updated 13 days ago
Senior Associate Solutions Designer, Automation (AI)
110 700 - 171 800$
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Job description
Text:
TL;DR
Senior Associate Solutions Designer, Automation (AI): Designing and delivering secure, scalable infrastructure solutions across on-premises and public-cloud environments with an accent on Kubernetes, cloud automation, and AI/ML integrations. Focus on building agentic AI and LLM workflows, developing infrastructure-as-code templates, and automating deployment and developer-experience processes.
Location: US - Austin, TX; hybrid with at least 3 days in the office. Travel required 5–10% of the time.
Salary: $110,700–$171,800 USD per year, with potential bonus and equity eligibility.
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and government entities.
What you will do
- Design, architect, and deliver secure, highly available, and scalable infrastructure solutions for on-premises and public-cloud environments.
- Integrate AI/ML frameworks, chatbots, agents, LLMs, and generative AI capabilities into ’s technical ecosystem.
- Lead agentic AI initiatives that automate workflows and improve developer experience.
- Build infrastructure-as-code solutions, automated testing, and reusable templates for cloud infrastructure and platform deployments.
- Develop automation using Python, Java, and Go to streamline end-to-end application delivery.
- Design, deploy, and troubleshoot containerized systems using Docker and Kubernetes across AWS, Azure, and GCP.
Requirements
- At least 2 years of work experience with a Bachelor’s or advanced degree; preferred candidates have 5+ years of relevant architecture, engineering, or development experience.
- Experience designing, building, and operating production cloud or container platforms and migrating applications to the cloud.
- Hands-on experience with Kubernetes, Docker, hybrid-cloud infrastructure, infrastructure as code, automated testing, and CI/CD tools such as Jenkins.
- Experience with AI agent frameworks, LLMs, generative AI applications, or AI-powered development tools.
- Knowledge of Linux/Unix, networking, certificate and secret management, API design, microservices, distributed systems, and modern cloud architectures.
- Proficiency with Git and cloud platforms including AWS, Azure, or GCP.
Culture & Benefits
- Hybrid office-based work arrangement with at least three office days per week.
- Medical, dental, and vision coverage.
- 401(k), FSA/HSA, life insurance, paid time off, and wellness program.
- Potential bonus, equity, and sales incentive eligibility where applicable.
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