Platform Support Engineer Jobs

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model. This role can be based out of any MongoDB U.S. office or remotely within the United States. Responsibilities Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems Participate in a 24/7 on-call rotation to resolve critical issues Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice You may be a good fit if you Have 6+ years of experience in software development and operating distributed systems Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests) Have deep experience using and extending containerization technologies, preferably Kubernetes Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS) Pos

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azur

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

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. As a Support Specialist you are at the forefront of helping those developers create. On a given day, you’ll help our customers navigate billing questions, manage their accounts, and get the most out of Replit. You'll be the voice of our users, bubbling up patterns and feedback to Replit's Product and Engineering teams so we can keep improving. We use tools like Zendesk, Linear, Slack, Stripe, Orb and Replit itself to get the job done. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets to solve account, billing, and product issues, while meeting daily ticket volume and resolution time targets Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Directly contribute to and maintain the Support’s Team's Knowledge Base Own and manage escalated customer interactions that are complex, sensitive, or high-impact, driving resolution across stakeholders. Help shape and refine support processes as the team and product continue to grow Required skills and experience: 4+ years of customer support experience Experience with support platforms (Zendesk), payment systems (Stripe, Orb), and ticketing workflows Excellent communication skills and a proactive approach to asking questions and resolving ambiguity Ability to work efficiently in fast-paced, high-volume support environments Strong time management and ticket triage skills Comfortable working in a metrics-driven environment Able to work independently while colla

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. Role Summary As a Social Media Support Specialist, you are at the forefront of helping developers create while managing our social media presence and community interactions. You'll assist developers with complex technical issues, billing inquiries, account management, and product usage questions across multiple channels including X (Twitter), LinkedIn, Reddit, Apple/Google Play stores, and other relevant platforms. You will help bubble up what is important to Replit's engineering and Product teams, and what needs improvement to your own team, while also serving as a key voice in our social media community engagement. We use tools like Zendesk, Sprout Social, Linear, Slack, Stripe, Orb, Notion, and Replit itself to get the job done, alongside social media management platforms for X, LinkedIn, and Reddit. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets and social media accounts to solve account, billing, and product issues Manage and respond to customer inquiries and community discussions on X (Twitter), LinkedIn, Reddit, and Apple/Google Play stores, with the possibility of expanding coverage to additional platforms as we grow Monitor social media channels for product feedback, technical issues, and community sentiment Manage escalations from social media channels and coordinate with appropriate internal teams to ensure timely resolution Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Work cro

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. Role Summary As a Social Media Support Specialist, you are at the forefront of helping developers create while managing our social media presence and community interactions. You'll assist developers with complex technical issues, billing inquiries, account management, and product usage questions across multiple channels including X (Twitter), LinkedIn, Reddit, Apple/Google Play stores, and other relevant platforms. You will help bubble up what is important to Replit's engineering and Product teams, and what needs improvement to your own team, while also serving as a key voice in our social media community engagement. We use tools like Zendesk, Sprout Social, Linear, Slack, Stripe, Orb, Notion, and Replit itself to get the job done, alongside social media management platforms for X, LinkedIn, and Reddit. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets and social media accounts to solve account, billing, and product issues Manage and respond to customer inquiries and community discussions on X (Twitter), LinkedIn, Reddit, and Apple/Google Play stores, with the possibility of expanding coverage to additional platforms as we grow Monitor social media channels for product feedback, technical issues, and community sentiment Manage escalations from social media channels and coordinate with appropriate internal teams to ensure timely resolution Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Work cro

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 Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives

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 Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MA / NY / PA WHAT YOU'LL DO Develop a real understanding of what drives ea

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 Stripe's Infrastructure organization builds and operates the shared platforms that make it possible for engineering teams to build, deploy, run, and scale reliable products. The organization owns foundational capabilities across service networking and discovery, safe feature and configuration changes, data storage and orchestration, and batch computing. Our platforms support a global engineering audience and power systems at significant scale. This includes the control plane for secure service-to-service communication across tens of thousands of microservices, service and feature deployment infrastructure that helps teams introduce and recover from changes safely, infrastructure for running Stripe's containerized services, and data platforms for storage, pipeline orchestration, and large-scale processing. Our batch compute platforms support technologies including Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, and Apache Celeborn. As an Engineering Manager, you will lead or strongly influence teams working on business-critical infrastructure with broad internal adoption. You will balance reliability, scalability, security, developer experience, and operational rigor while helping Stripe move quickly with confidence. You will partner closely with product, security, data, support, and adjacent infrastructure leaders to set direction, resolve cross-team dependencies, and turn recurring needs into durable platform capabilities. Wh

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 As a Software Engineering Manager, you will lead a high-performing team dedicated to redefining how the world consumes storage infrastructure through an AI -driven, multi-cloud fabric. You will act as a technical catalyst, driving the delivery of unified data services while providing deep mentorship to foster a culture of engineering excellence. By collaborating closely with Product and Architecture leads, you will bridge the gap between long-term business strategy and high-impact technical execution to scale our global platform. WHAT YOU'LL DO Build and Scale High-Performing Teams: Drive the end-to-end lifecycle of engineering talent, from strategic hiring and onboarding to cultivating an environment of psychological safety and rapid innovation. Direct Technical Strategy: Oversee the architectural health of core data services—including cloud mobility and high-availability systems—ensuring all engineering decisions support massive scale and multi-cloud resilience. Drive Predictable Delivery: Manage high-impact roadmaps by optimizing agile workflows and proactively addressing technical debt to ensure the consistent release of enterprise-grade features that meet business KPIs. Bridge Strategy and Execution: Serve as the primary conduit between Product Management and Engineering, translating complex customer requirements into actionable technical priorities and long-term milestones. Champion Professional Growth: Elev

About the Team OpenAI Presence, part of Enterprise Engineering, builds a platform for reliable AI agents that carry out high-volume business workflows. We focus on specific use cases such as customer support, sales, and insurance claims, helping organizations put agents to work in production. The Presence platform supports the agent development lifecycle, including evaluation, deployment, and improvement through real interactions. It connects agents to company systems and supports voice and chat experiences, with policies, guardrails, and human handoffs to help businesses stay in control. Read the launch announcement . About the Role We’re looking for an engineer to help shape the foundations of Presence and build the systems that make AI agents dependable in everyday business operations. You’ll help set the platform’s technical direction while staying close to the code, taking architecture from early decisions through to systems that perform reliably at scale. You’ll bring deep backend expertise and the product judgment to connect what we build with how businesses use it. The work centers on the services that power Presence and extends across the stack—giving you scope to shape both the underlying systems and the experiences they enable. In this role, you will: Provide hands-on technical leadership, guiding architectural decisions and implementation across the Presence platform. Design and build backend systems for reliable, high-volume agent workflows in support, sales, and other enterprise use cases. Develop platform capabilities that support agent development and learning from real-world use. Identify and address reliability bottlenecks as agent workflows become more complex and usage grows. Work across backend infrastructure and product experiences as needed, collaborating with other engineers to turn evolving requirements into working software. Your background might look something like: 9+ years of professional engineering experience, excluding internships, in