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NOV

System Engineer – Solution Integrations

NOV

Systems Engineer ensuring integrations are validated before customer delivery for industrial data services. Collaborating with vendors, customers, and internal teams in hybrid work environment.

Posted 7/2/2026full-timeHouston • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudCyber SecurityDistributed SystemsLinuxTCP/IP

About the role

Key responsibilities & impact
  • Own technical readiness across DaaS and partner application integrations.
  • Define repeatable architecture patterns for industrial data services across edge systems, control system data, cloud services, partner platforms, customer endpoints, and platform services.
  • Create reference architectures, integration diagrams, data flow views, deployment patterns, validation plans, and technical readiness checklists.
  • Define the technical baseline for secure data acquisition, buffering, monitoring, cloud processing, customer delivery, and steady state support.
  • Identify integration gaps, network constraints, cybersecurity requirements, vendor dependencies, and operational risks before PoCs or pilots begin.
  • Create reusable cybersecurity and OT evidence packages for customer IT and OT reviews.
  • Maintain standard topology diagrams, data flow diagrams, firewall rule templates, DMZ, VLAN, VPN, and routing patterns, identity and access assumptions, logging evidence, and remote access patterns.
  • Support customer cybersecurity, MoC, and OT approval processes with clear technical documentation and repeatable review artifacts.
  • Ensure integration patterns account for segmentation, auditability, hardening, patching, remote access, change control, and customer approval expectations.
  • Define standards for source to target data assurance, data mapping, customer naming conventions, unit handling, latency, completeness, frequency, validity, and source versus target comparison.
  • Define how data quality signals are monitored, surfaced, alerted, and acted on across internal teams and customer facing workflows.
  • Support standards for historical backfill, replay, corrected history workflows, local versus cloud historian boundaries, and customer delivery validation.
  • Create reusable templates for customer standards management, data mapping, endpoint setup, and delivery validation.
  • Define pre PoC validation gates for customer and partner opportunities.
  • Validate that required systems, data sources, endpoints, access paths, network assumptions, and support expectations are understood before delivery begins.
  • Create repeatable technical validation plans for PoCs, pilots, partner integrations, and production deployments.
  • Develop repeatable validation procedures, troubleshooting methodologies, and diagnostic playbooks that improve deployment success, reduce integration risk, and accelerate issue resolution.
  • Provide clear go or no go input when technical readiness is incomplete or customer commitments create delivery risk.
  • Work with vendors and partner engineering teams to define integration responsibilities, data handoffs, technical boundaries, support expectations, and escalation paths.
  • Define how partner platforms fit into the NOV service wrapper for industrial data acquisition, data delivery, video, file workflows, operational communications, analytics, and customer endpoints.
  • Translate partner capabilities and constraints into practical implementation plans for NOV teams and customer facing stakeholders.
  • Track vendor readiness risks and make unresolved dependencies visible early.
  • Help turn recurring partner integration patterns into reusable templates and documented standards.
  • Support architecture and readiness for data movement from edge environments into cloud services, platform APIs, customer applications, partner systems, or external delivery endpoints.
  • Validate end to end data flows, connectivity, access, authentication, security, monitoring, and operational handoff requirements across edge systems, networks, cloud services, APIs, partner platforms, and customer environments.
  • Lead technical investigations and troubleshooting activities across edge, network, cloud, partner, and customer environments to identify and resolve integration, connectivity, deployment, and data quality issues before and during customer delivery.
  • Partner with product, engineering, operations, implementation, support, SRE, cybersecurity, and customer facing teams to make deployments repeatable and supportable.
  • Reduce one off delivery by documenting common integration patterns, technical assumptions, and deployment requirements.
  • Drive technical improvements that reduce dual stack complexity, manual mapping, custom connector work, and one off deployment risk.
  • Maintain integration documentation, readiness checklists, technical decision records, and reusable implementation templates.
  • Define standards for what technical evidence is required before customer or partner execution begins.
  • Turn lessons from PoCs, pilots, and partner deployments into improved architecture patterns, validation gates, and implementation guidance.
  • Maintain reusable artifacts for customer reviews, internal readiness checks, partner onboarding, and steady state support.

Requirements

What you’ll need
  • 5+ years of experience in systems engineering, integration engineering, solution engineering, technical architecture, industrial digital systems, or customer facing technical delivery.
  • Experience designing or validating integrations across edge systems, cloud services, APIs, data flows, partner systems, and customer delivery endpoints.
  • Experience with industrial data systems, operational data flows, OT and IT integration, industrial edge and cloud platforms, or rig and site data environments.
  • Experience working with vendors, partners, engineering teams, implementation teams, support teams, and customer facing stakeholders.
  • Strong technical fluency across edge to cloud architectures, networking, APIs, authentication, observability, cybersecurity, and operational data systems, including experience troubleshooting connectivity, security, data quality, and integration issues in distributed OT and IT environments.
  • Working knowledge of networking and OT and IT concepts such as TCP/IP, VLANs, routing, firewall rules, VPNs, DMZ design, segmentation, and secure remote access.
  • Working knowledge of industrial data protocols and interfaces such as WITSML, ETP, WITS, OPC UA, Modbus, MQTT, REST APIs, customer historians, or industrial data platforms.
  • Experience with data quality concepts such as latency, completeness, frequency, validity, source versus target comparison, mapping, units of measure, and real time data workflows.
  • Strong Linux administration and command line troubleshooting experience.
  • Experience using API and network diagnostic tools such as Postman, curl, Wireshark, tcpdump, and related troubleshooting utilities.
  • Demonstrated ability to analyze logs, validate end to end data flows, isolate root causes, and drive technical issues to resolution across complex distributed systems.
  • Experience identifying technical readiness risks before customer PoCs, pilots, or deployments begin.
  • Ability to create reference architectures, data flow diagrams, validation plans, integration checklists, and technical decision records.
  • Strong understanding of network, cybersecurity, access, data quality, auditability, service operations, and supportability considerations in integration heavy environments.
  • Ability to communicate technical tradeoffs clearly to technical teams, commercial stakeholders, partners, and customer facing teams.
  • Strong bias toward repeatable patterns, documentation, validation, and reducing one off integration work.
  • Experience leveraging AI assisted tools to accelerate troubleshooting, architecture reviews, integration design, documentation, and solution validation while applying sound engineering judgment to validate results.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account NOV Website LinkedIn All Job Openings 10,000+ employees Founded 1862 ⚡ Energy 🔧 Hardware 🏢 Enterprise Energy
  • Hardware
  • Enterprise NOV is a global leader in the provision of equipment and technology to the energy industry. With over 150 years of innovation, NOV empowers the global energy sector, focusing on enhancing oilfield operations and supporting the energy transition to more sustainable practices. By leveraging its technology-driven solutions, NOV helps customers produce energy safely and efficiently while minimizing environmental impacts. NOV also offers a single sign-on solution, MYNOV, enabling access to multiple NOV applications and services with one login. The company is committed to sustainability and continuous advancement in the energy sector. System Engineer – Solution Integrations 🔥 1 hour ago 🏢🏡 Houston – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer Cloud Cyber Security Distributed Systems Linux TCP/IP Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Own technical readiness across DaaS and partner application integrations.
  • Define repeatable architecture patterns for industrial data services across edge systems, control system data, cloud services, partner platforms, customer endpoints, and platform services.
  • Create reference architectures, integration diagrams, data flow views, deployment patterns, validation plans, and technical readiness checklists.
  • Define the technical baseline for secure data acquisition, buffering, monitoring, cloud processing, customer delivery, and steady state support.
  • Identify integration gaps, network constraints, cybersecurity requirements, vendor dependencies, and operational risks before PoCs or pilots begin.
  • Create reusable cybersecurity and OT evidence packages for customer IT and OT reviews.
  • Maintain standard topology diagrams, data flow diagrams, firewall rule templates, DMZ, VLAN, VPN, and routing patterns, identity and access assumptions, logging evidence, and remote access patterns.
  • Support customer cybersecurity, MoC, and OT approval processes with clear technical documentation and repeatable review artifacts.
  • Ensure integration patterns account for segmentation, auditability, hardening, patching, remote access, change control, and customer approval expectations.
  • Define standards for source to target data assurance, data mapping, customer naming conventions, unit handling, latency, completeness, frequency, validity, and source versus target comparison.
  • Define how data quality signals are monitored, surfaced, alerted, and acted on across internal teams and customer facing workflows.
  • Support standards for historical backfill, replay, corrected history workflows, local versus cloud historian boundaries, and customer delivery validation.
  • Create reusable templates for customer standards management, data mapping, endpoint setup, and delivery validation.
  • Define pre PoC validation gates for customer and partner opportunities.
  • Validate that required systems, data sources, endpoints, access paths, network assumptions, and support expectations are understood before delivery begins.
  • Create repeatable technical validation plans for PoCs, pilots, partner integrations, and production deployments.
  • Develop repeatable validation procedures, troubleshooting methodologies, and diagnostic playbooks that improve deployment success, reduce integration risk, and accelerate issue resolution.
  • Provide clear go or no go input when technical readiness is incomplete or customer commitments create delivery risk.
  • Work with vendors and partner engineering teams to define integration responsibilities, data handoffs, technical boundaries, support expectations, and escalation paths.
  • Define how partner platforms fit into the NOV service wrapper for industrial data acquisition, data delivery, video, file workflows, operational communications, analytics, and customer endpoints.
  • Translate partner capabilities and constraints into practical implementation plans for NOV teams and customer facing stakeholders.
  • Track vendor readiness risks and make unresolved dependencies visible early.
  • Help turn recurring partner integration patterns into reusable templates and documented standards.
  • Support architecture and readiness for data movement from edge environments into cloud services, platform APIs, customer applications, partner systems, or external delivery endpoints.
  • Validate end to end data flows, connectivity, access, authentication, security, monitoring, and operational handoff requirements across edge systems, networks, cloud services, APIs, partner platforms, and customer environments.
  • Lead technical investigations and troubleshooting activities across edge, network, cloud, partner, and customer environments to identify and resolve integration, connectivity, deployment, and data quality issues before and during customer delivery.
  • Partner with product, engineering, operations, implementation, support, SRE, cybersecurity, and customer facing teams to make deployments repeatable and supportable.
  • Reduce one off delivery by documenting common integration patterns, technical assumptions, and deployment requirements.
  • Drive technical improvements that reduce dual stack complexity, manual mapping, custom connector work, and one off deployment risk.
  • Maintain integration documentation, readiness checklists, technical decision records, and reusable implementation templates.
  • Define standards for what technical evidence is required before customer or partner execution begins.
  • Turn lessons from PoCs, pilots, and partner deployments into improved architecture patterns, validation gates, and implementation guidance.
  • Maintain reusable artifacts for customer reviews, internal readiness checks, partner onboarding, and steady state support. 🎯 Requirements
  • 5+ years of experience in systems engineering, integration engineering, solution engineering, technical architecture, industrial digital systems, or customer facing technical delivery.
  • Experience designing or validating integrations across edge systems, cloud services, APIs, data flows, partner systems, and customer delivery endpoints.
  • Experience with industrial data systems, operational data flows, OT and IT integration, industrial edge and cloud platforms, or rig and site data environments.
  • Experience working with vendors, partners, engineering teams, implementation teams, support teams, and customer facing stakeholders.
  • Strong technical fluency across edge to cloud architectures, networking, APIs, authentication, observability, cybersecurity, and operational data systems, including experience troubleshooting connectivity, security, data quality, and integration issues in distributed OT and IT environments.
  • Working knowledge of networking and OT and IT concepts such as TCP/IP, VLANs, routing, firewall rules, VPNs, DMZ design, segmentation, and secure remote access.
  • Working knowledge of industrial data protocols and interfaces such as WITSML, ETP, WITS, OPC UA, Modbus, MQTT, REST APIs, customer historians, or industrial data platforms.
  • Experience with data quality concepts such as latency, completeness, frequency, validity, source versus target comparison, mapping, units of measure, and real time data workflows.
  • Strong Linux administration and command line troubleshooting experience.
  • Experience using API and network diagnostic tools such as Postman, curl, Wireshark, tcpdump, and related troubleshooting utilities.
  • Demonstrated ability to analyze logs, validate end to end data flows, isolate root causes, and drive technical issues to resolution across complex distributed systems.
  • Experience identifying technical readiness risks before customer PoCs, pilots, or deployments begin.
  • Ability to create reference architectures, data flow diagrams, validation plans, integration checklists, and technical decision records.
  • Strong understanding of network, cybersecurity, access, data quality, auditability, service operations, and supportability considerations in integration heavy environments.
  • Ability to communicate technical tradeoffs clearly to technical teams, commercial stakeholders, partners, and customer facing teams.
  • Strong bias toward repeatable patterns, documentation, validation, and reducing one off integration work.
  • Experience leveraging AI assisted tools to accelerate troubleshooting, architecture reviews, integration design, documentation, and solution validation while applying sound engineering judgment to validate results. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Manager, Fleet Business Solutions, Strategy 🕒 3 days ago WM 10,000+ employees 📋 Compliance Website LinkedIn All Job Openings Senior Manager overseeing Fleet Business Solutions and Strategy at WM. Collaborating with management to implement enterprise solutions within a large scope and complexity. 🏢🏡 Houston – Hybrid 💰 Post-IPO Debt on 2023-07 ⏰ Full Time 🟠 Senior 💻 Solutions Engineer 🦅 H1B Visa Sponsor AI Solutions Architect 🕒 June 13 Indigo Beam Consulting 51 - 200 🤝 B2B 🏢 Enterprise 🤖 Artificial Intelligence Website LinkedIn All Job Openings AI Solutions Architect Engineer designing and building AI-enabled applications for Indigo Beam Consulting. Requires strong software engineering background with Python and enterprise solutions. 🏢🏡 Houston – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer Azure Cloud JavaScript MongoDB Node.js NoSQL Python React Spring .NET Solution Architect, AI, Azure 🕒 June 11 Long View Systems 1001 - 5000 🔒 Cybersecurity Website LinkedIn All Job Openings Solution Architect delivering innovative AI solutions using Microsoft Azure's AI services and business applications. Collaborating with clients to implement secure and scalable Microsoft solutions. 🏢🏡 Houston – Hybrid 💵 $134.4k - $176.4k / year ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Azure Cloud Technical Consultant/Solution Architect 🕒 May 19 Honeywell 10,000+ employees 🚀 Aerospace ⚡ Energy Website LinkedIn All Job Openings Technical Consultant driving sales and supporting integrated hardware + software solutions for Honeywell. Focus on real-time worker safety monitoring and compliance management. 🏢🏡 Houston – Hybrid 💵 $108k - $135k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 💻 Solutions Engineer 🦅 H1B Visa Sponsor Cloud IoT Solution Architect, Engineered Solutions – Lifecycle Services 🕒 May 15 Emerson 10,000+ employees 🏢 Enterprise ⚡ Energy ☁️ SaaS Website LinkedIn All Job Openings Solutions Architect for Emerson Automation Solutions providing engineered solutions for various industries. Engaging with customers to maximize technical support and revenue growth. 🏢🏡 Houston – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer 🦅 H1B Visa Sponsor View More Solutions Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
Edge To Cloud ArchitecturesData Quality ConceptsLinux AdministrationNetworking ConceptsIndustrial Data ProtocolsAPI DesignTroubleshooting ConnectivityData Flow ValidationTechnical DocumentationIntegration Patterns
Soft Skills
CommunicationCollaborationProblem-SolvingDocumentationBias Toward Repeatability