DevSecOps-AI SSDLC Security Engineer

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If you are a DevSecOps-AI SSDLC Security Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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Role:DevSecOps-AI SSDLC Security Engineer

Location: Hyderabad Experience:5-8 Years

Work Mode: Hybrid

Type: Contract to Hire

Notice Period:Immediate Joiners

Requirements

Description:

As a Security Engineer, you will:

• Integrate, configure, and optimize SAST, SCA, and DAST tools within CI/CD pipelines to automate security testing across build, test, and release stages (including quality gates and exception workflows).

• Perform static, dynamic, and open-source dependency assessments to identify vulnerabilities including OWASP Top 10 risks, insecure libraries, exposed secrets, misconfigurations, and software supply-chain weaknesses.

• Execute API security testing (REST/GraphQL) including authentication/authorization validation (OAuth2/OIDC/JWT), input validation, rate limiting/abuse cases, and broken object/function level authorization (BOLA/BFLA), and translate results into developer-ready fixes.

• Analyze scan results, remove false positives, prioritize findings based on exploitability and business impact, and provide clear, actionable remediation guidance (secure coding patterns, compensating controls, and verification steps).

• Work hands-on with developers, DevOps engineers, architects, and client stakeholders to embed secure coding, secure design, and shift-left security practices, including playbooks, office hours, and remediation sprints.

• Support threat modeling and security design reviews; convert threats into actionable security requirements, test cases, and engineering backlog items aligned to delivery timelines.

• Track vulnerabilities through closure, validate remediation (re-scan, proof of fix, and regression checks), and ensure issues are managed in line with client policy, risk tolerance, and SLA expectations.

• Implement additional DevSecOps controls such as IaC scanning, secrets detection, container image scanning, and Kubernetes security checks (where applicable), including policy-as-code to prevent insecure deployments.

• Strengthen software supply-chain security by supporting SBOM generation/consumption, dependency hygiene, and build/release integrity controls (e.g., artifact signing/verification and provenance where applicable).

• Automate repeatable security tasks using scripting (e.g., Python/Bash) and integrations (APIs/webhooks) to improve scan reliability, reporting, and developer workflow adoption.

• Design and build AI agents / agentic workflows for AppSec automation (e.g., triage, false-positive suppression, secure code review assistance, threat-model generation, remediation assistance), ensuring appropriate guardrails, logging, and human-in-the-loop validation.

• Perform current-state assessments of client DevSecOps and emerging AISecOps practices against industry standards; provide prioritized recommendations and an implementation roadmap.

• Perform security testing across modern application surfaces—code, APIs, cloud, containers/Kubernetes—and, where applicable, AI/ML pipelines (e.g., RAG data flows, model integration points, and tool/function calling) using a combination of automated and manual techniques.

• Produce security assessment reports, dashboards, trend analysis, and root-cause insights for technical and non-technical stakeholders.

• Contribute to secure SDLC standards aligned to recognized verification frameworks such as OWASP ASVS

• Stay current on emerging threats, AppSec tooling trends, software supply-chain risks, and new attack surfaces introduced by AI-enabled applications and agentic workflows.

Benefits

Benefits

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