A customer-facing engineering role that deploys and supports software in compact, resource-constrained environments, including air-gapped and on-prem systems.
Locations (2)
United States
Palo Alto, California, United States
Compensation
Base salary: $135,000 to $200,000 annually.
Responsibilities
Work in small teams with minimal supervision to deliver high-stakes customer projects end to end
Partner with technical and non-technical customer personnel to discuss architecture and deployment needs.
Deploy containerized applications to tactical edge environments, including air-gapped systems and on-prem devices.
Support operations by troubleshooting network and system issues, reviewing monitoring and alerts, managing configuration and load balancing, orchestrating containers, and conducting upgrades.
Resolve technical issues for deployed customers while minimizing disruption to operations.
Site Reliability Engineer responsible for designing, deploying, and operating global network infrastructure for Oracle Cloud Infrastructure, improving reliability, automation, and observability.
Compensation
US: Hiring Range in USD from: $69,800 to $148,300 per annum. May be eligible for bonus and equity.
Responsibilities
Design, deploy, and operate highly available global network infrastructure
Define and monitor service-level indicators and objectives (SLIs/SLOs)
Develop automation and tooling for provisioning, configuration management, validation, upgrades, and recovery
Build monitoring, telemetry, and actionable alerting
Participate in on-call rotations, lead incident response
Provides subject matter expertise and consulting services on a range of technologies and assists Technical Analysts and Infrastructure Engineers to ensure that technology solutions comply with enterprise system design and engineering standards
Assists with translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
Assists in the evaluation of reference models, blueprints and playbooks to ensure they are fit for purpose
Develop software solutions to address manual and repeatable work or inefficient processes
Conducts on-site evaluations of third-party products being considered for firm adoption
Requirements
Bachelor's degree
Nice to have: Kubernetes certifications such as CKA or CKAD
Nice to have: Vulnerability Management
Nice to have: Non-Permitted Technology Remediations
Own and build the regression infrastructure for manufacturing software releases, automating detection and repair of hardware and software failures across labs and manufacturing sites.
Locations (2)
Austin, Texas, United States
Cupertino, California, United States
Compensation
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
Responsibilities
Own the regression infrastructure in our lab and at manufacturing sites, and extend it to every site
Build software (Python, Go, TypeScript, Java or C++) that configures, monitors and maintains the servers, firmware and network devices regression depends on
Automate repair: detect failures, recover systems through software, escalating only when hands‑on work is needed
Keep software and firmware versions consistent across lab, manufacturing and fleet environments
Feed infrastructure health into release pipelines so releases reflect real hardware state
Senior Systems HPC Engineer focused on building a hyperscaler platform, analyzing, and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.
Locations (2)
Amsterdam, North Holland, Netherlands
Europe
Responsibilities
Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
Support complex performance-related escalations from internal teams and customers
Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
Requirements
Nice to have: InfiniBand
Deep Tech Networking Engineer, DPDK / Linux - Paris - H/F
Lead the development of high-scale ingestion and data processing systems on Twilio’s Segment Data platform, designing, operating and maintaining complex distributed systems.
Responsibilities
Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team
Ship features that opt for high availability and throughput with eventual consistency
Collaborate with engineering and product leads, as well as teams across Twilio Segment
Support the reliability and security of the platform
Build and optimize globally available and highly scalable distributed systems
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Nice to have: domain expertise in the Modern Data stack
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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