produce documentation, runbooks, and training so that solutions can be operated and supported by others, not only by their author. 

• Partner with business stakeholders and Enterprise IT to identify automation opportunities and translate them into scoped, sized, and sequenced work. 

IT Support (~30%) 

• Provide Tier-2 and Tier-3 support, weighted toward the applications, integrations, and automations this role helps deliver. 

• Support endpoint and asset operations, including imaging, onboarding, patching, and decommissioning, and identify candidates for automation as they recur. 

• Perform identity and access administration: provisioning and deprovisioning, group and role-based access changes, and tenant hygiene. 

• Coordinate with the managed service provider (MSP) on escalations and handoffs, allowing the internal team to focus on engineering work. 

• Contribute to the support rotation so that build days remain protected across the team rather than continuously interrupted. 

General Responsibilities 

• Maintain current, in-depth knowledge of the platforms and technologies required for the role, through formal or self-directed development. 

• Drive continuous improvement through trend analysis and metrics, including measurable reduction of manual effort and ticket volume via automation. 

• Communicate status, issues, and risks clearly to the IT Manager and stakeholders, and maintain a visible backlog of build work. 

• Exchange knowledge and reusable solutions with other Jabil sites and functional teams to support enterprise-wide adoption. 

• Ensure adherence to all company policies and procedures, including Health, Safety, Quality, and Security requirements. 

• Perform other duties and special projects as assigned, including exploratory and proof-of-concept work outside the standard toolset. 

Minimum Requirements 

• Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or a related field, or an equivalent combination of education and experience. 

• Typically 3 to 5 years of hands-on experience building, automating, and integrating systems across more than one platform or environment, with some Tier-2 support foundation. 

• Strong software development ability: writing, testing, and maintaining production-quality code in one or more modern programming languages (for example Python), comfortable with open-source stacks and not limited to any single vendor or low-code product. 

• Automation as a core competency: the ability to remove manual, repetitive work through scripting, integration, and orchestration, and to choose the right approach for the problem. 

• Fluency with integration fundamentals: REST APIs, JSON, webhooks, and authentication patterns. 

• Solid understanding of database technology: relational data modeling, SQL, and query design and optimization. 

• Practical use of AI to build and accelerate automation: LLM agents, AI connectors, and AI-assisted development, applied to real workflow, knowledge, and support problems. 

• Proficiency scripting in Python and PowerShell, and comfort working across both Linux and Windows. 

• Experience with an enterprise ITSM or ticketing platform and building integrations or automations against it. 

• Source control and CI/CD discipline using Azure DevOps, Git, and Atlassian (Jira). 

• Networking fundamentals: VLANs, routing, firewall rules, and troubleshooting connectivity end to end. 

• Working understanding of enterprise single sign-on (for example Okta). Day-to-day SSO administration sits outside this role, but the person must be able to design, integrate, and troubleshoot against it. 

• Ability to gather requirements, size work, and deliver against deadlines with limited supervision. 

Knowledge, Skills, and Abilities 

Required 

• Software development in one or more modern languages (for example Python), including open-source stacks; production-quality code. 

• Automation and integration: REST APIs, JSON, webhooks, scripting (Python, PowerShell), and workflow orchestration. 

• Database technology: relational modeling, SQL, and query optimization. 

• AI-enabled automation: LLM agents, AI connectors, and AI-assisted development. 

• Enterprise ITSM or ticketing platforms and integrating or automating against them. 

• Cloud services (AWS) supporting application and automation workloads. 

• Source control and CI/CD: Azure DevOps, Git, and Atlassian (Jira). 

• Linux and Windows administration; identity fundamentals, including exposure to enterprise SSO (Okta). 

• Networking fundamentals: VLANs, routing, firewall, and connectivity troubleshooting. 

• Low-code platforms (for example Power Platform) applied where they are the right fit. 

• Tier-2 support fundamentals and clear technical documentation. 

Preferred 

• ServiceNow specifically (ITSM, CMDB); Mendix or other low-code / LCAP platform exposure; Smartsheet; Snowflake and MuleSoft; PostgreSQL and other specific database or data-platform (Microsoft Fabric) experience; virtualization and open-source infrastructure (Proxmox, VMware, or similar); observability and monitoring (Grafana, Prometheus); containerization (Docker); SharePoint; RPA; infrastructure-as-code; and exposure to software, hardware, or test-lab environments. 

Work Environment 

Work is performed in a climate-controlled office and laboratory environment supporting software, hardware, and test operations, with light storage areas. The role operates within a fast-growing, compliance-regulated design and engineering site serving hyperscaler customers. Duties are predominantly performed at a workstation, with recurring hands-on work in lab and storage areas; the noise level is generally low to mod