Principal DevSecOps & AI Enabled SDLC

BMC Software; Pune District; On-site; INR 1,800,000 - 3,500,000; Full time

Job summary

BMC Software is seeking a Principal, DevSecOps AI Enabled SDLC to drive enterprise-wide transformation with secure AI-powered practices. You will lead the adoption of AI workflows and ensure high-quality releases.

The ideal candidate has deep DevSecOps experience, strong expertise with GitHub tools, and a proven track record in implementing automation in software workflows.

This role is based in Pune District, Maharashtra, Oracle, and offers the opportunity to impact enterprise-level changes.

Qualifications

• Deep experience in DevSecOps, CI/CD platforms, and modern SDLC practices.
• Strong hands-on expertise with GitHub ecosystem (GitHub, Actions, Copilot, Advanced Security).
• Proven track record in embedding AI/automation in software delivery workflows.

Responsibilities

• Execute enterprise DevSecOps strategy through standardized pipelines.
• Build and scale secure, automated CI/CD pipelines and development workflows.
• Drive organization-wide adoption of DevSecOps best practices.

Skills

Deep experience in DevSecOps

Expertise with GitHub ecosystem

Application security knowledge

Hands-on CI/CD tools experience

Strong stakeholder management

Tools

GitHub

Jenkins

Job description

Join BMC as a Principal, DevSecOps AI Enabled SDLC to drive enterprise-wide transformation by embedding secure, AI-powered, and automated practices across the software delivery lifecycle. This role is pivotal in translating strategy into execution standardizing pipelines, enhancing developer productivity, and ensuring secure, compliant, and high-quality releases at scale. You will lead the adoption of AI-enabled and agentic workflows, positioning BMC at the forefront of modern software engineering innovation.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

• Execute enterprise DevSecOps strategy through standardized pipelines, architectures, and delivery roadmaps
• Build and scale secure, automated CI/CD pipelines and development workflows
• Drive organization-wide adoption of DevSecOps best practices and shift-left security
• AI Agentic SDLC Enablement
• Embed AI across SDLC (code quality, security analysis, testing, release validation)
• Implement AI-driven vulnerability prioritization and remediation
• Enable agentic workflows to automate SDLC and operational processes
• Establish governance and guardrails for responsible AI adoption
• Microsoft Ecosystem Leadership
• Leverage GitHub, GitHub Actions, Copilot, and GitHub Advanced Security
• Integrate Microsoft and third-party tools into standardized pipelines
• Align DevSecOps practices with broader cloud and workplace strategies
• Platform, Security Governance
• Implement SAST, DAST, SCA, IaC scanning, and secrets management
• Define governance frameworks, guardrails, and compliance mechanisms
• Rationalize toolsets for efficiency and scalability
• Metrics Continuous Improvement
• Track KPIs (pipeline adoption, remediation time, compliance, developer experience)
• Use data and AI insights to drive ongoing improvements
• Deliver executive-level insights and reporting
• Change Leadership
• Drive adoption through enablement, coaching, and documentation
• Act as a trusted advisor across Engineering, Security, and Product teams
• Translate technical initiatives into business outcomes

To ensure youre set up for success, you will bring the following skillset experience:

• Deep experience in DevSecOps, CI/CD platforms, and modern SDLC practices
• Strong hands-on expertise with GitHub ecosystem (GitHub, Actions, Copilot, Advanced Security)
• Proven track record in embedding AI/automation in software delivery workflows
• Strong application security knowledge (OWASP, secure SDLC, supply chain security)
• Experience implementing shift-left security, quality gates, and policy enforcement
• Hands-on CI/CD tools experience (GitHub, Jenkins)
• Ability to operate in complex, enterprise-scale environments
• Strong stakeholder management, communication, and change leadership skills

Whilst these are nice to have, our team can help you develop in the following skills:

• Experience defining enterprise DevSecOps and AI governance frameworks
• Exposure to regulated / audit-driven environments
• Knowledge of Microsoft Graph APIs for workflow automation
• Background in cloud-native architecture and platform engineering
• Experience influencing large, federated engineering organizations
• Advanced use of AI-assisted development and agentic workflows