Senior AI DevSecOps Engineer - Secure CI/CD & Cloud

The Elevance Health Companies, Inc.

Indianapolis (IN)

Hybrid

USD 140,000 - 180,000

Full time

7 days ago

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Job summary

Elevance Health in Indianapolis is seeking an AI DevSecOps Senior Engineer to lead secure-by-design practices across CI/CD, cloud-native platforms, and AI-assisted development workflows, embedding scalable security controls while maintaining developer velocity.

You will partner with application engineering, cloud and platform teams to drive secure SDLC, vulnerability management, risk assessment methodologies, and CNAPP tooling, enabling secure code in AI-enabled applications.

Qualifications

Requires BS/BA in information Technology or related field and a minimum of 8 years experience in systems administration and security aspects of information systems, access management and network security technologies.
Hands-on DevSecOps in CI/CD pipelines at scale and experience with cloud security platforms.

Responsibilities

Define and implement secure SDLC practices, including automated testing, threat modeling, and secure coding standards.
Drive vulnerability management strategy, including risk-based prioritization and integration into developer workflows.
Lead development and execution of risk assessment methodologies to fit business, regulatory, and technical environment considerations.
Lead the development of requirements, system architecture, and software design of security products and services.
Lead system and network architecture support for information and network security technologies.
Serve as a technical advisor and escalation point for complex security and integration challenges.
Develop security incident response plans and strategies.
Provide trouble resolution and serve as point of technical escalation on complex problems.
Act as a subject matter expert among peers, with manager and senior management.
Lead the design and implementation of DevSecOps solutions integrated into CI/CD pipelines (GitHub, GitLab, Jenkins).
Integrate and tune AppSec tools (SAST, DAST, SCA, container scanning) for scalable pipeline adoption.
Own and optimize CNAPP platforms (e.g., Wiz, Prisma Cloud) to improve cloud security posture and workload protection.
Partner with engineering teams to reduce vulnerability backlog and MTTR.
Define KPIs and reporting for security posture, pipeline coverage, and risk reduction.
Establish guardrails for AI-generated code security, including validation of outputs and mitigation of risks such as insecure code patterns and data exposure.
Embed security controls into AI-enabled applications and APIs, addressing emerging risks (e.g., prompt injection, model misuse).
Create presentations and seek IT management approval and acceptance of significant replacements or reconfigurations of major security systems serving the Enterprise.