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Build And Deployment Engineer Jobs (NOW HIRING)

Orion Innovation

Deployment Engineer

Montvale, NJ · On-site

Senior Deployment Engineer to lead the deployment, automation, and operational enablement of ... Design, build, and optimize enterprisegrade CI/CD pipelines for application, data, and AI workloads

Orion Innovation

Deployment Engineer

Montvale, NJ · On-site

Senior Deployment Engineer to lead the deployment, automation, and operational enablement of ... Design, build, and optimize enterprise-grade CI/CD pipelines for application, data, and AI ...

OSARO

Deployment Engineer

San Francisco, CA · On-site +1

$100K - $140K/yr

We value candidates who are passionate about what they build, feel a strong sense of ownership over ... The Deployment Engineer will assist in onsite deployment operations and serve as an on-site OSARO ...

USM

Strong Deployment Engineer

Madison, WI

CA Harvest, Jenkins, MS Build, Maven, ANT, Gulp, Grunt and Open Make/ Meister. -Deployment Engineers work with these versioning tools: GIT, Bitbucket Deployment Engineer required experience and ...

OSARO

OR · On-site

$100K - $140K/yr

We value candidates who are passionate about what they build, feel a strong sense of ownership over ... The Deployment Engineer will assist in onsite deployment operations and serve as an on-site OSARO ...

Beyond SOF

Deployment Engineer

Fulton, MD · On-site

Deployment Engineer Location: in MD - 15 mins. from DC What you'll get to do * Implement algorithms ... Build distributed systems using technologies like Hadoop, Spark, and AWS. * Harden algorithms and ...

OSARO

OR · On-site

We value candidates who are passionate about what they build, feel a strong sense of ownership over ... The Deployment Engineer will assist in onsite deployment operations and serve as an on-site OSARO ...

Beyond SOF

Deployment Engineer

Fulton, MD

Deployment Engineer Location: in MD - 15 mins. from DC What you'll get to do * Implement algorithms ... Build distributed systems using technologies like Hadoop, Spark, and AWS. * Harden algorithms and ...

Cyngn

Deployment Engineer

To build this emergent technology, we are looking for innovative, motivated, and experienced ... As a Deployment Engineer , you are the technical architect of a live customer site. You move beyond ...

Cyngn

Deployment Engineer

OR · Remote

To build this emergent technology, we are looking for innovative, motivated, and experienced ... As a Deployment Engineer , you are the technical architect of a live customer site. You move beyond ...

Seaboard

Staff Forward Deployment Engineer

Merriam, KS · On-site

The Staff Forward Deployment Engineer is hands-on build using AI-Assisted Development, orchestrating delivery (running standups, coordinating across business and IT teams, clarifying priority, and ...

Path Robotics

Deployment Engineer

Columbus, OH · On-site

Build the Path Forward At Path Robotics, we're building the future of embodied intelligence. Our AI ... Our Deployment Engineers work to seamlessly integrate our robots, sensors, and software into a ...

InfoVision, Inc.

Forward Deployment Engineer

Dallas, TX · On-site

Forward Deployment Engineer Dallas, TX Hybrid We are seeking a skilled Forward Deployment Engineer ... Build and maintain data pipelines and workflows in Palantir Foundry, integrating structured and ...

Path Robotics

Deployment Engineer

Columbus, OH · On-site

Build the Path Forward At Path Robotics, we're building the future of embodied intelligence. Our AI ... Our Deployment Engineers work to seamlessly integrate our robots, sensors, and software into a ...

Array

Deployment Engineer

$100K/yr

Maintain a habit of using AI tools to think, build, and ship faster-it's your default, not an afterthought. You Have: * 5+ years of deployment, implementation, or systems engineering experience in ...

Brillio

Forward Deployment Engineer

Jersey City, NJ · Hybrid

Role Overview We are looking for Forward Deployment Engineers (FDEs) to work directly with customer business and technology teams to design, build, and deploy AI-driven solutions that transform real ...

Array

Deployment Engineer

OR · On-site +1

$100K/yr

Maintain a habit of using AI tools to think, build, and ship faster-it's your default, not an afterthought. You Have: * 5+ years of deployment, implementation, or systems engineering experience in ...

Sycurio

Deployment Engineer

Charleston, WV · Remote

The Deployment Engineer will work with Project Managers and Technical Architects to deploy and test ... Build, test and deploy standard customer solutions as defined in low level design and test ...

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Build And Deployment Engineer information

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How much do build and deployment engineer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for build and deployment engineer in the United States is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $69.23 per hour, depending on experience, location, and employer.

What are Build and Deployment Engineers?

Build and Deployment Engineers are IT professionals responsible for automating, managing, and overseeing the processes involved in building software applications and deploying them to production environments. They work closely with development, QA, and operations teams to ensure that code changes are properly integrated, tested, and released efficiently and reliably. Their duties often include managing version control systems, configuring CI/CD pipelines, troubleshooting build failures, and maintaining deployment scripts. This role is critical in enabling continuous delivery and minimizing downtime during software releases.

What are some common challenges faced by Build and Deployment Engineers, and how can they be addressed?

Build and Deployment Engineers often encounter challenges such as managing complex build pipelines, handling integration issues, and ensuring consistent deployments across multiple environments. These challenges can be addressed by implementing robust automation tools, maintaining clear documentation, and collaborating closely with development, QA, and operations teams. Staying up to date with the latest CI/CD practices and proactively identifying bottlenecks also helps in maintaining smooth and reliable deployment processes.

What is the difference between Build And Deployment Engineer vs Software Developer?

AspectBuild And Deployment EngineerSoftware Developer
Primary FocusAutomating build, deployment, and release processesWriting, testing, and maintaining software code
Skills & CertificationsDevOps tools, scripting, CI/CD pipelinesProgramming languages, software design
Work EnvironmentDevOps teams, infrastructure, cloud platformsDevelopment teams, coding environments
Industry UsageTech companies, software firms, startupsAll industries developing software products

Build And Deployment Engineers focus on automating and managing the software release process, ensuring smooth deployment across environments. Software Developers primarily create and maintain software applications. While their roles overlap in understanding software development, their core responsibilities differ significantly, with Build And Deployment Engineers emphasizing deployment automation and Developers focusing on coding.

What are the key skills and qualifications needed to thrive as a Build and Deployment Engineer, and why are they important?

To thrive as a Build and Deployment Engineer, you need a solid understanding of software development processes, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines, often supported by a background in computer science or related fields. Familiarity with tools like Jenkins, Git, Docker, Kubernetes, and scripting languages such as Bash or Python is typically required, along with certifications like AWS Certified DevOps Engineer being advantageous. Strong problem-solving, attention to detail, and effective communication skills help you collaborate across teams and respond quickly to build or deployment issues. These skills are crucial for ensuring reliable, efficient software releases and maintaining the stability of production environments.
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Build And Deployment Engineer jobs near you
Infographic showing various Build And Deployment Engineer job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 52% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.
Deployment Engineer

Deployment Engineer

Orion Innovation

Montvale, NJ • On-site

Other

Posted 10 days ago

Job description

Senior Deployment Engineer to lead the deployment, automation, and operational enablement of enterprisescale cloud, data, and AI platforms. This role is critical to ensuring productionready, secure, and scalable deployments across Client analytics, AI, and digital platforms.

The engineer will work closely with Client cloud platform, data engineering, AI, DevOps, and security teams. The role requires deep handson expertise combined with the ability to own deployment strategy, improve platform standards.

Key Responsibilities

Enterprise Platform Deployment Leadership

  • Lead endtoend deployment of complex cloud, data, and AI platforms across mostly Azure but also AWS
  • Own deployment architecture, standards, and operational readiness for nonprod and production environments
  • Serve as the senior escalation point for deploymentrelated failures, instability, or performance issues

DevOps & CI/CD Excellence

  • Design, build, and optimize enterprisegrade CI/CD pipelines for application, data, and AI workloads
  • Establish and enforce deployment best practices including versioning, rollback strategies, and environment parity
  • Drive automation to minimize manual deployment effort and reduce operational risk

Kubernetes & Container Platforms

  • Lead deployment and operations of containerized platforms on AKS (Azure Kubernetes Service)
  • Manage cluster configuration, scaling, ingress/egress, secrets, and workload isolation
  • Support container security, resilience, and high availability standards

Data & Analytics Platform Enablement

  • Own deployment and operationalization of Databricks and Microsoft Fabric environments
  • Support enterprise data workloads including Lakehouse architectures, analytics pipelines, and platform integrations
  • Partner with data engineering teams to ensure deployments are optimized for scale, cost, and performance

AI Platform Deployment

  • Lead deployment of AI solutions using Azure OpenAI Service
  • Support environment configuration, endpoint management, security controls, and production hardening
  • Operationalize AI workloads responsibly and securely

Infrastructure as Code & Cloud Engineering

  • Build and maintain Infrastructure as Code (IaC) using Terraform, ARM/Bicep, or CloudFormation
  • Ensure cloud resources follow enterprise security, networking, and governance standards
  • Optimize cloud environments for cost efficiency, performance, and reliability

Security, Monitoring & Compliance

  • Implement and enforce cloud security best practices (IAM, secrets, encryption, network isolation)
  • Own monitoring, logging, and alerting strategy across deployed platforms
  • Support audits, compliance reviews, and production readiness validations in regulated environments

Required Technical Skills

Core Expertise (SeniorLevel)

  • DevOps & Deployment Engineering in largescale enterprise environments
  • Azure Cloud (strong experience across compute, networking, security, and governance)
  • AKS (Azure Kubernetes Service) - production deployment and operations
  • Databricks - enterprise deployment and platform enablement
  • Microsoft Fabric - environment setup and operational support
  • AI Platforms - experience deploying solutions using Azure OpenAI Service
  • AWS Cloud - handson deployment and operational understanding

Tooling & Technologies

  • CI/CD platforms (Azure DevOps, GitHub Actions, Jenkins, or equivalent)
  • Infrastructure as Code: Terraform, ARM templates, Bicep, CloudFormation
  • Containers & orchestration: Docker, Kubernetes
  • Monitoring & observability: Azure Monitor, Log Analytics, CloudWatch, Prometheus

Qualifications & Experience

  • 8+ years of experience in Cloud, DevOps, or Deployment Engineering roles
  • Proven experience leading deployments for data, analytics, and AI platforms
  • Strong background supporting production enterprise systems
  • Experience in regulated or auditdriven environments is highly preferred
  • Ability to operate independently and lead complex deployment initiatives endtoend

Apply