Responsibility
Job Title: Security Ticket Resolution Engineer
Experience: 4–8 Years
Employment Type: Full-Time
Location: Remote / As per business requirement
Job Summary
We are seeking a Security Ticket Resolution Engineer with 4–8 years of experience to analyze, troubleshoot, and remediate application and infrastructure security findings. The ideal candidate should have strong expertise in Java, AWS, Kubernetes, and Python, along with experience leveraging Claude AI for secure software development and vulnerability remediation.
Key Responsibilities
- Analyze, triage, and resolve security tickets from SAST, DAST, SCA, container, cloud, and infrastructure security tools.
- Investigate and remediate vulnerabilities in Java applications and cloud-native services.
- Resolve AWS and Kubernetes security findings and implement secure configurations.
- Develop Python scripts to automate security investigations and remediation tasks.
- Collaborate with Developers, DevSecOps, and Security teams to resolve vulnerabilities within defined SLAs.
- Validate remediation through security testing and document root cause analysis.
Required Skills
Security & Development
- Strong Java development and debugging skills.
- Hands-on experience with AWS services, including IAM, EC2, EKS, Lambda, S3, VPC, KMS, and CloudWatch.
- Strong Kubernetes administration and security knowledge.
- Good Python programming and automation skills.
- Knowledge of OWASP Top 10, secure coding practices, and vulnerability remediation.
- Experience with security tools such as Checkmarx, Veracode, SonarQube, Snyk, Prisma Cloud, Trivy, or equivalent.
- Experience working with Git, CI/CD, Linux, REST APIs, and Microservices.
Claude AI Skills – Mandatory
- Ability to write effective Claude prompts for code analysis, security remediation, debugging, and automation.
- Create structured Claude workflows to analyze security findings and generate remediation recommendations.
- Use Claude for secure code reviews and vulnerability analysis.
- Leverage Claude for root cause analysis, documentation generation, and code optimization.
- Evaluate and validate AI-generated code before production deployment.
- Understanding of prompt engineering, context management, and responsible AI usage.
Preferred Skills
- Exposure to Terraform or CloudFormation.
- AWS, Kubernetes, or Security certifications are preferred.
- Experience working in DevSecOps environments.