Senior DevSecOps & SRE for AI Platform & Cloud

Tata Consultancy Services; Charlotte (NC); On-site; USD 68,000 - 110,000; Full time

Job summary

Tata Consultancy Services seeks an experienced Senior Engineering Lead to drive the AI platform, production reliability, and security architecture for our complex services in the Charlotte area. The role combines strategic architecture with hands-on coding, mentoring, and cross-team leadership.

You will shape data models, API contracts, and scaling strategies while ensuring robust governance, security controls, and compliance across financial services contexts.

Qualifications

• 8+ years of software engineering experience, incl 3+ years in senior roles.
• 2+ years with AI/ML experience.
• Deep expertise in Python and TypeScript with full-stack capabilities.
• 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 — translate technical decisions for leadership and collaborate across teams.
• Experience in financial services or 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 architecture/roadmap and debugging/shipping.
• Tech Stack: Python 3.12, FastAPI, React 19, TypeScript, AWS components.

Responsibilities

• Technical Leadership & Application Architecture — drive decisions and resolve challenges for internal teams.
• AI platform design, data modeling, API contracts, scaling strategy; enforce engineering standards.
• Lead design reviews and technical decision-making; establish AI governance framework.
• Own technical roadmap alignment between DevSecOps, RM, and Cognitive Engineering workstreams.
• Production Engineering & SRE — own reliability; define SLOs, incident response, self-healing automation.
• Observability strategy — Dynatrace, logs, dashboards, alerting, Dynatrace queries; on-call rotation.
• DevSecOps & Security — CI/CD architecture, security gates, IAM policies, network segmentation, cost optimization.
• AI & Cognitive Engineering — lead AI platform direction; LLM routing, prompt mgmt, budget control.
• Own Ally AI Gateway integration; multi-model orchestration; accelerate adoption across teams.

Skills

Python

TypeScript

AWS

AI/ML

Mentoring

Architecture

DevSecOps

Security engineering

LLM integration

Communication

Content governance

Terraform

CI/CD

Docker

Education

Bachelor's degree in Computer Science

Tools

Terraform

Docker

Dynatrace

AWS ECS

Lambda

DynamoDB

IAM

VPC

CloudFormation

GitLab CI

Job description

Tata Consultancy Services seeks an experienced Senior Engineering Lead to drive the AI platform, production reliability, and security architecture for our complex services in the Charlotte area. The role combines strategic architecture with hands-on coding, mentoring, and cross-team leadership.

You will shape data models, API contracts, and scaling strategies while ensuring robust governance, security controls, and compliance across financial services contexts.