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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

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.

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.

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.

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.

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.

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. Supermicro is seeking an experienced Software Engineer to join our exceptional team. In this critical role, you will drive the management software effort for Supermicro solutions. You will take ownership of the full-stack software development lifecycle. You will collaborate with product managers, designers, cross-functional teams, and external partners to deliver high-quality software solutions that fuel the growth of our solution business. Includes the following essential duties and responsibilities (other duties may also be assigned): • Design & Development: Design and develop robust Azure Local solution extension software for Azure hybrid cloud platform. This includes architecting the software from the ground up, writing clean and scalable code, and ensuring it meets the high standards of performance and efficiency that Supermicro is known for., • Integration: Work closely with Microsoft and cross-functional teams at Supermicro, including solution PMs, system PM/engineers, firmware, and driver engineers to integrate the Supermicro software in Azure hybrid cloud environment., • Maintenance & Support: Provide ongoing maintenance, support, bug fixes, and new feature implementation for the software., • 5+ years of experience in software development, • B.S or M.S Degree in Computer Science, Electrical Engineering, Mathematics, or a related field., • Proven experience working with Microsoft Azure services, including Azure Resource Manager, Azure CLI, and Azure PowerShell., • Familiar with on-premise or hybrid cloud solutions, preferably Azure Stack or Azure Local., • Experience with RESTful APIs and web services., • Proficient in below technologies:, • Front-end: HTML, CSS, JavaScript, and frameworks like React and Angular., • Back-end: Python, Node.js, Java, C#, or PHP, • Database: MySQL, MariaDB, MongoDB, or other relational and NoSQL databases, • Scripting Language: PowerShell, Azure CLI, • Familiar with Infrastructure as Code (IaC) principles and tools, such as ARM templates or Terraform., • Proficiency with version control systems, particularly GitLab. $133,000 - $151,000 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.

Job DescriptionReady to make connectivity from space universally accessible, secure, and actionable? Then you’ve come to the right place! At E-Space, we’re focused on bridging Earth and space with the world’s most sustainable low Earth orbit (LEO) satellite network. We’re a team of bold thinkers, ambitious leaders and dynamic doers—and we’re disrupting NewSpace by fundamentally changing the design of legacy LEO space systems to deliver entirely new satellite capabilities at a fraction of the cost. We’re intentional, we’re unapologetically curious and we’re 100% committed—to saving space, to protecting our planet and to turning connectivity into actionable intelligence. We are seeking an experienced Principal DevOps Engineer to lead the unification and standardization of development workflows across a large, multi-team engineering organization. This role will design, implement, and enforce a cohesive DevOps framework that integrates containerized development, company-wide code review and testing standards, and AI-assisted development methodologies. The objective is to ensure every engineering team—across all business units—develops, tests, and deploys software through a consistent, secure, and scalable process. What you will be doing: • Standardization and Governance Define and maintain a unified DevOps framework and documentation used across the organization. Standardize container workflows for creation, storage, and retrieval across all development teams. Establish consistent methods for saving and managing development data, ensuring traceability and reproducibility., • Automation and Tooling Build and maintain company-wide CI/CD pipelines integrating automated testing, code quality checks, and deployment automation. Develop and manage standardized container templates and base images for internal use. Manage infrastructure through Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Pulumi., • Code Reviews and Quality Assurance Implement and enforce organization-wide code review policies ensuring code quality, security, and maintainability. Integrate automated unit, integration, and regression testing into all CI/CD workflows., • AI-Integrated Development Lead adoption of AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude, CodeWhisperer), enabling developers to use their preferred assistants within governed frameworks. Create policies and infrastructure to safely incorporate AI into code generation, documentation, and testing. Collaborate with data and platform teams to manage AI training data and integrate feedback loops., • Cross-Team Coordination Partner with engineering managers to align DevOps standards with project requirements. Oversee company-wide container registries, shared repositories, and test frameworks. Mentor and coordinate DevOps engineers embedded within product teams., • Monitoring and Continuous Improvement Track operational metrics such as build time, test coverage, deployment frequency, and mean time to recovery. Continuously improve internal toolchains and DevOps practices to enhance developer efficiency and product reliability. What you bring to this role:, • 8+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering., • 3+ years in a senior or leadership role supporting 100+ engineers. Must be able to demonstrate direct DevOps leadership on commercially deployed, complex software systems, preferably supporting high-rate production code teams in active enterprise or SaaS environments., • Significant hands-on experience with C++ and Rust, including build systems, dependency management, and containerization for large-scale production applications. Expertise with Docker, Kubernetes, and CI/CD platforms (GitLab CI, GitHub Actions, Jenkins, or similar). Strong understanding of automated testing, code review workflows, and security automation., • Proven experience integrating AI tools into enterprise software development pipelines. Deep familiarity with cloud infrastructure (AWS, GCP, or Azure) and Infrastructure as Code practices., • Excellent technical documentation and cross-functional communication skills. Extra bonus points for the following:, • Experience unifying disparate development environments into standardized container-based workflows., • Familiarity with internal developer platforms (IDPs) or DevEx initiatives., • Understanding of AI data governance and compliance practices., • Prior experience implementing GitOps and managing artifact or container registries (Harbor, ECR, GCR, etc.). The estimated range is meant to reflect an anticipated salary range for the position in question, which is based on market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, depth of relevant experience, and other relevant factors. For questions about this, please speak to the recruiter if you decide to apply for the role and are selected for an interview.This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $185,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Developer Experience is a new team charged with fueling the future of Crusoe’s developer muscle. We set the tone for how engineering is done, ensuring that as Crusoe grows, their developer systems and code delivery capacity grow as well. We have a very broad charter that spans the software life cycle from design through coding, testing, and deployment. Our mission is to empower Crusoe engineers to deliver positive change to customers quickly, safely and efficiently. As an early member of the Developer Experience team, you will play a key part in unlocking the potential of Crusoe’s coding ecosystem. At Crusoe, you will be challenged with deep problems such as kernel upgrades as well as broad problems such as establishing first principles around unit testing, code reviews and rollouts. As a member of this team, you will take a key role in contributing to technical direction, communicating a strategic vision, and establishing a company culture of engineering excellence. You will work alongside stakeholders and customers to ensure that our work is aligned with long term company objectives - informing those objectives along the way. You’ll also lead efforts to define the future state of Crusoe’s evolving and rapidly growing software development efforts. A Day In The Life: * Partner with the broader engineering organization to build and define standard practices for how services are operated and observed throughout their lifecycle. * Establish an opinionated, flexible and cost-effective toolchain for delivering customer value at scale. * Fully integrate Crusoe’s developer systems to keep our developers in the flow state, ruthlessly eliminating toil that slows us down. * Immerse yourself in the developer experience so that you can identify and eliminate pain points. * Create libraries, tools, and pre-production environments for vetting service APIs and interactions between microservices. * Unify both internal tooling and vendor services to automate, build efficiency, and optimize security. * Innovate across the development lifecycle from source code, editors, build, CI, CD, platform runtime environments, telemetry, optimizations, monitoring and alerting. * Establish a culture of continuous quality delivery that scales as Crusoe scales. * Work diligently to build quality, efficient systems and processes to increase the impact of engineers around you. You Will Thrive In This Role If You Have: * You have expertise in understanding technical decisions, evaluating tradeoffs, and how these decisions impact individuals who will use what you build to optimize their work. * Are knowledgeable on how to leverage Gitlab to work with multiple repositories or Github. * You have fluent knowledge of industry-standard build tooling, containerization, and open source development tools, libraries, and frameworks. * Have experience working with modern build systems like Buck, Bazel, or others. * Have professional experience working with Kubernetes clusters or Kubernetes in general. * You have an understanding of testing infrastructure. * Experience with DevOps, Site Reliability, Release Engineering, or similar. * Bonus points if you have hands on working experience with Linux image construction - not just kernel but package building. * You have experience in relevant and modern open source programming languages (we use Golang). * You have empathy for building developer and operator workflows and productivity. * You have a passion for staying current on recent industry practices, open source advancements and an efficient developer community. * You like solving complex problems and then automating the solutions. * You enjoy working side-by-side with other top-notch engineers. * You hold either a BS or MS Degree in an Engineering or Analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent experience. 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 Range Compensation will be paid in the range of $166,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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 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 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 The Production Engineering team is responsible for building, scaling, and operating the cloud platform for CyberArk’s machine identity security products. Our solutions are trusted by the world’s largest organizations to protect and manage TLS machine identities, SSH machine identities, and Code signing identities. As a Senior Production Engineer at CyberArk, you will play a critical role in ensuring reliability and scalability. Your responsibilities will include: • Architecting and Operating: Designing, building, and maintaining the highly available Cloud Infrastructure platform for CyberArk Certificate Manager with a focus on scalability and resilience., • Pipeline Engineering: enhancing and optimizing the CI/CD ecosystem to ensure fast, secure, and reliable software delivery., • Cross-Functional Leadership: Collaborating closely with development teams to advocate for SRE best practices, observability, and cloud-native design patterns., • Automation: Driving "Infrastructure as Code" (IaC) initiatives to eliminate manual toil and improve system consistency. Qualifications The ideal candidate will possess: • 3-6 years of relevant work experience in DevOps, Platform Engineering, or Site Reliability Engineering (SRE)., • Cloud Proficiency: Strong hands-on experience architecting and managing infrastructure on AWS, Azure, or GCP (multi-cloud experience is a plus)., • Container Orchestration: Advanced expertise in managing and scaling Kubernetes clusters (EKS, AKS, or GKE), including troubleshooting complex cluster issues., • Infrastructure as Code: Proficiency with IaC tools such as Terraform, Ansible, or Pulumi., • CI/CD Mastery: proven experience designing and maintaining complex CI/CD pipelines (e.g., Jenkins, GitLab CI, ArgoCD, or GitHub Actions)., • Coding Skills: Strong proficiency in scripting and software development using Python or Go for automation and tooling., • Operational Excellence: Extensive experience in 24/7 production environments, including incident management, on-call rotation, and root cause analysis (RCA)., • Networking & Systems: Solid understanding of Linux system administration and networking fundamentals (DNS, TCP/IP, Load Balancing, VPC peering, and mTLS). What sets you apart? • A proactive "Security-First" mindset, familiar with DevSecOps practices., • Ability to adapt to rapid changes and mentor junior engineers on cloud technologies., • Professional certifications (CKA/CKAD, AWS Solutions Architect, or Azure Administrator)., • Strong analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders. 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 $155,000 – $194,000/year, plus discretionary bonus, which will be based on the employee’s performance and equity. 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 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 Description We are seeking a modeling Engineer to develop high-level models of complex SoC hardware. The virtual platforms combine models of custom hardware accelerators for vision, 2D and 3D graphics, machine learning and more, within a multi-core, multi-level memory hierarchy SoC architecture, and serve as the primary simulation vehicle for system software and firmware. The ideal candidate will be proficient in hardware simulation using C++, and understand the firmware development processes. Responsibilities • Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc…, • Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration., • Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP., • Coordinate virtual platforms with hardware development programs, validating multiple SoCs and architectural changes with system software and firmware engineering, enabling end-to-end silicon validation test frameworks., • B.S. degree in Computer Science or Electrical Engineering or equivalent experience., • 2+ years experience in hardware model simulation, virtual platform, performance modeling of complex SoCs or high-fidelity hardware accelerators., • High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation., • General familiarity with SoC components: embedded processors such as ARM A/M series, Risc-V, DSP, DMA, Cache Hierarchy, DRAM, Network-on-chip, AMBA protocols. Extensive experience in at least one of these areas., • Experience with modern buildframeworks and continuous integration systems, such as CMake, Bazel and CI frameworks such as Jenkins, GitLab CI/CD., • Experience with debugging and profiling tools, such as GDB or other debuggers Preferred qualifications • Experience with the SystemC/TLM library, • Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models, • Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa, • Familiarity with NoC, MMU, address translations, and cache modeling, • Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc…, • Proficiency in Python to automate design flows, creation of collateral data, • Experience with high level C/C++ synthesis (HLS), • Working knowledge of Verilog California Pay Range$70—$75 USD

Job Description Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company—we’re a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. In this role, Senior Systems Test Engineer will be part of a team responsible for the performance validation of Tarana’s wireless products. Our ideal candidate is a hands-on, self-driven engineer with a solid understanding of system-level performance metrics and their connection to user experience, a drive to deliver high-quality hardware and software products, an aptitude for troubleshooting complex systems, and a strong working knowledge of wireless technology from the PHY/MAC layer perspective. What You’ll Do: • Design and develop system test plans for product features, and independently implement automation test scripts in collaboration with systems engineers and software developers., • Define, implement, and tune key performance indicators that reliably catch performance shortfalls while minimizing false alarms. Expose these metrics through dashboards to enable the automated tracking of release progress., • Perform daily performance regression analysis, not limited to features you own, and identify whether the failures are software regressions, hardware/platform dependent, or test fixtures specific. Proactively address all types of issues., • Critically analyze failures and independently narrow down the root cause of issues by analyzing performance figures and logs, which requires a deep understanding of the system and its modules., • Review daily pipelines and assist in identifying and fixing pipeline infrastructure issues. Assess if test fixtures are running at capacity, identify deficiencies in the test scheduling, and contribute to the development and validation of improvements to the overall test machinery., • Support the timely SW and HW product release process, interfacing closely with systems engineers, software engineers, and program managers. What You'll Need: • B.S. degree in Electrical Engineering, M.S. preferred with a focus on wireless communications and signal processing., • 3+ years of experience in wireless device and system verification., • Working experience with OFDM wireless system development and validation, preferably with LTE/5G-NR, IEEE 802.11 a/b/g/n/ac/ax/ad/ay., • Ability to design, develop, and implement automation solutions in Python from scratch (not just modifying existing code), • Ability to learn complex systems quickly and be willing to face new challenges., • Strong triage and analysis skills to diagnose and resolve product issues., • Discipline to execute on daily/high-cadence deliverables in an organized fashion., • Excellent analytical skills and a go-getter attitude, • Experience with TCP/UDP traffic generation tools, traffic testing, and protocol-level debugging, • Working experience with Linux systems, Git, GitLab, and Jira Join Tarana and help shape the future of wireless connectivity. About Us Tarana’s mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next-generation fixed wireless access (ngFWA) technologies. Its unique ngFWA platform delivers game-changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana’s ngFWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at . Powered by JazzHR PL0wEOhUvp

Job DescriptionCompany Description Axiado is an AI-enhanced security processor company redefining the control and management of every digital system. The company was founded in 2017, and currently has 60 employees. At Axiado, developing great technology takes more than talent: it takes amazing people who understand collaboration, respect each other, and go the extra mile to achieve exceptional results. It takes people who have the passion and desire to disrupt the status quo, deliver innovation, and change the world. If you have this type of passion, we invite you to apply for this job. Job Description Axiado is a top-tier manufacturer of TCU (Trusted Control/Compute Unit) solutions. We are hiring a Senior QA Engineer – Performance & Reliability to lead the performance characterization and reliability validation of our Secure TCU System, ensuring it meets rigorous data center standards. In this role, you will own the test design, execution, and deep-dive analysis for performance and reliability, working closely with development teams to identify bottlenecks and resolve complex system-level issues. Key Responsibilities Performance & Reliability Strategy * Test Design & Execution: Design and execute comprehensive test plans for performance benchmarking, stress testing, longevity/endurance testing, and thermal/power characterization of TCU/BMC systems. * Workload Analysis: Analyze system behavior under various heavy workloads to identify performance bottlenecks in throughput, latency, and resource utilization (CPU, Memory, PCIe). * Reliability Validation: Conduct Mean Time Between Failures (MTBF) prediction, long-duration stability tests, and error injection campaigns to validate system robustness. Deep Dive & Issue Resolution * Root Cause Analysis: Lead the deep-dive investigation of performance degradation and reliability failures. Use advanced debugging tools (oscilloscopes, logic analyzers, firmware traces) to isolate issues. * Developer Collaboration: Work directly with firmware and hardware engineers to reproduce complex bugs, analyze crash dumps, and verify fixes. * Infrastructure Enhancement: Develop and maintain automated performance testing frameworks and reporting dashboards to track regression and trends over time. Reporting & Leadership * Reporting: Generate detailed performance assessment reports and reliability analysis metrics for stakeholders. * Mentorship: Mentor junior engineers on performance testing methodologies and system debugging techniques. Qualifications * Experience: 5+ years of experience in embedded system testing, with a strong focus on performance verification and reliability engineering. * System Knowledge: Deep understanding of TCU, BMC, HMC, RoT (Root of Trust), Secure Boot, TPM, HSM, PCIe (Gen4/5), DDR memory, and networking protocols. * Performance Tools: Proficiency with performance profiling tools, traffic generators, and standard benchmarks (e.g., SPEC, IOzone, iperf). Experience with thermal and power measurement tools. * Programming: Strong scripting skills in Python for test automation and data analysis; familiarity with C/C++ for code analysis is a plus. * Operating Systems: Strong Linux/Unix skills, including kernel tuning, system monitoring, and log analysis. * Tools: Experience with CI/CD pipelines (Jenkins, GitLab CI) and version control (Git). * Education: BS/MS degree in Computer Science, Electrical Engineering, or a related field. Ways to Stand Out * Experience with AI-driven log analysis or anomaly detection tools to predict reliability issues. * Background in validation of high-speed interfaces (PCIe, CXL) and memory subsystems (DDR5/LPDDR5). * Experience with data center server architecture and thermal management. * Knowledge of industry reliability standards (e.g., Telcordia, JEDEC). Note: We do not expect candidates to meet every single requirement. A strong core of these skills with a problem-solving mindset is what we value most. Additional Information Additional Information Axiado is committed to attracting, developing, and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley, with access to the world's leading research, technology and talent. We are building an exceptional team to secure every node on the internet. For us, solving real-world problems takes precedence over purely theoretical problems. As a result, we prefer individuals with persistence, intelligence and high curiosity over pedigree alone. Working hard and smart, continuous learning and mutual support are all part of who we are. Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description About the Opportunity This role is ideal for a senior engineer who thrives in hands-on environments and wants to build software that directly impacts real-world flight operations. You will lead the development of safety-critical software used in an experimental aircraft/airship program, working closely with flight test, pilots, and cross-functional engineering teams. What You Will Do! * Lead software requirements capture and finalization in collaboration with flight test engineers, flight operations, and pilots * Own the design and architecture of safety-critical embedded software * Drive hands-on implementation and integration of safety-critical systems * Develop test sets and validation/verification plans for released softwareLead root cause analysis and debugging for issues found in internal and external testing * Support verification and validation activities to ensure reliability and repeatability in flight environments * Define requirements for simulation software supporting testing and development * Maintain simulation design documentation and test reports * Lead software release processes for flight testing and production usage * Own change control activities including merge requests, reviews, and software change requests * Collaborate across software, hardware, test, and operations teamsRequired Qualifications * BS/MS in Computer Science, Computer Engineering, or related field * 5–7+ years of experience in embedded and/or safety-critical software engineering * Strong experience with RTOS and real-time embedded development * Proficiency in C++ and/or C, and ability to work across multiple languages * Experience with Python for scripting, automation, or test tooling * Familiarity with modern source control and CI/CD workflows (GitLab preferred) * Strong knowledge of software validation practices (testing, verification, documentation, traceability) * Excellent communication skills and a structured approach to problem solving Preferred / Nice-to-Have Experience * Exposure to aviation certification standards such as DO-178C (or similar safety-critical standards) * Experience integrating software with hardware interfaces (MCUs, sensors, actuators, communication buses) * Experience with PLC systems and HMI * UI development experience for cockpit, instrument cluster, or equipment interfaces * Familiarity with front-end/back-end architecture concepts (not required) Compliance Employment is contingent on standard background screening and other compliance requirements where applicable.

Job Description This role is part of the Software Infrastructure team, responsible for building and scaling the core development infrastructure that supports the entire software engineering organization. You will work on designing, improving, and maintaining tools and platforms that enable development of ML accelerator systems across both hardware and software environments. In this role, you'll own and enhance infrastructure around GitLab, CI/CD pipelines, containerized workflows (Docker/Podman), and developer productivity tools. You'll collaborate closely with software and hardware teams to ensure reliable, scalable, and efficient development and deployment pipelines. The team is looking for someone with strong hands-on experience in C/C++, Python, Linux-based systems, REST APIs, containers, and modern DevOps practices, with the ability to debug and improve complex CI and build environments. What You BringRequired * Bachelor's degree in Computer Science, Engineering, Math, Physics, or a related field * 7+ years of industry experience in software infrastructure, DevOps, or platform engineering * Strong proficiency in C/C++ and Python * Deep experience with GitLab workflows, including merge requests, merge trains, and CI/CD pipelines * Hands-on experience with Docker and Podman containers * Experience using Kubernetes (K8s) or similar orchestration tools for deploying ML or large-scale workloads * Familiarity with Bazel, code coverage tooling, data source integration, and DevOps metrics * Proven ability to debug CI failures, perform root cause analysis, manage linting, bisect issues, handle remote code coverage, and implement security and vulnerability testing Preferred * Experience working in startups or small, fast-moving teams * Background in AI compute, ML accelerators, or subsystem development * Prior experience in a DevOps-focused role * Exposure to MLOps, including ML model deployment pipelines and development workflows California Pay Range$175,000—$290,000 USD

Job DescriptionLTA Research and Exploration, an aerospace start-up, is seeking a motivated Senior Software Engineer to help build a revolutionary ‘lighter than air’ flight vehicle. You will work within a dynamic engineering and design team to plan, conceptualize, rapidly prototype, test and implement innovative solutions for the design, fabrication, and assembly of large experimental flight vehicles. We believe in fast-cycle development and approach to flight systems development with the motto "build a little, test a little, learn a lot". This unique position allows for hands-on leadership through all phases of development, from concept to flight of an experimental aerospace vehicle. We are seeking a high energy, passionate Senior Software Engineer to help further the development of software for safety critical systems as well as actively test and validate rapidly developed software on the Airship.Responsibilities and Duties • Lead Capturing and Finalizing Software Requirements in collaboration with flight test engineers, flight operations, pilots, and other cross functional stake holders, • Create and maintain Design and Architecture of Safety Critical Software for aircraft/airship., • Lead and hands-on with Safety Critical Software Implementation and integration activities., • Develop comprehensive test sets for validation and verification of released software., • Lead root cause analysis of issues stemming from internal and external test activities., • Lead software development in conjunction with other systems to Verify & Validate repeatability and reliability on the Airship meeting quality and timing requirements., • Develop and establish requirements for associated Simulation software., • Create and maintain Simulation software design documentation and test reports., • Lead various levels of Software Releases for various testing and final usage Airship., • Lead Software Change Request, Merge Request, Software Review, etc. activities, • Lead and Mentor Software Engineering team members and related development activities., • Collaborate with various cross functional teams., • Lead and/or Support training activities.Qualifications and Skills, • BS/MS in Computer Science, Computer Engineering or related field., • 7/5 years of experience in a similar Senior Software Engineer role and responsibilities., • Proficient in Real Time Operating System and Embedded Systems based development., • Proficient in C#, C++, RTOS, Python, and Scripting., • Proficient with GitLab based CI-CD software build toolchain and release., • Proficient in common software validation practices and standards., • Detail oriented and well organized with excellent communication skills., • Self-Starter as well as a Team player, with a can-do attitude and a desire to learn.Desired Additional Skills, • Experience with aviation standards such as DO-178C or equivalent industry standards., • Experience working with EE hardware interfaces such as MCU, Communication, Sensors, Actuators, etc., • Experience working with C and/or embedded C., • Experience working with PLC systems and HMI., • Experience in development of UI for cockpit, instrument cluster, equipment., • Basic front-end and back-end software architecture-based development.What We Offer!, • Relocation assistance, • Excellent medical, dental, and vision insurance through a PPO plan (100% premium paid for individuals, ~70% for dependents), • Company-paid life, AD&D, long-term disability, and short-term disability insurances, • Parental leave, • Generous PTO + 10 paid holidays, • 401(k) matching up to 6%, • Lunch and snacks provided every day, including accommodations for all dietary restrictions, • Monthly wellness stipend, • Monthly cell phone stipend, • Yearly education stipend to obtain certifications or take classes in your field, • Fun events, swag, and the occasional airship ride, • An opportunity to change the world and work with some of the smartest and the most talented experts from different fieldsCompliance Requirements, • Criminal background check clearance, • Drug test clearance wherever applicable The base salary range for this role is $160,000 to $185,000, which is determined based on experience, geography, and qualifications. The base salary is one component of the total compensation package, which includes a very competitive annual bonus, 401K Match, and other generous benefits. While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. SMS Text Messaging (10DLC Compliance)LTA RESEARCH may communicate with applicants and users via SMS (text messaging) for purposes related to job applications, interview scheduling, and other recruitment updates. By providing your phone number through our application or contact forms, you consent to receive such communications.We do not use SMS for marketing purposes, and we will never sell, rent, or share your phone number with third parties for their promotional use.Message Frequency & Opt-Out:Message frequency may vary depending on your application status. Standard message and data rates may apply. You can opt out at any time by replying STOP to any message. For assistance, reply HELP.Consent & Privacy:Your consent to receive SMS messages is not a condition of employment. All data collected through text messaging is handled accordance with our Privacy Policy and applicable data protection laws, ensuring your personal information is kept secure and confidential. LTA Research & Exploration welcomes all candidates to apply including those with limited experience. We understand that candidates with a growth mindset and passion for working on the next chapter in aviation advancement can outweigh experience alone. We celebrate diverse origins and journeys and understand their importance in developing new technology. Rooted in our humanitarian mission, we want to serve the entire globe and have a team that represents those we wish to serve. Lighter Than Air is an equal opportunity employer. All applicants are considered without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status or any other discriminatory factors prohibited by law. 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.