Senior Infrastructure Engineer

In this role, you will:

• Lead or participate in high level technical concepts spanning technology and business

• Develop specifications for complex infrastructure systems, design and test solutions

• Contribute to the testing of business, application and technical infrastructure requirements

• Drive solutions to reduce recovery

• Review and analyze solutions for cloud security, secrets management and key rotations

• Design, code, test, debug and document programs using Agile development practices

• Design complex system upgrades

• Resolve troublesome trends as they develop

• Develop a long range plan designed to resolve problems and prevent them from recurring

• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success

• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Required Qualifications:

• 4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Programming & Automation

  • Strong proficiency in Python in Python for automation, scripting, and problem-solving

  • Working knowledge of Ansible for automation, including playbook and role development

• API & Integration

  • Experience in developing and consuming REST APIs

  • Ability to integrate automation solutions with enterprise systems and services

• CI/CD & DevOps Practices

  • Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, or similar)

  • Exposure to pipelines-as-code and SDLC automation practices

  • Proficiency in Git for version control and collaboration

• Automation & Frameworks

  • Experience building or contributing to automation frameworks or reusable components

  • Understanding of automation best practices, modular design, and scalability

• Troubleshooting & Problem Solving

  • Ability to debug and troubleshoot issues across code, automation scripts, and workflows

  • Strong analytical thinking with attention to detail and accuracy

• AI/GenAI Experience (Preferred)

  • exposure to GenAI concepts (LLMs, prompt engineering, embeddings, RAG)

  • Familiarity with frameworks like LangChain or LlamaIndex is a plus

  • AI mind set, experience leveraging AI‑assisted tools for code development, optimization, testing, and operational efficiency.

• UI/Tooling

  • Working knowledge on GUI-based tools or automation interfaces

• Agile & Collaboration

  • Experience working in Agile environments (Scrum/Kanban)

  • Ability to collaborate effectively in cross-functional teams

• Communication & Personal Skills

  • Strong verbal and written communication skills

  • Good organizational and time management skills to handle multiple tasks

Job Expectations:

• Understanding of enterprise use cases for Generative AI

• Knowledge of responsible AI practices and ethical considerations

• Ability to optimize AI solutions for performance and cost

• Well versed in MLOps concepts for LLM applications

• Staying current with rapidly evolving Gen AI technologies and best practices

• Strong verbal and written communication skills 

• Good problem solving and analytical skills 

• Should be detail oriented, able to multitask 

• Strong lead engineering skills to effectively guide teams on technical aspects.