Site Reliability Production Engineer; AI​/ML Ops

Job Summary

A proactive approach focused on reliability, performance, and continuous improvement.

Curiosity and the ability to quickly learn complex systems and processes.

Passion for automation, reducing toil, and improving operational perfection.

Excitement for working in a fast-paced, collaborative, globally distributed environment.

Location:

Smithfield, Rhode Island

Job Type: Contract

Salary: $79 - $80 per hour

Work Hours:

8am to 5pm

Education:

Bachelors

• 5+ years in SRE, Dev Ops, or production engineering, supporting distributed systems in fast-paced environments.
• Strong scripting experience with Power Shell 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 Service Now or similar platforms.
• Strong understanding of Dev Ops/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.
• Bachelor's degree or equivalent experience in Computer Science or related field (preferred).
• Proven experience supporting financial systems or working in financial services is a plus.

• 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.

Equal Opportunity

Employer:

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact us.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short‑term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.