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Metro location, mid-level experience, and broad AIOps/DevOps skillset increase candidate competition.
Core DevOps and AIOps skills are transferable, but financial-services AIOps context raises domain specificity moderately.
Explicit 2+ years AIOps/production support requirement plus specific tooling implies moderate filtering of candidates.
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Provide L1, L2, and L3 support for AIOps products ensuring production system stability, performance, and availability.
Develop and maintain automation scripts (Python) and monitor AIOps platforms to proactively detect, diagnose, and resolve operational issues.
Collaborate with cross-functional teams to implement models, improve AIOps techniques, and communicate deployment status and risks to stakeholders.
Bachelor’s Degree in Computer Science, Engineering, or related field.
2+ years experience as a Production Support Analyst or in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, or Analytics in retail financial services or IT with agile methodologies.
Experience with DevOps tools such as ServiceNow, Azure DevOps, GitHub; familiarity with AI and Machine Learning concepts.
Hybrid work environment requiring 6 to 8 days per month onsite.
Experienced in end-to-end production support of AIOps systems with operational accountability for system reliability.
Comfortable analyzing complex data and independently addressing client requirements and issues.
Skilled in automation with Python and collaborative work in cross-functional, agile teams focused on continuous improvement.