Site Reliability Production Engineer (AI/ML Ops)

RESPONSIBILITIES:
Kforce has a client that is seeking a Site Reliability Production Engineer (AI/ML Ops) in Smithfield, RI.

Key Tasks:
* Analyze system and application metrics to improve performance, reliability, and fault detection
* Partner closely with engineering teams to design, build, deploy, and support resilient services
* Contribute to system design reviews, platform management, and capacity planning
* Build sustainable automation to reduce manual effort and operational overhead
* Develop and refine SLI/SLO/SLA frameworks to balance speed, reliability, and customer experience
* Improve observability across environments using modern tools and practices
* Identify, prototype, and implement automation using scripting, infrastructure tooling, and AI/LLM-based solutions
* Diagnose and tackle complex issues across distributed systems and end-user computing environments
* Evaluate new technologies, patterns, and tools to drive continuous improvement
* Create and deliver high-quality technical content, remote actions, and workflows to enable self-service and operational efficiency

REQUIREMENTS:
* Bachelor's degree or equivalent experience in Computer Science or related field (preferred)
* 5+ years in SRE, DevOps, or production engineering, supporting distributed systems in fast-paced environments
* Strong scripting experience with PowerShell and Python; Practical knowledge of SQL, XML, and data integration
* Hands-on experience with observability tooling (e.g., Dynatrace, Nexthink), monitoring, logging, and metrics systems
* Knowledge of ITSM and ITIL frameworks and experience with ServiceNow or similar platforms
* Strong understanding of DevOps/SRE principles, including SLIs, SLOs, error budgets, automation, and resiliency patterns
* Proven experience with CI/CD pipelines, cloud platforms (AWS/Azure), and modern SaaS solutions
* Technical depth in Windows and Linux systems and enterprise end-user computing environments
* Ability to translate analytical insights into actions, automations, and operational improvements
* Familiarity with AI/LLM technologies and how to use them to improve workflows, automation, observability, or troubleshooting (preferred)
* Strong problem-solving, communication, and cross-team collaboration skills
* Proven experience supporting financial systems or working in financial services is a plus

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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