Redis Engineer AI and LLM

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Senior Redis & AI Platform Engineer in Chandler, AZ, Charlotte, NC or Dallas, TX (hybrid 3 days on-site). Contract Duration: 12+ Months.

Are you a passionate engineer with deep expertise in REDIS and Python—ready to architect scalable platforms and drive the next generation of AI-driven enterprise automation? If you thrive in high-stakes environments, enjoy tackling complex challenges, and love collaborating with business and technology partners, we want you!

• 5+ years of hands-on REDIS engineering and operations experience spanning Dev Ops, SRE, cluster management, performance tuning, RCA, debugging and diagnosing and high availability design.
• 5+ Years of Python development Strong, Handson experience with Python clients, API?and?
  
  Python libraries.
• 3+ Years of Agentic AI Development
• Packaging and Deploying Experience – Helm Charts, CI/CD, GitSaaS workflows
• Strong skills with frameworks such as?
  
  Lang Chain,?
  
  Google ADK/Agents, or similar multiagent orchestration tools.
• Ability to build tool calling agents that interact with REDIS
• Ability to build, extend, and maintain a Python-based automation platform (FastAPI or Flask) that executes REDIS actions.
• Experience designing agent tools/endpoints for AI-driven workflows.
• Experienced in designing, developing, leveraging and integrating MCP modules and pipelines to streamline diagnostics, and operational processes.
• Strong system design expertise in architecting scalable, resilient, and distributed platforms
• Proficient in producing clear, comprehensive technical documentation, including architecture diagrams, SOPs, runbooks, and operational standards.
• 7+ years of Systems Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience performing engineering and support tasks on Linux/Unix and Windows Servers
• 3 + years of experience supporting enterprise level complex applications and platforms in Production
• 5 + years of designing and building complex observability solutions leveraging industry standard toolset and or custom-built solutions
• 5+ years working with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus.

• 3+ years of experience in Site Reliability Engineering
• 3+ years of financial services preferred
• Excellent knowledge of scripting languages (Python, Shell, Perl) and SQL skills
• Experience with various CI/CD and monitoring tools such as Splunk, JIRA, Jenkins, Ansible etc.
• Experience with Open Shift Platform.
• Excellent experiences with Incident, change Management and in Service Now.
• Previous experiences in a high-paced, demanding trading floor environment.
• Excellent communication and interpersonal skills to effective collaboration with trading desk and business partners.
• Strong verbal, written, and interpersonal communication skills
• Experience leading complex projects supporting site reliability engineering design, scaling, resilience, and system performance assessments for highly critical and regulated applications.
• An understanding of the regulatory and professional standards for financial services technology.

• Engineer, manage, and optimize REDIS clusters for high performance, reliability, and scalability.
• Develop advanced Python automation solutions, APIs, and integrations with REDIS and other enterprise systems.
• Build and maintain agentic AI workflows with frameworks like Lang Chain and Google ADK/Agents.
• Deploy services using Helm, CI/CD, and Git workflows for seamless delivery.
• Design and evolve observability and monitoring solutions with tools like Ansible, Grafana, Splunk, and Prometheus.
• Create and maintain robust technical documentation and architecture diagrams.
• Streamline diagnostics by building and integrating MCP modules and pipelines.
• Support production environments and partner with trading and business teams to ensure reliability and innovation.