Forensic Software Engineer Jobs in Austin, TX (NOW HIRING)

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a highly motivated Software Engineer 3 to develop AI-driven solutions that optimize software development lifecycle processes and improve operational efficiency. The role involves designing and implementing AI/ML models, collaborating with various teams, and ensuring the reliability and performance of automation tooling.
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.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• 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.
• 3 Years Preferred: Hands-on experience with large development projects using Agile methodology.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.