Infrastructure Engineer Remote Jobs in Texas (US)
This page tracks remote infrastructure engineer openings that are location-eligible for Texas.
This page tracks remote infrastructure engineer openings that are location-eligible for Texas.
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Voltage Park is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. If you require an accommodation during the job application process, please notify your recruiter.
Role Description Voltage Park is seeking an Infrastructure Engineer with a focus on Observability to join our Infrastructure Engineering team. Our engineers design and operate the systems that manage thousands of bare-metal servers, GPUs, and high-performance networks across multiple data centers. This role combines the breadth of a core infrastructure engineer with a specialty in observability and telemetry. You’ll design and operate metrics, logs, traces, and alerting pipelines that provide actionable insights for both internal teams and external customers — helping to ensure reliability and transparency at scale. This is a fully remote position, although candidates must be based in the continental United States. Unfortunately, we are unable to provide sponsorship for this role. Responsibilities - Design, build, and maintain observability platforms spanning metrics, logs, traces, and events. - Create dashboards and alerting for internal stakeholders (InfraOps, Engineering, Customer Success) and scoped visibility for external customers. - Ingest and correlate telemetry from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish. - Implement noise-resistant alerting pipelines that improve detection and reduce operational load. - Collaborate with infrastructure, platform, and customer-facing teams to embed observability into workflows. - Contribute to broader infrastructure engineering projects beyond observability. Qualifications - 8+ years in infrastructure engineering, SRE, or observability roles. - Strong experience with monitoring systems (Prometheus, Grafana, ELK, VictoriaMetrics, or similar). - Proficiency in Python, Go, or bash for automation and data integration. - Familiarity with container/Kubernetes observability. - Understanding of streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent). - Strong written and verbal communication skills. Ideal Experiences - Experience with GPU observability, particularly NVIDIA DCGM. - Designing multi-tenant observability solutions with RBAC and scoped queries. - Prior work with correlation engines for RCA, forecasting, or predictive alerting. - Broader exposure to infrastructure domains (networking, storage, provisioning). Culture - You enjoy working with a small, highly motivated team. - You’re comfortable balancing autonomy with company-wide priorities. - You value clarity, documentation, and actionable insights in observability systems. - You’re excited to specialize in observability while contributing as a core infrastructure engineer. Company Description Voltage Park is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. If you require an accommodation during the job application process, please notify your recruiter.
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 Storage Engineer with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Key Responsibilities - Design and operate enterprise storage platforms across NetApp ONTAP, Pure Storage FlashArray/FlashBlade, and Ceph. - Implement and manage SAN, NAS, and object storage across data center and cloud environments. - Build storage solutions for VMware, Kubernetes (CSI drivers), and database workloads. - Design and operate replication, snapshot, and backup strategies for critical data assets. - Implement and operate cloud-tiered storage with FabricPool, CloudVolumes, or equivalent. - Build storage automation using Ansible, Terraform, REST APIs, and platform-native automation. - Operate Ceph clusters including OSD lifecycle, CRUSH maps, RGW, RBD, and CephFS. - Design and operate storage performance management for high-throughput and latency-sensitive workloads. - Implement data protection strategies including ransomware protection and immutable snapshots. - Build storage observability across capacity, performance, and health dimensions. - Lead storage upgrades, firmware lifecycle management, and security patching across the storage estate. - Drive storage cost optimization including deduplication, compression, and tiering strategies. - Troubleshoot complex storage issues spanning array, network, and host layers. - Stay current with storage industry developments and emerging platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of enterprise storage engineering experience. - Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. - Hands-on experience with Ceph at production scale. - Strong understanding of SAN, NAS, and object storage protocols. - Experience with storage integration for VMware and Kubernetes (CSI). - Strong scripting and automation skills using Ansible, Terraform, or REST APIs. - Strong understanding of storage performance, capacity planning, and cost optimization. - Strong troubleshooting skills across storage, network, and host layers. - Excellent communication and collaboration skills. Preferred Qualifications - Vendor certifications (NCDA, NCIE, Pure Storage certifications). - Experience with hybrid-cloud storage replication. - Familiarity with software-defined storage platforms beyond Ceph. - Experience with object storage at petabyte scale. - Exposure to AI/ML workloads with extreme I/O requirements. 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 .
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.
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 a skilled Azure Infrastructure Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including: - Architecture - Infrastructure-as-code - Automation - Security hardening - Cost optimization - Observability - Ongoing operational excellence for production workloads The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments. - Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings. - Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. - Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale. - Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications. - Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code. - Deep understanding of cloud security principles, identity management, and compliance frameworks. - Experience implementing monitoring, alerting, and observability strategies across distributed workloads. - Strong troubleshooting, communication, and documentation skills. Requirements - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services, with explicit attention to scalability, security, and total cost of ownership. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups. - Implement secure identity, access management, and governance controls using Azure Active Directory. - Architect and operate Azure Kubernetes Service (AKS) clusters. - Deploy, scale, and tune Azure data and analytics platforms. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions. - Design and implement robust observability practices using Azure Monitor and other tools. - Drive Azure cost optimization initiatives. - Implement disaster-recovery and business-continuity strategies. - Strengthen security posture by integrating Microsoft Defender for Cloud and other security tools. - Collaborate closely with application teams to architect cloud-native solutions. - Develop automation scripts and tooling in PowerShell, Bash, and Python. - Mentor junior engineers and lead architecture reviews. Benefits - 100% Remote (U.S.) - Full-time, Direct W2 - Salary Range: $100,000–$150,000 Annually Company Description Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
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
Travoom is the marketplace for bucket list travel experiences.
• Design and build scalable short-form video infrastructure • Architect video ingestion and transcoding pipelines • Optimize playback performance across mobile and web • Design scalable media delivery systems • Build APIs supporting high-volume video engagement • Help architect recommendation and engagement systems • Work on low-latency media infrastructure • Collaborate with frontend, mobile, AI, and platform engineers • Help optimize infrastructure for global fan engagement at scale
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.
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Observability/Monitoring, Python, Kubernetes, Azure, Shell, Terraform