Solutions Support Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Investigate and resolve customer technical challenges related to cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity & access management, network analysis, and data security.

• Troubleshoot issues involving cloud connectors and integrations across platforms such as AWS, Azure, GCP, OCI, and SaaS, addressing IAM/permissions problems, network connectivity, API authentication, and scanning infrastructure.

• Diagnose security issues during workload scanning and runtime, including outpost deployment, sensor configuration, registry scanning, malware detection, and file integrity monitoring.

• Analyze vulnerability findings by triaging false positives, validating detection accuracy, investigating SBOM/SCA results, and evaluating secret detection and patch management coverage.

• Support shift-left security workflows encompassing CI/CD scanning, IaC security, admission controllers, Kubernetes connectors, and code/version control scanning.

• Design and implement scalable automation for the support offering, utilizing AI agents, agentic workflows, and tools to enhance triage accuracy and resolution efficiency.

• Participate in an on-call rotation to provide after-hours, holiday, and weekend support coverage.

⛳️ Requirements

• Over 5 years of hands-on technical experience in customer support, technical support, system administration, or a similar customer-facing role.

• At least 2 years of experience working with cloud platforms (AWS, Azure, GCP), including IAM, networking (VPCs, security groups, firewalls), and essential compute/storage services.

• More than 1 year of hands-on experience in deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications.

• Strong grasp of cloud security fundamentals: identity and access management, network segmentation, compliance frameworks, and security posture assessment.

• Proficient in reading and debugging code in one or more languages such as Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL.

• Experienced with command-line tools and Linux operating system environments.

• Familiarity with the current AI landscape, including LLM architectures and the integration of AI-driven tools into technical workflows.

• Experience in vulnerability management, SBOM/SCA analysis, or CVE triage workflows (Nice to Have).

• Hands-on experience with threat detection, runtime security, or SIEM/SOAR integrations (Nice to Have).

• Experience in building or supporting agentic workflows, RAG architectures, or AI-driven automation (Nice to Have).

• Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelines (Nice to Have).

• Experience with GraphQL or REST API debugging and integration (Nice to Have).

• Background in compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA) (Nice to Have).

🏝️ Benefits

• Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship.