> Markdown version of [/jobs/ext/1183384-software-engineer-3](https://www.wearedevelopers.com/jobs/ext/1183384-software-engineer-3). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 3 - **Company:** Ampcus Inc - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Software Quality, Computer Programming, Continuous Integration, Noise Reduction, Software Design Documents, DevOps, Eclipse (Software), Github, Hyper-V, IBM Rational Application Developer, Issue Tracking Systems, Systems Analysis, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Tensorflow, Software Engineering, Systems Integration, Test Management, Toolchain, Virtual Machines, Datadog, Data Logging, Pulumi, Cloud Platform System, Pytorch, Cloudformation, Usage Tracking, Containerization, Git Flow, Scikit Learn, Information Technology, Github Enterprise, Data Analytics, Machine Learning Operations, Virtual Agents, Terraform, Natural Language Generation - **Published:** July 4, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/15062192?backUrl=%2Fcareer%2F15062192%2FSoftware-Engineer-3-Texas-Austin ## About the Role * Bachelor's degree in computer science, Engineering, or equivalent experience. * 3 years in Development/Automation roles. * Strong background in cloud-native infrastructure (AWS, Azure, or GCP). * Proficiency in automation and scripting (Python is preferred, Bash, etc.). * Solid understanding of CI/CD pipelines. * Experience with cloud-native technologies. * Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering). * Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). * Good understanding of monitoring, logging, and observability tooling. Preferred Skills: * Experience with anomaly detection, predictive analytics, or time-series forecasting. * Knowledge of MLOps practices (for internal AI models). * Experience integrating AI solutions into DevOps toolchains and platforms. * Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation). * Some working experience with Hyper-V Virtual Machine Management * Asset and service account management. * BMC Helix ticketing system., * 8 Years Required: Proven ability to administer GitHub Enterprise Cloud. * 8 Years Required: Proven ability to analyze and resolve complex issues. * 8 Years Required: Supporting and training end users on all levels. * 8 Years Required: Hands-on experience with Continuous Integration Delivery models. * 3 Years Preferred: Hands-on experience with large development projects using Agile methodology. ## Description * Client requires the services of Software Engineer 3, hereafter referred to as Candidate(s), who meets the general qualifications of Software Engineer 3, Applications/Software Development and the specifications outlined in this document for the Client. * All work products resulting from the project shall be considered "works made for hire" and are the property of the Client and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Client will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s). * Develop software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes. Investigates problems. Prepares and installs solutions by determining and designing system specifications, standards, and programming. * We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization. Key Responsibilities: * Design and implement AI/ML models that improve SDLC processes in domains, such as: + Development experience and productivity. + Intelligent test management using data analytics and predictive techniques. + Predictive infrastructure failure detection. + Agentic AI, MCP implementation, and RAG techniques. + Intelligent alerting and noise reduction. + Automated incident classification and root-cause analysis. + CI/CD optimization based on historical trends. + Using GenAI for IaC. + Any other innovative use-cases. * Work closely with Development, DevOps, and Infrastructure teams to identify automation opportunities and pain points. * Develop automation scripts and tool to reduce manual tasks, operational efficiencies, and user experience. * Build, deploy, and maintain pipelines to train and continuously improve AI models for DevOps use-cases. * Collaborate with Infrastructure, Cloud, and DevOps teams to create architecture/design documents for proposed solutions. * Ensure operational reliability, scalability, and performance of AI-driven automation tooling. * Integrate AI solutions into monitoring. * Experience with Agile Scrum and DevOps methodologies. * Experience working in Developer IDEs, such as Eclipse, IBM Rational Application Developer, STS, etc. * Create technical and design documentation, as required. * Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities. * GitHub Administration: + Manage repositories, branching strategies, and access control. + Automate workflows using GitHub Actions or similar CI/CD tools. + Maintain code quality and integration processes. + Define and implement governance rules. * Other duties as assigned. ## Related Videos - [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) - [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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)