Platform Engineering Lead Jobs

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude is looking for a Senior Salesforce Platform Engineer to support the scaling and ongoing evolution of our go-to-market (GTM) systems. You'll own end-to-end visibility into our Salesforce platform, from day-to-day configuration and support to long-term architecture and improvement. As part of our GTM Engineering team, you’ll partner with Sales, GTM Operations, Finance, Product & Engineering, and GTM leadership to deliver well-governed solutions across Salesforce and connected platforms like CPQ, NetSuite, Amplitude, and Snowflake. What You'll Do Hands-on platform administration, configuration, troubleshooting, maintenance, testing, upgrades, and user support Maintain and optimize CPQ, pricing, quoting, and opportunity workflows to support the quote-to-cash process Serve as the escalation line of support for Salesforce, handling escalated i

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. 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, 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 — partitioning/sharding strat

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Senior Software Engineer - Analytics Compute Platform Team About the Role & Team Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer. Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff. Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query,

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

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 We're looking for an AI-native product growth lead to own Replit's entire paid acquisition and lifecycle marketing engine as the single DRI. This is an IC role for someone who builds systems, not just campaigns. Someone who uses AI and automation aggressively to do what traditionally requires an entire team. You don't need an engineering background. You need the instinct to build: when you see a repetitive task, you reach for Replit or an API before you reach for a spreadsheet. You'll have data science and data engineering partners for infrastructure and modeling, and brand marketing will set creative direction. Your job is to turn that direction into a closed-loop optimization system: a self-improving system that turns performance data into better creative, optimizes spend across channels in near-real-time, and compounds every insight so nothing learned is ever lost. Each cycle, the system gets smarter. That's the engine you'll build and own. The ideal candidate has deep channel expertise across paid search, paid social, and lifecycle, but their real edge is building AI-powered workflows that scale creative production, automate measurement, and compound institutional knowledge. You Will Own full-funnel performance marketing across paid search & social, ASO, and lifecycle Build a self-improving creative engine: AI-driven ad generation, testing, and iteration that scales without scaling headcount Maintain a persistent knowledge layer so every experiment, result, and creative insight compounds automatically into the next cycle Own conversion signal quality end-to-end: right events, right audiences, right attribution, partnering with DE on the infrastructure Run a structured experimentation program wher

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: Replit is building the security GRC function that will scale with an AI-native product. As the Risk & Compliance lead, you'll own our certification and audit program end to end: SOC 2, ISO 27001, and eventually ISO 42001 (AI management systems), while also owning the company's master security risk register and continuous compliance monitoring. You'll report to the Head of Security GRC, who retains overall accountability for the risk program, and work closely with Engineering to make sure controls hold up in practice, not just on paper. What You'll Do Own the end-to-end certification roadmap (SOC 2 Type II, ISO 27001, and future frameworks like ISO 42001) including scoping, gap assessments, remediation, and audit execution Manage relationships with external auditors and drive the annual audit calendar so certifications renew without last-minute scrambles Own and maintain the company's master security risk register including risk identification, scoring methodology, treatment plans, and residual risk reporting Build and maintain continuous compliance monitoring so control status reflects real-time state rather than point-in-time snapshots Own the core audit artifacts that back every certification including ISMS documentation, Statements of Applicability, risk assessments, and potentially FedRAMP System Security Plans (SSPs) Run regular audits and readiness assessments, and track remediation of findings and control gaps to closure Support GDPR and broader privacy compliance alongside the Legal/Privacy team, without owning the legal interpretation of requirements Partner with the GRC Engineer to define what evidence collection and control monitoring should be automated versus manually reviewed Track and

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 Drive the hardware engineering lifecycle for Everpure’s Hyperscale Line of Business, shaping high-performance, energy-efficient storage architectures tailored directly to hyperscale partners . You will serve as the technical lead bridging customer requirements and internal engineering execution, ensuring custom hardware solutions meet exacting performance and total cost of ownership (TCO) benchmarks . Working closely with cross-functional teams in validation, diagnostics, manufacturing test, and operations, you will lead hardware qualification projects, solve critical escalations, and advance system robustness . This role gives you direct ownership over the hardware that powers next-generation, large-scale data infrastructure . WHAT YOU'LL DO Lead Hardware Qualification & System Hardening: Plan, execute, and automate comprehensive x86 hardware validation cycles—including electrical, signal integrity, and protocol testing—to guarantee system reliability for enterprise hyperscale deployments . Drive Cross-Functional Production Readiness: Partner with operations, manufacturing test, and software diagnostic teams to transition custom storage subsystems into full-scale production, establishing clear test coverage and automated validation workflows . Resolve High-Impact Technical Escalations: Perform root-cause analysis on complex hardware failures and field escalations, using advanced tools like high-speed o

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. Portworx by Everpure(Formerly Pure Storage) Everpure Acquired Portworx in October 2020, Creating the Industry's Most Complete Kubernetes Data Services Platform for Cloud Native Applications. This acquisition represents Pure’s largest to date and our deeper expansion into the fast-growing market for multi-cloud data services to support Kubernetes and containers. WHAT YOU'LL DO Lead the design, development, and deployment of Portworx's Kubernetes-native backup and restore solution, serving as a technical anchor for the team. Design and build cloud-native services that operate reliably at scale, with a strong emphasis on performance, quality, and efficiency in both design and implementation. Deeply leverage Kubernetes constructs (operators, CRDs, controllers, CSI) to build robust, production-grade data protection capabilities. Ensure security, resilience, stability, and high availability are first-class considerations in every design and implementation decision. Design and develop robust, well-defined APIs that integrate seamlessly with the frontend and Web UI. Drive architectural decisions and technical direction for the product, mentor engineers, and set the bar for engineering quality through design reviews and code reviews. Own end-to-end delivery of complex features — from design documents through implementation, testing at scale, and production readiness. We are primarily an in-office environment and therefore, you will

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

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: Replit’s ecosystem is powered by an expanding array of external services and essential AI model partners. As our lead for Security Vendor Risk & Contract Reviews, you will architect and execute a risk management program focused on substantive evaluation rather than just processing checklists. You’ll analyze SOC 2 documentation, security assessments, and system architectures to determine actual risk profiles, collaborating with our Legal team to secure necessary contractual protections. This role reports to the Head of Security GRC and involves high-impact partnerships across Legal, Engineering, and Product teams. What You'll Do Run substantive third-party risk management (TPRM), independently evaluating real risk, not just processing questionnaire responses Review SOC 2 reports, pen test findings, and architecture documentation to form an independent view of vendor risk, extending the same rigor to AI/model providers Partner with Legal on vendor and AI contract terms, including DPAs, subprocessor agreements, and AI-specific provisions Review contracts for non-standard security language when flagged by Legal or deal desk, and recommend redlines Maintain the vendor and AI/model risk register, feeding findings into the company's master risk register Enable sales through maturing the customer trust program Build the capability for continuous monitoring of vendor ecosystem Required Skills & Experience 8+ years in third-party/vendor risk management, security risk, or a related GRC role Demonstrated ability to independently assess vendor risk rather than relying on questionnaire responses alone, fluent in reading SOC 2 reports, ISO certificates, pen test summaries, and architecture documentation Experi

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable. We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users. Some examples of what we are building: Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation. AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library. AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience. Role Overview We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the c

AI Teammates are Asana’s flagship AI innovation - autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward. The AI Teammates Platform (AITP) team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable. We build the core systems behind agentic execution: model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and the platform APIs that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. If a Teammate reasons, acts, or autonomously improves - that’s us. We’re looking for an experienced Technical Lead to drive the technical strategy, architecture, and execution for the AI Teammates Platform. You will bridge the gap between frontier AI capability and enterprise-grade software engineering, operating in close partnership with frontier model providers while building systems that scale to millions of users. If you are passionate about applied AI, agentic orchestration, high-reliability backend systems, and growing high-performing engineering teams, we’d love to hear from you! This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments with a vision for keeping our systems flexible, reliable, and maintainable to meet customer needs now and in the future Drive the team to continually and holistically

About Highnote Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability. We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet. We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen. Job Description The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines. With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue. What you’ll be doing Building secure and scalable data platforms that support our product/customer needs and power data driven decision making. Writing high quality and robustly tested code, mostly in Java and Python. Understanding business/data needs and growth to build the right solutions. Documenting your work to support our rapidly-scaling company. Interfacing with internal business stakeholders and technology partn