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Contract Deployment Engineer Jobs in Houston, TX

Manage key vendor relationships including contract negotiations, pricing, and evaluation of current ... engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics ...

Manage key vendor relationships including contract negotiations, pricing, and evaluation of current ... engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics ...

Houston,TXDuration: long Term Contract Must have • PowerShell Scripting (Medium level scripts ... AWS Deployments Mandatory Skills:- • 4+ Yrs of experience on scripting languages such as ...

Contract Manager

Houston, TX · On-site

$85K - $113K/yr

Engineering Department Opening Date: 08/27/2026 Closing Date: 9/10/2026 11:59 PM Central Position ... Emergency Deployment & Continuity of Operations Requirement: In accordance with Harris County ...

Engineering Department Opening Date: 07/29/2026 Closing Date: 9/10/2026 11:59 PM Central Position ... Emergency Deployment & Continuity of Operations Requirement: In accordance with Harris County ...

DevOps Engineer

Houston, TX · On-site

$48.75 - $66.75/hr

Houston, TX Duration: 12+ Months Contract * Strong AWS understand and skills * CI/CD implementation ... Deployment tools and methodologies like AWS Blue/Green deployments * Strong Terraform skills

DevOps Engineer(W2 Contract)

Houston, TX · On-site

$50.25 - $69/hr

... Engineer - 9+ Years Location: Multiple Client Locations Type: W2 Only C2C: Not Accepted We are ... Cloud infrastructure and deployment automation * Security and DevSecOps practices * Strong ...

Senior DevOps Engineer

Texas City, TX · On-site

$111K - $142K/yr

W2 Contract Only We are looking for an experienced Senior DevOps Engineer to design, implement, and maintain reliable and scalable development and deployment environments. The ideal candidate will ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

Contract-to-Hire Compensation: $65-85k - depending on experience Work Schedule: Onsite Benefits ... Image and reimage Windows laptops using established deployment procedures. * Troubleshoot virtual ...

Release Engineer

Houston, TX · On-site

$60 - $62/hr

This is a 12+ months contract opportunity with long-term potential and is located in Houston, TX ... Need resources with focus on infra deployment and certified AZ-104, along with Could Migration (AWS ...

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Contract Deployment Engineer information

See Houston, TX salary details

$33.9K

$104.6K

$162.3K

How much do contract deployment engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for contract deployment engineer in Houston, TX is $104,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a contract deployment engineer?

A Contract Deployment Engineer is a professional who specializes in deploying, managing, and maintaining smart contracts on blockchain platforms. They ensure that smart contracts are securely and efficiently implemented, tested, and updated as needed. Their role often involves collaborating with developers, auditing code, and monitoring the performance of deployed contracts to prevent vulnerabilities or errors. This job requires a strong understanding of blockchain architectures, programming languages like Solidity, and security best practices.

What are the key skills and qualifications needed to thrive as a contract deployment engineer?

To thrive as a Contract Deployment Engineer, you need a strong background in blockchain development, smart contract programming (often using Solidity), and familiarity with decentralized application (dApp) architecture. Proficiency with tools like Truffle, Hardhat, Remix, and blockchain networks such as Ethereum, along with relevant certifications, is highly beneficial. Attention to detail, problem-solving ability, and clear communication are essential soft skills for auditing code and collaborating with cross-functional teams. These skills ensure secure, efficient, and reliable deployment of smart contracts, which is critical for maintaining trust and functionality in blockchain ecosystems.

What are some common challenges faced by contract deployment engineers when integrating new smart contracts into existing blockchain systems?

Contract Deployment Engineers often encounter challenges such as ensuring compatibility between new smart contracts and legacy code, managing proper version control, and conducting thorough security audits to prevent vulnerabilities. Coordinating with development, QA, and DevOps teams is essential to address deployment risks and to facilitate smooth integration. Additionally, adapting to rapidly evolving blockchain frameworks and managing deployment pipelines across multiple environments requires both strong technical skills and effective cross-functional communication.

What is the difference between Contract Deployment Engineer vs Network Deployment Engineer?

AspectContract Deployment EngineerNetwork Deployment Engineer
Required CredentialsBachelor's in Engineering or IT, certifications like Cisco CCNA or CompTIA Network+Bachelor's in Computer Science or related, similar certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentOn-site and remote deployment projects, client sites, data centersNetwork installation, configuration, and testing in enterprise or data center environments
Employer & Industry UsageTelecom, IT services, networking companiesTelecom, enterprise IT, networking service providers

The Contract Deployment Engineer and Network Deployment Engineer roles share similar credentials and work environments, focusing on deploying network infrastructure. The main difference lies in scope: Contract Deployment Engineers often handle broader deployment projects across various clients, while Network Deployment Engineers specialize specifically in network setup and configuration. Both roles are essential in ensuring reliable network infrastructure in their respective industries.

What are the most commonly searched types of Deployment Engineer jobs in Houston, TX?

The most popular types of Deployment Engineer jobs in Houston, TX are:

What are popular job titles related to Contract Deployment Engineer jobs in Houston, TX?

For Contract Deployment Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Contract Deployment Engineer jobs in Houston, TX look for?

The top searched job categories for Contract Deployment Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Contract Deployment Engineer jobs?

Cities near Houston, TX with the most Contract Deployment Engineer job openings:

Infographic showing various Contract Deployment Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $104,627 per year, or $50.3 per hour.

Network Engineer, Deployment & Support

Meta

Houston, TX

$106K/yr

Full-time

Posted 4 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is looking for an Optical Network Deployment Engineer to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most complex backbone, edge, and optical networks. As a member of this team, you will have a unique opportunity to work on projects related to the planning, implementation, and scaling of Meta's AI network infrastructure. This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas, gather constructive feedback from stakeholders, and drive implementation of improvements.
Network Engineer, Deployment & Support Responsibilities:
  • Proactively partner with backbone engineering, capacity planning, business, and operations teams to synthesize complex cross-functional requirements into scalable infrastructure solutions
  • Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network, including long-haul terrestrial, regional metro, and subsea segments connecting data centers and PoP sites
  • Make independent, high-impact technical and planning decisions affecting backbone network deployment and operations
  • Provide technical expertise on network deployment and migration across data centers and POPs, spanning space & power, configuration, testing, and production handoff
  • Collaborate on strategic road mapping and organizational initiatives to prioritize scalable, efficient, and reliable network migrations aligned with business goals
  • Contribute to Optical Transport Network (OTN) deployment/migration strategies of network architecture spanning data centers, backbone, edge, and cloud platforms
  • Create and analyze network code, automate network configurations and migrations through scripting, and leverage AI to enhance network operations
  • Work cross-functionally to generate implementation plans including Method of Procedure (MOP), Bill of Materials (BOM), and Engineering Design Packages (EDP)
  • Maintain standards for all builds and design packages for metro, regional and long-haul DWDM rings/systems
  • Serve as a representative in large-scale program initiatives, driving alignment and execution across teams and stakeholders
  • Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Drive alignment on workflow management tooling requirements, focusing on efficiency and automation roadmaps
  • Leverage a data driven approach to influence business and network health metrics

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 5+ years of experience in optical network engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G)
  • Experience with optical line systems and transponder platforms (e.g., Ciena, Nokia, Infinera, or equivalent)
  • Demonstrated expertise in architecting and deploying complex network solutions across data centers, backbone, edge, and public cloud environments
  • Experience with field-based work in 3rd Party Network Collocation Facilities, Internet Exchanges, Data Center, Central Offices, etc
  • Track record of defining and executing successful network strategies with measurable, organization-wide impact
  • Experience analyzing data to inform decisions, communicating technical plans and risks to stakeholders in writing, and collaborating across cross-functional teams to deliver results in large-scale contexts
  • Experience in communicating risks and action plans to stakeholders as well as building relationships and collaboration within a cross-functional team and business leaders
  • Willingness to travel approximately 10% of the time

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working in a Data Center, DC architecture and issues related to data center networks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience building automation workflows using Python, Go, or similar languages, and working with network configuration management tooling
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Working knowledge of Artificial Intelligence / Machine Learning models
  • Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$106,995/year to $159,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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