Build and optimize batch and streaming data pipelines while extracting and modeling diverse structured and unstructured datasets. Apply machine learning techniques and AI-powered development tools to extract value and accelerate software delivery.
Remote Platform Engineer Jobs (1,770)
Search = Platform Engineer
Build and maintain core platform components including SSO, networking, and CI/CD pipelines while managing AWS landing zones and container clusters. Design platform 'golden paths' and provide self-service tools to enable fast and secure deployments for distributed teams.
Build and maintain core platform components including SSO, networking, and CI/CD pipelines while managing AWS landing zones and container orchestration. Design platform 'golden paths' and provide self-service tools to enable fast, secure deployments for distributed teams.
Sovereign AI Platform Engineer - T Cloud Public (REF5674Y)
Deutsche Telekom IT Solutions
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Full Time
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6 Weeks Ago
Deutsche Telekom IT Solutions
Design, build, and operate a sovereign AI toolchain and Kubernetes environments optimized for AI inference and orchestration in isolated settings. Manage open-source LLM stacks, GPU-enabled environments, and secure platform operations to ensure data sovereignty.
Lead the engineering, optimization, and scaling of SOC platform capabilities focusing on CrowdStrike SIEM, SOAR, and EDR. Develop automated incident response workflows, detection content, and support SOC transformation initiatives.
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Build agentic workflows and internal developer tooling to enhance the SDLC and platform reliability. Drive fleet-wide technical changes, improve production observability, and partner with product teams to standardize architectural direction.
![Sourcegraph is hiring for remote Software Engineer - Platform [IC3]](/assets/2fd73add-04c4-43ba-8630-2cbe552bec01.jpg){kind=small}
Develop inter-cloud connectivity solutions and a control plane to orchestrate single-tenant Sourcegraph Cloud instances. Build and expose complex infrastructure as APIs to improve internal iteration and operational excellence.
Build a high-performance AI platform and backend in Rust to power an AI-native trading experience. Design robust APIs and safe action infrastructure for trading workflows, including orchestration of models and tools.
Design and build a next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times. Develop automation toolkits for firmware management and integrate VPC networking for bare metal instances.
(Senior) Platform Engineer (all genders)
Kaufland e-commerce
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Full Time
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6 Weeks Ago
Kaufland e-commerce
Act as a proactive partner to development teams by delivering value-driven platform solutions and maintaining critical services like GitLab, Vault, and Datadog. Focus on simplifying the developer experience through tools like Backstage and implementing custom features in Go and Typescript.
Build and operate Radar's infrastructure, developer platform, and data systems to support 1 billion daily API calls. Responsibilities include improving observability, automating deployments, and integrating security practices into the SDLC.
Develop and implement data architectures and pipelines leveraging Snowflake to support business needs such as BI and AI/ML. Collaborate with stakeholders to translate client challenges into technical requirements and provide leadership to data engineering teams.
Design and develop applications in Power Apps and create automated workflows using Power Automate. Manage data models in Dataverse and utilize SharePoint as a data source while collaborating on system integrations.
Lead the design and operation of the infrastructure powering Cake's AI platform, focusing on Kubernetes-native systems and cloud environments. You will translate customer ML use cases into scalable platform capabilities while mentoring other engineers.
Build and evolve internal platforms and services that abstract infrastructure complexity for product teams. Develop automation, integrations, and reusable platform blocks using a 'platform as a product' mindset.
Senior Microsoft 365 Platform Engineer
RepliGen Corporation
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Full Time
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6 Weeks Ago
RepliGen Corporation
Responsible for the engineering, administration, and governance of Microsoft 365 collaboration, identity, and endpoint management platforms. This includes managing hybrid identity services, automating operational efficiency via PowerShell, and partnering with cybersecurity teams to implement security controls.
Develop and maintain application hosting infrastructure on Kubernetes within GCP, focusing on automation and security. Responsibilities include designing scalable infrastructure, implementing CI/CD pipelines, and optimizing cloud spending.
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Design and maintain cloud-native platforms to support AI and data workloads using Databricks and AWS Bedrock. Build scalable data pipelines and integrate LLMs into production systems using RAG architectures.
IoT Platform Engineer (Java + AWS + IoT Core)
Vrinda International
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Full Time
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6 Weeks Ago
Vrinda International
The IoT Platform Engineer will join the engineering team to build enterprise-grade IoT connectivity platforms. This role requires extensive experience in developing and managing IoT solutions.
Machine Learning/Operations Research Platform Engineer
Kinaxis Inc.
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Full Time
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6 Weeks Ago
Kinaxis Inc.
Build infrastructure and software for training, deploying, and scaling machine learning models and optimization algorithms within supply chain applications. Translate real-world supply chain use cases into mathematical models and lead the design of ML systems.
Maintain the health of the data platform by monitoring infrastructure, troubleshooting failures, and automating manual toil. Build and deploy infrastructure through code while supporting data pipelines and platform migrations.
Maintain and optimize the data platform by monitoring infrastructure, automating workflows, and managing access controls. Build and troubleshoot data pipelines while supporting the migration from legacy stacks to a modern platform.
Senior Data Platform Engineer- Weights & Biases
Weights & Biases
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Full Time
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6 Weeks Ago
Weights & Biases
Expand and maintain the data platform while partnering with core engineering to improve product telemetry. The role involves migrating build tools, creating a data catalog, and developing internal AI agents for data workflows.
Design and maintain scalable AWS infrastructure and CI/CD pipelines to support AI-powered fundraising tools. Partner with ML and engineering teams to operationalize LLM workflows and improve system reliability and observability.
Build and maintain full stack features using JavaScript and Python while managing CI/CD pipelines and infrastructure automation. Support AWS-based services and collaborate on system observability and security compliance initiatives.
Senior Engineer, Platform & Data
Mosaic Pediatric Therapy
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Full Time
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6 Weeks Ago
Mosaic Pediatric Therapy
Establish engineering standards and operational practices for a growing ecosystem of internal AI-enabled tools and applications. Own and extend the Azure Fabric Lakehouse architecture and data pipelines to support operational analytics and reporting.
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Design and develop a scalable, enterprise-grade IoT connectivity platform focusing on real-time data ingestion and REST API services. Lead technical architecture decisions and mentor engineering teams while implementing event-driven and serverless microservices on AWS.
Lead the design, modernization, and evolution of enterprise data platforms using Informatica IDMC and Databricks Lakehouse. Act as the primary technical reference for clients and architects while managing data governance, migration strategies, and FinOps optimization.
Design and evolve the internal engineering platform to improve developer experience and software delivery speed. Implement observability, reliability metrics, and automation to ensure system stability and scalability.
Mainframe & z/OS Platform Engineer (Network, Systems Programming & Batch Operations)
Kyndryl
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Full Time
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7 Weeks Ago
Kyndryl
Administer, operate, and optimize Red Hat OpenShift clusters across on-premises and cloud environments to ensure high availability and security. Collaborate with DevOps and SRE teams to implement automation, CI/CD pipelines, and GitOps practices for critical business applications.
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