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We are seeking a highly skilled Ceph Cluster Development & Operations Engineer with strong expertise in C++ systems programming to design, extend, and maintain enterprise-scale Ceph distributed storage clusters. The role involves deep development in Ceph core subsystems (RADOS, OSD, RGW, MDS), performance optimization, and operational excellence across multi-site, multi-zone architectures. You will work closely with system architects, SREs, and cloud infrastructure teams to ensure the reliability, scalability, and security of mission-critical storage systems deployed across multiple data centers and Kubernetes environments. Key Responsibilities • Design, build, and operate large-scale Ceph clusters including RADOS, RGW, RBD, • Contribute to or extend Ceph core components written in C++ (e.g., OSD, RGW, librados, BlueStore, MGR modules)., • Profile and optimize performance across network, disk I/O, and replication layers (PG placement, CRUSH rules, BlueStore tuning)., • Develop automation and tooling for cluster lifecycle management (deployment, upgrades, scaling, failover, and recovery)., • Integrate Ceph with Kubernetes (via Rook-Ceph, CSI drivers) and CI/CD pipelines for continuous delivery., • Implement and validate multi-site replication and disaster recovery architectures for high availability., • Develop and maintain secure storage solutions using dm-crypt, KMS integration, and CephX authentication., • Build observability pipelines using Prometheus, Grafana, and custom exporters for metrics and health analytics., • Write and maintain SOPs, automation scripts, and system documentation to support production-grade operations. Required Skills • Strong proficiency in C++ (C++11 or later), with experience in large-scale distributed systems or kernel-adjacent development., • Deep understanding of Ceph architecture and its core components: MON, OSD, MGR, RGW, MDS, and CRUSH maps., • Proficient in Linux systems programming, debugging (gdb, perf, valgrind), and performance profiling., • Experience with Python or Go for tooling and automation., • Strong foundation in data replication, erasure coding, and consistency models in distributed storage., • Hands-on experience with Kubernetes, Rook-Ceph, Helm, Ansible, and related DevOps tools., • Familiarity with TCP/IP, HTTP/S3 APIs, block storage (RBD/iSCSI), and object storage semantics., • Contributions to the Ceph open-source project or prior experience modifying Ceph source code., • Experience with multi-site replication, object versioning, compliance retention, or legal hold features., • Background in distributed storage systems, file systems, or cloud storage platforms., • Familiarity with containerized environments, network virtualization, and cloud-native observability stacks. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

We are seeking an experienced Cloud Platform Engineer with deep expertise in Red Hat OpenShift and strong Linux systems engineering background. This role will be responsible for designing, building, and operating large-scale OpenShift platforms within on-premises datacenter environments. The ideal candidate will work closely with SRE teams and Program Management to drive the successful implementation, scaling, and operationalization of enterprise-grade OpenShift infrastructure. Key Responsibilities 1. Platform Engineering • Design, deploy, and manage enterprise-scale Red Hat OpenShift clusters in on-prem datacenter environments., • Architect highly available, scalable, and secure OpenShift platforms., • Implement cluster lifecycle management (installation, upgrades, patching, scaling)., • Configure networking, storage, ingress, and security components for OpenShift. 2. Infrastructure Build & Automation • Build and automate infrastructure in datacenter environments (compute, storage, networking)., • Integrate OpenShift with virtualization platforms (VMware/other hypervisors as applicable)., • Develop Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, or similar., • Implement CI/CD pipelines for platform deployments and updates. 3. Linux Systems Engineering • Provide deep Linux system administration and troubleshooting support., • Optimize OS-level configurations for performance, reliability, and security., • Automate system configuration and compliance management., • Diagnose and resolve complex kernel, networking, and storage issues. 4. Reliability & Operations • Partner closely with the SRE team to establish SLOs, SLIs, monitoring, and alerting., • Drive observability implementation (logging, metrics, tracing)., • Participate in incident management, root cause analysis (RCA), and remediation., • Ensure platform resiliency, performance tuning, and capacity planning. 5. Program & Cross-Functional Collaboration • Work with Program Management to drive large-scale OpenShift implementation milestones., • Provide technical input into roadmap planning, timelines, and risk mitigation., • Collaborate with security, networking, storage, and application teams., • Document architecture, standards, and operational procedures. 6. Security & Compliance • Implement RBAC, security policies, and compliance controls within OpenShift., • Harden clusters according to enterprise security standards., • 5+ years of experience in Linux systems engineering (RHEL preferred)., • 3+ years of hands-on experience with Red Hat OpenShift (OCP 4.x preferred)., • Proven experience building infrastructure in on-prem datacenter environments., • Strong understanding of:, • Kubernetes architecture, • Networking (DNS, load balancing, firewalls, SDN), • Storage (SAN, NAS, CSI drivers), • Virtualization platforms (VMware, etc.), • Experience with automation tools (Terraform, Ansible, GitOps)., • Red Hat certifications (RHCE, OpenShift Certification)., • Experience implementing OpenShift at enterprise scale (multi-cluster environments)., • Experience working in SRE-driven environments., • Knowledge of DevOps/GitOps practices., • Experience with monitoring tools (Prometheus, Grafana, ELK, etc.).

Role: Data Operations Engineer Duration: 9+ Months Location: Cupertino, CA; New York City, NY; Austin, TX (3 days a week client office) Only W2 Acceptable We have had an update from the team that the client would prefer DE's and Data Foundation Engineers to have a background in Scala/Java using Apache Spark. As Data operations engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions. KEY RESPONSIBILITIES • Lead day-to-day operations to ensure organizational delivery of quality results., • Responsible for provisioning, enabling, scaling and maintaining our team’s data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud., • Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users., • Collaborate with the platform team by building the right tools for observability , monitoring, alerting and self-healing for the day to day management of analytics foundations., • Debug complex problems in distributed environment and ability to run the prod incidents efficiently to following up with Post incident reviews., • Developing self-service tools and automation to improve engineering efficiency and the quality of services., • Excellent verbal and written communication skills., • Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities., • Hands-on experience with CI/CD pipelines and cloud environments like Gitlab, Spinnaker, Docker/Kubernetes observability using Splunk, Grafana/Data dog is a huge plus., • Proficient with one or more programming languages such as Python/Go/Rust/Java/Scala for automation and API integrations., • Experience in implementing security controls, governance processes, compliance validation, infrastructure cost analysis and optimization., • Knowledge of analytics and Applied ML stack like Apache Spark, Trino/Pinot, Iceberg, Atlas, Flink, Airflow/Luigi, Tableau, Snowflake, Databricks, MLFlow, Data Catalogs, Jupyter Notebooks, Vector database and Cassandra., • Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling., • Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments. Thanks, and Regards, Durga Yadav Sr. Technical Recruiter Apolis 703 Campus Square West, El Segundo, CA 90245 Direct No.: US +1 / 310 295 9130

At Fortinet, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers. Our team members enjoy solving complex problems, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of b2b customers worldwide. Our team is growing, and we are looking for engineers with passion for automation. You will help support the Lacework platform and play a key role in building, operating, and improving the Lacework Cloud Security Platform, the world's best real-time cloud-native threat detection system. Our team develops and supports the infrastructure layers spanning our cloud accounts, network/connectivity, workload management, observability, and storage services. We build tooling to perform automated operations in order to scale the Lacework infrastructure and service. To be successful you will design, define, develop, deploy and operate internal tooling, APIs, and frameworks which streamline our workflows and automate our infrastructure. The Role: • Automate as much as reasonable to significantly improve operational efficiency of the Lacework platform, • Design, build and improve our infrastructure to enhance service scalability, resiliency, and efficiency across the company., • Identify mission-critical problems and solve them via automation, tooling, communication, and informed design., • Build and improve monitoring and instrumentation to predict future scalability or failure risks and solve them before they manifest into customer-facing issues., • Facilitate company-wide visibility into key metrics, SLAs, and milestones so that scale and resiliency are a part of every conversation., • Develop best practices alongside engineering/operations teams to improve the scalability and reliability of internal processes., • 3 years of Devops/SRE experience with production systems (depending on level), • Strong development and automation skills., • Extensive experience with Infrastructure as Code (Terraform, etc), as well as supporting tooling (Atlantis, ArgoCD, etc), • Extensive experience with Kubernetes and supporting tooling (Helm, operators, etc), • Extensive experience with a variety of cloud managed services and providers, • AWS: EKS, EC2, S3, RDS, Secrets Manager, etc., • Experience building production quality cloud infrastructure that enables reliable and rapid deployment of microservices with effective monitoring and built in high availability and/or fault tolerance., • Strong passion for using automation to create simple repeatable dev and ops patterns that ensures a stable, reliable experience for customers., • Strong cross-team communication skills., • Experience with the building blocks of large-scale systems including load balancing, distributed/cloud computing, containers, instrumentation, and monitoring., • Knowledge of cloud networking, including VPC configuration and cross-cloud connectivity., • Experience with monitoring and observability systems and tools (Prometheus, Grafana, New Relic, DataDog, etc.), • Believe everything should be "as code", • Experience with Java application servers and JVM configuration The US base salary range for this full-time position is $150,000-$195,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.

The application window is expected to close on: 04/04/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Cisco's Cygnus team is building the next-generation Board Support Package (BSP) platform for high-performance routing products powered by Silicon One. We're seeking a Technical Lead to drive the software infrastructure that enables rapid platform onboarding: Data model compilation, Automated device access generation, Observability, and AI-driven tooling. Your work will directly determine how quickly Cisco can bring new hardware platforms to market. As a Technical Leader, Platform Infrastructure & BSP on the Cygnus team, you will develop software consistent with Cisco's Design Thinking Principles with a focus on simplification and reliability at its core. You will partner with hardware, platform, and NOS teams to build scalable infrastructure that absorbs complexity and accelerates engineering velocity. • Own and drive the technical vision and roadmap for platform infrastructure-automated device access generation, observability, test infrastructure and automated UIT generation, and AI-powered tooling, • Architect compiler and code-generation systems that transform hardware specifications into software-consumable data models and device drivers, enabling rapid PID onboarding at scale, • Design and build observability infrastructure-tracing APIs, metrics pipelines, and monitoring systems that provide deep visibility into platform behavior, • Apply AI/ML and LLM-based approaches to accelerate platform development-synthesizing hardware models, automating artifact analysis, intelligent failure triage, and generative tooling, • Lead medium-to-large features from technical design through delivery, often spanning hardware, platform, and NOS teams, • Influence architectural decisions with a focus on scalability, reliability, and developer experience, • Set the engineering quality bar through code, design reviews, and technical documentation, • Mentor engineers, facilitate knowledge sharing, and raise the technical capability of the team, • Communicate delivery trade-offs, negotiate with cross-functional partners, and align on outcomes, • Bachelor's degree + 8 years of related experience, OR Master's degree + 6 years of related experience, OR PhD + 3 years of related experience., • Experience in C and Python programming., • Experience with Linux system administration, shell scripting, and system-level programming., • Experience with CI/CD platforms (e.g., Jenkins, GitHub Actions, or GitLab CI), Docker and containerized development environments., • Experience with observability infrastructure (e.g., tracing, metrics, or logging systems like OpenTelemetry, Prometheus, or Grafana)., • Expert on multiple functional components with ability to lead projects spanning multiple teams. Superb communication skills for cross-team collaboration and stakeholder management., • Experience with software infrastructure for network operating systems (e.g., SONiC, IOS-XR, or NX-OS) or embedded platforms., • Familiarity with Board Support Package (BSP) development or hardware abstraction layers or platform bring-up., • Experience applying AI/ML or LLM-based approaches to software development or artifact analysis, • Experience collaborating with silicon or hardware vendors to build partner ecosystems, • Active participation in open-source communities (e.g., SONiC, OCP). Contributions to knowledge sharing among the wider professional community, including technical blogs or publications At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $183,800.00 to $263,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $183,800.00 - $303,100.00 Non-Metro New York state & Washington state: $163,600.00 - $269,800.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 04/24/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the TeamThe Customer Validation Testing (CVT) team is at the forefront of developing solutions that power the largest networks in the world. Engineers on this team will collaborate with dedicated, dynamic, hardworking team members to work on the qualification and automation of influential technologies, XR platforms, and solutions for deployment in high-end Cisco Web and Service Provider customers, impacting an endless number of users worldwide. The team is comprised of talented engineers with diverse experience levels, ranging from 3 to over 20 years, bringing significant expertise to the table. With a global presence, the team operates from centers in the US, Canada, and India.Your ImpactAs a Senior QA Automation Engineer, you will be responsible for designing, automating, configuring, and qualifying customer use cases based on IOS-XR for platforms such as ASR9K, NCS5500, and 8000. This role also includes... • Crafting, automating, configuring, and qualifying customer use cases based on IOS XR platforms. This includes generating test plans and dynamically prioritizing tasks based on customer demands, maximizing the right technical expertise and skills in each area., • Designing and developing innovative test frameworks and tools to support the test execution environment, as well as develop web-based GUIs that use analytics and machine learning to thoughtfully display and analyze execution results., • Driving test cases both manually and through automation, raising, tracking, prioritizing, and verifying defects and fixes., • Proactively seek continuous improvements in test coverage, execution, and automation, optimizing performance and configuration dimensioning., • Reproduce customer issues in internal test labs as requested by the customer support team, generate test execution., • Collaborating with the development team, account team, and customers to understand and validate customer use cases. Minimum Qualifications • Bachelors in STEM with 7+ years of relevant experience or Masters in STEM with 5+ years of relevant experience, • 3+ years of programming experience with Python, • Networking domain experience working with L2 or L3 networking protocols such as ISIS, BGP, MPLS, IPv6, GRE, MPLS-TE, LDP, RSVP, LDP, Segment routing, L2VPN, L3VPN, EVPN., • Experience in networking automation or software quality assurance Preferred Qualifications • Hands on experience with GIT, Jira, Jenkins and CI/CD pipeline tools, • Industry certification such as CCIE/CCNP/Cisco DevNet will be a plus., • Experience with network automation frameworks like pyATS, Pytest Ansible & Robot, • Experience with network monitoring tools like Grafana, telegraf, Elasticsearch and InfluxDB, • Experience in working with traffic generators like Ixia and Spirent., • Experience in network programmability - gNMI, gRPC, NETCONF, YANG, REST APIs, RPC, • Strong Linux experience, with preferred knowledge of virtualization and containerization technologies - KVM, VMware, Docker, and Kubernetes, • Strong troubleshooting and problem-solving skills., • Experience with AI and machine learning is a plus, • Understanding and hands on Cisco IOS/IOS-XR platforms At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Responsibilities • Develop and maintain media-related backend services for real-time communication (audio, video, screen sharing)., • Implement efficient media routing, session management, and signaling services., • Optimize performance with adaptive bitrate, congestion control, and low-latency streaming., • Collaborate with the control plane and client teams for seamless integration., • Proficiency in C++ and/or Go., • Strong understanding of real-time streaming protocols and WebRTC fundamentals (ICE, DTLS, RTP, SRTP)., • Experience in building low-latency distributed systems or communication backends., • Familiarity with Kubernetes, monitoring tools (Prometheus, Grafana), and cloud environments. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.

The application window is expected to close on: 04/24/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the TeamThe Customer Validation Testing (CVT) team is at the forefront of developing solutions that power the largest networks in the world. Engineers on this team will collaborate with dedicated, dynamic, hardworking team members to work on the qualification and automation of influential technologies, XR platforms, and solutions for deployment in high-end Cisco Web and Service Provider customers, impacting an endless number of users worldwide. The team is comprised of talented engineers with diverse experience levels, ranging from 3 to over 20 years, bringing significant expertise to the table. With a global presence, the team operates from centers in the US, Canada, and India.Your ImpactAs a Senior QA Engineer, you will be responsible for designing, automating, configuring, and qualifying customer use cases based on IOS-XR for platforms such as ASR9K, NCS5500, and 8000. This role also includes... • Crafting, automating, configuring, and qualifying customer use cases based on IOS XR platforms. This includes generating test plans and dynamically prioritizing tasks based on customer demands, maximizing the right technical expertise and skills in each area., • Designing and developing innovative test frameworks and tools to support the test execution environment, as well as develop web-based GUIs that use analytics and machine learning to thoughtfully display and analyze execution results., • Driving test cases both manually and through automation, raising, tracking, prioritizing, and verifying defects and fixes., • Proactively seek continuous improvements in test coverage, execution, and automation, optimizing performance and configuration dimensioning., • Reproduce customer issues in internal test labs as requested by the customer support team, generate test execution., • Collaborating with the development team, account team, and customers to understand and validate customer use cases. Minimum Qualifications • Bachelors in STEM with 7+ years of relevant experience or Masters in STEM with 5+ years of relevant experience, • Networking domain experience working with L2 or L3 networking protocols such as ISIS, BGP, MPLS, IPv6, GRE, MPLS-TE, LDP, RSVP, LDP, Segment routing, L2VPN, L3VPN, EVPN., • Experience in networking software quality assurance Preferred Qualifications • Hands on experience with GIT, Jira, Jenkins and CI/CD pipeline tools, • Industry certification such as CCIE/CCNP/Cisco DevNet will be a plus., • Experience with network automation frameworks like pyATS, Pytest Ansible & Robot, • Experience with network monitoring tools like Grafana, telegraf, Elasticsearch and InfluxDB, • Experience in working with traffic generators like Ixia and Spirent., • Experience in network programmability - gNMI, gRPC, NETCONF, YANG, REST APIs, RPC, • Strong Linux experience, with preferred knowledge of virtualization and containerization technologies - KVM, VMware, Docker, and Kubernetes, • Strong troubleshooting and problem-solving skills., • Experience with AI and machine learning is a plus, • Understanding and hands on Cisco IOS/IOS-XR platforms At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Fortinet is looking for an enthusiastic and talented Devops- Director to join our cloud computing DevOps team to work with software developers and other operational specialists to support our FortiCloud services. You will be involved with working in a wide variety of cloud computing technologies in both the development and operational stages. The everyday working environment is Linux servers, containers, Kubernetes, OpenStack, VMware and AWS. Responsibilities: • Develop and implement technical strategy for Private Cloud design, deployment and operation, • Collaborate with leadership to implement long term vision of datacenter, Private Cloud and architecture strategy, • Oversee a breadth of Cloud Services from conception to maintenance, • Manage project resources, timelines, and budgets to deliver productivity and high level of service, • Provide technical guidance in containerization, virtualization and datacenter architecture, • Lead a team of 50 in the HQ, • Minimum of 5 years in leadership role, • Minimum of 5 years of experience in DevOps or cloud infrastructure roles, with at least 3 years focused on Kubernetes., • Proficient in Kubernetes, Docker, docker-compose and container orchestration., • Experience with cloud platforms such as Openstack, VMware, AWS, GCP, or Azure., • Experience with different Kubernetes orchestration tools such as Openshift, Rancher k3s and rke2, EKS etc., • Strong knowledge of configuration management and infrastructure as code (Ansible, Terraform)., • Familiarity with CI/CD tools (Jenkins, GitLab CI, Argo CD)., • Proficient in scripting and programming languages (Python, Bash)., • Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Nagios, Cacti, Zabbix)., • Understanding of networking within Kubernetes (Istio, Calico, Cilium)., • Highly motivated, positive, responsible and able to work in a mission critical on-call environment, • Excellent problem-solving and troubleshooting skills., • Strong communication and collaboration abilities., • Ability to work in a fast-paced, dynamic environment., • Detail-oriented with a focus on continuous improvement., • Experience with Fortinet cloud product, • CKA, CKAD and CKS certificate, • Bachelor degree or above in Computer Science, Computer Technology, or related field.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. As a Sr Cloud Reliability Engineer for our Linux-based AI cloud platforms, you will help us deploy, scale, automate, and ensure high availability, performance, scalability, and security across GPU-accelerated compute clusters, Kubernetes workloads, and supporting storage/network infrastructure. You will bridge Development and Operations by automating infrastructure deployment, enhancing observability, and applying SRE best practices to support reliable AI development environments, AI developer tools, and MLOps platforms in our on-premises and hybrid cloud environments. This role will also support the operational enablement of AI development by helping manage AI platform services, developer access, API key governance, MCP servers, and other shared tooling required for secure and reliable use of modern AI workflows. Includes the following essential duties and responsibilities (other duties may also be assigned): • Cloud Infra Automation: Design and provision cloud infrastructure using Infrastructure as Code (Terraform, Ansible, or Helm) on bare metal or cloud platforms. Develop custom automation and tooling in Python or Go to extend deployment workflows and streamline operations., • Platform Reliability: Deploy, scale, maintain, and optimize uptime for AI cloud services including GPU clusters, Kubernetes (K8s), and storage systems (e.g., Ceph, Vast, DDN, or Weka). Understand the tools required to benchmark and assure consistent application performance., • AI Platform Operations: Support reliable operation of shared AI platform services used by development teams, including model-serving infrastructure, AI development environments, inference services, and internal AI tooling deployed on GPU-based on-premises infrastructure., • AI Developer Tooling Support: Help enable and support secure enterprise use of AI developer tools and services, including API-based AI platforms, developer integrations, and related service configurations used in software development workflows., • MCP / Tool Integration Services: Deploy, configure, secure, and support MCP servers and related service endpoints that enable controlled integration between AI tools, development environments, internal systems, and approved data/services., • Access and API Key Governance: Establish and help operate secure processes for AI service credentials, API keys, tokens, secrets rotation, usage controls, and environment-based access management to support development, testing, and production governance., • Monitoring & Alerting: Implement observability tools (e.g., Prometheus, Grafana, ELK, Loki, Fluentd) to monitor system health and alert on anomalies, service degradation, or abnormal GPU / AI platform behavior., • Capacity Planning: Analyze usage trends and forecast infrastructure needs to support AI workloads, large-scale model training/inference, and shared developer platform demand., • Incident Management: Lead root cause analysis and resolution for system outages or degraded performance. Define and maintain service level objectives (SLOs), indicators (SLIs), and agreements (SLAs) aligned with uptime and performance goals., • CI/CD Integration: Collaborate with DevOps and MLOps teams to ensure reliable delivery pipelines using GitLab CI/CD, ArgoCD, or similar tools., • Security & Compliance: Harden Linux systems, manage TLS certificates, and enforce secure access controls via Role-Based Access Control (RBAC), LDAP-integrated SSO, TLS, secrets management, and network segmentation policies., • Documentation & Playbooks: Maintain clear, version-controlled documentation, including architecture diagrams, runbooks, API key management procedures, MCP service standards, and incident response playbooks to support cross-team knowledge transfer and rapid onboarding., • Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent experience and 8 years of experience in the areas below, • Proficiency in Linux (Ubuntu, RHEL/CentOS), containers (Docker, Podman), and orchestration (Kubernetes), • Experience managing GPU compute clusters (NVIDIA / CUDA, AMD / ROCm), • Hands-on experience with observability tools (Prometheus, Grafana, Loki, ELK, etc.), • Strong scripting and coding skills (Bash, Python, or Go), • Experience supporting shared platform services for developers in production environments, • Familiarity with AI development workflows and the operational needs of teams building with AI tools, APIs, and model services, • Experience with secrets, credentials, certificates, or API key management in enterprise environments, • Exposure to secure multi-tenant environments and zero trust architecture, • Familiarity with network protocols, DNS, DHCP, BGP, RoCEv2, and InfiniBand or high-throughput Ethernet fabrics, • Understanding of AI/ML reference architectures and experience with workflows, MLflow, or Kubeflow, • Familiarity with AI developer platforms, model APIs, inference services, and secure integration patterns for enterprise AI use cases, • Experience deploying or supporting MCP servers or similar integration services for AI tool ecosystems, • Familiarity with API key lifecycle management, secrets vaults, token-based authentication, and environment-based access controls, • Familiarity with storage backends optimized for AI, • Prior experience in bare-metal provisioning via PXE, Ironic, or Foreman, • Understanding of NVIDIA GPU telemetry and NCCL testing for performance benchmarking, • Familiarity with ITIL processes or structured change management in production systems is a plus The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a visionary and hands-on network engineering leader who thrives on architecting robust, scalable, and future-ready network solutions across both data center and cloud environments. With over a decade of deep technical expertise, you bring an expert-level understanding of complex protocols and architectures, including BGP, MPLS, Segment Routing, EVPN, and VXLAN, and excel in leveraging Cisco ACI to its fullest potential. You have a proven track record of program-managing and driving cross-functional projects, ensuring seamless collaboration between diverse technical and business stakeholders. Your approach is grounded in innovation and agility, always seeking new technologies and methodologies to elevate operational efficiency, security, and reliability. As a mentor and team leader, you are passionate about empowering others, sharing knowledge, and fostering a culture of continuous learning. Automation and AI-driven solutions are second nature to you, and you are adept at implementing tools that streamline workflows and enhance observability. Your strong organizational skills and results-driven mindset ensure that critical projects are delivered on time and aligned with business objectives. You excel at communicating complex concepts to both technical and non-technical audiences, and your adaptability enables you to pivot strategies in a fast-paced, evolving environment. If you are driven by impact, eager to shape the future of network infrastructure, and ready to lead with both vision and execution, Synopsys is the place for you. What You'll Be Doing: • Lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs., • Develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments., • Program manage and drive complex cross-functional projects, ensuring alignment and collaboration among stakeholders to meet project goals and timelines., • Champion a culture of innovation, agility, and continuous improvement within the network engineering domain., • Own the end-to-end data center network design lifecycle, from blueprinting to day-2 operations, and define repeatable templates for broader support., • Propose and lead adoption of new solutions, inspiring teams to embrace innovative approaches and technologies., • Develop and maintain comprehensive documentation for network configurations, processes, and procedures., • Implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention., • Establish and track key performance indicators (KPIs) to drive continuous improvement in network performance and efficiency., • Mentor and guide junior engineers, fostering growth and knowledge sharing within the team., • Stay ahead of industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations., • Communicate effectively with stakeholders at all levels, making complex technical topics accessible to all audiences. The Impact You Will Have: • Shape the strategic direction of Synopsys' network infrastructure, enabling rapid business growth and innovation., • Drive the adoption of cutting-edge technologies and best practices, enhancing Synopsys' competitive edge in the industry., • Ensure the reliability, scalability, and security of critical production and development environments., • Empower and upskill the next generation of network engineers through mentorship and leadership., • Streamline network operations through automation and AI, reducing downtime and operational costs., • Enhance observability and monitoring, providing actionable insights that improve system performance and user experience., • Foster a culture of innovation and agility, ensuring Synopsys remains adaptable in a dynamic technology landscape., • Support cross-functional teams with robust network solutions that underpin key business initiatives. What You'll Need: • BS in Engineering or related field (MS preferred)., • 10+ years of experience in network engineering/data center infrastructure with significant ownership of large-scale networks., • Expert-level knowledge of DC and service provider protocols: BGP, MPLS, Segment Routing, EVPN, VXLAN, QoS, and traffic engineering., • Advanced proficiency with Cisco ACI (Application Centric Infrastructure), including automation via APIC REST, SDK, and Ansible collections., • Strong experience with network automation (Python, Ansible) and observability tools (gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana)., • Demonstrated leadership in mentoring teams and managing complex projects from inception to completion., • Proven program management skills with the ability to align cross-functional teams and achieve results., • Excellent analytical, organizational, and problem-solving abilities with a focus on KPIs and operational excellence., • Strong written and verbal communication skills, with the ability to convey technical information to diverse audiences., • Bonus: Relevant certifications (CCNP, CCIE Data Center, AWS Certified Solutions Architect), Cisco ACI multi-site/fabric mastery, strong security acumen, and familiarity with DC operations (power, cooling, DCIM). Who You Are: • Innovative thinker who embraces change and challenges the status quo., • Collaborative leader who excels at motivating and mentoring others., • Strong communicator, adept at translating complex technical concepts for any audience., • Results-oriented and driven by measurable impact., • Organized and able to juggle multiple priorities in a dynamic environment., • Adaptable, resilient, and comfortable working in fast-paced, evolving settings., • Committed to continuous learning and professional growth-for yourself and your team. The Team You'll Be A Part Of: You'll join a high-performing, collaborative Network Engineering team at Synopsys, dedicated to building and maintaining the backbone of our global operations. Our team is passionate about designing, implementing, and supporting world-class network solutions that enable innovation, reliability, and security across our data centers and cloud platforms. We foster a culture of learning, agility, and technical excellence, and we're looking for a leader who can help us set new standards for what's possible in network engineering. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S. ___ Save

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere. Fortinet is looking for passionate and talented problem solvers to join our SRE team for building and managing the latest generation of SDLC infrastructure, which is a key part of Fortinet's software R&D and release workflow. Service Reliability and Security are our top priorities. The successful candidate will work closely with DevOps and Configuration Management teams to build, maintain, and improve various on-premise systems and services for the SDLC of our core products. Job Responsibilities: * Participate in designing, implement, deploying, and maintaining on-premise SDLC system infrastructure and services. * Research, experiment, and evaluate innovative technologies to enhance and streamline current processes and services with automation. * Measure, monitor, and optimize service performance and availability to meet defined SLA/SLO goals. * Implement and document operational workflows and security controls. * Troubleshoot service incidents and handle service requests. * Participate in compliance and certification audits (ISO, SOC2, etc.) Job Skills Required: • 5+ years of practical experience in SRE/DevOps/Infrastructure/Systems Engineer roles;, • Strong hands-on expertise in: VMware vSphere/ESXi/vCenter; OpenStack and its services (Nova, Neutron, Cinder etc); Software-defined storage (Ceph) and SAN/NAS storage solutions., • Experience configuring physical servers, network and storage appliances (e.g., Dell, SuperMicro, PureStorage etc.) and data center operations;, • Deep understanding and hands-on experience with containerization technologies (Docker. Kubernetes), • Solid understanding of networking (VLANs, VPN, DNS, routing, firewalls, load balancers), • Experience with configuration management and Infrastructure-as-Code tools (Ansible/Terraform/Packer)., • Experience with monitoring/observability systems: Prometheus, Grafana, Loki etc., • Strong scripting skills (Python and/or Bash), • Strong experience with Linux/Unix administration (Ubuntu preferred), • Team player with strong interpersonal, written and verbal communication skills., • Excellent problem-solving and troubleshooting skills, • Ability to multi-task and quickly react to system/service issues Nice to Haves: • Experience with object storage systems., • Experience with security scanning and compliance tools., • Experience with network devices (Firewall, switch, load balancer, etc.) Educational Requirements • Bachelor's Degree in Computer Science About Our Team: Join our team, known for its collaborative ethos, working seamlessly with global customers, internal engineering teams and product development groups. Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer satisfaction. We embrace Fortinet's core values of openness, teamwork and innovation, fostering an environment where team members support each other, share knowledge, and leverage AI to solve complex technical challenges. Our inclusive and dynamic team thrives on collaboration and is driven by the shared goal of maintaining Fortinet's high standards of excellence in cybersecurity solutions. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $129,800 - $158,600 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

We are seeking a highly skilled DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, resilient, and secure infrastructure. You will work closely with Development, product, and QA teams to enhance development workflows, optimize CI/CD pipelines, and ensure system reliability. This is a critical position for driving operational excellence and fostering a culture of collaboration between development and operations. Key Responsibilities • Infrastructure Design & Management: Architect, implement, and manage scalable cloud infrastructure using platforms like AWS, Azure, or Google Cloud., • CI/CD Pipeline Development: Build and optimize CI/CD pipelines to streamline code deployment, testing, and delivery processes., • Monitoring & Incident Response: Set up and maintain system monitoring, logging, and alerting tools (e.g., Prometheus, Grafana) to ensure high availability and quick response to incidents., • Automation: Develop automation scripts and tools using languages such as Python, Bash to reduce manual interventions and improve system efficiency., • Collaboration: Work with development, QA, and IT teams to integrate DevOps best practices into every stage of the software lifecycle., • Security: Implement and enforce best practices for infrastructure security, including vulnerability assessments, patch management, and IAM policies., • Cost Optimization: Continuously monitor and optimize cloud resource usage to ensure cost efficiency without compromising performance. Must-Have Qualifications: • Experience: Minimum of 2-5 years of experience in DevOps, Site Reliability Engineering, or a related role., • Cloud Expertise: Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, including provisioning and managing resources., • CI/CD Tools: Proficiency with tools such as Jenkins, GitLab CI, CircleCI, or equivalent., • Infrastructure as Code (IaC): Experience with Terraform, CloudFormation, or similar tools., • Containerization & Orchestration: Strong knowledge of Docker and Kubernetes (deployment, scaling, monitoring)., • Scripting & Automation: Proficiency in scripting languages like Python, Bash, or Go., • Monitoring Tools: Experience with monitoring and logging tools such as Prometheus, ELK Stack., • Version Control: Advanced knowledge of Git and branching strategies., • Experience with serverless computing (e.g., AWS Lambda)., • Knowledge of database administration (SQL and NoSQL)., • Familiarity with compliance frameworks (e.g., SOC2, ISO 27001). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Proactive and self-motivated with a growth mindset. The US base salary range for this full-time position is $110,000-$150,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

At Fortinet, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers. Our team members enjoy solving complex problems, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of b2b customers worldwide. Our team is growing, and we are looking for engineers with passion for automation. You will help support the FortiCNAPP platform and play a key role in building, operating, and improving the FortiCNAPP Cloud Security Platform, the world's best real-time cloud-native threat detection system. Our team develops and supports the infrastructure layers spanning our cloud accounts, network/connectivity, workload management, observability, and storage services. We build tooling to perform automated operations in order to scale the FortiCNAPP infrastructure and service. To be successful you will design, define, develop, deploy and operate internal tooling, APIs, and frameworks which streamline our workflows and automate our infrastructure. About this role: As a Principal Site Reliability Engineer at FortiCNAPP, you will lead the design, implementation, and optimization of our highly scalable, resilient, and efficient platform infrastructure. You will drive strategic initiatives to enhance operational excellence, mentor teams, and set the standard for reliability and automation across the organization. Your expertise will shape the future of FortiCNAPP's infrastructure, ensuring it meets the demands of our customers and supports rapid growth. Responsibilities: • Architect and implement advanced automation strategies to maximize operational efficiency and minimize toil across the FortiCNAPP platform., • Lead the design, development, and enhancement of infrastructure systems to ensure world-class scalability, resiliency, and performance., • Proactively identify and resolve complex, systemic issues through innovative automation, tooling, and architectural solutions, preventing customer-facing incidents., • Drive the evolution of monitoring, instrumentation, and observability systems to anticipate and mitigate scalability and reliability risks before they impact customers., • Champion company-wide adoption of reliability best practices, establishing key metrics, SLAs, and milestones to embed scalability and resiliency into all engineering processes., • Collaborate with cross-functional teams to define and implement industry-leading practices for infrastructure, deployment, and operational workflows., • Provide technical leadership and mentorship to engineering and operations teams, fostering a culture of reliability, automation, and continuous improvement., • Lead incident response and post-mortem processes, driving root cause analysis and implementing preventive measures., • Participate in an on-call rotation, serving as an escalation point for complex issues and guiding the team through critical incidents., • 10+ years of DevOps/SRE experience, with at least 5 years in a senior or lead role managing production systems at scale., • Expert-level development and automation skills, with a proven track record of building sophisticated tools and workflows., • Deep expertise in Infrastructure as Code (e.g., Terraform) and supporting tools (e.g., Atlantis, ArgoCD, Flux)., • Advanced experience with Kubernetes and its ecosystem (e.g., Helm, operators, Kustomize), including managing large-scale, production-grade clusters., • Extensive experience with multiple cloud providers and managed services (e.g., AWS: EKS, EC2, S3, RDS, Secrets Manager; GCP, Azure)., • Proven ability to architect and operate highly reliable, fault-tolerant cloud infrastructure that supports rapid microservice deployment with robust monitoring and high availability., • Exceptional cross-team communication and leadership skills, with experience driving alignment across engineering, product, and operations teams., • Deep knowledge of large-scale system building blocks, including load balancing, distributed/cloud computing, container orchestration, and advanced monitoring/observability., • Expert understanding of cloud networking, including VPC configuration, cross-cloud connectivity, and hybrid cloud architectures., • Extensive experience designing and implementing advanced monitoring and observability systems (e.g., Prometheus, Grafana, New Relic, Datadog, OpenTelemetry)., • Strong advocate for "everything as code" principles, with experience institutionalizing IaC and GitOps practices across teams., • Deep expertise in Java application servers, JVM tuning, and performance optimization for high-throughput systems. • Bachelor or Masters degree in Computer Science, Computer Engineering or related fields. The US base salary range for this full-time position is $202,000-$247,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Join RUCKUS Networks and help shape the future of cloud infrastructure. How You'll Help Us Connect the World: We’re looking for a hands-on Devops Architect to lead technical strategy and drive transformation across our global SRE and DevOps operations. This is a senior individual contributor role where you’ll set the architectural vision, guide implementation, and influence technology decisions for our cloud platform—including Ruckus One—serving millions of users worldwide. As a key member of our engineering leadership team, you’ll move us from manual operations to automated, intelligent workflows. You’ll balance strategic architecture with hands-on coding (40–50%), working on multi-tenant GCP infrastructure, Kubernetes optimization, disaster recovery, automation frameworks, and compliance solutions. • Define and enforce architectural standards across our cloud product portfolio., • Lead technology evaluations and vendor selections with clear technical recommendations., • Create Architectural Decision Records (ADRs) for major initiatives., • Provide hands-on technical guidance to engineering teams on implementation patterns., • Drive cross-product technical alignment and establish common standards., • Own the technical roadmap for cloud infrastructure and automation., • Architect solutions for multi-region HA, disaster recovery, and infrastructure-as-code., • Design automation frameworks to eliminate manual processes and reduce operational toil., • Build observability solutions using Prometheus, Grafana, ELK, and GCP tools., • Write production-grade code in Python, Bash, and Go for automation and tooling., • Develop Terraform modules and IaC patterns for enterprise-scale deployments. Required Qualifications: • 10+ years in infrastructure/platform engineering with large-scale production environments., • Expert-level experience in GCP/AWS, multi-region architectures, GKE optimization, networking, and security., • Deep Kubernetes expertise in production environments., • Advanced Terraform development and IaC best practices., • Strong coding skills in Python, Bash, and/or Go., • Linux systems expertise across multiple distributions., • Proven ability to create technical documentation and ADRs. You’ll excite us if you have: • Multi-cloud experience (AWS/Azure), • Compliance frameworks (SOC2, ISO 27001, FedRAMP), • Cost optimization achievements, • SRE/DevOps transformation leadership, • Observability platform expertise, • Disaster recovery design and implementation, • GitOps and CI/CD pipeline expertise (Jenkins, GitLab, ArgoCD) #LI-RB1 #LI-HYBRID Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary) is $135,600.00-$200,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. What Happens After You Apply: Learn how to prepare yourself for the next steps in our hiring process by visiting ___ Why Join Us? Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value. RUCKUS Networks delivers purpose-driven enterprise networks that enable superior business outcomes in demanding environments. Our solutions combine AI-powered automation, proactive network assurance, and context-aware security, providing exceptional performance with simplified management. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at Vistance Networks. Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

What You'll Do** - Design realistic, multi-step Grafana workflows - dashboards, alerting rules, data source configuration, panel setup, cross-module operations - Perform each workflow yourself on a hosted Grafana instance to produce a reference trajectory - Write clear, specific task prompts wit

This position will help worldwide customers adopt services such as, Amazon CloudWatch, Amazon OpenSearch Service, Amazon Managed Service for Prometheus, Amazon Managed Grafana, and AWS Distro for OpenTelemetry. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud p

Job DescriptionReady to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. What is the role?The Mission Operations Engineer will lead the testing effort for the Mission Ops program working onsite in our Saratoga, CA office location. The ideal candidate has experience as an individual contributor with quality assurance engineering, test engineering, automation of testing tasks as well as leading testing of one or more products or areas of a product. What you will be doing: • Be a hands on leader for the Test and Integration team, • Read, comprehend and ensure that product requirements are reviewed and understood, • Write test plans and test cases for their designated area ensuring that all requirements are covered in their test planning for traceability, • Be responsible for creating a Requirements Traceability Matrix for Mission Ops software, • Perform testing in a lab environment, document all aspects of the lab environment prior to deployment in the satellite, ground systems and devices environments and before commercial launch in a commercial environment, • Create test suites for build acceptance testing, regression testing and automation test suites, • Create test automation for mission ops software using Python, • Verify and validate all product releases, including a full understanding of the proper system performance tools and KPI data that can be used to troubleshoot issues, • Identify, isolate, reproduce and write bug reports in a clear, concise manner, • Provide final sign off for the Mission Ops SoftwareWhat you bring to this role:, • At least 5 years in system performance and/or quality assurance engineering and/or network operations for a mobile or satellite operator or infrastructure or devices manufacturer, • At least 3 years’ experience leading groups, projects and teams in a quality assurance role, • Demonstrated working knowledge of automation, specifically the ability to develop automation and an automated regression test suite and testing tools, • Hands on experience with automating testing, leading test teams and test projects and providing status, • Experience with multiple LEO satellite programs and satellite Systems Engineering Integration and Test and Launch and Initialization (L&I) activities, • Experience with Agile / Scrum development, • Experience with test automation creation / test case management systems, • Expertise with Python, C++ for testing and automation, MPL and scripting, • Familiarity with Linux and Windows Operating Systems, AWS Cloud Experience, CI/CD Pipeline, • Experience with Jira / Confluence / Grafana / Control SystemsExtra bonus points for the following:, • Bachelor's / Master's degree in Computer Engineering/CS/EE/Mechanical/Physics/Aerospace plus 7 years’ hands on experience, • Experience working in a fast-paced startup environment with short development times #LI-Onsite Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference• Sustainability at our core• Fair and honest workplace• Innovative thinking is encouraged• Competitive salaries• Continuous learning and development• Health and wellness care options• Financial solutions for the future • Optional legal services (US only)• Paid holidays• Paid time off

Job DescriptionCoreWeave 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 this role We're looking for a Principal Engineer to be the technical lead of CoreWeave's Benchmarking & Performance team. You will be responsible for our planet-scale performance data warehouse: Ingesting, storing, transforming and analyzing performance events in all the data centers across our global infrastructure. You will also be an integral part of achieving industry-leading end-to-end performance benchmarking publications: If MLPerf (Training & Inference), Working closely with NVIDIA (Megatron-LM, TensorRT-LLM & DGX cloud) and the open-source community (llm-d, vLLM and all popular ML frameworks) speak to you, come help us demonstrate CoreWeave's performance reliability leadership in the field. What you'll do • Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails., • Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed., • Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines. Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/FP4), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations., • Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures)., • Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data. Who you are • 10+ years building distributed systems or HPC/cloud services, with deep expertise on large-scale ML training or similar high-performance workloads., • Proven track record of architecting or building planet-scale data systems (e.g., telemetry platforms, observability stacks, cloud data warehouses, large-scale OLAP engines)., • Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM)., • Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments., • Excellent communicator able to interface with executives, customers, auditors, and OSS communities. Nice to have • Experience with time-series databases, log-structured merge trees (LSM), or custom storage engine development., • Experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale., • Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects., • Experience benchmarking multi-region fleets and large clusters (thousands of GPUs). 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Senior Full Stack EngineerJob Details • Senior Full Stack Engineer (Contract), • Location: San Jose CA 95110 (Hybrid), • Duration: 9/15/2025 to 3/13/2026, • Team: US Solutions Enablement Key Responsibilities:, • Develop and maintain full-stack applications using React, NextJS, Java, and Spring Boot., • Develop user interfaces in TypeScript, CSS, and use tools such as WebPack and ESLint., • Design, implement, and consume RESTful and GraphQL APIs to support dynamic and scalable front-end experiences., • Build and deploy scalable and secure solutions on AWS, leveraging services like RDS, S3, and event frameworks., • Work with SQL databases (e.g., MySQL, PostgreSQL) and optionally NoSQL systems (e.g., MongoDB)., • Participate in code reviews, architecture discussions, and agile ceremonies., • Ensure application performance, reliability, and maintainability., • Troubleshoot and resolve technical issues across the stack., • Contribute to CI/CD pipelines using tools like Jenkins, Git, and Docker. Required Skills & Qualifications:, • Bachelor’s degree in Computer Science or related field., • 3+ years of experience in full-stack development., • Strong proficiency in Java, Spring Boot, React, and NextJS., • Experience with TypeScript, Webpack, Babel, ESLint, and Jest in modern web development workflows., • Experience with AWS infrastructure and deployment practices., • Solid understanding of SQL and relational database design., • Familiarity with version control systems (Git), Agile methodologies, and DevOps practices., • Excellent problem-solving and communication skills. Bonus Skills:, • Familiarity with Ruby code bases., • Experience with monitoring tools like New Relic, Splunk, or Grafana., • Exposure to containerization and orchestration (Docker, Kubernetes)., • Experience designing elegant user interfaces.Compensation:, • Up to $88. 03 per hour.# 36388335

Job DescriptionCompany Description About CyberArk: CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook. Job Description CyberArk is seeking a FedRAMP Staff Site Reliability Engineer to bring their knowledge, excitement, and energy to the team. If you have worked in the cloud solving large scale problems, bringing visibility into your platform, and accomplishing true automation we want you on the team! Driven and excited to innovate is what we need all while allowing you to grow professionally and creating strong relationships that will last a lifetime. * Architect, lead, and design future deployment and management automation for CyberArk’s cloud-based infrastructure and software * Provide guidance to Site Reliability Engineers on managing the reliability and performance of SaaS environments and building automation to prevent recurring issues * Architect, Develop and guide the team with the use of cloud configuration management, deployment and compliance tools such as CloudFormation, Helm, Kubernetes, Terraform, Salt and Ansible across both Windows and Linux environments * Ensure cloud-based architecture meets availability and recoverability requirements * Implement best practice for cloud-based monitoring, alerting, and observability using tools like - Pager Duty, CloudWatch, Grafana, Datadog and OpenSearch * Support and guide tooling initiatives that enhance team output and reliability * Develop and continuously improve automation of manual processes * Collaborate with engineering and product teams to identify areas for improvement, prepare architecture roadmaps, and advocate to the Product Management group * Respond to production incidents and participate in on-call rotations #LI-KR1 Qualifications * B.S. in Computer Science or equivalent experience * Minimum 5 years of experience managing AWS infrastructure * Minimum of 7 years in a senior, architect or a technical lead role of site reliability, systems engineering or software development * A deep understanding of Site Reliability, infrastructure, and Cloud Platforms * Solid understanding/experience of web services, databases and relating infrastructure/architectures * Previous experience with FedRAMP or DOD compliance requirements and audits * Strong level of scripting and automation expertise, using Python or an equivalent language * Proven track record of managing reliability and performance for large-scale, enterprise-level SaaS environments * Strong analytical and problem-solving abilities, with a proactive approach to identify and mitigate issues. * Extensive experience designing and managing AWS infrastructure components including VPC, ELB/ALB, IAM, KMS, EC2, Route53, AWS Config, CloudTrail, CloudFormation across both AWS commercial and GovCloud Regions * Must be a U.S Citizen or Green Card Holder for meeting with FedRAMP High authorized access requirements Additional Information CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We are unable to sponsor or take over sponsorship of employment Visa at this time. The salary range for this position is $126,000 – $185,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.

Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak AI is currently seeking a Senior IT Systems Engineer to join our growing team working out of our Mountain View, CA HQ. This position will be the technical escalation point for Global End Users and Executives. The role requires a high level of technical proficiency and requires an individual with executive presence and good social skills. Must be able to quickly and effectively diagnose, and resolve issues related to Linux, Mac and Windows systems, mobile devices, cloud or datacenter infrastructure. Kodiak is looking for an individual who is customer focused, passionate about the end user experience, enjoys challenging themselves constantly to improve, and empowering the end user community by providing IT knowledge and tools. This role will be a mix of hands-on support services and collaborating on infrastructure-as-code projects with the greater IT infrastructure team. There will be many opportunities to learn, plenty of room to grow, and many interesting projects to take ownership of. In this role, you will: • Driving improvements by automating IT and infrastructure processes., • Provide onsite and remote guidance for Engineers and staff, • Provide end user guidance to Ubuntu Linux, Mac OS, and Windows platforms when needed, • Coordinate issue resolution with operations and engineering staff, working with domain specialists to resolve issues., • Provide feedback, quality assurance, and user acceptance testing for platforms and services., • Manage own time to fulfill tasks efficiently, in the correct priority and to the required level of quality, within the context of the objectives supplied by the manager., • Production experience with automation and orchestration tools related to IT infrastructure, • Production experience with Ansible, Terraform, Grafana or Prometheus, • Production experience with Juniper Networks or Palo Alto Networks, • Production experience with Rancher or Kubernetes, • Production experience with AWS, • Experience participating in security framework audits such as SOC2 or ISO:27001, • Experience with MinIO, • Experience collaborating in an infrastructure-as-code production environment, • Experience using Git for collaboration in an infrastructure-as-code production environment, • Expertise delivering the right services at the right time in a rapidly changing business environment, • A strong understanding of SSO concepts including SAML, OIDC and supporting users with MFA, etc., • Excellent project and time management skills, ability to manage expectations in a deadline-driven environment and to balance strategic projects with day-to-day accountabilities, • Competitive compensation package including equity and annual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits), • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance, • Flexible PTO, 10 paid holidays, and generous parental leave policies, • Our office is centrally located in Mountain View, CA, • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation), • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As part of IFM’s Supercomputing team, you will design, optimize, and maintain low-latency, high-bandwidth networking solutions that power some of the world’s largest GPU supercomputing clusters. You’ll work on both network software and systems that enable AI training and inference workloads, using cutting-edge technologies such as NVIDIA’s RDMA-capable solutions, InfiniBand, RoCE, and GPUDirect RDMA. Our integrated product stack covers the full lifecycle of network management—from metric collection and configuration deployment to zero-touch provisioning, real-time monitoring, alerting, and auto-remediation. You will also be responsible for investigating, debugging, and quickly resolving any network-side errors in collaboration with cross-functional teams, ensuring the highest degree of reliability and performance.Job Responsibilities • Design & Optimization: Develop and tune RDMA-based communication systems leveraging NVIDIA GPUs, Mellanox NICs (InfiniBand, RoCE), and low-level networking technologies to support ultra-fast data transfers between nodes., • Performance Engineering: Implement and optimize GPUDirect RDMA to enable direct memory access between GPUs and network interfaces, minimizing CPU overhead., • Automation & Monitoring: Build network-aware software and observability tools with extensive metrics coverage, automate configuration management, and ensure robust, secure deployment pipelines through Infrastructure-as-Code (IaC) best practices., • Integration & Collaboration: Integrate RDMA solutions within Kubernetes-based workloads and containerized environments. Collaborate closely with AI researchers, network engineers, and infrastructure teams to accelerate data pipelines and optimize collective communications using NCCL, MPI, and SHARP., • Troubleshooting: Quickly investigate, debug, and resolve network-side issues across the full stack—from physical InfiniBand fabrics to high-level orchestration services—ensuring continuous operational excellence.Tech Stack, • Languages & Tools: Python, Go, Rust, C/C++, • Networking Protocols & Technologies: TCP/IP, BGP, RDMA, InfiniBand, RoCE, SHARP, GPUDirect RDMA, • AI & HPC Communication Frameworks: NCCL, MPI, • Container & Orchestration: Kubernetes, • Cluster Management: Slurm, • Monitoring & Automation: Prometheus, Grafana, Ansible, Terraform, • Hardware: NVIDIA GPUs, Mellanox networking solutionsProfessional Experience, • High-Performance Networks: Hands-on experience with NVIDIA RDMA technologies (e.g., GPUDirect RDMA, RoCE, InfiniBand) in HPC or AI supercomputing environments., • Job Scheduling & Cluster Management: Familiarity with Slurm workload manager and experience troubleshooting and optimizing network performance within Slurm-managed environments., • Advanced Communication Frameworks: Proven expertise in optimizing distributed systems using NCCL, SHARP, MPI, or similar frameworks tailored for GPU-accelerated workloads., • Programming & System Optimization: Proficiency in Python, Go, and low-level programming languages such as Rust, C, or C++ to design and optimize networking software., • Networking Fundamentals: In-depth knowledge of network protocols (TCP/IP, BGP, RDMA) and network architectures, both physical and logical., • Kubernetes & Containerization: Familiarity with Kubernetes networking and experience integrating RDMA into containerized environments., • Troubleshooting & Debugging: Strong analytical and debugging skills with a track record of rapidly resolving network-side errors and performance bottlenecks.

Job Description QA Data Analyst & Telemetry Specialist IV Description: • We’re looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence. You’ll be the team’s go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams. Duties:, • Data Analysis & Log Investigation, • Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy., • Instrumentation Partnership, • Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals., • Dashboards & Visualization, • Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health., • Written Reports, • Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health., • Root Cause Support, • Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns., • Cross-Team Collaboration, • Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how they’re consumed across tools and stakeholders., • Quality Metrics Development, • Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.Requirements:, • Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams., • Strong hands-on experience with data analysis (SQL, Python, R, or similar), • Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI), • Able to write concise reports with actionable insights — weekly summaries, defect overviews, quality scorecards, etc., • Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch), • Comfortable discussing and designing instrumentation/logging with engineers, • Familiarity with QA concepts, release validation, and production monitoring, • Strong communication skills; can adapt output to technical and non-technical audiences, • Bonus Points:, • Background in QA, test automation, or release engineering, • Experience with OpenTelemetry, distributed tracing, or event-driven logs, • Experience in continuous delivery environments with real-time observability needs, • Prior involvement in incident reviews or quality postmortems, • Bachelor’s degree (or higher) in one of the following fields is preferred:Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics, • Electrical or Computer Engineering Equivalent practical experience is also welcome — especially in QA, data analysis, SRE, or systems engineering roles., • Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus. Compensation:, • $78.12 – 86.02/hr W—2Req ID:, • 36209620

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. An AHEAD Intelligent Operations Sales Specialist will focus on cultivating business in commercial to enterprise markets, across various business vertical including but not limited to Healthcare, Financial, Legal, Manufacturing, SLED, and retail. Candidate needs to be a hunter that finds opportunities and understands how to open net new accounts. Collaborate with Core Client directors account teams and our ecosystem of delivery partners. Develop and execute a services sales strategy in the designated territory with a target account list Proactively create new product and Services opportunities in both new and installed base customers Create pipeline and manage end-to-end forecasting process for Product and Services opportunities Modern Applications, Intelligent Operations, Digital Workflow, Digital Workspace and MS solutions. This position requires an excellent written and oral communication skillset. Travel within specified territory will also be required. Responsibilities • Identify new business opportunities within net new and existing accounts., • Develop relationships within accounts at Director/C-Level and communicate the AHEAD IO GTM Strategy., • Clearly understand the business challenges created by the technical requirements the client faces., • Work as a team with engineers, core sales group and other sales specialty groups to design and configure appropriate digital solution(s), • Manage opportunity workflow and progression utilizing internal tools, such as CRM (Salesforce), Excel, and PowerPoint, • Navigate proposals and opportunities through the procurement process., • Ensure successful deployment and solutions meet with customer requirements., • Establish strong vendor relationships., • Develop and maintain a book of business of at least $10M in Topline Revenue at target margins., • Recruit candidates that characterize the AHEAD cultureQualifications, • 5+ years of technology based sales experience, • Strong knowledge in Observability (Dynatrace/Datadog/Grafana) or ServiceNow (ITSM) products, • Knowledge in Tanium and Cloud (AWS/Azure/GCP) products is a plus, • Proficient with Microsoft Office Suite, CRM (Salesforce) or related software., • Experience producing new business, negotiate deals, and maintain healthy C-Level relationships, • Experience achieving sales targets, • The ability to understand the "bigger picture" and our plans around IT, • Experience promoting customer success focus in a "win as a team" environment, • Excellent interpersonal and customer service skills., • Excellent sales and negotiation skills., • Excellent organizational skills and attention to detail., • Strong analytical and problem-solving skills.

Job Description At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we're growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong. GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet. The application window will be open until at least April 10th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Role Description GFiber is reimagining network operations by building highly observable, programmable, and resilient infrastructure at scale. As the Head of Network Reliability Engineering (NRE), you will lead the strategy to ensure our next-gen infrastructure is inherently resilient and self-healing. We are seeking a senior leader to spearhead our reliability strategy across a diverse infrastructure spanning access, core, transport, wireless, and OSS integration. In this role, you will oversee a multi-disciplinary organization responsible for Metro Engineering (design and build) and Reliability Engineering (proactive and automated), bridging the gap between architectural standards and operations. By unifying fault management, telemetry, and incident data, you will partner with Network Engineering to evolve our health metrics and drive actionable insights. You will be a key champion for autonomous operations, focused on reducing fault domains and achieving industry-leading reliability through automated, self-healing systems. Role Responsibilities: • Lead the Reliability Engineering and Metro Engineering functions, overseeing both the physical expansion of metro networks and the observability systems that support them., • Own the end-to-end Tier 3 escalation lifecycle, working with NOC and Incident Management teams to drive a blameless engineering culture focused on systemic improvement and data-driven root cause analysis., • Define the roadmap for Infrastructure-as-Code and GitOps workflows, collaborating with software and network teams to ensure configurations are version-controlled, auditable, and deployed via CI/CD., • Drive the strategy for closed-loop automation by partnering with software engineering teams to implement systems that leverage real-time streaming telemetry for autonomous fault detection and remediation., • Bachelor's in Computer Science, Electrical Engineering, or equivalent practical experience., • 10 years of experience in network engineering, with direct experience in operations, site reliability, or network reliability., • Experience in IP networking (BGP, OSPF, MPLS), optical transport, and access networks (PON/Wireless)., • Experience managing high-stakes incidents and designing high-availability systems., • Master's degree in a technical field or equivalent executive leadership experience., • Experience implementing SRE/NRE frameworks (SLIs/SLOs/Error Budgets) within a production ISP or cloud environment., • Strategic understanding of observability and automation tools (e.g., Prometheus, Grafana, Ansible, Terraform) and their application in an ISP environment., • Experience overseeing the lifecycle of automated systems, from defining functional requirements to validating operational readiness., • Experience managing complex, hybrid infrastructure—such as combined fiber and wireless networks—at a multi-regional or national scale. The US base salary range for this full-time position is between $208,000 - $286,000 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process. GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google's Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC's "Know your rights: workplace discrimination is illegal" (PDF). It's important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing our accommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

Job DescriptionOver 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Extreme’s Cloud Operations team is a group of talented engineers passionate about building highly reliable, scalable and secure solutions in public/private cloud environments. We are looking to hire highly motivated Cloud Operations engineers with strong work experience in production operation, as well as cloud infrastructure design and implementation. Together, we will design, develop and implement the best public / private / local cloud solutions for our customers. This position is responsible for leading cloud infrastructure implementation initiatives and providing technical leadership in cloud architecture, operational excellence, and cost optimization. The role stays current with industry trends and best practices and leverages AI and cloud service provider platforms (AWS, Google Cloud, and Azure) to enhance operational efficiency, reliability, security, and scalability. Extreme Networks is the right place to be and now is the right time to join us and be part of our spectacular growth and success. We're looking for the best and the brightest 'A' players who want to make a difference doing a job they love.Responsibilities: • Provide technical leadership in cloud architecture, operational excellence, reliability, and cost optimization across large-scale production environments., • Stay current with industry trends and best practices, and leverage AI technologies and cloud service provider platforms (AWS, Google Cloud, and Azure) to improve operational efficiency, scalability, security, and resiliency., • Design and ensure secure, reliable, and high-performance communication across multiple regions and cloud service providers., • Configure, tune, and operate middleware services, including SQL and NoSQL databases, messaging and streaming platforms, and related infrastructure components., • Evaluate, recommend, and lead the adoption of CloudOps and DevOps tools, platforms, and automation solutions., • Troubleshoot complex production infrastructure and application issues, providing deep technical expertise and hands-on support when required., • Drive root cause analysis (RCA), implement corrective actions, and establish preventive measures to avoid recurrence., • Collaborate closely with engineering cloud architects in system design discussions, architecture reviews, and whiteboard sessions., • Partner with Development, QA, SRE, and external service providers or carriers to resolve issues and improve system reliability., • Design, implement, and evolve deployment automation platforms for Kubernetes-based microservices., • Improve service availability, performance, and scalability through automation, tooling, capacity planning, and process improvements., • Analyze system and service performance, identify bottlenecks, and deliver actionable recommendations to improve efficiency and resilience.Qualifications:, • BS level technical degree required; Computer Science or Engineering background preferred., • 8+ years of experience in a CloudOps / DevOps role., • Hands on experience with AWS or any public cloud (Azure, GCP etc.)., • Knowledge of Linux, security and networking fundamentals., • Working knowledge of container-based architecture and deployment (Docker, Kubernetes.), • Working knowledge of deployment automation development (Terraform, Helm, ArgoCD)., • Experience in diagnosing and resolving complex application problems., • Working knowledge of Elasticsearch, PostgreSQL, Redis, Ignite, Flink, Kafka, and RabbitMQ., • Experience with monitoring tools (Nagios, Grafana, Prometheus), • Experience with cloud security and compliance implementation is a plus., • Strong follow-through and initiative to stay with issues until they are resolved., • Comfortable working within a distributed team located in multiple time zones.

Job DescriptionFloQast is a fast-growing SaaS company innovating how accounting teams close the books faster and more accurately. Our mission is to take manual, error-prone work out of financial close and give teams the tools they need to collaborate, automate, and scale. We're trusted by thousands of accounting teams, including some of the world’s most recognizable brands. We are looking for a Staff DevOps Engineer to drive the technical direction, architecture, and reliability of our secure, scalable, and high-performance SaaS platform. In this role, you'll be a leader, tackling complex engineering challenges, mentoring other engineers, and influencing the company's technical strategy. If you are passionate about building and scaling reliable, cloud-native systems and thrive on solving problems that span multiple teams, we want to hear from you. This job is hybrid 3 days a week to our San Jose office. Visa sponsorship is NOT available at this timeWhat You'll Do • Architectural Leadership: Act as a subject matter expert, defining and driving architectural enhancements, design, and integration solutions across the platform utilizing serverless and containerization technologies., • System Reliability: Take ownership of designing and building reliable systems, ensuring high standards for durability, availability, disaster recovery, and performance., • Operational Excellence: Define, monitor, and enforce SLIs, SLOs, and SLAs, and establish proactive alerting and real-time dashboards for deep insights into system health., • Automation and CI/CD Strategy: Work with the developer experience team to develop and evolve CI/CD workflows, automating tasks across the full software development lifecycle to significantly improve developer experience and efficiency., • Mentorship and Best Practices: Serve as a top level technical mentor to senior and junior engineers, promoting and enforcing methodologies and best practices, including test-driven development and automated testing., • Extensive Experience: 8+ years of experience in a DevOps, SRE, or Infrastructure Engineering role, with a track record of driving large-scale, high-impact projects., • Technical Expertise: Deep expertise in cloud-native technologies, particularly with container orchestration (Kubernetes, ECS) and Infrastructure as Code (Terraform)., • Advanced Tooling: Expertise in implementing monitoring and observability solutions, including tools like Grafana, Coralogix, AWS CloudWatch, and Open Telemetry (OTEL)., • CI/CD Mastery: Proven experience with CI/CD tools (e.g., Jenkins, GitHub) and a history of building and managing advanced automation pipelines., • Deep Cloud Knowledge: A solid understanding of advanced AWS networking, security, and infrastructure concepts., • Scripting and Automation: Expertise in scripting and automation using Python, Bash, or Go., • Exceptional Communication: Strong ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders., • Independent Leadership: Self-motivated and capable of working autonomously, taking initiative to identify and solve ambiguous, high-level problems., • Problem-Solving: An analytical thinker with strong attention to detail and a proven ability to lead root-cause analysis and problem-solving efforts., • Mentorship: A natural leader who enjoys guiding and upskilling other engineers.#BI-Remote #LI-Hyrbid #LI-JM1 This job posting is for our Senior Staff Engineer, Data the base pay range for this position is $164,000 - $246,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast:FloQast is the leading Accounting Transformation Platform in accounting workflow automation created by actual former accountants for accountants. By streamlining and modernizing daily accounting tasks, FloQast helps teams collaborate more effectively and complete their work with greater efficiency and precision. This cloud-based, AI-powered software is trusted by over 3,000 accounting teams, including those at Snowflake, Twilio, Instacart, and The Golden State Warriors—and continues to grow. Our mission is to continuously elevate the accounting profession, enhancing both its practice and perception. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways FloQast is regularly rated as a Best Place to Work!- Inc. Magazine’s Best Workplaces in 2024, 2023, 2022, and 2021- Best Places to Work by LA Business Journal since 2017 (that’s 8 years!)- Built In’s Best Place to Work in Los Angeles 6 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCoreWeave 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 You'll Do: We're looking for a Senior Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You'll help evolve CoreWeave's storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world. This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlesslywhile maximizing performance and reliability. About the role: • Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs., • Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency., • Participate in efforts to improve the reliability, durability, and observability of our storage stack., • Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 6–10 years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture., • Strong debugging and problem-solving skills in distributed, high-performance environments. The base salary range for this role is $139,000 to $204,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSalary: $120,000 - $140,000 Credo's Optical DSP Application Engineering Team Fueling the next generation of AI data centers, our mission is to enable and drive high-speed communication by providing cutting-edge technology, world-class quality, and interoperability. We deliver advanced high-speed communication solutions, including chips, optical modules, and active optical cables. Our current chips support speeds up to 1.6TBps. Key Responsibilities • Define and implement test plans and test cases., • Develop scalable test framework components., • Develop automation and flows for testing, data acquisition, and data analysis., • Set up lab testing environments, including evaluation boards, test equipment, and test code., • Create and exercise lab automation involving evaluation boards, third-party test equipment, data acquisition, and environmental conditions., • Bring up new systems that may include new hardware, chip firmware, or algorithms., • Collaborate with chip design teams., • Support FAE and sales teams as the first line of communication with customers, both pre- and post-sale., • Troubleshoot and perform root cause analysis of issues and bugs., • Implement algorithms for signal acquisition and link optimizations., • Work with customers to enable, optimize, and troubleshoot optical communication products., • Write and maintain technical documentation for both internal and external use., • Develop and exercise data and signal analysis tools and algorithms., • Perform system integration and optimization, mediating multiple cross-functional teams such as DSP design, analog design, firmware, software, specific hardware design, and optical components., • Conduct system integration on switch and server levels, simulating AI datacenter environments. Education, Skills and Experience • Desire and willingness to learn and grow, • Bachelor's degree+ in EE, CE or software engineering, or a related field., • 3+ years of experience in software or hardware development, • Proficiency and delight in Python coding, including data and signal analysis, • Some background and understanding of signal processing and digital communication, • Some experience with hardware or high-speed communication systems, or strong desire to learn, • Strong critical thinking, analytical and problem-solving skills., • Excellent communication and teamwork abilities., • Comfortable with Linux environment Preferred Qualifications • Experience with fiber optic communication systems., • Experience with high speed SerDes, • Experience in High-speed hardware design and signal integrity, • Experience in Wireless or mobile communications, especially PHY, • Knowledge of Ethernet and InfiniBand protocols and standards Extra bonus points • Frontend and backend of webapp, • Dashboarding applications like "Dash" and Grafana, • Expert level of Pandas and NumPy, • Expert level in Python's graphing libraries like Plotly and Pyplot

Job DescriptionSalary: $140,000 - $160,000 About Us Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML-based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud, and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional Sports organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team. Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe. Job Overview We are looking for a highly skilled Lead Automation Engineer to join our Engineering team. You will play a pivotal role in ensuring the reliability, performance, and scalability of our network observability solutions by designing, developing, and maintaining automated testing frameworks. You will collaborate closely with engineering, SRE, DevOps, Sales Customer Support teams to improve test coverage, accelerate delivery, and enhance product quality. Key Responsibilities • Design, develop, and maintain robust automated test frameworks and test suites for network and observability platforms., • Define test strategies for functional, integration, performance, scalability, and regression testing., • Collaborate with engineering teams to understand requirements, design test cases, and identify potential risks., • Integrate automated tests into CI/CD pipelines to enable continuous testing and faster delivery cycles., • Analyze test results, identify root causes of failures, and provide actionable feedback to development teams., • Mentor and guide other engineers on best practices for test automation and observability testing., • Drive quality initiatives across the platform, including test coverage metrics, automation metrics, and reporting., • Work with observability tools (logs, metrics, traces) to validate network behaviors and ensure platform reliability. Requirements • Bachelors or Masters degree in Computer Science, Engineering, or related field., • 8+ years of experience in software testing, with at least 5 years in test automation., • Strong programming skills in languages such as Python, Java, or Go., • Experience with test automation frameworks (e.g., Selenium/Playwright, Pytest, Robot Framework, JUnit)., • Experience with network technologies, protocols (TCP/IP, BGP, SNMP), and observability tools (Prometheus, Grafana, ELK)., • Experience integrating tests with CI/CD pipelines (Jenkins, GitLab CI, or similar)., • Strong analytical, debugging, and problem-solving skills., • Excellent communication skills and ability to influence quality practices across teams. Preferred Qualifications • Experience with large-scale distributed systems and cloud-native architectures., • Knowledge of container orchestration (Kubernetes, Docker) and microservices testing., • Familiarity with network performance testing and monitoring., • Experience with test data management and simulation of network traffic., • Prior experience mentoring or leading automation teams. Compensation • The salary for this role is $140,000 - $160,000. Final offer amounts are determined by multiple factors, including prior experience, and may vary from the amount listed.

Job DescriptionCoreWeave 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 . What You'll Do: The Insights team at CoreWeave is responsible for helping customers understand what's happening inside their CoreWeave cloud environments clearly, proactively, and at scale. We build intelligent observability experiences that surface high-value signals across performance, reliability, and cost, enabling customers to operate complex GPU-powered systems with confidence. This team sits at the intersection of infrastructure, observability, and UX, partnering closely with Engineering and Design to turn raw telemetry into actionable insight. About the role: As a Staff Product Manager for Insights, you will own the strategy and execution of Insights experiences within CoreWeave's observability portfolio. Your day-to-day work will focus on defining how customers discover, understand, and act on signals across their AI workloads, through dashboards, alerts, and AI-powered insights. You'll lead high-impact problem areas such as cost optimization and workload efficiency, shaping how insights are proactively surfaced rather than manually discovered. This role requires deep technical understanding, strong product judgment, and the ability to operate across multiple engineering teams in a complex, data-rich environment. In this role, you will: • Own the Insights product area, defining vision, roadmap, and success metrics across observability experiences., • Drive AI-powered insights and alerting, including Grafana-based experiences that surface high-signal, low-noise information to customers., • Translate raw telemetry (metrics, logs, events) into curated, actionable insights that help customers understand performance, reliability, and cost drivers in their AI workloads., • Partner with Engineering and Design to ship proactive insights, including natural-language and automated analysis where appropriate., • Go deep on priority domains such as cost optimization, identifying what signals matter most and how they should be presented to drive action., • Strong familiarity with observability systems, particularly tools such as Grafana., • Hands-on experience with PromQL and LogQL, and a solid understanding of metrics and log-based analysis., • Experience building or product-managing AI-powered insights, including natural-language or automated signal discovery., • Strong understanding of cloud infrastructure and customer concerns related to monitoring, performance, reliability, and workload optimization., • Proven experience translating complex technical data into customer-facing product experiences., • You love solving hard customer problems using data and systems thinking., • You're deeply curious about how customers operate AI workloads day-to-day and how tools can better fit their workflows. 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 "The base salary range for this role is $188,000 to $275,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We are seeking a highly skilled and forward-thinking Staff Data Scientist with 5–7 years of experience in AI/ML, Generative AI, and Agentic AI systems to join our Advanced Supply Chain Analytics team. This role will focus on developing intelligent, autonomous, and self-orchestrating systems that enhance forecasting, planning, and operational decision-making across the global supply chain. The ideal candidate will have hands-on experience with LLMs, LangChain, multi-agent frameworks, and cloud-based ML engineering (AWS). You will design scalable, production-grade AI solutions, collaborating closely with cross-functional teams to accelerate our digital and supply chain transformation journey. ESSENTIAL DUTIES AND RESPONSIBILITIES: AI/ML, Generative AI & Agentic AI Development • Design, build, and deploy AI/ML models for Supply Chain Planning (Demand Planning, Product Planning, Capacity planning, Inventory optimization, and production scheduling)., • Develop multi-agent and generative AI-powered systems (using LLMs and frameworks like LangChain, AutoGen, CrewAI) to enable real-time decision orchestration and intelligent automation., • Prototype intelligent assistants that interpret complex workflows, automate tasks, and generate data-driven recommendations for supply chain planners., • Build and maintain scalable AI/ML pipelines using Python, Pandas, Neural Prophet, SQL, Spark, and AWS tools (S3, Lambda, SageMaker)., • Utilize containerization (Docker) and orchestration (Kubernetes) for deployment of multi-agent applications., • Work with Planning, Procurement, Manufacturing, IT, and Engineering teams to identify and prioritize use cases for automation and decision augmentation., • Lead the exploration and adoption of Agentic AI frameworks for autonomous planning and execution in supply chain functions., • Stay current with emerging technologies in AI/ML, GenAI, and distributed intelligence systems., • Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency. Qualifications REQUIRED: • Master’s or PhD in Computer Science, Data Science, Statistics, or a related quantitative field with a focus on AI/ML., • 5–7 years of experience in AI/ML model development and deployment, preferably in supply chain or manufacturing environments., • Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)., • Hands-on experience with LLMs, LangChain, Agentic AI frameworks (e.g., AutoGen, CrewAI, BabyAGI)., • Proficiency with Docker, Kubernetes, MLflow, Airflow, and GitHub., • Familiarity with AWS services and observability tools like Grafana and CloudWatch., • Exceptional communication, stakeholder management, and problem-solving skills., • Shape the future of Agentic and Generative AI-driven Supply Chain Transformation., • Collaborate with global teams driving large-scale operational excellence., • Work with cutting-edge AI tools to solve complex, real-world problems at enterprise scale. Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 06/16/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-RT1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Job DescriptionCompany Description About CyberArk CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com. Copyright © 2026 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders. Job Description We’re looking for a Senior-level Performance Test Engineer / Senior SDET to help us elevate performance testing as a core Quality practice across our cloud-native platform. You’ll act as a Quality and Performance Engineer who builds tooling, frameworks and infrastructure that development teams trust and adopt. Performance is a key focus of this role – but it is one aspect of a broader mission: enabling teams to build scalable, reliable and production-ready systems. Performance requirements are often implicit or under-defined – part of your role to help define what needs to be tested and how it should be measured. This role sits within our Test Enablement group and implies close collaboration with development teams, other SDETs acting as Quality champions and the Production Engineering team. Responsibilities You will have the opportunity to: • Implement and evolve performance and reliability tests for cloud-native, microservices-based systems, • Collaborate with Test Enablement and development teams to apply an existing performance testing direction and build upon it over time, • Build and maintain performance test components for load generation, ramp-up and steady-state testing, result collection and analysis, • Execute performance tests in CI/CD pipelines and support their integration into regular development workflows, • Use observability tools to analyze, visualize, and communicate performance results, including latency distributions, throughput, and error rates, • Store, track, and compare performance results over time to help identify regressions and trends, • Assist in emulating realistic customer environments, including networking, certificate-based flows, and multi-service interactions, • Partner with development teams to help them understand performance test results and improve system behavior under load, • Participate in code reviews and technical discussions related to test infrastructure and performance #LI-HA1 #LI-Hybrid Qualifications • 3-4 years of experience in test automation, SDET, performance engineering, or backend engineering roles, with a strong testing focus, • Strong coding skills in Go, Java, or Python (Go preferred), • Hands-on experience implementing performance tests for cloud-based applications, • Practical understanding of:, • Performance testing types: baseline, load, stress, soak etc., • Load patterns (steady, ramp-up, spike, soak) and which scenarios they map to, • Core performance metrics (p50/p90/p99 latency, throughput, error rates), • Setting performance goals, • Experience working with observability platforms to analyze and visualize performance data, such as: Prometheus, Grafana, Datadog (or similar tools), • Experience building upon at least one public cloud platform (GCP preferred, but AWS, Azure etc. also valuable), • Familiarity with public cloud service paradigms, including virtual machines, containers, container orchestration and serverless, in any specific vendor flavor, • Experience integrating tests into CI/CD pipelines (GitLab CI preferred, but GitHub Actions, TeamCity, Jenkins etc. also valuable), • Solid understanding of Linux-based systems; working knowledge of Windows environments, • Networking fundamentals (TCP/IP, DNS, HTTP/S) Nice to Have: • Familiarity with performance testing tools such as k6, Locust, JMeter, Gatling, or custom-built load generators, • Experience working with containerized environments and distributed systems, • Exposure to cloud infrastructure components (load balancers, auto-scaling, storage services) and how they can impact performance, • Experience with SaaS platforms or security-sensitive systems, • GCP experience or interest is a plus, • PKI and Certificate management, • Exposure to infrastructure-as-code tools (Terraform, Ansible), • Ability to write clean, consistent, and well documented code following best practices, • Fast learner with strong problem solving and analytical skills, • Ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment, • Self-motivated, able to work independently and be reliable and responsive, • Experience with typical IT infrastructure, such as load balancers, web servers, certificate authorities, identity management systems, etc. Additional Information CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The salary range for this position is $150,000/year - 188,000/year, plus equity and discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.

Job DescriptionHPC / GPU Infrastructure Engineer (MAAS, Slurm, NVIDIA Stack) We are seeking experienced engineers to support the deployment of a high-performance GPU cluster (~100 NVIDIA A100 GPUs) in Mountain View, CA. This is a hands-on role focused on standing up a production-ready environment for provisioning, configuration management, workload scheduling, and observability using industry-standard tools. The engagement is short-term (1–2 months) and will require strong execution and troubleshooting capabilities. Scope: • Deploy and configure Canonical MAAS for bare metal provisioning, including IPMI/BMC integration and Ubuntu 22.04 LTS imaging., • Develop and execute Ansible playbooks to fully automate system configuration across all nodes., • Install and manage the NVIDIA software stack (drivers, CUDA, DCGM), including version control and validation., • Configure Slurm Workload Manager, including fair-share scheduling, preemption policies, and user management (LDAP/local)., • Set up Infiniband/RDMA networking for high-performance communication between nodes., • Deploy Prometheus and Grafana for monitoring, including GPU telemetry via DCGM exporter., • Troubleshoot system-level issues (GPU errors, PCIe issues, networking, performance bottlenecks)., • Deliver a fully automated, reproducible cluster setup with minimal manual intervention. Required: • Strong experience with Linux systems (Ubuntu preferred) and bare metal environments., • Hands-on expertise with Ansible for infrastructure automation., • Experience working with GPU clusters, HPC environments, or ML infrastructure., • Familiarity with NVIDIA stack (drivers, CUDA, DCGM)., • Experience with Slurm or similar workload schedulers., • Understanding of networking, ideally including Infiniband / RDMA., • Experience deploying or managing monitoring tools (Prometheus, Grafana)., • Strong troubleshooting and debugging skills across hardware and software layers. Pluses: • Experience with MAAS (Metal-as-a-Service) or similar provisioning tools., • Background in AI/ML training infrastructure., • Experience debugging GPU-level issues (XID errors, PCIe failures)., • Familiarity with enterprise security agents (e.g., CrowdStrike, Fleetspeak/GRR)., • Prior experience in data center or large-scale cluster environments. Estimated Min Rate: $70.00 Estimated Max Rate: $80.00/+hr. Depends on work experience What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann 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, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: Company DescriptionYoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at

Job DescriptionCoreWeave 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 the Role Production Engineering ensures CoreWeave's cloud runs with world-class reliability, performance, and operational excellence. Herd is our newest innovation: an agentic AI platform that serves as CoreWeave's intelligent SRE assistant - combining AI reasoning, data infrastructure, and observability into an autonomous operational intelligence layer for internal use. As a Production Engineer on Herd, you'll define and build the systems that power a scalable agentic ecosystem. You'll design distributed services and data pipelines that process, embed, and retrieve operational knowledge at scale, enabling LLM-powered agents to work alongside human engineers in production. This is a hands-on role at the intersection of AI operations, distributed systems, and data infrastructure. What You'll Do • Architect and build large-scale distributed systems that power AI SRE Platforms., • Design data infrastructure for AI reasoning (embedding generation, context retrieval, vector stores) optimized for real-time operational queries., • Build agent orchestration and lifecycle components so agents can communicate, delegate, and reason collectively across CoreWeave systems., • Integrate AI SRE Platform with a large number of internal systems (Kubernetes, observability platforms, etc.) to enable end-to-end automation and insights., • Lead architectural design discussions and set technical direction for AI-driven reliability systems., • Partner across Production Engineering, Data Engineering, ML Infrastructure, and Platform to operate AI SRE as a high-availability platform embedded in critical reliability workflows., • Develop services that interpret telemetry, detect anomalies, and generate RCA (root cause analysis) and PIR (post-incident review) artifacts; trigger automated mitigations where appropriate., • Codify operational best practices into services, APIs, and Kubernetes-native components., • Participate in an on-call rotation supporting the systems you build. What You've Worked On (Minimum Qualifications) • 5+ years in software or infrastructure engineering building and operating distributed systems at scale., • Proficiency in Python (or similar), with experience delivering production microservices and data pipelines., • Expertise in Kubernetes, container orchestration, and cloud-native architectures., • Strong understanding of data systems (streaming, indexing, caching, ETL)., • Demonstrated experience designing for scalability, fault tolerance, and performance.Preferred Qualifications, • Experience building RAG systems or embedding-based search., • Familiarity with vector databases and text/signal retrieval systems., • Experience developing or deploying agentic AI systems (LLM-based automation, AI observability)., • Strong distributed-systems background (consensus, message buses, job orchestration, eventual consistency)., • Experience designing data schemas and APIs for knowledge representation and operational reasoning., • Familiarity with ChatOps frameworks or workflow orchestration (Temporal, Argo, Airflow)., • Background in MLOps, AI infrastructure, or platform reliability engineering. Core Values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSite Reliability EngineerOnsite- Bay Area, CA Skills Relevant Skills and Experience What You’ll Do (Day-to-Day) * Own and manage our cloud infrastructure (GCP or AWS, on-prem). * Build, maintain, and optimize Kubernetes clusters (including GPU-backed clusters). * Implement and improve CI/CD pipelines (GitHub Actions). * Write and maintain Infrastructure as Code (Terraform). * Monitor system health and performance using Grafana and other observability tools. * Ensure high availability, reliability, and uptime across platforms. * Handle infrastructure maintenance, upgrades, and scaling. * Administer and improve our platform architecture and apply general security best practices across the stack. Note: This is an internal-facing role — no customer interaction. Must-Have: * 4+ years in SRE, DevOps, or Infrastructure Engineering * Solid experience with GCP or AWS (hybrid/on-prem a plus) * Experience with Kubernetes cluster management (GPU experience a bonus) * Hands-on with Terraform and CI/CD (GitHub) * Experience with monitoring/observability (Grafana, etc.) * Strong understanding of high availability and infrastructure reliability * Familiarity with platform/cluster architecture and administration * Security mindset and ability to apply best practice Nice-to-Have: * Startup experience (you enjoy building, not just maintaining) * Experience with scalable GPU infrastructure for AI/ML

Job DescriptionJava SRE Engineer Onsite San Francisco Bay Area Infrastructure Engineer (2 Positions) We are looking for an experienced Java SRE / Platform Engineer to support large-scale cloud migrations and production systems on AWS and Kubernetes platforms. This role is focused on infrastructure, reliability, and automation, with Java exposure as a supporting skill. Required Skill : AWS, AWS EKS, Kubernetes, DevOps / SRE, Java Key Responsibilities: • Lead large-scale migrations of business-critical applications to AWS and Kubernetes (EKS), • Design and operate production-grade AWS EKS platforms, • Implement GitOps-based deployment strategies using ArgoCD and Spinnaker, • Build and manage CI/CD pipelines and automated release strategies (blue/green, canary), • Develop Python-based automation for infrastructure and operations, • Create and maintain Helm charts and deployment standards, • Troubleshoot and optimize Linux-based systems in production environments, • Support production systems including on-call, incident response, and RCA, • Collaborate with SRE and Security teams to ensure system reliability and scalability, • Drive architectural decisions and contribute to long-term platform strategy, • Mentor team members and improve engineering practicesQualifications:, • 10+ years of experience in Cloud / DevOps / SRE / Platform Engineering, • Strong hands-on experience with:, • AWS (EKS, EC2, VPC, IAM, ALB/NLB, CloudWatch, S3, RDS), • Kubernetes, Linux systems, Python, ArgoCD (GitOps), • Spinnaker, Helm, • Experience with Infrastructure as Code (Terraform or CloudFormation), • Proven experience supporting production environments, • Experience leading or contributing to AWS migration projects, • Strong understanding of distributed systems and networkingPreferred Qualifications:, • Experience with Akamai CDN and caching strategies, • Experience with Redis and Kafka, • Familiarity with observability tools (Prometheus, Grafana, Datadog, Splunk), • Experience with service mesh (Istio, Linkerd), • Knowledge of SRE practices (SLIs, SLOs, error budgets), • Strong communication and documentation skills

Job DescriptionJob Title: DevOps Engineer IV Duration: 4 months [possible extension] Location: 222 N Wolfe Rd Sunnyvale 94085 Type: Hybrid, with 3 days a week in-office to make the most of in-person time around the team's schedule. Description: • Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide insights to customers on their overall health, leading to healthier lives., • Work cross-functionally with quality engineering, security, and development teams to craft solutions that puts patients at the center of care by empowering them to access and control their health records., • Developing self-service tools to enhance developer productivity for application management., • Proactively analyze and manage issues on Apple's medical records platform before they impact customers., • Be a key player in improving operational maturity though producing long term fixes from issues identified from on-call rotation., • Maintain & upgrading to the latest software version of Java, gradle, Scala)., • Work deploying scalable, fault tolerate infrastructure., • Setup monitoring and alerting for key services., • Programming and scripting fundamentals (with Python)., • Proven track record of securely architecting and managing cloud platforms such as (AWS, GCE, Azure) using Infrastructure as Code techniques., • Expert in designing and managing a predictive alerting platform using monitoring tools such as Prometheus, Grafana, Cloudwatch, Splunk, and DataDog., • Ability to troubleshoot problems by working with team members to resolve large scale production issues., • 5 to 8 years. Looking for someone who's self-motivated, independent, and ready to dive in without much direction. #TB_EN #ZR #INFRA1 #INFRA1Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CAFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Job DescriptionCoreWeave 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 You'll Do: CoreWeave is the top-rated AI-cloud for high-performance GPU infrastructure across AI/ML, visual effects, rendering, and real-time inference. Our stack is engineered for speed, scale, and cost-efficiency—an unmatched alternative to traditional hyperscalers. At CoreWeave, infrastructure is the product. About this role: We're looking for a Senior Engineer to be a driving force on CoreWeave's Benchmarking & Performance team, with a singular focus on our planet-scale performance data warehouse. You will own the architecture and evolution of how we ingest, store, transform, and surface performance data across every data center in our global infrastructure—turning billions of raw events into the trusted, queryable insights that power our engineering and business decisions. If you believe that the right storage format, the right schema, and the right query engine can turn a mountain of telemetry into a competitive advantage, this role was built for you. You will shape the data foundations that underpin industry-leading benchmark publications, internal performance SLAs, and executive-level reporting—working hand-in-hand with world-class partners and communities to ensure every number we publish is authoritative, reproducible, and actionable. Key Responsibilities: • Data Lake Architecture - Design and build our core performance data lake on columnar storage foundations. Select, integrate, and optimize table formats (Apache Iceberg, Parquet, Avro) to balance query performance, storage cost, and schema evolution. Implement hot and cold storage tiering strategies that keep recent data instantly queryable while efficiently archiving historical benchmarks at petabyte scale., • Schema Design & Data Modeling - Define and govern schemas for performance telemetry: latency distributions, throughput metrics, GPU utilization, cost-per-token, and hardware health signals. Establish naming conventions, partitioning strategies, and lifecycle policies that keep the warehouse fast, consistent, and self-documenting as new workloads and hardware generations come online., • Time-Series & Metrics Infrastructure - Own and extend our time-series database (TSDB) layer. Write and optimize PromQL/MetricsQL queries that power real-time dashboards, alerting, and trend analysis across thousands of GPUs and hundreds of benchmark runs. Bridge the gap between streaming metrics and batch-analytical workloads so engineers get sub-second answers and analysts get complete historical context from the same data., • BI, Visualization & Data-Driven Processes - Build compelling, self-service BI views and dashboards (Grafana, Looker, or similar) that translate raw performance data into clear stories for engineers, product managers, and executives. Design playbooks and data-driven runbooks that tie benchmark regressions, capacity decisions, and competitive analyses directly to live data. Champion a culture where every performance claim is backed by a reproducible query and a versioned dataset., • Query Optimization & Performance - Profile and tune query engines against columnar and time-series stores; reduce scan times, optimize join strategies, and introduce materialized views or pre-aggregations where they matter most. Benchmark the benchmarking infrastructure itself—ensuring our data platform meets its own strict P99 latency and freshness SLAs.Who you are, • 5+ years of experience building distributed systems, data platforms, or cloud services., • Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance., • Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry)., • Demonstrated expertise with data lake architectures, columnar databases, and modern table formats (Iceberg, Parquet, Avro); you understand the trade-offs between them and know when to reach for each., • Practical experience designing and managing hot/cold storage tiers for large-scale analytical workloads., • Strong schema design instincts—you think in partitions, sort keys, and evolution strategies, not just tables and columns., • Working knowledge of time-series databases and fluency in PromQL or MetricsQL for building dashboards, alerts, and ad-hoc analysis., • Experience building BI views, visualizations, and data-driven playbooks that turn raw data into organizational decision-making tools., • Strong communicator comfortable collaborating with cross-functional teams and external partners.Preferred (if applicable):, • Experience with time-series databases, LSM-based storage engines, or custom data pipelines., • Experience running MLPerf submissions or similar large-scale audited benchmarks., • Contributions to OSS projects such as Apache Iceberg, Apache Spark, Trino, llm-d, vLLM, or PyTorch., • Exposure to benchmarking large GPU fleets or multi-region clusters., • Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $162,000 to $242,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionThe Staff Software Engineer - Developer Experience (CI/CD & Platform Enablement) is responsible for elevating engineering productivity at scale by designing, standardizing, and evolving our CI/CD platforms and infrastructure workflows. This role sits at the intersection of platform engineering and developer enablement, with a primary focus on modern CI/CD systems (including GitHub Actions) and infrastructure as code using Terraform.This role is less focused on operating production systems directly, and more focused on building paved roads that make it easy, safe, and fast for product engineering teams to build, test, and deploy software. You will define standards, reduce friction in the software delivery lifecycle, and create self-service infrastructure patterns that scale across teams. You will partner with engineering leadership and cross-functional teams to ensure the software development lifecycle is secure, automated, observable, and optimized for speed and reliability. As a staff-level engineer, you will also mentor senior engineers and influence architectural decisions across the organization.What You’ll Do • Define and execute the long-term strategy for CI/CD across the organization, with primary ownership of our GitHub Actions ecosystem., • Architect reusable workflow templates, composite actions, and standardized deployment pipelines., • Establish guardrails for secure, compliant, and scalable build and release processes., • Drive pipeline performance optimization (build times, caching strategies, parallelization, artifact management).Infrastructure as Code & Self-Service Enablement, • Lead the design and evolution of infrastructure modules and patterns built in Terraform., • Create opinionated, reusable Terraform modules that abstract complexity and enforce best practices., • Partner with security to embed policy-as-code and compliance automation into infrastructure workflows., • Enable self-service infrastructure provisioning through standardized pipelines.SDLC Optimization & Engineering Productivity, • Instrument the software development lifecycle and use data to drive improvements in deployment frequency, lead time, failure rates, and recovery time., • Introduce automation that eliminates repetitive developer tasks., • Improve local-to-cloud parity and streamline branch-to-production workflows., • Champion trunk-based development, release automation, and progressive delivery practices.Platform Governance & Cross-Team Leadership, • Set CI/CD and infrastructure standards across multiple product lines., • Lead multi-team initiatives such as pipeline migrations, CI/CD consolidation, and IaC modernization efforts., • Publish internal documentation, reference architectures, diagrams, and enablement materials., • Serve as a trusted advisor to engineering leadership on delivery velocity, platform scalability, and developer productivity.Reliability & Operational Enablement, • Embed observability, testing, and rollback strategies directly into pipelines., • Ensure deployments are resilient, repeatable, and auditable., • Participate in post-incident reviews with a focus on systemic improvements to tooling and delivery processes.Mentorship & Technical Advocacy, • Mentor senior engineers and DevOps practitioners in CI/CD architecture and infrastructure as code., • Advocate for an automation-first, developer-first culture., • Raise the technical bar for pipeline design, testing standards, and release engineering practices.What You’ll Bring, • 8–10+ years of experience spanning software engineering, DevOps, platform engineering, or developer productivity., • Deep hands-on expertise with CI/CD systems, especially GitHub Actions (enterprise-scale implementation preferred)., • Strong experience building scalable infrastructure using Terraform (modules, workspaces, state management, policy integration)., • Strong experience working within the AWS ecosystem (e.g., VPC, ECS, EC2, S3, IAM, Lambda, CloudWatch)., • Experience designing secure, scalable pipeline architectures (artifact management, secrets handling, OIDC, ephemeral environments)., • Proven track record of improving engineering productivity through automation and tooling., • Experience embedding observability and quality gates into CI/CD workflows., • AI-first thinking applied to pipeline optimization, incident analysis, and developer feedback loops., • Strong experience with monitoring, metrics, and visualization tools (e.g CloudWatch, Grafana), • Experience influencing technical direction across multiple teams or domains.#LI-Hyrbid #LI-JM1 This job posting is for our Staff Software Engineer, the base pay range for this position is $164,000 - $246,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast:FloQast is the leading Accounting Transformation Platform in accounting workflow automation created by actual former accountants for accountants. By streamlining and modernizing daily accounting tasks, FloQast helps teams collaborate more effectively and complete their work with greater efficiency and precision. This cloud-based, AI-powered software is trusted by over 3,000 accounting teams, including those at Snowflake, Twilio, Instacart, and The Golden State Warriors—and continues to grow. Our mission is to continuously elevate the accounting profession, enhancing both its practice and perception. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways FloQast is regularly rated as a Best Place to Work!- Inc. Magazine’s Best Workplaces in 2024, 2023, 2022, and 2021- Best Places to Work by LA Business Journal since 2017 (that’s 8 years!)- Built In’s Best Place to Work in Los Angeles 6 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: As a Senior Software Engineer on our storage team, you'll be joining our core engineering team to design, build, and optimize our next-generation cloud storage products. We're looking for a hands-on engineer with deep expertise in building storage systems. You will be responsible for building highly performant, reliable, and scalable distributed storage systems that are critical to our infrastructure and our customers' AI/HPC workloads. What You’ll Be Working On: * Building Our Multi-Petabyte Cloud Storage Platform * Building core components of our foundational storage products, purpose built for high performance AI and ML workloads * Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions * System Design & Architecture * Design and implement high-performance, scalable, and resilient storage architectures that are highly extensible * Proposing and prototyping novel strategies to scale performance and system throughput for our most demanding customer workloads * Building observability, metrics and tooling for our services and fleet * High Velocity Problem Solving * Troubleshooting and resolving unique and complex distributed systems problems only seen at the scale we operate at * Provide ongoing support for production systems, and customer workloads including troubleshooting, performance tuning, and incident response * Cross-functional Collaboration * Foster strong collaboration with other engineering teams (e.g., Software Infrastructure, Product) and cross-functional departments * Single threaded ownership and representation of the storage team in business critical initiatives across the company You’ll Bring to the Team: * Hands-on proficiency in modern software development best practices, and practical experience in languages like Go, Java, C/C++, or Rust * Extensive experience developing multi-tenant, cloud scale distributed storage infrastructure software and systems * Experience contributing to at least one or more of the following storage products: File (e.g., NFS, SMB, Lustre), Object, or Block Storage (e.g., NVMe, iSCSI) * A strong background in high performance filesystem based products, VFS and linux filesystems (e.g., ext4, XFS, ZFS) * Proficiency working with Linux and its storage subsystems. * Knowledge of monitoring tools (Prometheus, Grafana), log analysis, distributed tracing and debugging Bonus Points: * Experience with AI/HPC storage solutions, such as Parallel Filesystems or petabyte+ scale Object Storage. * Familiarity with networking technologies like RDMA and Infiniband. * Familiarity with modern storage technologies (e.g GPU Direct Storage, F2FS, SPDK etc) * Prior experience with Nvidia SuperNIC DPUs for storage optimization * Prior experience in Storage Virtualization & Orchestration, volume placement strategies and distributed metadata management * Research publications or open-source contributions to storage-related projects. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionCoreWeave 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 . CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. About the role As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave's orchestration platform including SUNK (Slurm on Kubernetes) and beyond our Kubernetes-native foundation that powers AI training and inference at scale. This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters. By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what's possible with AI. What You'll Do As a Senior Software Engineer I (IC3), you will own multiple services within the orchestration platform. You'll lead design/code reviews, decompose projects into milestones, and drive measurable improvements in reliability and performance. You'll define SLIs/SLOs for your services, strengthen operational practices, and mentor IC1/IC2 engineers. Your work will ensure customers see consistent improvements in throughput, latency, and system resilience. Who You Are • ~3–5 years of professional software engineering experience building distributed systems or cloud services., • Strong coding in Go (Python or C++ a plus) with solid CS fundamentals., • Hands-on experience running Kubernetes at production scale., • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)., • Proven ability to improve service reliability and performance using metrics (P95/P99 latency, throughput, error budgets).Preferred, • Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows, • Experience with distributed workloads, GPU-based applications, or ML pipelines., • Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave 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 You'll Do: Join the Inference team to ship production features that improve latency, reliability, and cost for model serving on our GPU platform. As an IC1, you'll implement well-scoped changes, learn our operational practices, and grow quickly with mentorship from experienced engineers. About the role: • Implement well-scoped features and fixes in Python/Go/C++ for model-serving services (e.g., Triton, vLLM, TensorRT-LLM, Ray Serve)., • Write tests, code comments, and short design docs; participate in code reviews., • Add basic metrics and dashboards; assist with alarms and runbooks., • Follow on-call runbooks and learn incident response in a guided rotation., • Contribute to performance experiments (e.g., request batching, concurrency, caching) with guidance.Who You Are:, • BS/MS in CS, EE, or related field, or equivalent practical experience. Preferred: • Internship or project that deployed a microservice or ML inference demo., • Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $92,000 to $135,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave 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 the Role We are seeking Senior Software Engineers who specialize across the pillars of Observability to play a pivotal role in CoreWeave's ability to bring the best performing systems to market. Whether you focus on metrics, logging and tracing, or telemetry pipelines and visualization, you'll have an outsized opportunity to enable both CoreWeave and its customers to understand, troubleshoot, and optimize complex systems at the forefront of Artificial Intelligence. What You'll Do • Design, build, and own core observability infrastructure, including highly scalable and reliable logging, metrics, and tracing platforms., • Develop and operate high-throughput telemetry pipelines that ingest, transform, and expose observability data, ensuring reliability, security, and transparent data migrations for platform consumers., • Tackle observability challenges at extreme scale, supporting clusters of thousands of GPUs, petabyte-scale telemetry, and high-cardinality workloads., • Continuously improve performance, security, reliability, and scalability of observability services through software enhancements, automation, and new feature development., • Participate in the team's on-call rotation to support critical production systems, focusing on root cause analysis and building durable solutions to prevent recurrence., • Collaborate closely with internal engineering teams, applying a platform-as-a-product mindset to understand their needs and embed observability best practices and custom tooling into their systems., • Contribute to the overall observability strategy, influencing the direction of our platform and the experience we provide to customers.Who You Are, • 5+ years of experience in software or infrastructure engineering, with a proven track record of designing, building, and operating large-scale distributed systems in production., • Proficient in Go (our primary language) or Python, with the ability to write clean, resilient, and testable production code., • Hands-on Kubernetes experience in production, including containerization and microservices architectures, and familiarity with their observability challenges., • Demonstrated experience designing, building, and delivering robust and scalable systems, with a commitment to operational excellence, high-quality code, effective testing, and progressive release strategies., • Ability to analyze and decompose complex problems in elastic, distributed architectures into manageable, well-scoped work., • Comfortable working with Helm and YAML-based configuration for deploying and managing services, including templating, automation, and infrastructure-as-code practices., • A customer-obsessed, platform-minded engineer, eager to provide infrastructure as a service and apply a product lens when evaluating platform scale problems., • Experience participating in an on-call rotation for critical production systems.Preferred Qualifications, • Direct, hands-on experience designing, operating, or scaling logging, tracing, and/or metrics platforms (e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos)., • Familiarity with data streaming systems (e.g., Kafka, Kafka Connect) for observability pipelines., • Experience automating and provisioning infrastructure as part of the software development lifecycle, using tools like Terraform., • Experience with OpenTelemetry for unified telemetry collection and instrumentation. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave 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 You'll Do: Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services. You'll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform and meet strict P99 SLAs at scale. About the role: • Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones., • Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release., • Implement advanced optimizations (e.g., micro-batch schedulers, speculative decoding, KV-cache reuse) and quantify impact., • Strengthen incident posture: capacity planning, autoscaling policy, graceful degradation, rollback/traffic-shift strategies., • Mentor IC1/IC2 engineers; review cross-team designs and elevate coding/testing standards., • Own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation). Who You Are: • ~5–8 years industry experience building distributed systems or cloud services., • Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance., • Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry)., • Practical knowledge of inference internals: batching, caching, mixed precision (BF16/FP8), streaming token delivery., • Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe)., • Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack - from simulation to silicon. We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we do to our ASIC, software, and platform. You will lead the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes building and scaling our hybrid high-performance compute (HPC) cluster, optimized for massively parallel CI, EDA workflows, Emulation, and hardware-aware job execution. You’ll also architect and implement a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and smart alerting - across CI pipelines, simulation clusters, and service endpoints. This role demands a strong software engineering mindset, quality instincts, and deep understanding of systems. It’s not just about writing scripts - it’s about writing code that builds and manages infrastructure with precision, repeatability, and intent. Key responsibilities * Architect and Scale Distributed Compute Systems: Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale. * Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack. * Optimize End-to-End Developer Experience: Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity.. * Workload Elasticity, Reliability, and Efficiency: Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends. * Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization. * Push the Limits of Observability: Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain proactive against issues impacting development and productivity workflows. Representative projects * Design and deploy a fully automated, scalable hybrid HPC cluster, combining bare-metal servers and switches with cloud instances, provisioned through MaaS and orchestrated via SLURM and Kubernetes, optimized for mixed EDA workloads and parallel CI pipelines. * Develop a real-time observability system for ASIC toolchain jobs and distributed builds, integrating Prometheus, Grafana, and VictoriaMetrics with streaming telemetry, tracing, and alerting to detect performance regressions before they hit silicon. * Architect and implement a programmable infrastructure-as-code control plane, using Terraform, Ansible, and Puppet, to version, audit, and redeploy every layer of Etched's development stack with deterministic reproducibility. * Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network, abstracting away cluster state and machine failures. * Prototype and evaluate dynamic workload migration strategies between on-premise and cloud environments to optimize for latency, reliability, and cost across simulation and synthesis pipelines. * Design a synthetic testing and fault injection framework to validate the behavior of infrastructure under high-load, degraded hardware, and intermittent network partitions - before they happen in production. You may be a good fit if you * Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale. * Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control,small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration. * Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling. * Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems. * Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems. * Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks. * Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads. * Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts. * Have 8+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered. * Are driven by curiosity, take initiative, and have an innate sense of ownership — you thrive in uncharted territory, design for edge cases, and love making systems more powerful, reliable, and elegant. Strong candidates may also have experience with * Familiarity with Bazel build system * Deep understanding of ASIC development flows, especially those involving Synopsys, Cadence, and Verilator, including how EDA tools interact with infrastructure for simulation, synthesis, and verification. * Hands-on experience architecting systems with AWS, GCP, or Azure, including hybrid on-prem/cloud deployments, workload migration strategies, and cloud-native orchestration tooling. * Experience monitoring, provisioning, and debugging bare-metal servers, network hardware, and high-performance storage systems in rack-scale environments. * Comfortable in profiling and optimizing compute environments for single-threaded latency, memory-bound workloads, or I/O throughput, especially in the context of simulation or CI performance. * Proficiency building or operating telemetry systems at scale using Prometheus, Grafana, Loki, VictoriaMetrics, and tools for distributed tracing, log aggregation, and real-time alerting across heterogeneous mediums (SMS, email, push alerts, etc.) Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $250K