Technical Delivery Lead – AI, Automation & SRE

Please use rate card to determine bill rate

Remote is fine

potential for extensions

job description:

We are seeking a high-performing, deeply technical, and exceptionally self-reliant Technical Delivery Lead to drive the execution of core automation and artificial intelligence initiatives within our Application Infrastructure and Operations (AIO) team. Acting as a Technical Lead, this hands-on, high-impact position requires a strong technical baseline combined with master-level stakeholder management. The ideal candidate will operate with high autonomy, orchestrating multiple cross-functional teams using DevOps and Site Reliability Engineering (SRE) principles. You will own the day-to-day coordination, milestone tracking, and operational delivery of critical AI, vulnerability mitigation, and infrastructure automation streams, ensuring leadership is updated with strategic, high-level visibility.

Essential Duties & Responsibilities:

·         Orchestrate "Ask Oppy" Delivery: Serve as the primary operational driver for "Ask Oppy"—our Agentic AIOps Orchestrator—managing timelines, cross-team dependencies, integration of developed code blocks, and delivery milestones utilizing Google Cloud Vertex AI and Model Context Protocol frameworks.

·         Drive Core Automation & Self-Healing Solutions: Directly oversee and unblock critical cross-team infrastructure operations programs, including end-to-end password reset automation initiatives and Dynatrace monitoring, alerting, and self-healing automation workflows.

·         Advance I&O AI Initiatives: Manage execution timelines for specific Infrastructure and Operations (I&O) AI projects, aligning engineering output with broader organizational goals to ensure system resilience and reduce user impact.

·         Observability & Pipeline Standardization: Design, implement, and automate CI/CD pipeline guardrails and observability standards across multi-cloud environments using enterprise tools like Dynatrace, Splunk, and Cloudwatch to proactively prevent downtime.

·         System Testing, Validation & ETL Oversight: Define, organize, and execute end-to-end performance testing and data integrity validation, including Snowflake and ETL pathways, ensuring newly configured technical solutions meet strict performance benchmarks prior to production launch.

·         Unified Support & Intake Integration: Lead the technical implementation and workflows for unified support systems, leveraging IT Service Management (ITSM), ITIL, and Lean frameworks to turn operational workflows into repeatable, automated ticketing and platform solutions.

·         Vulnerability Tracking & Security Solutions: Formulate, integrate, and deploy standardized vulnerability tracking workflows and automated remediation frameworks across the portfolio to ensure infrastructure systems meet strict enterprise security compliance.

·         Cross-Functional Orchestration: Harmonize diverse engineering, application support, and data teams; manage resource dependencies; navigate competing technical priorities; and drive strict accountability across separate technical units to meet consolidated timeline goals.

·         Autonomy & Communication: Establish highly efficient, concise reporting cadences for leadership. Anticipate bottlenecks, clear roadblocks independently, and distill complex, multi-team technical statuses into clear, actionable executive updates.

·          

Skills:

Minimum Qualifications/Education:

·         Education: Bachelor’s degree in Computer Science,, Information Technology, or a related field.

·         Experience: 7+ years of experience leading complex technical projects, product delivery, infrastructure rollouts, or software delivery within a global or multi-regional enterprise IT environment.

·         Technical Literacy: Proven hands-on experience working with enterprise monitoring and observability tools (e.g., Dynatrace, Splunk, Cloudwatch), CI/CD pipeline automation, and AI/ML deployments.

·         SRE & DevOps Mindset: Deep familiarity with Site Reliability Engineering (SRE) practices, automated testing, cloud automation framework