Infrastructure Engineer Remote Jobs in Ohio (US)
This page tracks remote infrastructure engineer openings that are location-eligible for Ohio.
This page tracks remote infrastructure engineer openings that are location-eligible for Ohio.
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584
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$100 - $221,600
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584 Jobs
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Strategic open source infrastructure for containers and virtual machines.
• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents • Act as a senior escalation point for operational teams during critical service-impacting events • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments • Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues • Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks • Lead root cause analysis activities and drive long-term corrective actions • Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges • Participate in major incident management and service restoration activities • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services • Drive improvements in platform reliability, observability, monitoring, and operational processes • Identify opportunities to automate repetitive operational activities and improve operational efficiency • Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions • Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI • Mentor and support AI Infrastructure & Platform Operations Engineers.
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. BILL builds high performing teams and we seek to hire the best talent for every role.
Role Description Join BILL as Director of Developer Experience and Infrastructure Platform and lead the engineering organization that sets the foundation for how hundreds of services are built, deployed, and operated across the company. This team is the connective tissue of BILL's engineering culture, owning the developer tooling that engineers rely on from their first line of code through production, the platform automation that keeps pace with a growing codebase, and the service platform infrastructure that makes reliability possible at scale. BILL's platform is used every day by hundreds of thousands of small and midsize businesses managing cash flow, accounts payable, and financial operations. Your team will be responsible for keeping BILL's platform fast, reliable, secure, and exceptionally easy to build on. In this role, you will: - Set the technical direction for developer tooling and service platform. - Drive the organizational change management needed to standardize how teams build and ship. - Lead an AI-native developer experience strategy that accelerates the software development lifecycle (SDLC) across the company. - Operate across the full engineering organization as both a technical authority and an influential leader. Responsibilities - Own the strategy and roadmap for BILL's AI-augmented developer platform across two core pillars: developer tooling and service platform. - Drive company-wide change management to standardize how engineering teams build and ship. - Lead, grow, and develop a team of engineers and engineering managers. - Scale the developer experience by architecting the infrastructure required to embed coding assistants into daily workflows. - Optimize the engineering "inner loop" by owning the strategy, tooling, and runtime configurations for local developer environments. - Operate as a senior technical leader and cross-functional partner. - Define and track the metrics that matter: developer experience satisfaction, deployment frequency, system reliability, etc. - Represent the developer platform org in executive-level conversations. Qualifications - 12+ years of experience in software engineering or infrastructure. - At least 5 years leading platform, DevX, or infrastructure teams at a Director level or equivalent scope. - Proven track record of implementing, scaling, and measuring AI-assisted development tools. - Demonstrated ability to lead organizational change at scale. - Extensive technical depth and architectural leadership in modern DevOps practices. - Deep technical and strategic mastery of modern coding assistant technologies. - Strong executive communication skills. - Experience operating in a complex, multi-team engineering environment. Desired Qualifications - Experience building internal custom AI tooling. - Background in fintech, payments, or other regulated, high-availability environments. Requirements - Extensive experience with Kubernetes (k8s), ArgoCD, and GitLab CI/CD platforms. - Credibility to engage with principal engineers on pipeline optimization and deployment strategies. Benefits - 100% paid employee health, dental, and vision plans. - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.
Role Description Triple Point Security is seeking a Continuity of Operations (COOP) and Contingency Planning Specialist to support continuity, contingency, and business impact analysis activities across our federal client engagements, with a primary focus on a large NIH cybersecurity program. Working within a team of cybersecurity and Governance, Risk, and Compliance (GRC) professionals, the specialist will: - Develop, maintain, and test Business Impact Analyses (BIAs), contingency plans, and COOP documentation in accordance with NIST SP 800-34. - Support recovery planning for mission-critical federal systems. - Work within an integrated Risk Management Framework (RMF) team. Qualifications - Bachelor's degree in Cybersecurity, Information Systems, Information Technology, Emergency Management, Computer Science, or a related field, or an equivalent combination of education and experience. - 4 to 7 years of experience in continuity of operations, contingency planning, business impact analysis, information security, or risk management. - Demonstrated experience developing and maintaining Business Impact Analyses (BIAs), including system criticality tiering and recovery metrics such as Recovery Time Objective (RTO), Recovery Point Objective (RPO), and Maximum Tolerable Downtime (MTD). - Experience developing, maintaining, and testing Contingency Plans and COOP artifacts in accordance with NIST SP 800-34. - Experience planning and facilitating contingency plan tests and tabletop exercises, and documenting results and after-action corrective actions. - Working knowledge of the Authorization to Operate (ATO) process and the Risk Management Framework (RMF). - Strong understanding of NIST SP 800-53 (particularly CP controls), FISMA, and federal information security and continuity requirements. - Ability to interpret system criticality and recovery requirements and to communicate gaps, risks, and recommendations to both technical and non-technical stakeholders. - Experience collaborating with system owners, ISSOs, security teams, and program stakeholders to develop and validate continuity documentation. - Strong written and verbal communication skills, including the ability to produce clear, audit-ready documentation. - Must be a U.S. citizen and able to obtain and maintain a federal Public Trust or suitability determination. Requirements - Continuity-specific certification such as FEMA Professional Continuity Practitioner (PCP), DRI Certified Business Continuity Professional (CBCP) or Associate (ABCP), or similar. - Familiarity with federal continuity guidance, including Federal Continuity Directive 1 (FCD-1) and NIST SP 800-34. - Experience supporting federal ATO packages and validating supporting artifacts such as contingency plans, BIAs, policies, procedures, and system inventories. - Understanding of cloud continuity and disaster recovery considerations in AWS, Azure, or GCP. - Experience with governance, risk, and compliance tools or authorization repositories used to manage security and continuity artifacts. - Experience working within or supporting federal agencies, federally funded programs, or federal health environments (for example, HHS or NIH). - Relevant certifications such as CISSP, CISM, CGRC, or Security+. Clearance and Certifications - Active federal Public Trust preferred. - Must be a U.S. citizen and able to obtain and maintain a federal Public Trust or suitability determination. (This role does not require a security clearance.) - CompTIA Security+ or equivalent baseline certification: Preferred. - Continuity certification (FEMA PCP, DRI CBCP or ABCP, or similar): Preferred. - CGRC or CISSP: A plus for candidates at the upper end of the experience range. Responsibilities - Develop, maintain, and test Business Impact Analyses (BIAs), contingency plans, and COOP documentation for federal systems in accordance with NIST SP 800-34. - Define and apply consistent BIA metrics, including criticality tiers, RTO, RPO, and MTD. - Plan, facilitate, and document contingency plan tests, tabletop exercises, and training. - Support recovery planning for mission-critical systems and align continuity activities with federal, agency, and NIST requirements. - Support ATO and continuous monitoring activities as they relate to contingency planning. - Collaborate with system owners, ISSOs, program staff, and project managers to implement continuity and contingency requirements. - Provide program and operational support, including status reporting and stakeholder coordination. - Communicate continuity and recovery information effectively to technical, operational, and leadership audiences. Skills The ideal candidate is detail-oriented and organized, comfortable moving between continuity and contingency planning, compliance support, and client-facing deliverable production. They bring a strong foundational understanding of federal continuity and security frameworks and are motivated to deepen their expertise across Triple Point's service areas.
• Responsible for the design, build, and support of corporate networks, servers, storage, telephony, and systems • Implement observable, secure, and fault-tolerant solutions • Provide technical leadership, support, and direction across multiple teams and domains • Serve as an internal escalation point for day-to-day operations • Plan and execute projects across the infrastructure landscape • Lead and participate in infrastructure and systems and application projects • Device lifecycle support – Vulnerability remediation, firmware upgrades, decommission • Mentor less senior staff • Vendor management and interaction for hardware, software, and service troubleshooting and resolution • Help define and execute the strategy for infrastructure and systems across the enterprise • Support global operations for remote, manufacturing, and iRhythm Office-based workforces
Since 1985, Qualcomm has been an innovator in the wireless telecommunications industry with more than 13,000 patents in the United States. Today, Qualcomm provi
Role Description The Principal Engineer, Verification (CI/CD & Embedded HW) is a senior individual contributor responsible for designing, scaling, and hardening CI/CD infrastructure and verification systems that validate Qualcomm’s AI Software stack—including QNN HTP, QAIRT, toolchains, kernels, and embedded runtime components. This role is deeply technical and hands-on: - Build large-scale automated pipelines - Integrate embedded hardware (DSP, NPU) test execution - Drive target-based regression infrastructure - Ensure efficient, reliable, and high-signal validation at scale REMOTE based is possible for this role. Key Responsibilities (IC-Focused) - CI/CD Infrastructure Architecture & Scaling - Architect and scale large-distributed CI/CD systems with high throughput and low flakiness - Design automated workflows: build, package, deploy, flash, run, log-collection, triage, dashboarding - Develop scheduling/orchestration layers for thousands of HW-based regression tests - Implement monitoring, telemetry, and automated mitigation for CI stability - Embedded Hardware Validation & Automation - Develop embedded target test frameworks across DSP/NPU - Automate flashing, provisioning, power/reset, and new chipset bring-up - Design hardware-in-loop validation for stability, thermal, long-run correctness, and performance - Test Strategy, Coverage Expansion & Signal Improvement - Own coverage strategy for throughput, correctness, memory behavior, and runtime scheduling - Develop automated triage signals and failure classification systems - Eliminate flakiness and nondeterminism in HW test environments - Open-Source & Internal Pipeline Ownership - Maintain CI/verification pipelines for internal and open-source projects - Enforce PR gating, reproducible builds, artifact management, and API correctness - Cross-Functional Influence - Influence DevOps, firmware, and platform teams using data-driven insights - Lead technical deep-dives on CI and embedded HW failures - Align infrastructure capabilities with program milestones and customer requirements - Documentation & Process Engineering - Produce high-quality documentation for CI architecture, HW frameworks, and best practices - Drive continuous improvement and streamline reproducible HW testing workflows Qualifications - 10+ years in CI/CD engineering, verification, embedded systems, or runtime/toolchain development - Expertise designing/scaling CI/CD (Buildkite, Jenkins, GitLab CI, GitHub Actions) - Deep experience integrating embedded hardware into automated pipelines - Background in firmware flashing, device provisioning, power/reset automation, and board-farm debugging - Strong scripting/programming in Python, Bash, C/C++ - Experience maintaining open-source verification pipelines - Strong debugging across runtime/driver/inference layers - Ability to influence cross-functional engineering teams Preferred Qualifications - Familiarity with Qualcomm AI stack (QNN, QAIRT, SNPE) - Experience with heterogeneous compute validation (DSP/GPU/CPU/NPU) - Background in silicon bring-up or hardware-in-loop systems - Experience with large device-farm operation and automation Success Indicators - Highly stable, scalable CI/CD pipelines with reduced failures/flakiness - Faster regression turnaround and increased throughput - Strong embedded target coverage with reproducible signals - Positive feedback from global engineering teams Minimum Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience - OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience - OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience Pay range and Other Compensation & Benefits $221,600.00 - $332,400.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
• Evolving the AI knowledge platform - taking the retrieval, indexing, and synthesis layer (currently semantic RAG + re-ranking + HyDE) to an organization-wide platform serving both internal engineering tools and customer-facing capabilities. • Architecting and operating agentic infrastructure on AWS - multi-step, tool-using AI systems that plan, retrieve, and act on complex queries and operational events, with cost guardrails and observability built in from day one. • Designing and building graph-based, relationship-aware retrieval across the organization's data sources, enabling multi-hop queries and letting agents accumulate organizational knowledge over time. This is on our roadmap, not in production - you will define the approach. • Partnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions. • Building reference agent implementations on the platform - operational-incident triage, customer support, and future agentic use cases - grounding each agent's reasoning in institutional knowledge. • Owning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.
Technology Outfitter for Community Banks. Empowering community banks and our people to thrive - together.
• Design and own the Infrastructure-as-Code baseline that enables dedicated single-tenant or on-premises deployment with minimal per-customer effort • Stand up and operate Docker and Kubernetes (and K3s for small or in-bank installs), ingress, load balancing, and the CI/CD pipeline • Build and maintain the secrets and certificate story and the observability stack • Define environment promotion, release automation, and rollback procedures — making deployments boring and repeatable • Partner with Security on encryption, network isolation, and exam-ready hardening aligned to regulatory guidance • Right-size and operate GPU and inference infrastructure as the AI workload grows • Establish on-call, SLOs, and capacity planning practices ahead of beta scale-up • Document deployment architecture and operating procedures to support customer due diligence and audit readiness
• Build, automate, and operate scalable cloud infrastructure (AWS, GCP, Azure) • Design and maintain CI/CD pipelines • Develop and enhance a self-service platform for data scientists and engineers • Embed security, data governance, quality, and compliance by design • Evaluate and integrate new tools and services • Collaborate with leadership and cross-functional teams to translate requirements into capabilities • Mentor engineers while driving technical standards and continuous learning.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an ML Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on: - GPU clusters - Distributed training frameworks - Scheduling - Storage performance - Developer experience for ML engineers and researchers The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of experience in infrastructure, platform, or HPC engineering. - Hands-on experience operating GPU clusters or large-scale ML training infrastructure. - Strong proficiency in Python and at least one systems language such as Go or C++. - Deep understanding of distributed training, accelerator architectures, and collective communication. - Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. - Strong understanding of Linux internals, networking, and high-performance storage. - Experience with at least one major cloud provider’s ML infrastructure offerings. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Requirements - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. - Partner with research and applied ML teams to plan capacity for upcoming training runs. - Implement security controls, isolation, and access management for multi-tenant AI infrastructure. - Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. - Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. - Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Benefits - 100% remote, full-time, direct W2 position with Bright Vision Technologies. - Support for H1B transfers for qualified candidates. - Tremendous career growth potential.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an Infrastructure Automation Engineer who blends strong Python development skills with deep networking domain expertise to automate network configuration, change management, and observability across multi-vendor enterprise networks. The role focuses on building production-grade automation using modern network APIs, infrastructure-as-code, and CI/CD practices that bring software engineering discipline to network operations. The ideal candidate writes idiomatic Python, has shipped network automation in production, and combines networking depth with practical software-engineering rigor. In this role, you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Design and develop network automation solutions in Python using Netmiko, Nornir, NAPALM, and Scrapli. - Build automation pipelines for configuration management, deployment, and validation across multi-vendor environments. - Develop integrations with network APIs including NETCONF, RESTCONF, gNMI, and vendor-specific APIs. - Implement source-of-truth platforms such as NetBox or Nautobot and drive automation from authoritative data. - Build infrastructure-as-code for network configuration using Ansible, Terraform, and Jinja2 templating. - Implement network testing and validation using pyATS, Genie, Batfish, and Suzieq. - Develop CI/CD pipelines for network changes including pre-deployment validation and rollback. - Build observability and telemetry pipelines using gNMI, streaming telemetry, and modern analytics platforms. - Implement intent-based networking patterns and self-healing network workflows that let the network express desired state declaratively and converge toward it automatically when drift or failures occur. - Automate compliance and audit workflows across the network estate, generating evidence on demand and continuously verifying that network configuration matches the policies the organization has committed to. - Partner with network engineering teams to identify and automate high-impact manual workflows. - Develop reusable libraries, frameworks, and abstractions adopted across multiple automation efforts. - Mentor network engineers on Python development, software engineering practices, and modern automation patterns. - Stay current with network automation tooling, vendor API evolution, and broader industry developments. Qualifications - Bachelor’s degree in Computer Science, Networking, or a related field. - Five or more years of network automation experience. - Strong Python development skills including OOP, testing, and packaging. - Deep networking fundamentals including routing, switching, and BGP. - Hands-on experience with Netmiko, NAPALM, Nornir, or Scrapli. - Experience with modern network APIs (NETCONF, RESTCONF, gNMI). - Strong experience with Ansible and Jinja2 templating for network automation. - Familiarity with NetBox, Nautobot, or other source-of-truth platforms. - Strong Git-based workflows and CI/CD experience. - Excellent communication and collaboration skills. Preferred Qualifications - Cisco DevNet or vendor automation certifications. - Experience with multi-vendor networks (Cisco, Arista, Juniper). - Familiarity with streaming telemetry and modern observability stacks. - Open-source contributions to network automation projects. - Experience with cloud networking automation in addition to on-premises. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .
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Kubernetes, Python, Cloud, Linux, AWS, Azure