DevSecOps and SRE

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 team’s 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 team’s 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

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)