Must Have Technical/Functional Skills:

• 8+ years of software engineering experience, including 3+ years in senior/staff roles and 2+ years
• with AI/ML experience
• Deep expertise in Python and TypeScript able to architect and build across the full stack
• Expert-level AWS ECS, Lambda, DynamoDB, IAM, VPC, CloudFormation/Terraform, multi-account strategies
• Production experience incident management, SLOs, error budgets, capacity planning
• CI/CD platform ownership at scale GitLab CI, pipeline-as-code, environment orchestration
• Security engineering background threat modeling, IAM design, vulnerability management, compliance (FRB, SOX/FFIEC)
• Experience with AI/ML systems LLM integration, prompt engineering, RAG architectures, embedding models
• Track record of mentoring engineers and raising team capabilities
• Excellent communication can translate technical decisions for leadership and collaborate across teams
• Experience in financial services or similarly regulated environment preferred Must Have (Elevate-specific),
• Demonstrated ability to operate independently with minimal direction
• History of driving organizational-level technical improvements
• Comfort with ambiguity define the problem, not just solve it
• Player-coach mindset hands-on coding while mentoring and leading
• Ability to context-switch between strategic (architecture, roadmap) and tactical (debugging, shipping)
• Tech Stack, Python 3.12 | FastAPI | React 19 | TypeScript | AWS (ECS, Lambda, DynamoDB,
• EventBridge, IAM, VPC) | Terraform | GitLab CI | Docker | Dynatrace (DQL) | Jira/Confluence/ServiceNow APIs | AI Gateway (GPT/Claude/open-source LLMs)

Roles & Responsibilities:

Technical Leadership & Application Architecture (30%) - Drive decisions & resolve challenges for internal

AI platform service design, data modeling, API contracts, scaling strategy, intelligence build - Establish

and enforce engineering standards code quality, testing practices, security controls, deployment patterns

Lead design reviews and technical decision-making for the team - Define and evolve the teams AI governance

framework trust levels, approval chains, model evaluation criteria - Represent engineering in cross-functional

forums architecture review boards, security assessments, compliance audits - Own technical roadmap

alignment between DevSecOps, RM, and Cognitive Engineering workstreams

Production Engineering & SRE (25%) - Own production reliability SLO definition, error budgets, availability t

argets - Lead complex incident response triage, cross-team coordination, executive communication Design

and implement self-healing automation detection, decision, approval, remediation pipelines - Architect

observability strategy Dynatrace/internal logging instrumentations, alerting, dashboards, DQL

queries - Manage on-call rotation; mentor team on debugging production issues - Drive toil reduction

identify repetitive operational work, automate or eliminate

DevSecOps & Security (20%) - Own CI/CD platform architecture pipeline optimization, caching, parallel

execut ion, security gates - Design and implement security controls IAM policies, network segmentation,

secrets management, vulnerability remediation - Lead infrastructure-as-code practices Terraform module

design, drift detection, compliance validation - Manage AWS infrastructure at scale ECS clusters,

Lambda@Edge, DynamoDB capacity planning, cost optimization - Drive container security image hardening,

ECR scanning, runtime protection

AI & Cognitive Engineering (25%) - Lead internal AI platform technical direction self-heal engine, knowledge

core, proactive monitoring, COG grid - Design AI pipeline architecture LLM routing, prompt management,

token budgets, model evaluation - Build the teams AI engineering capabilities Realted evolving tools

enablement, Guild Commons governance - Own the Ally AI Gateway integration model selection, fallback

strategies, cost optimization - Pioneer AGI-readiness patterns multi-model orchestration, approval chains,

confidence-gated autonomy - Drive adoption strategy enable other teams to contribute personas and

extend the platform

Salary: $68,000 - $110,000