Security Engineering Tech Lead Jobs

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Job Description We're seeking a Senior IT Platform & Automation Engineer who treats internal infrastructure like a product—not a firefighting exercise. This is not a traditional helpdesk or "break-fix" role. You'll be the architect behind our internal employee experience, acting as the connective tissue between our office network, collaboration services, security stack, and core business systems (People Tech, CRM, and Engineering tools). If you prefer writing Python scripts over manually resetting passwords, and if you get excited about connecting Claude AI to Greenhouse via custom Slack workflows, we want to talk to you. This role is NOT: A traditional helpdesk position. You won't be resetting passwords or shipping laptops. A pure networking role. You'll touch networks, but automation is the priority. A machine learning engineer role. You'll experiment with AI, but you won't build vector databases or train models. What You will Do Identity, Endpoint & Network (The Foundation) Identity & Access Management: Own our IdP (Okta/Auth0). Implement and automate SSO, MFA enforcement, and SCIM provisioning across all SaaS tools. Enforce zero-trust principles everywhere. Endpoint Lifecycle: Own the full hardware and MDM lifecycle. Automate device provisioning, configuration, and secure deployment using Jamf and Intune. Build zero-touch onboarding workflows. (Note: You will own the automation and security profiles; physical device shipping/fulfi

ABOUT THE PROJECT MANAGER ROLE: WIN is looking for a proactive and execution-focused Project Manager who can drive projects end-to-end, remove blockers quickly, manage timelines efficiently, and ensure strong collaboration across teams. We are looking for someone who can lead from the front, a structured thinker who understands technology well enough to hold teams accountable, provide meaningful feedback, and ensure smooth execution without unnecessary process overhead. KEY RESPONSIBILITIES: Organize and manage end-to-end execution of multiple SaaS-based projects and priorities with strong ownership. Define project scope, timelines, deliverables, dependencies, and responsibilities across teams. Collaborate closely with product, engineering, design, QA, and business teams to ensure smooth execution. Define and manage project roadmaps in coordination with stakeholders and development teams. Drive day-to-day project execution and ensure timely delivery across all phases. Identify blockers, risks, and operational gaps proactively and ensure timely resolution. Maintain and manage release sheets, sprint trackers, project documentation, and status reports. Communicate project progress, timelines, dependencies, and risks clearly to stakeholders and leadership. Facilitate effective collaboration and alignment between cross-functional teams. Lead project planning meetings, sprint reviews, stand-ups, and delivery discussions. Ensure accountability across teams through regular follow-ups and structured execution processes. Review workflows, suggest process improvements, and implement best practices in project planning and execution. Take a hands-on approach when required by diving deep into solutions. Ensure teams follow quality standards, security practices, and scalable execution methodologies. Balance execution speed with quality and operational efficiency. REQUIRED QUALIFICATIONS: 5+ years of experience in

ABOUT THE PROJECT MANAGER ROLE: WIN is looking for a proactive and execution-focused Project Manager who can drive projects end-to-end, remove blockers quickly, manage timelines efficiently, and ensure strong collaboration across teams. We are looking for someone who can lead from the front, a structured thinker who understands technology well enough to hold teams accountable, provide meaningful feedback, and ensure smooth execution without unnecessary process overhead. KEY RESPONSIBILITIES: Organize and manage end-to-end execution of multiple SaaS-based projects and priorities with strong ownership. Define project scope, timelines, deliverables, dependencies, and responsibilities across teams. Collaborate closely with product, engineering, design, QA, and business teams to ensure smooth execution. Define and manage project roadmaps in coordination with stakeholders and development teams. Drive day-to-day project execution and ensure timely delivery across all phases. Identify blockers, risks, and operational gaps proactively and ensure timely resolution. Maintain and manage release sheets, sprint trackers, project documentation, and status reports. Communicate project progress, timelines, dependencies, and risks clearly to stakeholders and leadership. Facilitate effective collaboration and alignment between cross-functional teams. Lead project planning meetings, sprint reviews, stand-ups, and delivery discussions. Ensure accountability across teams through regular follow-ups and structured execution processes. Review workflows, suggest process improvements, and implement best practices in project planning and execution. Take a hands-on approach when required by diving deep into solutions. Ensure teams follow quality standards, security practices, and scalable execution methodologies. Balance execution speed with quality and operational efficiency. REQUIRED QUALIFICATIONS: 5+ years of experience in

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectura

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who you are You are an experienced Platform Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — p

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. About the Role As a Site Reliability Engineer at Ema, you will own the stability, availability, and operational health of our agentic AI platform across customer environments. You'll work closely with Engineering and DevOps to provision infrastructure, drive deployment excellence, and keep production running at the quality bar our enterprise customers expect — 99.9%+ uptime, proactive incident response, and continuous improvement. What You'll Do Infrastructure & Deployment Design and provision cloud infrastructure (GCP, Azure, AWS) tailored to customer environments, with security, scalability, and compliance built in Execute on-call SaaS deployments with minimal downtime; automate and optimize deployment workflows end-to-end Production Stability & Observability Monitor logs, alerts, and metrics to maintain SLA commitments and catch issues before they escalate Diagnose and resolve production incidents with speed and rigor; drive root cause analysis and permanent fixes Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks; deliver clear system health reporting to internal and customer stakeholders Documentation & Knowle

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE You will be the pivotal, end-to-end owner driving the product lifecycle for our cutting-edge data center storage solutions. Your mission is to translate product vision into Mass Production (MP) reality, managing all aspects of the hardware (Mechanical and Electrical Engineering) and the full software stack (firmware, OS). This highly visible role requires you to orchestrate global, cross-functional engineering, manufacturing, and supply chain teams while leading executive-level phase gate reviews to ensure our products deliver optimal performance and compliance, on time and on budget. WHAT YOU'LL DO End-to-End Release Ownership: Own the overall release plan, including scope, milestones, and dependencies. You’ll be the primary point of contact for release lines across Product, Engineering, QA, and Security. Strategic Program Leadership: Manage multiple concurrent workstreams involving cross-functional stakeholders. You will own the "big picture," ensuring that high-level technical architecture aligns with execution. Release Integrity: Own release branch health metrics. You’ll lead bug scrubs, triage critical issues, and define the criteria for merging new payloads (leveraging your experience with Git-based workflows). Operational Excellence: Drive the Product Lifecycle (PLC) phase exit reviews (Phases 0–3). You will define exit criteria, ensure they are met, and formally drive approvals. Risk & Conflict Resolut

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE This role is for an individual contributor joining one of our five Everpure Resilience engineering teams within the Data & Digital Experience (DDX) organization. The product has been running for 3 years and operates like a startup within DDX. The teams are primarily composed of senior-level engineers who take full ownership of their workstreams - from early requirements definition (in close collaboration with Product Managers) to final delivery. Strong communication and collaboration skills are essential, as engineers work autonomously in a highly cross-functional environment. WHAT YOU'LL DO Architect & Deliver: Own the end-to-end design, development, and operation of high-throughput data processing services between edge devices and the Everpure cloud platform. Product Collaboration: Partner with Product Managers to translate complex requirements into scalable, resilient system architecture from concept to production. Performance & Scale: Drive continuous system improvements—experimenting with new tech to boost performance, security, and cost-efficiency for real-time data flows. Ship Fast & Safely: Utilize pragmatic testing, robust CI/CD, and automation to maintain high deployment velocity without sacrificing stability. System Integration: Lead the resolution of complex interoperability challenges between new and legacy components to ensure high availability across all regions. WHAT YOU BRING Distr

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our agile team to shape and deliver the industry’s premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature development at the intersection of Data and AI, partnering directly with NVIDIA engineering teams to integrate cutting-edge AI technologies. Operating with a high-impact startup mindset, you will drive scalable architectural solutions that empower enterprise customers with seamless, highly performant data retrieval. WHAT YOU'LL DO Architect & Scale Enterprise RAG Infrastructure : Design, build, and optimize robust full-stack features using Go and Python, ensuring enterprise clients retrieve, process, and query complex data with ultra-low latency. Pioneer Cutting-Edge GenAI Integration : Collaborate directly with NVIDIA engineering teams to integrate state-of-the-art AI tooling and model acceleration libraries, expanding platform capabilities across the evolving GenAI ecosystem. Drive End-to-End Product Ownership : Lead features from concept to production deployment—developing intuitive frontend interfaces and resilient backend microservices—to turn complex product requirements into seamless enterprise capabilities. Elevate System Performance & Quality : Establish technical standards, automated testing pipelines, and performance benchmarks to ensure high availability, security, and enterprise-grade reliability across the entir

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Digital Experience (DX) business unit to deliver the next generation of intelligent, cloud-native fleet management solutions for our customers. You will contribute to our mission of simplifying operations by building scalable SaaS platforms that leverage AI, security, and automation . This role involves working across the full application lifecycle, from Pure IAM to Pure1 Manage , collaborating with cross-functional teams to translate business needs into resilient, production-ready systems. WHAT YOU'LL DO Own the end-to-end design, development, and operation of mission-critical processing services , ensuring seamless, secure, and compliant data flow between edge devices and the Pure1 cloud platform. Partner with Product and Architecture teams to translate complex requirements into scalable, resilient architectural designs that drive significant organizational impact from initial concept through to production deployment. Drive continuous innovation by experimenting with new technologies, platform ecosystems, and architectural patterns to improve system performance, security, and cost-effectiveness for petabytes of real-time data. Maintain a quality-first mindset throughout the entire software development lifecycle, emphasizing comprehensive unit testing, thorough code reviews, and robust Continuous Integration/Continuous Deployment (CI/CD) pipelines. Lead the resolution of complex inter-operab

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Lead Integration Engineer on the Business Systems Engineering team, you will collaborate with cross functional teams to understand requirements and synthesize them to build & enhance globally scalable solutions. This role requires deep technical expertise in integration architecture and is responsible for identifying issues, building & testing integrations, and administering Workday and other People platforms. You will wear multiple hats; modifying business processes, complex reporting, and providing end-user support. Build the future of People Tech: Build scalable, AI-ready solutions that automate end-to-end HR processes and unlock new capabilities. Establish and evolve automation and Gen AI frameworks purpose-built for the employee experience. Deliver technical excellence: Define system boundaries, data flows, and integration standards and design reviews. Establish integration patterns, reusable code libraries, and architectural standards; implement monitoring, logging, and alerting for all HRIS systems. Build scalable integrations: Design event-driven integration patterns, RESTful/SOAP APIs, and data pipelines connecting HRIS Systems across our technology ecosystem; leveraging your skills in Studio, Cloud Connect, EIB, iLoad, Conversion, Core Connectors, XSLT, RaaS, and Web Services. Ensure security & compliance: Build secure architectures using OAuth 2.0, encryption, and maintain SOX compliance across all integrations. Drive impact & Collaboration: Partner

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Global Support & Partnerships team is a critical and unique part of helping Lyft succeed in our purpose to Serve and Connect. We support Lyft's international growth by developing integration platforms that seamlessly link global customers to an exceptional customer care experience. We go beyond simply supporting customers; we build the foundational infrastructure that turns every support interaction into a moment of genuine connection. Whether supporting our established North American community or welcoming new users worldwide, we ensure a unified, reliable, and efficient experience for riders, drivers, applicants and support agents alike. We are looking for an experienced technical leader who can support our global ambition by designing, owning, and scaling the Global Support Platform. Responsibilities: Set the technical vision and strategy for a rapidly evolving product area, making high-judgment calls on architecture and technology direction Drive the adoption of AI and machine learning solutions to optimize customer support workflows and enhance operational efficiency across the platform. Lead a team of talented engineers who ship code and tackle hard engineering problems, maintaining a high bar for technical excellence Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Drive the responsible adoption of AI development tools across engineering teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security. Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team. Establish best practices f

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Engineering Opportunity We are looking for an experienced Staff Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a technical leader within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud s

About the opportunity As an IT Solutions Engineer (Google Cloud) within N26 Internal IT, you will be the primary architect, engineer, and guardian of our Google Workspace and Google Cloud Platform (GCP) corporate ecosystem. We aren’t looking for traditional system administrators. We need a modern, engineering-focused professional who treats our Google environment as a programmable platform. You will bridge the gap between corporate productivity, identity management, and cloud infrastructure—ensuring our global workforce is secure, highly automated, and empowered by next-generation AI integrations. In this role, you will: Infrastructure & Governance: Manage the full lifecycle of our enterprise Google Workspace organization. Design and maintain complex GCP project structures, organizational units (OUs), Cloud Identity, and Chrome Enterprise across the company. Automation & Development: Eliminate manual overhead by building robust, custom automation workflows. Leverage Google Apps Script, Python, and REST APIs to seamlessly integrate Workspace with internal tools, HRIS platforms, and Identity providers. Next-Gen Productivity: Lead the rollout, adoption, and ongoing optimization of Gemini Enterprise, driving organizational productivity through emerging AI capabilities. Security & Compliance: Design and enforce Data Loss Prevention (DLP) rules, Context-Aware Access (CAA), and secure BYOD (Bring Your Own Device) policies that balance "Security first" with "Employee Experience." eDiscovery & Compliance: Serve as the technical owner for Google Vault. Define and manage data retention policies, execute precise legal holds, and lead matter-based exports to meet strict financial regulatory and audit requirements. What you need to be successful: Google Workspace & GCP Expertise: Deep, hands-on experience administering Google Workspace at an enterprise scale, combined with solid foundational knowledge of GCP (IAM hierarchies, Service Accounts, VPCs, and Organi