Job Description Job: Software Development Manager - Mobile Technologies Location: Miami, FL (Hybrid) Job Type: Direct Hire What We Are Looking For We are seeking a Software Development Manager for Mobile Engineering to lead the team responsible for the architecture, development, delivery, and operation of large-scale React Native mobile applications supporting a 3M+ user install base. In this role, you will lead and grow engineers while staying close to the code-shaping architecture, reviewing critical changes, and working directly with the team to solve complex technical and production challenges. You will own the technical direction of the mobile platform and help evolve it toward a modern, modular (Superapp-style) architecture that can support multiple products, teams, and customer journeys. You'll help define how React Native and Expo are used end-to-end-from app structure and native integrations to CI/CD, over-the-air updates, observability, performance, and App Store / Google Play delivery. You will partner closely with Product, Design, Platform, and engineering leadership to translate business priorities into a mobile platform that can move quickly without sacrificing quality or maintainability. Responsibilities Own the technical direction and architecture of React Native applications across iOS and Android, balancing product velocity, performance, reliability, and long-term maintainability Design and evolve a modular, Superapp-style mobile architecture with clear feature boundaries, shared platform services, and reusable capabilities (authentication, navigation, analytics, experimentation, notifications, design system components, etc.) Lead adoption and best practices for modern React Native and Expo, including React Native New Architecture, Expo SDK, Expo Modules, and appropriate native escape hatches where platform-specific functionality is required Define and operate a safe over-the-air update strategy (Expo Updates / EAS Update), including runtime compatibility, release channels, staged rollouts, rollback, and clear rules for when a native store release is required Own mobile build and release engineering, including CI/CD tooling (EAS Build/Submit or equivalent), code signing, App Store and Google Play releases, release automation, and environment management Act as a hands-on technical leader: participate in design sessions, review critical pull requests, prototype/code high-leverage work, and jump into difficult debugging or production issues alongside the team Drive mobile performance and quality through measurable engineering practices (startup time, rendering performance, bundle size, memory use, crashes, ANRs, network behavior, and overall reliability) Establish strong observability and operational practices for mobile, including crash reporting, logging, release health, analytics, and rapid diagnosis of production regressions Create architecture standards and engineering guardrails for navigation, state management, data access, offline behavior, deep linking, feature flags, testing, dependency management, and native module usage Partner with backend and platform teams to design mobile-friendly APIs and service contracts; collaborate with Product and Design to deliver cohesive experiences across multiple mobile products and customer journeys Coach, mentor, and develop engineers; provide clear technical feedback, set expectations, and ensure meaningful career growth paths Continuously improve team execution and developer experience by reducing build friction, improving automation/testing, simplifying local development, and eliminating unnecessary process Qualifications Required Bachelor's degree in Computer Science (or related field) or equivalent practical experience 8+ years of software engineering experience, including significant experience building and operating production mobile applications 2+ years leading or managing software development teams while remaining technically engaged Deep experience with React Native, React, and TypeScript/JavaScript, including shipping a shared codebase to both iOS and Android Experience architecting large or multi-team mobile applications using modular architecture, shared packages/platform layers, monorepos, or Superapp-style patterns Strong experience with Expo and the modern Expo ecosystem (Expo SDK and EAS services such as Build, Submit, and Update); experience with expo-updates is especially valuable Understanding of React Native New Architecture concepts (Fabric, TurboModules, JSI/Codegen) and how they affect library selection, performance, and native integrations Experience designing safe mobile release strategies across App Store / Google Play releases and over-the-air JavaScript/asset updates Strong understanding of mobile CI/CD, automated testing, code signing, environment management, release automation, and production support Experience with mobile observability and performance tooling (crash reporting, release health, diagnosing production performance issues) Strong understanding of client/server architecture and APIs (REST and/or GraphQL), authentication, caching, network resilience, and mobile-specific API concerns Strong communication skills and the ability to make architecture decisions clear to engineers, product partners, and other technology leaders Preferred Qualifications Experience building and maintaining systems in a cloud environment (AWS preferred)
11/14/2026
Full time
Job Description Job: Software Development Manager - Mobile Technologies Location: Miami, FL (Hybrid) Job Type: Direct Hire What We Are Looking For We are seeking a Software Development Manager for Mobile Engineering to lead the team responsible for the architecture, development, delivery, and operation of large-scale React Native mobile applications supporting a 3M+ user install base. In this role, you will lead and grow engineers while staying close to the code-shaping architecture, reviewing critical changes, and working directly with the team to solve complex technical and production challenges. You will own the technical direction of the mobile platform and help evolve it toward a modern, modular (Superapp-style) architecture that can support multiple products, teams, and customer journeys. You'll help define how React Native and Expo are used end-to-end-from app structure and native integrations to CI/CD, over-the-air updates, observability, performance, and App Store / Google Play delivery. You will partner closely with Product, Design, Platform, and engineering leadership to translate business priorities into a mobile platform that can move quickly without sacrificing quality or maintainability. Responsibilities Own the technical direction and architecture of React Native applications across iOS and Android, balancing product velocity, performance, reliability, and long-term maintainability Design and evolve a modular, Superapp-style mobile architecture with clear feature boundaries, shared platform services, and reusable capabilities (authentication, navigation, analytics, experimentation, notifications, design system components, etc.) Lead adoption and best practices for modern React Native and Expo, including React Native New Architecture, Expo SDK, Expo Modules, and appropriate native escape hatches where platform-specific functionality is required Define and operate a safe over-the-air update strategy (Expo Updates / EAS Update), including runtime compatibility, release channels, staged rollouts, rollback, and clear rules for when a native store release is required Own mobile build and release engineering, including CI/CD tooling (EAS Build/Submit or equivalent), code signing, App Store and Google Play releases, release automation, and environment management Act as a hands-on technical leader: participate in design sessions, review critical pull requests, prototype/code high-leverage work, and jump into difficult debugging or production issues alongside the team Drive mobile performance and quality through measurable engineering practices (startup time, rendering performance, bundle size, memory use, crashes, ANRs, network behavior, and overall reliability) Establish strong observability and operational practices for mobile, including crash reporting, logging, release health, analytics, and rapid diagnosis of production regressions Create architecture standards and engineering guardrails for navigation, state management, data access, offline behavior, deep linking, feature flags, testing, dependency management, and native module usage Partner with backend and platform teams to design mobile-friendly APIs and service contracts; collaborate with Product and Design to deliver cohesive experiences across multiple mobile products and customer journeys Coach, mentor, and develop engineers; provide clear technical feedback, set expectations, and ensure meaningful career growth paths Continuously improve team execution and developer experience by reducing build friction, improving automation/testing, simplifying local development, and eliminating unnecessary process Qualifications Required Bachelor's degree in Computer Science (or related field) or equivalent practical experience 8+ years of software engineering experience, including significant experience building and operating production mobile applications 2+ years leading or managing software development teams while remaining technically engaged Deep experience with React Native, React, and TypeScript/JavaScript, including shipping a shared codebase to both iOS and Android Experience architecting large or multi-team mobile applications using modular architecture, shared packages/platform layers, monorepos, or Superapp-style patterns Strong experience with Expo and the modern Expo ecosystem (Expo SDK and EAS services such as Build, Submit, and Update); experience with expo-updates is especially valuable Understanding of React Native New Architecture concepts (Fabric, TurboModules, JSI/Codegen) and how they affect library selection, performance, and native integrations Experience designing safe mobile release strategies across App Store / Google Play releases and over-the-air JavaScript/asset updates Strong understanding of mobile CI/CD, automated testing, code signing, environment management, release automation, and production support Experience with mobile observability and performance tooling (crash reporting, release health, diagnosing production performance issues) Strong understanding of client/server architecture and APIs (REST and/or GraphQL), authentication, caching, network resilience, and mobile-specific API concerns Strong communication skills and the ability to make architecture decisions clear to engineers, product partners, and other technology leaders Preferred Qualifications Experience building and maintaining systems in a cloud environment (AWS preferred)
Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.
11/14/2026
Full time
Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.
Job Description We are seeking a Senior Platform Engineer to help evolve and scale a modern Kubernetes-based infrastructure platform supporting mission-critical applications and engineering teams. This role is focused on platform reliability, automation, infrastructure engineering, and improving developer productivity through cloud-native technologies and DevOps best practices. The ideal candidate has strong Kubernetes expertise, hands-on Golang development experience, and a deep understanding of distributed systems, infrastructure automation, observability, and production operations. This is a remote-friendly role with flexible hours, provided there is overlap with Eastern Time business hours. Responsibilities Design, maintain, and improve highly available Kubernetes-based infrastructure platforms Partner with development, SRE, networking, and infrastructure teams to gather requirements and deliver scalable platform solutions Build and enhance automation tooling, CI/CD pipelines, and GitOps workflows Customize and extend open-source platform components written in Golang Contribute fixes, enhancements, and integrations to internally maintained platform tooling Support zero-downtime deployments, upgrades, and platform migrations Improve cluster observability, monitoring, logging, and alerting capabilities Automate issue detection, remediation, and operational workflows Assist application teams with onboarding workloads into Kubernetes environments Help modernize legacy applications for containerized deployment architectures Evaluate and test emerging platform technologies and infrastructure tooling Required Qualifications Strong production experience operating Kubernetes environments Hands-on Golang development experience Deep understanding of Kubernetes architecture, APIs, control plane, and node operations Experience implementing GitOps workflows using tools such as Argo CD or Flux Experience building automation and infrastructure tooling Experience with Helm and Kubernetes application packaging Experience with CI/CD pipeline design and implementation Strong Linux systems and networking knowledge Experience with ingress, reverse proxies, or service networking technologies Experience implementing monitoring and observability using Prometheus or similar tooling Experience with centralized logging and operational visibility platforms Strong troubleshooting and production incident response skills Preferred Qualifications Experience contributing to or modifying open-source infrastructure tooling Experience with Kubernetes networking and traffic management concepts Familiarity with cloud-native infrastructure patterns and distributed systems Experience with highly available infrastructure deployments Experience with persistent storage orchestration in containerized environments Familiarity with cloud providers or hybrid infrastructure environments Experience supporting developer enablement and platform engineering initiatives Additional Information Remote-first engineering environment High-impact infrastructure and platform ownership Collaborative engineering culture with strong automation focus Opportunity to influence platform architecture and engineering standards
11/14/2026
Full time
Job Description We are seeking a Senior Platform Engineer to help evolve and scale a modern Kubernetes-based infrastructure platform supporting mission-critical applications and engineering teams. This role is focused on platform reliability, automation, infrastructure engineering, and improving developer productivity through cloud-native technologies and DevOps best practices. The ideal candidate has strong Kubernetes expertise, hands-on Golang development experience, and a deep understanding of distributed systems, infrastructure automation, observability, and production operations. This is a remote-friendly role with flexible hours, provided there is overlap with Eastern Time business hours. Responsibilities Design, maintain, and improve highly available Kubernetes-based infrastructure platforms Partner with development, SRE, networking, and infrastructure teams to gather requirements and deliver scalable platform solutions Build and enhance automation tooling, CI/CD pipelines, and GitOps workflows Customize and extend open-source platform components written in Golang Contribute fixes, enhancements, and integrations to internally maintained platform tooling Support zero-downtime deployments, upgrades, and platform migrations Improve cluster observability, monitoring, logging, and alerting capabilities Automate issue detection, remediation, and operational workflows Assist application teams with onboarding workloads into Kubernetes environments Help modernize legacy applications for containerized deployment architectures Evaluate and test emerging platform technologies and infrastructure tooling Required Qualifications Strong production experience operating Kubernetes environments Hands-on Golang development experience Deep understanding of Kubernetes architecture, APIs, control plane, and node operations Experience implementing GitOps workflows using tools such as Argo CD or Flux Experience building automation and infrastructure tooling Experience with Helm and Kubernetes application packaging Experience with CI/CD pipeline design and implementation Strong Linux systems and networking knowledge Experience with ingress, reverse proxies, or service networking technologies Experience implementing monitoring and observability using Prometheus or similar tooling Experience with centralized logging and operational visibility platforms Strong troubleshooting and production incident response skills Preferred Qualifications Experience contributing to or modifying open-source infrastructure tooling Experience with Kubernetes networking and traffic management concepts Familiarity with cloud-native infrastructure patterns and distributed systems Experience with highly available infrastructure deployments Experience with persistent storage orchestration in containerized environments Familiarity with cloud providers or hybrid infrastructure environments Experience supporting developer enablement and platform engineering initiatives Additional Information Remote-first engineering environment High-impact infrastructure and platform ownership Collaborative engineering culture with strong automation focus Opportunity to influence platform architecture and engineering standards
Job Description Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
11/14/2026
Full time
Job Description Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
Job Description JCW has partnered with a leading digital assets and data center infrastructure firm to identify a Vice President, DevOps/SRE to lead their infrastructure automation platform across data center operations. Based in Chicago, this is a senior technical leadership role for a DevOps/SRE professional who can steer an enterprise automation roadmap while remaining hands-on enough to dive into the code. The ideal candidate treats infrastructure as a product and has a proven track record building self-service automation platforms in complex hybrid environments. They are equally comfortable setting IaC governance standards and mentoring a team of engineers. This individual operates with an automate-first mindset, drives engineering velocity, and brings deep expertise across Terraform, Ansible, and VMware in large-scale environments. Key Qualifications 6-10 years of experience in infrastructure, DevOps, or SRE with a focus on automation at scale Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX) Hands-on experience with image creation tooling (Packer, SCCM) for hardened Windows and Linux builds in hybrid environments Strong experience managing and automating VMware (vSphere/vCenter) and cloud platforms (Azure, AWS) High-level scripting skills across Python, Go, PowerShell, and Bash Experience with observability tools such as Splunk, ELK, Prometheus, or Grafana Strong mastery of Git branching strategies and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions) Understanding of network topology with experience on platforms such as Juniper or Palo Alto Prior team leadership or management experience strongly preferred
11/14/2026
Full time
Job Description JCW has partnered with a leading digital assets and data center infrastructure firm to identify a Vice President, DevOps/SRE to lead their infrastructure automation platform across data center operations. Based in Chicago, this is a senior technical leadership role for a DevOps/SRE professional who can steer an enterprise automation roadmap while remaining hands-on enough to dive into the code. The ideal candidate treats infrastructure as a product and has a proven track record building self-service automation platforms in complex hybrid environments. They are equally comfortable setting IaC governance standards and mentoring a team of engineers. This individual operates with an automate-first mindset, drives engineering velocity, and brings deep expertise across Terraform, Ansible, and VMware in large-scale environments. Key Qualifications 6-10 years of experience in infrastructure, DevOps, or SRE with a focus on automation at scale Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX) Hands-on experience with image creation tooling (Packer, SCCM) for hardened Windows and Linux builds in hybrid environments Strong experience managing and automating VMware (vSphere/vCenter) and cloud platforms (Azure, AWS) High-level scripting skills across Python, Go, PowerShell, and Bash Experience with observability tools such as Splunk, ELK, Prometheus, or Grafana Strong mastery of Git branching strategies and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions) Understanding of network topology with experience on platforms such as Juniper or Palo Alto Prior team leadership or management experience strongly preferred
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Now Brewing - Software Engineer! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As an Engineer, you'll help deliver high-quality, reliable, and stable technologies and security capabilities that enable teams to build, release, and operate software with confidence. You'll support critical engineering capabilities through installation, configuration, monitoring, analysis, maintenance, and technical support-while modeling Starbucks guiding principles. As an Engineer, you will Enable fast, reliable delivery by supporting development teams, resolving developer issues, and engineering build and release processes. Strengthen reliability and observability by implementing service monitoring, deep telemetry, and high-availability operational support-automating solutions across the environment. Build secure and compliant foundations by implementing technologies aligned to information security principles, maintaining secure configurations/baselines, and upholding applicable policies and regulatory requirements. We'd love to hear from people with: 0-4 years of professional industry experience with software development Bachelor's degree in Computer Science or related field Preferred qualifications Systems & production operations : 1+ years in systems/network administration or systems engineering, plus hands-on production support (monitoring/telemetry, troubleshooting, incident response; 24x7/on-call a plus ). Automation & coding: 1+ years coding/scripting for automation in Python, Java, Go, or C/C++ (Ruby/Perl also welcome) with strong debugging skills. Cloud & delivery tooling: experience with AWS/Azure and exposure to CI/CD or build/release tooling and automation. Core technical foundations: working knowledge of distributed systems, TCP/IP networking (DNS/routing), and databases/data stores (SQL/NoSQL). As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to . If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or .
10/02/2026
Full time
Now Brewing - Software Engineer! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As an Engineer, you'll help deliver high-quality, reliable, and stable technologies and security capabilities that enable teams to build, release, and operate software with confidence. You'll support critical engineering capabilities through installation, configuration, monitoring, analysis, maintenance, and technical support-while modeling Starbucks guiding principles. As an Engineer, you will Enable fast, reliable delivery by supporting development teams, resolving developer issues, and engineering build and release processes. Strengthen reliability and observability by implementing service monitoring, deep telemetry, and high-availability operational support-automating solutions across the environment. Build secure and compliant foundations by implementing technologies aligned to information security principles, maintaining secure configurations/baselines, and upholding applicable policies and regulatory requirements. We'd love to hear from people with: 0-4 years of professional industry experience with software development Bachelor's degree in Computer Science or related field Preferred qualifications Systems & production operations : 1+ years in systems/network administration or systems engineering, plus hands-on production support (monitoring/telemetry, troubleshooting, incident response; 24x7/on-call a plus ). Automation & coding: 1+ years coding/scripting for automation in Python, Java, Go, or C/C++ (Ruby/Perl also welcome) with strong debugging skills. Cloud & delivery tooling: experience with AWS/Azure and exposure to CI/CD or build/release tooling and automation. Core technical foundations: working knowledge of distributed systems, TCP/IP networking (DNS/routing), and databases/data stores (SQL/NoSQL). As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to . If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or .
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
09/30/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
09/29/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
09/29/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
09/28/2026
Full time
Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
