Platform Support Engineer Jobs

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . We are seeking a seasoned Principal Platform Engineer to lead the evolution and performance of our Kubernetes-based production environment. In this role, you will drive reliability, scalability, and observability across mission-critical systems while working hands-on with Kubernetes, GCP, Terraform, and modern infrastructure automation. You will partner closely with Engineering and Support teams to optimize system performance, influence architectural decisions, and build resilient platforms that enable business growth at scale. Responsibilities: Maintain, scale, and enhance our Kubernetes production platform Improve the performance, reliability, and availability of production systems Ensure comprehensive observability across services, infrastructure, and applications (metrics, logs, traces, alerts) Diagnose and tune database and service performance across distributed systems Partner with Development teams to assess platform impact of new features and architectural changes Identify workflow friction and contribute to scalable, resilient technical solutions Collaborate with Support teams to build and maintain operational runbooks and impro

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 join our platform team — a combined DevOps and Site Reliability Engineering team responsible for the development, maintenance, and reliability of a cloud-based platform environment. The ideal candidate is a strong problem-solver with hands-on experience in Kubernetes, cloud infrastructure, and CI/CD, and is motivated by building and improving the systems that other teams depend on. In this role, you will work across infrastructure as code, automated deployments, identity and access management, monitoring, and CI/CD pipelines. 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. You should be comfortable operating in ambiguity, contributing to documentation and standards where they exist, and building them where they don’t. Responsibilities: Build, maintain, and improve Kubernetes clusters and containerized application deployments across cloud environments (AWS, EKS, RKE2) Develop and manage infrastructure as code (IaC) to provision and configure platform resources consistently and repeatably Own and improve CI/CD pipelines, including GitLab CI configuration, runner deployments, and automated build and deployment workflows Support identity and access management through tools such as Keycloak, including user onboarding, role configuration, and troubleshooting Implement and maintain monitoring, alerting, and logging to ensure platform health and support incident investigation Manage certificate lifecycle operations, including renewal of public certificates and related automation Contribute to platform security posture through container security practices, Iron Bank image compliance, and support for ATO processes Collaborate with application teams to troubleshoot deployment issues, broke

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE AN ACTIVE SECRET CLEARANCE TO APPLY. Defense Unicorns is seeking a Platform Engineer to join our platform team — a combined DevOps and Site Reliability Engineering team responsible for the development, maintenance, and reliability of a cloud-based platform environment. The ideal candidate is a strong problem-solver with hands-on experience in Kubernetes, cloud infrastructure, and CI/CD, and is motivated by building and improving the systems that other teams depend on. In this role, you will work across infrastructure as code, automated deployments, identity and access management, monitoring, and CI/CD pipelines. 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. You should be comfortable operating in ambiguity, contributing to documentation and standards where they exist, and building them where they don’t. Responsibilities Build, maintain, and improve Kubernetes clusters and containerized application deployments across cloud environments (AWS, EKS, RKE2) Develop and manage infrastructure as code (IaC) to provision and configure platform resources consistently and repeatably Own and improve CI/CD pipelines, including GitLab CI configuration, runner deployments, and automated build and deployment workflows Support identity and access management through tools such as Keycloak, including user onboarding, role configuration, and troubleshooting Implement and maintain monitoring, alerting, and logging to ensure platform health and support incident investigation Manage certificate lifecycle operations, including renewal of public certificates and related automation Contribute to platform security posture through container security practices, Iron Bank image compliance, and support for ATO processes Collaborate with application teams to troubleshoot deployment issues, broken

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for an Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, and product

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

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, an

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportuni

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. As a SE II Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of systems and software engineers who support the design and lifecycle of our hosted products. You will work closely with product engineers to support their infrastructure needs, ideally in a self-service environment. What you’ll do: Contribute to platform features across compute, authentication, service discovery, observability, and redundancy Implement architectural solutions under the guidance of senior engineers, with a growing awareness of tradeoffs between scale, cost, and maintenance Support and mentor junior engineers through code reviews and knowledge sharing Help deploy an

Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions. In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows. You will also leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data. Working closely with cross-functional teams, you will help shape a modern data platform that accelerates innovation while ensuring security, reliability, and operational excellence. Your Impact: Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance. Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products. Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling About you: 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure Hands-on experience with modern data architectures, including data lakes, lakehouses, warehouses, analytical datast

Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth. As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy. What you’ll do: Lead the design and implementation of complex data pipelines and infrastructure across multiple domains Mentor junior engineers, sharing expertise and raising team-wide engineering standards Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs Participate in on-call rotations to support critical platform jobs and reduce operational disruptions Champion a culture of exce

We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start. The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. The role As a Technical Services Engineer, you will help customers build, deploy, and operate AI applications on a new MongoDB platform. You will investigate issues across application behavior, agent workflows, APIs, cloud infrastructure, and data services, while contributing to the broader MongoDB Technical Services organization as customer needs evolve. This role is a strong fit for an engineer who enjoys learning new technologies, working directly with customers, and applying structured troubleshooting to complex systems. What you need Supporting customers and internal stakeholders working with AI applications and agentic workflows Investigating issues involving LangGraph execution, MCP and tool integrations, model-provider behavior, memory, checkpoints, streaming, retries, and timeouts Reading and debugging, Go, Typescript and Python services and agent implementations Troubleshooting Docker and Kubernetes workloads, including deployments, containers, networking, secrets, resource failures, and deployment configuration Using logs, metrics, traces, and application errors to form hypotheses and identify root causes Troubleshooting MongoDB Atlas connectivity, authentication, TLS, network access, indexing, and vect

We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start. The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully. We are looking to speak to candidates based in Mexico City for our hybrid working model. The role As a Senior Technical Services Engineer, you will provide technical leadership for customers operating AI applications on a new MongoDB platform. You will own complex investigations across application behavior, agent workflows, APIs, cloud infrastructure, security, and data services, and help shape how Technical Services supports the platform as it scales. This is a senior individual contributor role where you lead through technical judgment, customer ownership, written communication, and influence across teams. What you’ll do Owning complex and high-impact customer investigations involving AI applications and agentic workflows Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts Reading and debugging Go, Typescript, Python services and agent implementations; using logs, metrics, traces, and diagnostic tooling to develop evidence-based conclusions Troubleshoot Kubernetes and containerized workloads, including deployments, images, secrets, resource failures, and networking Serving as a technical subject-matter expert for

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Build Platform Team At Wealthsimple, the Build Platform team is on a mission to make developing great software fast, intuitive, and enjoyable. We believe engineers should focus on building incredible features for our clients, not fighting their environment. Our job is to clear the path. We do this by treating our platform as a product. Our internal developers are our customers, and their success is our primary measure of impact. As a Developer on our team, you won't just be building tools; you'll be shaping the entire developer journey at Wealthsimple. From their first day onboarding to their thousandth code submission, you'll be making the experience seamless. You will support a diverse engineering organization that uses Ruby, Python, Kotlin, and TypeScript to build the future of finance. Your work will directly empower hundreds of developers to ship high-quality, secure code to millions of users with confidence and speed. The most interesting problem on our plate right now is AI. When agents write a large share of the code, the bottleneck stops being how fast you can produce a change and starts being how fast you can trust one. That makes verification the constraint on the whole company: reproducible environments, test signal you can believe, and feedback loops tight enough that an agent catches its own mistakes before a human eve

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