Staff Security Governance Engineer, Policies & Standards

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a member of the IP Protection team, you will build and operate data protection solutions that safeguard Micron's intellectual property throughout its lifecycle. You will partner with team members across all of Micron's business areas to identify and reduce data exposure risks, improve data governance, and enable secure collaboration both inside and outside the company. Responsibilities: Serve as the enterprise DLP authority, developing and managing data loss prevention policies spanning devices, electronic messaging, internet activities, cloud applications, and storage platforms. Develop and optimize advanced detection capabilities for source code, hardware designs, algorithms, product roadmaps, and other intellectual property using regex, fingerprints, EDM/IDM, and ML-based classifiers. Continuously tune DLP policies to reduce false positives and negatives while implementing automated remediation and tiered response workflows. Monitor and protect against data ex-filtration across key egress channels, including USB devices, email, SaaS applications, personal webmail, messaging platforms, generative AI tools, and cloud sync services. Develop detections for anomalous access and ex-filtration activities, such as bulk downloads, repository mirroring, and unusual after-hours behavior. Author and maintain information protection standards, DLP governance, runbooks, exception processes, and data points to measure program health an

We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Excep

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. What You'll Do Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across reg

About the role Adobe’s Security Data Platform team builds and operates a petabyte-scale security data lakehouse that turns enterprise telemetry into trusted data for threat detection, investigations, compliance, and security analytics. As a Staff Security Data Engineer, you will own full-system designs and lead critical engineering initiatives across ingestion, storage, governance, orchestration, and data serving. This is a hands-on individual contributor role: you will write and review production code, build infrastructure, define test strategy, fix complex failures, and work with other engineers to deliver the architecture you help shape. You will partner with Security Operations, Threat Intelligence, Compliance, Security Engineering, and infrastructure teams to resolve technical tradeoffs and deliver reliable, cost-effective platform capabilities. Your impact will come through engineering delivery, sound architectural decisions, and helping others become stronger technical leaders. Help us evolve our team from petabyte scale toward exabyte scale! Core responsibilities Platform architecture and engineering Own end-to-end designs that shape the Security Data Platform’s fundamental architecture on Databricks and AWS, using Spark, Delta Lake, and Unity Catalog. Translate ambiguous needs into design proposals, implementation plans, and production capabilities. Build and evolve distributed batch and streaming pipelines for EDR telemetry, network logs, identity events, cloud audit logs, and new security data sources. Design for throughput, fault tolerance, replay, schema evolution, and sub-minute freshness where use cases require it. Write maintainable Python and SQL, develop complex platform features, and refactor unreliable code. Establish reusable engineering patterns, lead code and design reviews, and own test strategy and automation choices across pipelines and infra

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a well rounded Staff AI Security Engineer to join our growing Information Security & Risk team. In this role, you will be a member of our newly formed Security Solutions team. This team is at the forefront of driving organization-wide security enhancements through high-impact, project-driven initiatives with a heavy focus on AI. If you are looking for an opportunity to build from the ground up, influence security architecture, and meaningfully elevate Addepar’s overall security posture, this is the role for you. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Focus on AI Security in the following areas: Innovation & Strategy - Keep up with the latest trends, models and innovations in all facets of AI Security and advise on proper architectures Platform AI Security - Working with our Engineering and Application Security teams to ensure our products are leveraging AI in a secure manner across our platform. AI Enablement -Partnering with our Archi

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.