Job Title

Headquartered in Boston, USA SecLogic is building AI Powered Cloud Application Detection & Response (CADR) platform covering reactive & proactive security for the Cloud & Kubernetes environments.The platform analyze & respond to threats & attacks leveraging both technical & business risks and provide holistic & contextual risk and security gaps with hyper remediations.Role Overview We're seeking a Cloud & Kubernetes Engineer to help build and scale our cloud-native security platform. You'll work on core infrastructure powering runtime threat detection, Kubernetes security controls, and multi-cloud deployments at enterprise scale.Key Responsibilities Kubernetes Security features in the product. Design and implement Kubernetes admission control policies and validation webhooks Build runtime security monitoring solutions across Kubernetes clusters Build automated compliance scanning and policy enforcement systems Develop Kubernetes security features including RBAC enforcement, network policies, and pod security standardsMulti-Cloud InfrastructureArchitect and maintain cloud infrastructure across AWS, GCP, and Azure Implement cross-cloud identity federation and access management Build cost optimization and budget alerting systems for cloud resources Design scalable deployment strategies for security sensors at enterprise scalePlatform EngineeringDevelop Infrastructure as Code for repeatable, version-controlled deployments Build CI/CD pipelines for containerized workloads Implement service mesh architectures for microservices security Design observability and monitoring solutions for distributed systemsSecurity IntegrationIntegrate runtime security data with vulnerability management pipelines Build API security monitoring capabilities for network traffic inspection Develop attack path analysis systems mapped to security frameworks Implement malware enforcement mechanisms with quarantine capabilitiesRequired QualificationsTechnical Skills2+ years of hands-on Kubernetes experience (production environments) Strong expertise in at least two major cloud providers (AWS, GCP, Azure) Proficiency with Infrastructure as Code (Terraform, Pulumi, or similar) Experience with container orchestration, Docker, and containerization patterns Understanding of Linux systems, networking, and security fundamentals Programming experience in Go, Python, or similar languagesCloud-Native TechnologiesDeep knowledge of Kubernetes architecture, networking (CNI), and storage (CSI) Experience with service mesh technologies (Istio, Linkerd) Familiarity with eBPF concepts and observability tools Understanding of cloud security principles (CSPM, CWPP, CIEM)DevOps & AutomationExperience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) Strong scripting and automation skills Experience with configuration management tools Knowledge of monitoring and logging stacks (Prometheus, Grafana, ELK)Nice to Have Experience with eBPF development or eBPF-based security tools Background in cybersecurity or cloud security platforms Familiarity with compliance frameworks (ISO 27001, SOC 2, CIS Benchmarks) Experience with distributed data systems (Elasticsearch, MongoDB, PostgreSQL) Knowledge of AI/ML infrastructure deployment Contributions to open-source cloud-native projects Kubernetes certifications (CKA, CKAD, CKS)Type: Full-timeReports to: Engineering Manager / Co-FounderInterested candidates should demonstrate strong problem-solving skills, attention to detail, and passion for building secure, scalable cloud infrastructure. Experience in the cybersecurity domain is a strong plus.Special Skills Passionate about building a world class security application Go getter attitude to lead in a startup Ability to think like a design thinkerTo ApplySUBMISSION OF A RESUME IS NOT A GUARANTEE THAT YOU WILL RECEIVE AN INTERVIEW APPOINTMENTS ARE SUBJECT TO OVERSIGHT APPROVALSalary: No bar for the right candidate.Work Location: Noida