Senior Solutions Support Engineer

Accountabilities

• • Investigate and resolve complex customer issues across cloud security posture management, vulnerability scanning, threat detection, container and Kubernetes security, identity and access management, network analysis, and data security.

  • Troubleshoot cloud integrations and connectors across AWS, Azure, GCP, OCI, and SaaS platforms, including IAM and permissions, network connectivity, API authentication, and scanning infrastructure.

  • Diagnose workload scanning and runtime security issues involving deployment components, sensors, container and registry scanning, malware detection, and file integrity monitoring.

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

  • Support shift-left security workflows involving CI/CD security scanning, Infrastructure-as-Code security, admission controllers, Kubernetes connectors, and code or version-control scanning.

  • Use Linux, command-line tools, APIs, logs, application behavior, and code-level debugging to identify root causes and develop effective technical solutions.

  • Design and implement automation that improves support scalability, including AI agents, agentic workflows, and other tools that increase triage accuracy and resolution efficiency.

  • Collaborate with customers and internal technical teams to communicate findings, explain solutions, and drive complex issues toward resolution.

  • Participate in an on-call rotation providing after-hours, weekend, and holiday technical support when required.

  • Continuously identify opportunities to improve troubleshooting processes, documentation, automation, and overall support quality.

  Requirements

  • 5+ years of hands-on technical experience in customer support, technical support, systems administration, solutions engineering, or another customer-facing technical role.

  • 2+ years of experience working with major cloud platforms such as AWS, Azure, or GCP, including IAM, networking, VPCs, security groups, firewalls, compute, and storage services.

  • At least 1 year of practical experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications.

  • Strong understanding of cloud security principles, including identity and access management, network segmentation, compliance frameworks, security posture management, and cloud security assessment.

  • Ability to read, understand, and troubleshoot code or configuration in one or more technologies such as Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL.

  • Strong proficiency with Linux environments and command-line troubleshooting tools.

  • Familiarity with the current AI ecosystem, including LLM architectures and the application of AI-powered tools within technical workflows.

  • Strong analytical and troubleshooting abilities, with the capacity to investigate complex issues spanning multiple technologies and infrastructure layers.

  • Excellent communication and customer-facing skills, with the ability to explain technical problems and solutions clearly to different audiences.

  • Experience with vulnerability management, SBOM/SCA analysis, or CVE triage is an advantage.

  • Hands-on exposure to threat detection, runtime security, SIEM/SOAR integrations, or related security operations is desirable.

  • Experience building or supporting agentic workflows, RAG architectures, or AI-powered automation is a plus.

  • Familiarity with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Helm and with CI/CD pipelines is beneficial.

  • Experience debugging or integrating GraphQL or REST APIs is advantageous.

  • Knowledge of security and compliance frameworks such as CIS, NIST, SOC 2, PCI-DSS, or HIPAA is a plus.

  • Experience using support and ticketing platforms such as ServiceNow, Jira, or Zendesk in a technical support environment is desirable.

  • Legal authorization to work in India without requiring visa sponsorship.

  Benefits

  • Remote working opportunity from India.

  • Opportunity to work on complex cloud-native security challenges across major public cloud environments.

  • Exposure to advanced cloud security, Kubernetes, vulnerability management, runtime protection, and AI-driven technical operations.

  • Opportunity to build and implement AI-powered automation and agentic workflows that improve technical support at scale.

  • Collaboration with a global team of experienced technical and security professionals.

  • Opportunity to develop expertise across cloud infrastructure, application security, security operations, and customer-facing engineering.

  • Participation in meaningful technical projects with opportunities to improve support processes, tooling, and automation.

  • A dynamic environment focused on continuous learning, technical innovation, and solving complex customer problems.