Redis Engineer with AI and LLM

About the job

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!

Required Skills & Experience

• 5+ years of hands-on REDIS engineering and operations experience spanning DevOps, 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?LangChain,?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.

Desired Skills • 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 OpenShift Platform.

• Excellent experiences with Incident, change Management and in ServiceNow.

• 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.

What You Will Be Doing

• 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 LangChain 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.