Platform Services Engineer Jobs

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring an Autonomy Platform Engineer to build and evolve the foundational software that runs our autonomy stack across robot and compute platforms. The Autonomy Platform team works across embedded Linux, compute and sensor enablement, robotics middleware, process orchestration, data capture and replay, system observability, and performance. You will develop production software and tooling that enables autonomy engineers to bring up new hardware, deploy services reliably, diagnose failures, and validate system performance across robot generations. You will work closely with autonomy, firmware, electrical, hardware, manufacturing, and validation engineers and report to the Autonomy Platform Lead. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Build and maintain core runtime, middleware, and platform services used by autonomy applications. Enable new compute, camera, lidar, and other sensor platforms. Improve process orchestration, messaging, configuration, startup and shutdown behavior, resource isolation, and fault recovery. Develop system observability, tracing, performance measurement, diagnostics, and regression-detection capabilities. Build reliable data capture, replay, and debugging workflows. Create provisioning, packaging, deployment, integration-test, and platform-readiness tooling. Lead complex debugging across application, middleware, OS, driver, networking, timing, and hardware boundaries. We’re excited about you because… Strong production C++ and Python experience. Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems. Solid u

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The standard work week post ramping will be Sunday - Thursday every week. With three days in office. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an e

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. The position will be based in our Sydney office. The standard work week post ramping will be Tuesday to Saturday, every week. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, wh

Cloud Platform Engineer Team: Platform Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Our Cloud Platform team empowers developers to build and deploy their applications swiftly, securely, and seamlessly. As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You'll implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific. What you’ll bring to the role Extensive experience administering and optimising large-scale Kubernetes clusters Strong experience with Kubernetes tooling, such as Helm and kustomize Strong experience with GitOps tooling and methodologies, such as ArgoCD Proven experience with Google Cloud Platform services and architecture Strong knowledge in GKE and Kubernetes, including maintenance and optimisation of production clusters Strong experience with Terraform for infrastructure provisioning and automation Solid programming skills in Python and/or TypeScript Experience creating developer-focused documentation and self-service solutions that enable teams to easily self-serve Strong customer empathy, with a focus on supporting the needs of internal teams (our Prolificos) What you’ll be doing in the role Manage and optimise our Kubernetes clusters in GKE through Terraform Support our compliance with SOC2, ISO-27001, and Cyber Essentials standards in our cloud environments Design and implement golden paths and automation strategies that empower developers to self-serve while reducing operational complexity Create and m

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. THIS POSITION IS ONSITE LOCATED IN SAN ANTONIO, TEXAS. ACTIVE SECRET CLEARANCE REQUIRED IN ORDER TO APPLY. Role Description: Defense Unicorns is seeking a Platform Engineer to support the deployment and maintenance of UDS within a secure, bare-metal environment. You will serve as a bridge between application teams and the platform, advocating best practices and helping ensure that the platform is reliable, secure, and scalable. The ideal candidate is a strong problem-solver with hands-on experience in Kubernetes, bare-metal or on-premises infrastructure, and deploying applications onto Kubernetes-based platforms. Responsibilities: The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Support the architecture, deployment, configuration, and testing of bare-metal infrastructure, including GPU compute, storage, and networking Deploy, configure, maintain, and troubleshoot UDS and Kubernetes-based platform services Develop and manage infrastructure as code (IaC) and configuration to enable consistent, repeatable deployments Support secure software delivery, including container images, registries, packages, and deployment artifacts Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve deployment challenges Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve platform challenges Travel Expectations/Requirements: 15-25% Preferred Experience and Qualifications: Active Secret clearance required. Experience deploying and operating Kubernetes or containerized platforms in bare-metal or on

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Platform Engineer to support the deployment and maintenance of UDS within a secure, bare-metal environment. You will serve as a bridge between application teams and the platform, advocating best practices and helping ensure that the platform is reliable, secure, and scalable. The ideal candidate is a strong problem-solver with hands-on experience in Kubernetes, bare-metal or on-premises infrastructure, and deploying applications onto Kubernetes-based platforms. Responsibilities: The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Support the architecture, deployment, configuration, and testing of bare-metal infrastructure, including GPU compute, storage, and networking Deploy, configure, maintain, and troubleshoot UDS and Kubernetes-based platform services Develop and manage infrastructure as code (IaC) and configuration to enable consistent, repeatable deployments Support secure software delivery, including container images, registries, packages, and deployment artifacts Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve deployment challenges Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve platform challenges Travel Expectations/Requirements: 10%-15% Preferred Experience and Qualifications: Active Secret/Top Secret Security Clearance Experience deploying and operating Kubernetes or containerized platforms in bare-metal or on-premises environments (deploying, managing, and troubleshooting clusters and workloads) Experience wi

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all can

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that benefits all of humanity. As a Software Engineer on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. About the Role We are looking for a Software Engineer to join our team to build tools and services that enable AI research, evaluation, and data generation workflows. The best work in this role will start with an ambiguous design question and turn it into working research systems. You will work closely with researchers, designers, and engineers to build the evaluation systems, synthetic data generation pipelines, review tools, and supporting platform services. The goal is to make these workflows easier to create, run, and trust without requiring bespoke engineering support for each new design concept. You will help ensure that research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide useful evidence for product and model-training decisions while the underlying systems remain reliable and reusable. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build web applications, APIs, data models, and backend services for AI research workflows. Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts. Automate evaluation runs and generate useful reports for design, research, and engineering teams. Support synthetic data generation workflows for multimodal and conversational research, including tools that comb

About the team MongoDB Technical Services Engineers will combine exceptional problem solving and communication skills with deep technical experience to advise customers and solve complex MongoDB problems. They are experts in components of the MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems), and MongoDB Atlas. They combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Milan for our hybrid working model (Tues-Sat Shift). Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In this specific role, starting from the MongoDB database, you will also focus on the performance of our Cloud platform Atlas and its supported services. You will help both frontend and backend developers build next generation applications on MongoDB platform. Finally, MongoDB Technical Services puts a strong focus on engineers enabling their peers to be successful by sharing newly gained technical knowledge with the tea

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay current with ad

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay curre

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. As a Global Technology Service Engineer, you will serve as a primary point of contact for global technology support requests. You will diagnose and resolve technical issues across end-user computing platforms, enterprise applications, and collaboration tools while delivering professional, high-quality support experience. Engineers in this role are expected to operate with strong technical judgment, resolve issues beyond basic troubleshooting, and contribute to the continuous improvement of our support operations. What you’ll do Provide high‑quality technical support via phone, chat, email, and self‑service channels while delivering white‑glove service to global employees. Diagnose and resolve incidents across end‑user technologies (Windows/Mac), Microsoft 365, collaboration tools, financial/trading apps, mobile devices, and enterprise applications. Troubleshoot identity, networking, and endpoint issues including Active Directory, VPN, device configuration, endpoint management, and mobile device management. Deliver first‑contact resolution whenever possible while logging, categorizing, prioritizing, and managing tickets in the ITSM platform according to SLAs. Escalate complex issues with clear technical documentation, diagnostic details, and handoff notes to downstream support teams. Create, improve, and maintain knowledge base content, capturing troubleshooting steps, solutions, and best practices. Participate in structured shift handovers and

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excel

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from