Software Engineer, Infrastructure Opal SecuritySoftware Engineer, InfrastructureSan Francisco, CaliforniaYou'll talk directly to security and eng teams at Fortune 500s and startups alike, understand their messy reality, and architect systems that actually solve their problems. At Opal, we’re building modern identity governance for the AI era—intelligent access management that empowers enterprises to move fast while staying secure.
NewLead Infrastructure Engineer Onos HealthLead Infrastructure EngineerSan Francisco, CaliforniaWe build heavily with AI coding agents, so much of your leverage will come from specifying work well and directing agents rather than typing every line yourself; prior tech lead or engineering management experience translates directly. Prior experience leading engineering teams as a tech lead or engineering manager — you can break down ambiguous goals, delegate (to humans or AI agents), and communicate crisply with non-technical stakeholders.
Deployed Infrastructure Engineer Sierra AIDeployed Infrastructure EngineerSan Francisco, CAAs a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra's AI platform is deployed and operated across enterprise environments. Own deployment architecture conversations and execution - designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
Software Engineer, Infrastructure Sierra AISoftware Engineer, InfrastructureSan Francisco, CAAs a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones.
Infrastructure & Capital Projects - Business Development Manager, ANS Accenture Infrastructure and Capital ProjectsInfrastructure & Capital Projects - Business Development Manager, ANSSan Francisco, CaliforniaYou'll prepare Pursuit Capture Plans that include key dates, contacts, client Project Managers, win themes, and differentiators and create client presentations and leave-behind materials and set up and attend introductory meetings with clients and teaming partners related to potential opportunities and set up, coordinate, and attend kickoff and ongoing pursuit meetings with teaming partners once a pursuit has been green-lighted. THE WORK: You’ll support strategic business development, client engagement, and major pursuit efforts throughout Northern California, Washington, Oregon, Alaska and Hawaii and work closely with regional leadership to identify, position, and pursue major public agency opportunities across surface transportation, municipal infrastructure, ports, K-12, community college, higher education, buildings, and other capital improvement sectors.
Senior Software Engineer - Platform & Data Infrastructure ID.meSenior Software Engineer - Platform & Data InfrastructureMountain View, CA$190,978–$214,052 / yearEnforce Zero-Trust Security & Secrets Management: Integrate enterprise secret management tools (HashiCorp Vault, External Secrets Operator, Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls. Working closely with Platform, Security, SRE, and Product Engineering teams, you will turn complex infrastructure into self-service developer capabilities, enforce security guardrails, and ensure high availability across critical production services.
Senior Software Engineer – Platform & Data Infrastructure ID.meSenior Software Engineer – Platform & Data InfrastructureMountain View, CA$190,978–$214,052 / yearEnforce Zero-Trust Security & Secrets Management: Integrate enterprise secret management tools (HashiCorp Vault, External Secrets Operator, Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls. Working closely with Platform, Security, SRE, and Product Engineering teams, you will turn complex infrastructure into self-service developer capabilities, enforce security guardrails, and ensure high availability across critical production services.
Software Engineer, Payments Infrastructure SierraSoftware Engineer, Payments InfrastructureSan Francisco, CaliforniaDesign the secure-capture protocol every channel sits behind, so the payment feels like one continuous conversation to the person on the other end, while telephony providers, contact-center platforms, embedded chat, and Sierra's own voice stack all present a single event lifecycle to agent code, no matter how different each customer's stack is. Make payments something other engineers can use without becoming compliance experts: drive the platform toward processor-agnostic charging, self-serve onboarding, and single-tenant deployments, so a team can add payments to an agent without a payments infrastructure engineer in the loop.
Staff Software Engineer (Infrastructure ) AmplitudeStaff Software Engineer (Infrastructure )San Francisco, CAWashington salary range: $198,000 - $299,000 total target cash (inclusive of bonus or commission)Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. New York City salary range: $220,000 - $331,000 total target cash (inclusive of bonus or commission)Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California.
Senior Software Engineer (Infrastructure ) AmplitudeSenior Software Engineer (Infrastructure )San Francisco, CAWashington salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. New York City salary range: $183,000 - $276,000 total target cash (inclusive of bonus or commission)Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California.
Staff Technical Program Manager, AI Infrastructure GMStaff Technical Program Manager, AI InfrastructureSunnyvale, CaliforniaIn this role, you will own strategy and execution for large-scale ML infrastructure – including training pipelines, model lifecycle management, compute orchestration, and platform reliability – that power next-generation autonomy models. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Engineering Manager - Civil Transportation Infrastructure BKF EngineersEngineering Manager - Civil Transportation InfrastructurePleasanton, CAIn the event a recruiter or agency submits a resume or candidate without a previously signed agreement and a specific solicitation for the position or other approved engagement request for the position with BKF Engineers, BKF Engineers reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Lead technical design efforts for transportation projects including complete streets, multimodal corridors, bike/pedestrian facilities, transit centers, wildlife crossings, retaining walls, and highway improvements.
Member of Technical Staff (Software Engineer, Cloud Infrastructure) PerplexityMember of Technical Staff (Software Engineer, Cloud Infrastructure)San Francisco, CaliforniaDesign and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
Staff Software Engineer, Data Infrastructure PeregrineStaff Software Engineer, Data InfrastructureSan Francisco, CA$200,000–$275,000 / yearBacked by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society's challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence - instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint.
Senior Software Engineer, Infrastructure Hayden AI Technologies, Inc.Senior Software Engineer, InfrastructureSan Francisco, CAThe Infrastructure Engineering team is crucial to the overall success of Hayden products: We own all the underlying fabric that connects thousands of devices deployed in the field with large-scale, multi-region cloud services and applications that interact with the data we collect from those devices. Responsibilities: Architect the Service Backbone: Lead the design and evolution of the core services architecture, providing a robust, high-availability backbone utilized by all cloud services and engineering teams.
Senior Software Engineer, Infrastructure Hayden AISenior Software Engineer, InfrastructureSan Francisco, CaliforniaThe Infrastructure Engineering team is crucial to the overall success of Hayden products: We own all the underlying fabric that connects thousands of devices deployed in the field with large-scale, multi-region cloud services and applications that interact with the data we collect from those devices. Architect the Service Backbone: Lead the design and evolution of the core services architecture, providing a robust, high-availability backbone utilized by all cloud services and engineering teams.
Research Member of Technical Staff- Data Infrastructure Rhoda AIResearch Member of Technical Staff- Data InfrastructureMountain View, CaliforniaOur robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We're looking for Data Infrastructure MLEs to scale the systems that power our model training data pipeline, from raw ingestion and storage to indexing, retrieval, and throughput optimization at massive scale.
ML Infrastructure Engineer zaimlerML Infrastructure EngineerSan Mateozaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale.
Member of Technical Staff — Cluster Infrastructure & Supercomputing RadixArkMember of Technical Staff — Cluster Infrastructure & SupercomputingPalo Alto, CaliforniaOur team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs. You will design and operate highly reliable, high-performance GPU/TPU clusters, build next-generation scheduling and resource management systems, and push the limits of large-scale distributed infrastructure for AI workloads.
Staff Software Engineer, ML Infrastructure VoxelStaff Software Engineer, ML InfrastructureSan Francisco, CaliforniaOwn the train-to-deploy handoff: export trained models to optimized inference formats (TensorRT, ONNX), quantify accuracy and latency impact, and partner with Platform on production deployment. Architect and build the training infrastructure that lets the applied ML team run multiple experiments concurrently and iterate quickly on new architectures (PyTorch, AWS).