Platform Services Engineer Jobs

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 Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe's front door surfaces, educating customers about the power of our platform, sharing Stripe's ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update. Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe's success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work. What you'll do As a Design Engineer you will concept, prototype, and build new experiences for our web presence. You'll bring your creativity and expertise to the full range of the Stripe brand, across evergreen pages as well as time-based campaigns. You'll both utilize and contribute to our libraries and design systems, and, when appropriate, work outside established systems to create new digital moments. You'll constantly have in-browser performance in mind, and create abstractions that other designers and engineers consume and build upon. All Design Engineers in WPP have a sha

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Care Experience team builds the systems and tools Toast’s care agents rely on to support restaurants every day—the foundation behind every phone call, chat conversation, and support case. This work directly determines how quickly restaurants get back up and running. When agents have fast, reliable tools with the right context, they resolve issues in minutes. When they don’t, resolution slows—and every delay in fixing a payment issue, menu problem, or device failure costs restaurants real revenue. We’re rebuilding this experience from the ground up: migrating to a new omnichannel contact center platform and creating a true “single pane of glass” for agents. That means bringing together customer data, account context, device state, case history, and operational tools into one unified system—so agents can focus on solving problems, not piecing together information. As an engineer on this team, you’ll help define and build that foundation for how hundreds of care agents support tens of thousands of restaurants. You’ll drive the migration while also shaping what comes next—integrating backend systems, designing workflows, and continuously improving the experience based on how agents actually work. This work requires strong empathy for internal customers and a willingness to operate within real constraints. You’ll navigate complex integrations, vendor platform limitations, and real-time system dependencies—all while ensuring the system is reliable enough to support a high-throughput, always-on support organization. As a Staff Software Engineer Tech Lead, you’ll own projects end-to-end: building agent-facing features, improving system performance and reliability, and iterating based on real operational feedback. You’ll partner closely with product, care operations, and engineering team

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are seeking a seasoned Engineering Manager for Toast Now - the team putting the power of the entire Toast platform into the pockets of restaurant managers and operators. Our ToastNow app has a rating of 4.9 stars. Our goal is to deliver native app experiences that empower restaurant operators to manage their business in real-time, whether from the restaurant floor, the back office, or their couch at home. We're delivering an innovative new product on modern mobile technologies. Our teams are very agile and extremely customer-focused. UX, PM, and software engineers work hand-in-hand every day, and teams get feedback directly from pilot customers. We have high standards for customer satisfaction, and we strive to deliver high quality features in rapid iterative cycles. The talent density on this team is high with low homogeneity - folks drive impact and value differently, and we’re looking for a seasoned individual to lead such a high performing team. A day in the life (Responsibilities) Drive delivery of business outcomes, including planning, schedule, and execution Drive cross-team and cross-organization efforts with predictable results and excellent collaboration Collaborate closely with PM and UX to fill the teams’ backlog with actionable, valuable work Ensure end-to-end quality and delivery of software, including ownership of monitoring and production issues Hire and develop new team members Coach individuals in professional and technical development Champion the use of AI tools and practices to accelerate development, improve team velocity, and pioneer new ways of building - setting the bar for what it means to be an AI-first engineering organization. What you'll need to thrive (Requirements) Experience leading and mentoring successful teams to d

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. About the Role: Toast IQ is our agentic platform for local business: a growing set of specialized AI agents and capabilities designed to take real work off an operator’s plate, from driving demand and managing labor to optimizing the back office. As we expand this portfolio across multiple lines of business, we need to ensure that what we build comes together as a coherent platform, reaches the market effectively, and produces meaningful customer and business impact. The AI Operations Lead will help build and run the operating system that connects AI strategy to execution and market impact. You will help shape how our AI portfolio comes together, is launched, and adopted, building the operating engine that brings this experience to life, and turning customer, market, and technology signals into better product and commercial decisions. This is a highly cross-functional, hands-on leadership role. You will work directly with the VP of Product for Toast IQ, partnering across product, design, engineering, marketing, sales, and support to bring the vision of Toast IQ to life. Success will require strong judgment, exceptional communication, and the ability to personally drive ambiguous work to completion. A day in the life (Responsibilities) Create visibility across Toast’s broader AI efforts and run portfolio ops. Connect work happening across the agent portfolio and other AI initiatives. Share learnings, identify opportunities to reuse capabilities, and surface key decisions. Maintain visibility into ownership, sequencing, dependencies, key decisions, risks, progress, and enablement. Build Toast’s AI presence. Partner with product, design, engineering, and marketing to make Toast’s AI products, technical insights, customer outcomes, and talent more visible through launches, c

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio. Join us as our next Staff Product Manager - Enterprise AI on Twilio's Enterprise AI team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM corporate functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. As Staff Product Manager for Enterprise AI, you will lead the product strategy and execution for AI-powered solutions across both GTM and Corporate Functions. You'll build intelligent agents, automatio

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Security engineers at Spotify protect our platform, employees, creators, and more than 700 million users. We are looking for an experienced Security Engineer to join the Detection and Response organization and help identify, investigate, and respond to threats across Spotify's environment. You will work within our detection engineering squad where the team owns alert triage, security investigations, threat hunting, and the detection engineering lifecycle. You will turn threat intelligence, incident learnings, and analyst feedback into effective detections and investigation workflows. You will partner closely with the detection infrastructure squad, which builds and operates Detection and Response platforms and telemetry pipelines, and with teams across Spotify to make sure your squad has the signals and capabilities needed to detect and respond to threats at Spotify's scale. We are a distributed team that values curiosity, sound judgment, clear communication, and continuous learning. We teach and learn from one another, adapt as the threat landscape changes, and focus our effort according to business needs and risk. What You'll Do Identify detection opportunities, define clear telemetry requirements, and partner with the detection infrastructure squad and data owners to make the signals needed for detection and investigation available. <li style="font-size: 11pt; font-family: Arial, sans-serif

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work, creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Our team builds Groove, a platform that helps thousands of employees plan, coordinate, and deliver work across Spotify. From initiative tracking to dependency management and collaborative planning, Groove helps teams stay aligned and execute with confidence. We're a small, cross-functional engineering team focused on building thoughtful tools that reduce friction and help people do their best work. We move quickly, learn from user feedback, and continuously improve the experiences we build. What You'll Do: Build and evolve Groove, a fullstack platform that supports planning, collaboration, and execution across Spotify. Design and deliver features including initiative tracking, planning workflows, and dependency management. Work across the stack using React, TypeScript, Java, GraphQL, PostgreSQL, and Google Kubernetes Engine (GKE) to build end-to-end solutions. Partner closely with product managers and designers to understand user needs and create intuitive, effective experiences. Ensure reliability through testing, monitoring, and continuous improvement in production. Participate in an on-call rotation and help respond to production incidents when needed. Improve the

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 redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. Realizing that vision requires a platform that legitimate users can trust and adversarial actors cannot exploit. We're hiring a Data Scientist to help build Replit's Trust & Safety and Anti-Abuse program from the ground up. You'll turn noisy behavioral, identity, payment, infrastructure, and content signals into the measurement systems, detections, and decisions that protect Replit's users, platform, and economics. You'll work closely with Engineering, Support, Legal, Security, Infrastructure, Money, and Growth to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, referral abuse, and increasingly, abuse driven by AI agents themselves. You'll help define how we identify, measure, and respond to these threats without compromising the experience of good users. Who You Are You're a data scientist who moves fast, goes deep, and thinks adversarially. You can spin up an analysis in hours that would take others days, not by cutting corners, but because you've built the intuition and technical toolkit to get to the right answer quickly. You dig past the top-line abuse rate to understand selection effects, missing labels, policy changes, attacker adaptation, and the false positives hidden inside an aggregate metric. You understand that Trust & Safety data is imperfect and outcomes are high stakes. Ground truth is delayed, biased, and often incomple

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 hiring a hands-on Engineering Manager to build and lead Replit's Anti-Abuse team from the ground up. This is a foundational 0-to-1 role: you'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship the systems that protect Replit's platform, users, and economics from adversarial actors. You'll partner across Support, Legal, Security, Infrastructure, and the Money and Growth teams to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, and increasingly, abuse driven by AI agents themselves. The team you build will define how Replit defends against all of it. What You'll Do Build the anti-abuse roadmap from scratch : Define the threat model, prioritize across abuse vectors (phishing/scam hosting, cryptomining, token farming, payment fraud, AI agent exploitation), and translate it into a shipping plan with clear sequencing and tradeoffs. Design progressive verification and identity infrastructure : Build the "ladder of trust" that gates increasing platform capabilities (referrals, additional credits, access to powerful agent features, Missions) behind escalating verification. This includes a humanity/identity layer that's distinct from user accounts, integrations with KYC-grade verification providers, and the policy engine that decides what level of trust unlocks what behavior. This infrastructure is core not just to promo integrity but to how Replit safely expands agent capabilities over time. Ship as a hands-on EM : Stay in the code. Use the latest AI coding tools (including Rep

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you’d have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the positi

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team As an Intern in Applied AI Solution Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. VEs don't just understand code; they understand the entire architecture of a deal. By bridging the gap between deep technical capability, customer pain points, and revenue mechanics, it stands out as one of the most high-impact roles in tech. The Role As a VE Working Student, you will sit at the intersection of data engineering, process intelligence, and business strategy. You won't just support the team; you will actively build data-driven solutions within the Celonis Process Intelligence Platform to uncover hidden inefficiencies for companies across the Italian market. This is a highly analytical role where you will translate complex business challenges into technical requirements, using SQL/PQL, data modeling, and AI capabilities to transform raw data into million-dollar business cases The work you’ll do Mine & Model Data: Use the Celonis platform to analyze complex business processes, exposing hidden ine

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. Lead Value Engineer - Insurance The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Lead Value Engineer, you will architect and drive large-scale AI and data-dri