Legal & Compliance Intern (READ CAREFULLY) About Lattice Systems Lattice Systems is an AI SaaS startup helping businesses build and deploy AI responsibly. We are committed to strong corporate governance, regulatory compliance, and secure business practices from the very beginning. Send your application to lattice.system@gmail.com Role Overview We are seeking a Legal & Compliance Intern to join our team. In this role, you will assist with corporate governance, government filings, contract management, and compliance research . This is a paid internship with flexible hours. You’ll gain hands-on experience working with the founding team and external legal counsel. Responsibilities • Maintain and organize company records (board minutes, shareholder docs, filings). • Support contract review and management (NDAs, customer/vendor agreements). • Assist with regulatory filings and government documentation. • Conduct research on AI-related regulations, privacy laws (GDPR/CCPA), and FTC/SEC guidance. • Support preparation of compliance policies (e.g., SOC 2, data security frameworks). • Help organize due diligence materials for investors and fundraising. Qualifications • Graduate in law, paralegal studies, business, or related field. • Interest in legal compliance, contracts, and government regulations. • Ability to handle confidential information with discretion. What We Offer • Paid internship • Direct mentorship from founders and external startup counsel. • Exposure to startup operations, legal frameworks, and AI compliance. • Opportunity for career growth as Lattice Systems scales. Expertise we are looking for • Legal Research • Contract Management • Regulatory Compliance • Corporate Governance • Data Privacy (GDPR/CCPA) • SaaS • Artificial Intelligence
About Lattice Systems Lattice Systems is an AI SaaS startup helping businesses harness artificial intelligence safely, securely, and at scale. We are a fast-growing team at the intersection of AI, software, and compliance. Send your application to [HIDDEN TEXT] Role Overview We are seeking a Legal & Compliance Intern to support our legal, compliance, and operations functions. Youll gain valuable exposure to startup governance, SaaS contracts, and the evolving AI regulatory landscape. This is a paid internship with flexible scheduling. Responsibilities Maintain and organize corporate records and contracts. Support review and management of NDAs, vendor/customer agreements. Research compliance and regulatory updates (AI, SaaS, data privacy). Assist with privacy/security compliance (SOC 2 preparation, policies). Prepare due diligence materials for investors. Collaborate with founders and external counsel. Qualifications Current student or recent graduate in law, paralegal studies, business, or related field. Strong organizational and research skills. Excellent written and verbal communication. Interest in technology, SaaS, or AI. Ability to handle sensitive information responsibly. What We Offer Paid internship. Mentorship from founders and external startup counsel. Hands-on experience with legal and compliance in a high-growth startup. Opportunity for future growth at Lattice Systems. Show more Show less
READ CAREFULLY (Minimum 2+ years of experience is needed) 📄 Job Description: Cloud / Infrastructure Engineer 📍 Location Chennai ⸻ 🏢 About Us We are building a Confidential AI Inference Platform — the trust and compliance layer for enterprise AI. ⸻ 🎯 Role Overview We are hiring a Cloud / Infrastructure Engineer to design and scale the hybrid cloud foundation of our inference platform. You will ensure that enterprises can deploy our product on AWS/GCP/Azure, hybrid, or on-prem, while meeting compliance, observability, and security standards. ⸻ 🛠 ️ Responsibilit ie s • Architect and deploy hybrid infrastructure for confidential AI inference: • Cloud VPCs (AWS Nitro Enclaves, Azure Confidential VMs, GCP Confidential VMs). • Build Kubernetes-based orchestration with strong isolation (gVisor, Kata Containers). • Implement policy-as-code for compliance (data residency, HIPAA/GDPR enforcement). • Integrate enterprise key management systems: AWS KMS, Azure Key Vault, HashiCorp Vault. • Own CI/CD pipelines (secure builds, code signing, image attestation). • Implement observability stack: metrics (Prometheus/Grafana), logging (ELK/Fluentd), security monitoring (Falco, SIEM integration). • Work with compliance team to map infra controls to SOC 2, ISO 27001, GDPR requirements. • Harden infrastructure against insider threats, privilege escalation, and misconfigurations . ⸻ ✅ Requirements (Technical Qualificatio ns) • Deep expertise in cloud infrastructure . • AWS (Nitro Enclaves, EKS, KMS) . • Azure (Confidential VMs, AKS, Key Vault). • GCP (Confidential VMs, GKE, KMS). • Strong knowledge of Kubernetes, containers, and networking. • Experience with IaC (Infrastructure as Code) : • DevSecOps mindset: CI/CD pipelines with security checks (SAST, DAST, image scanning). • Proficiency in Linux systems administration, networking, and storage. • Familiarity with compliance frameworks: SOC 2, ISO 27001, GDPR. • Strong background in cloud security: IAM, RBAC/ABAC, encryption, secrets management . ⸻ 🌟 Nice-to-Hav e • Experience deploying GPU clusters for ML inference. • Exposure to confidential computing hardware (Intel SGX/TDX, AMD SEV-SNP, NVIDIA H100 TEEs). • Contributions to cloud-native projects (CNCF ecosystem, open-source infra tools). • Background in enterprise infra for regulated industries (finance/healthcare) . ⸻
READ CAREFULLY (Minimum 2+ years of experience is needed) 📄 Job Description: Cloud / Infrastructure Engineer with proficiency in Golang 📍 Location Chennai ⸻ 🏢 About Us We are building a Confidential AI Inference Platform — the trust and compliance layer for enterprise AI. ⸻ 🎯 Role Overview We are hiring a Cloud / Infrastructure Engineer with proficiency in Golang to design and scale the hybrid cloud foundation of our inference platform. You will ensure that enterprises can deploy our product on AWS/GCP/Azure, hybrid, or on-prem, while meeting compliance, observability, and security standards. ⸻ 🛠 ️ Responsibilities • Architect and deploy hybrid infrastructure for confidential AI inference: • Cloud VPCs (AWS Nitro Enclaves, Azure Confidential VMs, GCP Confidential VMs). • Implement policy-as-code for compliance (data residency, HIPAA/GDPR enforcement). • Integrate enterprise key management systems: AWS KMS, Azure Key Vault, HashiCorp Vault. • Manage CI/CD pipelines. • Implement observability stack: metrics (Prometheus/Grafana), logging (ELK/Fluentd), security monitoring (Falco, SIEM integration). • Work with compliance team to map infra controls to SOC 2, ISO 27001, GDPR requirements. ⸻ ✅ Requirements (Technical Qualificatio ns) • Deep expertise in cloud infrastructure • Proficiency in Golang. • Strong knowledge of Kubernetes, containers, and networking. • Experience with IaC (Infrastructure as Code) • DevOps mindset: CI/CD pipelines with security checks (SAST, DAST, image scanning). • Proficiency in Linux systems administration, networking, and storage. • Familiarity with compliance frameworks: SOC 2, ISO 27001, GDPR. • Strong background in cloud security: IAM, RBAC/ABAC, encryption, secrets management ⸻ 🌟 Nice-to-Have • Experience deploying GPU clusters for ML inference. • Exposure to confidential computing hardware (Intel SGX/TDX, AMD SEV-SNP, NVIDIA H100 TEEs). • Contributions to cloud-native projects (CNCF ecosystem, open-source infra tools). •Background in enterprise infra for regulated industries (finance/healthcare) ⸻
READ CAREFULLY (Minimum 2+ years of experience is needed) 📄 Job Description: Cloud / Infrastructure Engineer with proficiency in Golang 📍 Location Chennai ⸻ 🏢 About Us We are building a Confidential AI Inference Platform — the trust and compliance layer for enterprise AI. ⸻ 🎯 Role Overview We are hiring a Cloud / Infrastructure Engineer with proficiency in Golang to design and scale the hybrid cloud foundation of our inference platform. You will ensure that enterprises can deploy our product on AWS/GCP/Azure, hybrid, or on-prem, while meeting compliance, observability, and security standards. ⸻ 🛠 ️ Responsibilities • Architect and deploy hybrid infrastructure for confidential AI inference: • Cloud VPCs (AWS Nitro Enclaves, Azure Confidential VMs, GCP Confidential VMs). • Implement policy-as-code for compliance (data residency, HIPAA/GDPR enforcement). • Integrate enterprise key management systems: AWS KMS, Azure Key Vault, HashiCorp Vault. • Manage CI/CD pipelines. • Implement observability stack: metrics (Prometheus/Grafana), logging (ELK/Fluentd), security monitoring (Falco, SIEM integration). • Work with compliance team to map infra controls to SOC 2, ISO 27001, GDPR requirements. ⸻ ✅ Requirements (Technical Qualificatio ns) • Deep expertise in cloud infrastructure • Proficiency in Golang. • Strong knowledge of Kubernetes, containers, and networking. • Experience with IaC (Infrastructure as Code) • DevOps mindset: CI/CD pipelines with security checks (SAST, DAST, image scanning). • Proficiency in Linux systems administration, networking, and storage. • Familiarity with compliance frameworks: SOC 2, ISO 27001, GDPR. • Strong background in cloud security: IAM, RBAC/ABAC, encryption, secrets management ⸻ 🌟 Nice-to-Have • Experience deploying GPU clusters for ML inference. • Exposure to confidential computing hardware (Intel SGX/TDX, AMD SEV-SNP, NVIDIA H100 TEEs). • Contributions to cloud-native projects (CNCF ecosystem, open-source infra tools). •Background in enterprise infra for regulated industries (finance/healthcare) ⸻