Platform Engineering Lead Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Role You'll be our dedicated expert in query execution and query performance. That means owning the query execution service end-to-end: working on caching strategies, incremental execution, query rewrites, and other optimizations that directly affect the speed and cost of running Observe at scale. You'll also be the go-to resource when query latency issues arise during customer evaluations and new deal cycles, diagnosing root causes

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths . Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model. The Opportunity We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory. Day to Day Cultivate sales through outbound prospecting and inbound leads Meeting customers in-field and closing deals Prospect into CTOs, Engineering/IT leaders, and technical end users Meet and exceed individual monthly, quarterly, and annual Quarterly targets Manage the full sales cycle for both Atlas and Professional Services Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach Handle quote creation and order processing Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others. What you bring to the table 5 years to 20 yea

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The IT Tooling team sits within IT Support & Services (ITSS) and builds the automations that power ITSS's own operations. Our in-house bot, Ask IT, deflects the majority of company-wide IT requests before they reach a human. Beyond that, we automate ITSS's core day-to-day workflows — ticket triage, access reviews, onboarding and offboarding — which employees experience as self-service. You'll own technical domains within the IT Tooling platform and partner with regional IT teams across APAC, EMEA, and AMER through platforms including n8n, Jira, Okta, Airflow, and Temporal. What You'll Do Own the technical architecture of IT Tooling automations, driving design decisions on system structure, integration patterns, and tooling across n8n, Airflow, Temporal, and Jira Establish architecture standards and code review practices that raise the team's overall engineering bar Lead as technical DRI on the most complex, highest-impact automation projects, from discovery and design through production delivery Partner with Security, Corporate Engineering, and IAM to resolve technical blockers and represent the team in cross-functional architecture discussions Build shared frameworks and reusable components that reduce single points of failure across the platform Produce architecture documentation and decision records that enable the team to scale with minimal dependency

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role Modal's LLM inference platform delivers frontier performance for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots and multi-cloud substrate . We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direct

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role We're looking for an Engineering Manager to lead our Deployment Engineering team in North America. This isn't a typical management role - we need someone who thrives in a fast-paced, high-growth environment and leads from the front: technically sharp, hands-on, and relentlessly focused on impact. You'll manage a team of Forward Deployed Engineers on the front lines of building agentic solutions with Cohere's North platform, balancing technical excellence with the kind of team leadership that actually moves things forward. You'll be solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. What You'll Do Lead and mentor a team of Forward Deployed Engineers focused on building agentic solutions with North in on-premises environments. Take ownership of customer success from technical implementation through delivery. Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises. Build relationships with technical stakeholders on the customer end. Foster a culture of continuous improvement and innovation, focusing

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 We are seeking a highly technical Lead Release Engineer with a strong engineering foundation to lead the end-to-end release lifecycle of our storage products. You will serve as the bridge between Development, QA, and Product Management — ensuring that complex storage stacks are delivered with high quality and predictable cadences. Unlike traditional project-based release management, this role demands deep hands-on expertise across CI/CD orchestration, codeline management, system-level triaging, fleet operations, and the engineering rigor required for data-critical products. You will own the health of our release pipelines, lead triage war rooms, drive automation initiatives, and participate in on-call rotations to keep CI and test-orchestration infrastructure running reliably. You will also build developer-facing tooling, manage HW test fleet operations, and maintain high-quality integration workflows across our code lines. WHAT YOU'LL DO Release Orchestration: Own the end-to-end release process for storage software and firmware, from development to GA (General Availability). CI/CD Leadership: Design and build optimized pipelines and tools to scale code management and merge operations. Work closely with systems such as Jenkins, test frameworks, Premerge, Orchestrator, and related developer productivity tooling to keep the codeline healthy and actionable. Technical Triaging: Act as the primary technical poin

About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform. You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform, enabling real-time decision-making across the organization. In this role, you will drive consistency and quality by defining the right engineering strategies. You will oversee multiple engineering projects, ensure timely execution, collaborate across functions, and mentor engineers to grow into high-performing contributors.

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As the EMEA Lead – Sales Engineering, you'll lead and grow DevRev's Sales Engineering team across EMEA. It's a hands-on leadership role, you'll directly manage a distributed team of SEs across multiple markets and time zones, while personally partnering with Sales leadership on the region's most strategic opportunities. You'll set the bar for a high-quality technical experience across the customer journey — blending technical depth with storytelling across demos, evaluations, and proposals, in close collaboration with Sales, Product, Engineering, and Customer Success. What you'll do Hire, coach, and grow a distributed team of Sales Engineers across multiple EMEA markets — owning recruiting, ramping, goal-setting, reviews, and career development. Manage team capacity and coverage — allocating SE resources across deals, markets, and time zones, and representing SE in regional Sales leadership and forecasting. Own SE strategy and execution across EMEA, partnering with Sales leadership on pipeline growth and revenue targets. Act as the senior technical leader on strategic, complex enterprise deals — from discovery through demos, PoCs, and proposals. Enable partners, resellers, and sales teams through workshops,

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

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. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you’ll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource,

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. You’ll likely spend time working on: Empowering your engineering team to deliver high levels of technical quality and business impact. Recruiting a diverse team of engineers recognized as some of the best in the industry, from outreach to closing. Managing a team of engineers and facilitating their career development through challenging responsibilities and constructive feedback. Actively participating in strategic direction and product decisions for your team. Contributing to engineering-wide initiatives as a member of the Playlist engineering management team. About the right team member: You are an experienced engineer who has successfully transitioned into a people leader, passionate about building and operating reliable, scalable cloud platforms and developer infrastructure that empower engineering teams. You possess extensive experience in at least one aspect of developing a world-class cloud platform and can effectively manage a high-performing team throughout the entire process. You’ll thrive in this role with experience in: 3+ years of direct management experience with an engineering team of at least 6 members with skills acro

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is a data-driven organization, and Data Platform builds the foundation that makes that possible. The platform powers everything from core business metrics and product analytics to the applied AI and experimentation systems that teams across the company rely on to build and make decisions. In this role, you'll lead engineers across Data Platform through their next phase of scale, setting technical direction, growing the team, and partnering broadly across the company. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health Set the roadmap and technical strategy for your sub area, and provide hands on technical leadership where the team needs it Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense Keep delivery predictable while balancing near-term execution with long-term platform investment We'd love to hear from you if you have: 3+ years managing engineers

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! You will be the first engineering manager for the Growth Platform, and you’ll help shape its vision, starting with the Communications capability. The platform will grow as we prove value. You’ll partner with leadership to define the platform’s direction, assess existing technology, identify the next set of investments, and help evolve the vision through learning gained from shipping, customers, and overall ecosystem. While aiming for the sky in terms of longer term vision, you will deliver incremental value every sprint by being grounded in today's reality. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Build and lead the team: Hire the initial engineers for the Growth Platform’s first team. Set the team’s culture, operating rhythm, and engineering standards. Mentor engineers, create career growth opportunities, and help scale the organization as scope expands Build capabilities that unlock new experiments: This isn’t about building an experimentation platform—it’s about building the product capabilities (personalized messaging, self-service publishing, cross-system integrations) that make it dramatically easier for teams across Figma to run growth experiments without engineering bottlenecks Leverage AI to scale quality and speed: Explore and integrate AI-driven approaches—for brand consistency checks, visual quality validation, copy generation, and experiment governance—that allow experiment volume to grow

Manufacturing Test Engineering Manager Position Summary We are seeking an experienced Manufacturing Test Engineering Manager to lead the development and execution of the end-to-end manufacturing test strategy for next-generation AI server platforms and datacenter infrastructure. This role is responsible for defining and driving the manufacturing test architecture from L6 board assembly through L11 rack-level integration and final system validation , ensuring world-class product quality, manufacturability, and production scalability. This leader will manage a team of 3–5 Manufacturing Test Engineers while partnering closely with Hardware, Firmware, Platform, Validation, Quality, Operations, and Joint Design Manufacturing (JDM) partners. The role owns the manufacturing test strategy, test coverage, factory test infrastructure, manufacturing capacity planning, and continuous improvement of manufacturing quality. Key Responsibilities Manufacturing Test Strategy Define and own the end-to-end manufacturing test strategy from L6 board assembly through L11 rack integration . Develop standardized manufacturing test methodologies that optimize quality, throughput, cost of test, and scalability across multiple products and JDM sites. Establish manufacturing test standards, best practices, and engineering processes that support high-volume server manufacturing. Technical Leadership & People Management Lead, mentor, and develop a team of 3–5 Manufacturing Test Engineers supporting multiple hardware programs. Establish team priorities, allocate resources, and ensure successful execution of manufacturing test deliverables. Foster a culture of technical excellence, accountability, collaboration, and continuous improvement. Serve as the primary technical escalation point for manufacturing test and production issues. Cross-Functional Engineering Collaboration Partner with Hardware, Platform, Firmware, Validation, Reliability, Quality, and Operations teams to ensure manufac

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia