Lead Platform Operations Engineer Jobs

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Platform Services is one of DoorDash’s organizations responsible for extending DoorDash beyond the consumer marketplace. The team owns three distinct business lines: Drive, a white-label delivery API that enables external businesses to access DoorDash’s delivery network; Parcels, which provides last-mile logistics for retailers and merchants; and Enterprise (DoorDash for Business), a b2b product suite powering corporate meal programs and large ordering for organizations of all sizes. We are looking for a Senior Technical Program Manager to help scale Platform Services. You will lead important engineering wide initiatives across Enterprise, Drive, and Parcels, working with Engineering, Product, Operations, and business leaders to deliver dependable, extensible logistics capabilities for external businesses. Programs will span backend services, partner and merchant integrations, operational tooling, and platform interfaces. They require strong technical judgment, cross organizational coordination, stakeholder management, and ownership of results. You will report into the centralized Technical Program Management team in Engineering. You're excited about this opportunity because you will… Drive Platform Services’ Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Platform Services’ strategy into executable technical programs. The portfolio spans Drive (DoorDash’s white-label delivery offering), Parcels (last-mile logistics for merchants and retailers), and Enterprise (DoorDa

GAQ126R43 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Technical Lead to own the technical architecture and delivery of our SAP platform. In this role, you'll define the technical vision for a clean-core S/4HANA landscape, lead the engineers who build on it, and architect the intelligent, agentic AI layer that sits between SAP and the Databricks Data Intelligence Platform. You'll set the standards, make the hard build-versus-adopt calls, and ensure everything we ship is secure, performant, and built to scale. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Technical Lead, you will own how those processes are engineered—from the clean-core S/4HANA core and its extensions, to the integration fabric that connects SAP to the rest of the enterprise, to the AI and agentic services that make the experience intelligent. Rather than accumulating custom code inside the digital core, you'll champion a modern extensibility model on SAP BTP and the Databricks Lakehouse, so Finance teams get automated, AI-driven workflows on top of a core that stays clean, upgradable, and fast. Your mission is to combine the strength of SAP with the power of Databricks AI to build a te

About the Role DoorDash is building an AI Research org from the ground up, and we're hiring our founding researchers. This is not a role inside an existing team — it's a role that defines what the team becomes. You'll have an outsized influence on the research agenda, hiring, culture, infrastructure choices, and how research connects to the rest of DoorDash. DoorDash sits on a uniquely valuable substrate for AI research: a real-world, multi-sided marketplace operating at massive scale, with millions of consumers, merchants, and Dashers generating data that no academic lab and few companies can access. We want to build a research org that takes that seriously — one that produces work the broader field cares about, and that fundamentally reshapes how local commerce works. You should apply if you want to do ambitious, publishable research in an environment with the data, compute, and operational reach to actually deploy what you build. What You'll Do Set the research agenda for one or more areas of DoorDash AI Research, in close collaboration with the founding team and leadership Lead high-impact research projects end-to-end — from problem framing through publication and, where appropriate, production deployment Help build the team — interview, recruit, and mentor researchers, engineers, and fellows joining the org Shape the org's culture and operating model — how we publish, how we collaborate with product teams, how we balance open research with proprietary work Partner across DoorDash with ML platform, product, and operations teams to identify the highest-leverage research bets and translate findings into real-world impact What You'll Have Access To Novel proprietary data at marketplace scale — logistics traces, merchant operations, consumer behavior, real-time supply and demand signals, and longitudinal data unavailable anywhere else Scalable data collection — ability to design and run structured data collection, leveraging DoorDash’s world-class operational scale,

As a Technical Lead on Zoox's internal agentic platform, you will own end-to-end integration of a tool-centric agent runtime with external and internal agent clients, line of business backends, scheduled and interactive agent workloads, and cloud operations (Kubernetes, observability, secrets management). You will translate architecture and security intent into stable tool contracts, testable integration milestones, and repeatable releases, and you will be the primary engineer when issues sit at the boundary between product surfaces, platform services, and upstream systems. This role is platform and service integration for an agentic framework that mediates tools (discovery, invocation, policy, and telemetry). Success is measured by reliable tool call paths over HTTP, correct authentication and scoping, environment parity from dev through production, and clear ownership across partner engineering, security, and infrastructure teams. In this role, you will: Own and lead integration strategy and execution across hosted services, shared libraries, standardized tool protocols (e.g., JSON-RPC over HTTP), REST APIs, and diverse callers (vendor agents, consoles, automation workers). Drive cross-functional delivery with backend API teams, partner agent owners, security, SRE/platform, and program management, ensuring formal sign-off where required. Debug and root-cause complex failures using structured logs, distributed traces, metrics, and gateway/session-token behavior, documenting durable mitigations and runbooks. Define and review all integration artifacts (contracts, allowlists, registry config, environment matrices, and interface assumptions) that upstream and downstream teams implement against. Contribute to release gating by ensuring container image promotion, configuration/secrets posture, smoke path execution for high-traffic flows, and disciplined branching/tagging for production inte

Do work that matters. At AlertMedia , we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off AlertMedia is looking for an innovative and hands-on Sr. AI/ML Engineer with a strong background in applied machine learning and data science to lead the evaluation, training, and integration of advanced AI and machine learning models across our product suite. In this role, you will help shape our AI strategy by identifying the most appropriate models for our use cases, optimizing their performance through fine-tuning and prompt engineering, and ensuring their responsible deployment within our platforms. You will have the opportunity to show who you are throughout our interview process; we don’t ask any trick questions or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of! Who you are: You are an applied AI and machine learning engineer with strong data science fundamentals, deeply curious about what's possible with large language models and practical machine learning applications. You’re a collaborative engineer who thrives in a fast-moving environment, and you’re as comfortable training and fine-tuning models as you are crafting prompts or evaluating model outputs. You have a strong understanding of ML fundamentals, but you're pragmatic in

Do work that matters. At AlertMedia , we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off AlertMedia is looking for an innovative and hands-on Sr. AI/ML Engineer with a strong background in applied machine learning and data science to lead the evaluation, training, and integration of advanced AI and machine learning models across our product suite. In this role, you will help shape our AI strategy by identifying the most appropriate models for our use cases, optimizing their performance through fine-tuning and prompt engineering, and ensuring their responsible deployment within our platforms. You will have the opportunity to show who you are throughout our interview process; we don’t ask any trick questions or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of! Who you are: You are an applied AI and machine learning engineer with strong data science fundamentals, deeply curious about what's possible with large language models and practical machine learning applications. You’re a collaborative engineer who thrives in a fast-moving environment, and you’re as comfortable training and fine-tuning models as you are crafting prompts or evaluating model outputs. You have a strong understanding of ML fundamentals, but you're pragmatic in

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based Remotely in Toronto, Canada. Key Responsibilities: Build an

About the Team The Finance Platform & Technology team builds and scales the systems and data architecture that power OpenAI’s core financial operations. We enable business agility, compliance, and operational excellence across procure-to-pay, quote-to-cash, supply chain, financial planning, and asset management. We partner with Procurement, Accounting, Tax, Legal, Security, Data, and Engineering to modernize workflows through thoughtful platform design, reliable integrations, scalable automation, and trusted data. About the Role As a Business Systems Lead for Procure-to-Pay, you will be a hands-on engineer who designs, builds, and operates the integrations and first-party applications that power OpenAI’s procurement workflows. You will translate business needs into secure, scalable software, APIs, data flows, and automation across Oracle Fusion, Zip, and connected platforms. You will build the future of buying at OpenAI using OpenAI’s own technology, from guided intake and approval experiences to supplier onboarding, purchasing, receiving, invoicing, and downstream financial data flows. You will own the technical roadmap and support model for these capabilities, improving today’s platforms while deciding where to integrate, configure, or build as OpenAI scales. Your core strength will be software and integration engineering. You will personally write code, troubleshoot cross-system failures, and take solutions through testing, deployment, and production support. You will also make targeted functional configurations in procurement platforms and partner with functional specialists on deeper process and module design. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate integrations across Oracle Fusion, Zip, and connected systems using APIs, events, messaging, and batch interfaces where appropriate. Build first-party

Req ID - FEQ327R499 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: 3+ years of experience building and leading technica

REQ ID - FEQ227R90 Location: Toronto, ON The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward. Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. The impact you will have: You will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets and ensure customer success Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technology stack. You will make sure that your team is continuously learnin

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 About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Strategy & Operations (S&O) team for Infra is responsible for enabling the continued rapid growth and operational excellence of one of Stripe's most strategic areas - the infrastructure group. This role sits at the intersection of product, engineering, strategy, finance, data, GTM and day-to-day execution, ensuring the infra organization is well-informed, running efficiently and poised to deliver on the future product needs. As a key member of this team, you will tackle a diverse array of challenges that underpin Stripe’s technical foundations which will span system scalability, platform reliability, and efficiency. You will provide the analytical rigor and operational pragmatism necessary to scale Stripe’s infrastructure in a way that is both technically resilient and fiscally sustainable. Operating with a high degree of autonomy, you will lead critical strategic projects, translate complex system performance and capacity trends into actionable infrastructure requirements, and drive the high-stakes architectural and resource decisions necessary for Stripe’s long-term growth. The Infrastructure Strategy & Operations team is a vital partner to Stripe’s engineering leadership and the Office of the CPTO, focused on three core pillars: Setting and Driving the Engineering Agenda: We design the organizational structures and operating models that enable our infrastructure to scale ahead of the business. We lead critical te

REQ ID - FEQ327R483 Location(s): Central US (Texas, Illinois, St. Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced kno

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 Site Reliability Engineering (SRE) team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking Staff SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust observability solutions, lead incident response, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit. You Will: Architect and Implement Observability: Design, build, and lead the implementation of comprehensive monitoring, logging, and tracing solutions. Create dashboards and metrics that provide real-time visibility into system health and performance, enabling proactive issue detection. Define and Drive Reliability Standards: Work with product and engineering teams to define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to monitor and report on these metrics, holding teams accountable and ensuring we maintain high reliability standards while balancing innovation speed. Lead Incident Management and Response: Act as a senior leader during high-impact incidents, guiding the team to rapid resolution

Toast is building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: running the businesses they love. We’ve grown into a leading hospitality software company in the U.S., and are now entering our next phase of growth—one defined by scale, complexity, and a new class of enterprise customers. As our customers grow, so do the demands on our platform. Operators who once managed a handful of locations are rapidly expanding, while new enterprise brands are adopting Toast to power increasingly complex operations. Supporting this evolution requires more robust, enterprise-grade capabilities. Within this space, we’re looking for a Software Engineering Manager to lead our Partner Connect team. In this role, you’ll guide a team delivering high-impact features that directly shape the experience of every Toast customer. You’ll be responsible not just for what the team builds, but how it builds—driving clarity, improving execution, and maintaining a high bar for quality. Your team will own the frameworks to manage integrations with Toast for all our partners and customers.You will work with the team to help build a feature rich, consistent, unified experience for anyone who wishes to connect to Toasts APIs, consume our data and integrate with restaurants. You will also play a role in evolving our architecture to support ever more complex new features and best-in-class monitoring as we scale to orders of magnitude of our current size! You’re someone who enjoys developing engineers and building strong, collaborative teams. You connect day-to-day work to broader outcomes, helping your team understand the impact of what they’re building while identifying opportunities to deliver more effectively. You bring enough technical depth to provide clear direction and sound judgment, while still empowering engineers to take ownership. Day to day, your work will span reviewing design documents and pull requests, facilitating cross-team discu