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Deployment Analyst Jobs in Texas (NOW HIRING)

... analytics, Generative AI, transformative technologies, and creative design. We can enhance customer ... Work you'll do As a Customer Deployment Specialist on the Digital Foundry, Operate, & Innovation ...

The Resource Management Deployment Manager will play a critical role in supporting the growth and ... Generate and analyze resource management reports, including availability reports, billable hour ...

... analytics, Generative AI, transformative technologies, and creative design. We can enhance customer ... Work you'll do As a Customer Deployment Specialist on the Digital Foundry, Operate, & Innovation ...

The Resource Management Deployment Manager will play a critical role in supporting the growth and ... Generate and analyze resource management reports, including availability reports, billable hour ...

... analytics, Generative AI, transformative technologies, and creative design. We can enhance customer ... Work you'll do As a Customer Deployment Specialist on the Digital Foundry, Operate, & Innovation ...

Deployment Systems Engineer

Austin, TX · On-site

$120 - $230/hr

Deployment Systems Engineer New York, NY • Los Angeles, CA • Austin, TX Nominal is building the ... Our platform gives hardware engineering teams a single place to ingest data, analyze performance ...

New

Showing results 21-40

Deployment Analyst information

See Texas salary details

$28.9K

$68.3K

$121.1K

How much do deployment analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for deployment analyst in Texas is $68,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What is a deployment analyst?

A Deployment Analyst is responsible for managing and coordinating the deployment of software, systems, or hardware within an organization. They ensure seamless implementation by working closely with development, operations, and support teams. Key responsibilities include testing updates, troubleshooting issues, and optimizing deployment processes to minimize downtime. Deployment Analysts also document deployment procedures and provide training or support to end users. Their role is essential in maintaining efficiency and stability in IT environments.

What are the typical daily responsibilities of a deployment analyst?

A Deployment Analyst's daily tasks often include analyzing deployment requirements, coordinating with cross-functional teams to schedule and execute software or system rollouts, and troubleshooting any issues that arise during the process. They are responsible for maintaining detailed documentation, managing deployment timelines, and communicating regularly with stakeholders to ensure transparency and alignment. Additionally, they may perform post-deployment reviews to identify improvements and support ongoing optimization of deployment practices. This role balances technical tasks with collaboration, ensuring smooth transitions for end users and the organization.

What are the key skills and qualifications needed to thrive in the deployment analyst position, and why are they important?

A Deployment Analyst typically needs strong analytical skills, proficiency in project management, and a background in information technology or related fields. Familiarity with deployment tools such as Microsoft SCCM, software version control systems, and relevant certifications like ITIL or CompTIA is highly valued. Excellent problem-solving, organization, and communication abilities help facilitate seamless coordination with technical and non-technical teams. These skills are crucial for ensuring efficient rollout of software, updates, or systems while minimizing disruption and maintaining operational stability.

What does a deployment analyst do?

A deployment analyst is responsible for planning, coordinating, and executing the deployment of software, hardware, or systems within an organization. They analyze deployment processes, troubleshoot issues, and ensure that implementations meet technical and business requirements, often using tools like project management software and following established procedures.

What are popular job titles related to Deployment Analyst jobs in Texas?

For Deployment Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Deployment Analyst jobs in Texas look for?

The top searched job categories for Deployment Analyst jobs in Texas are:

Infographic showing various Deployment Analyst job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 78% In-person, 4% Hybrid, and 18% Remote job distribution, with an average salary of $68,254 per year, or $32.8 per hour.

Senior Forward Deployment Engineer

Luxoft

Irving, TX • On-site

$120 - $180/hr

Other

Posted 13 days ago


Job description

Project description

The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications.Forward Deployed Engineers will conduct targeted, hands‑on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence.The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands‑on coding and configuration.The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns.The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices.

Responsibilities
  • Collaborate directly with development teams to identify and resolve issues related to testing, security, release, deployment, resilience, and legacy technologies.
  • Review application code, dependencies, test coverage, runtime configurations, deployment processes, logs, monitoring systems, and CI/CD pipelines.
  • Write, debug, test, review, and enhance production application code and configurations.
  • Develop and maintain automated unit, integration, component, regression, and deployment smoke tests.
  • Apply Test-Driven Development practices and select appropriate testing approaches with guidance as needed.
  • Source test data and apply masking techniques to protect sensitive information in lower environments.
  • Investigate vulnerabilities and dependency risks, identify root causes, implement secure remediation, and conduct regression testing.
  • Upgrade Java/JVM or NPM runtimes, Spring components, libraries, dependencies, base images, operating systems, and installed software.
  • Assist in implementing automated and continuous dependency updates using Renovate or comparable tools.
  • Support modernization efforts for legacy applications and middleware stacks, including WebSphere or WebLogic when applicable.
  • Containerize applications using Docker and deploy or support them on OpenShift platforms.
  • Enhance Git workflows, branch management, pull requests, and code-review processes.
  • Implement and improve CI/CD pipelines, automated quality gates, deployment validation, and rollback procedures.
  • Automate database changes using Liquibase or similar migration tools.
  • Support application and environment automation through Ansible or equivalent tools.
  • Apply secure coding patterns and adhere to standards for secrets management, authentication, authorization, and handling sensitive data.
  • Improve structured logging, exception handling, health checks, metrics, tracing, dashboards, and operational alerts.
  • Support highly available and resilient deployment strategies.
  • Troubleshoot production and non-production issues using code analysis, SQL, logs, metrics, traces, and diagnostic tools.
  • Communicate progress, risks, technical decisions, blockers, and dependencies to engineering, security, architecture, operations, project management, and client stakeholders.
  • Document implemented solutions and facilitate knowledge transfer to development and support teams.
  • Own a defined technical workstream from assessment and implementation through testing, deployment, and stabilization.

SKILLS Must have
  • The role requires strong professional software engineering expertise, typically spanning 4–7 years, including recent hands‑on development of production applications. The candidate must actively write and debug code, with recent experience directly involving production code or configuration changes made within the last 12–18 months.
  • Hard skills include:
  • Advanced Java and JVM development, with strong TypeScript skills valued for Node.js environments.
  • Practical experience with Spring or similar enterprise frameworks.
  • Proficiency in Test-Driven Development, automated testing, and familiarity with multiple test frameworks and automation approaches.
  • Capability to develop unit and integration tests and support deployment smoke testing.
  • Experience with CI/CD pipelines, automated builds, quality gates, and application deployments.
  • Knowledge of secure coding practices and experience addressing application vulnerabilities.
  • Experience upgrading runtimes, frameworks, libraries, dependencies, and operating systems.
  • Familiarity with Docker and containerized application delivery.
  • Working knowledge of OpenShift, Kubernetes, or comparable container platforms.
  • Competence in Linux command-line tools and production troubleshooting.
  • Experience with build tools such as Maven, Gradle, or npm.
  • Strong Git and source control practices, including branching, pull requests, and code reviews.
  • Skills in troubleshooting applications using SQL, logs, metrics, traces, stack traces, and monitoring tools.
  • Understanding of observability concepts, structured logging, exception handling, health checks, and production support.
  • Knowledge of transactions, retries, idempotency, rollback, resilience, and distributed system failure patterns.
  • Soft skills include:
  • Ability to independently manage a defined technical workstream from analysis through production deployment.
  • Effective communication with stakeholders and collaboration with development, security, operations, architecture, and project management teams.
  • Willingness and ability to rapidly learn new applications, tools, and technology stacks.
  • Responsible use of AI coding tools to enhance software engineering and testing productivity.

Nice to have
  • Experience with OpenShift or enterprise Kubernetes environments, demonstrating familiarity with container orchestration platforms.
  • Experience modernizing applications deployed on WebSphere, WebLogic, or other legacy application servers, indicating skills in updating and migrating legacy systems.
  • Experience upgrading Java, Spring, Spring Boot, Node.js, NPM, or other application runtime stacks, reflecting knowledge of maintaining and advancing software frameworks.
  • Experience with Renovate, Dependabot, or similar automated dependency-update tools, showing capability in managing software dependencies efficiently.
  • Experience with Software Composition Analysis, CVE evaluation, reachability analysis, or transitive‑dependency remediation, indicating awareness of software security and vulnerability management.
  • Experience with Liquibase, Flyway, or similar database migration tools, demonstrating proficiency in managing database schema changes.
  • Experience with Ansible or other infrastructure and software automation tools, reflecting skills in automating IT operations.
  • Experience in TypeScript, Node.js, and npm development, indicating programming expertise in these technologies.
  • Experience with monitoring and observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, showing ability to implement and utilize system monitoring solutions.
  • Experience with test‑data generation, test‑data management, or masking of sensitive data, demonstrating knowledge of data privacy and testing practices.
  • Experience with high‑availability, hot‑hot, active‑active, multi‑region, or cross‑datacenter architectures, indicating familiarity.
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