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Cloud Engineer Jobs in Delaware (NOW HIRING)

Berkley

Network Automation Engineer

Wilmington, DE · On-site

This role partners closely with network architecture, security, and cloud engineering teams to streamline operations, reduce manual effort, and accelerate the transition to a software-defined, cloud ...

Berkley

Network Automation Engineer

Wilmington, DE

This role partners closely with network architecture, security, and cloud engineering teams to streamline operations, reduce manual effort, and accelerate the transition to a software-defined, cloud ...

Berkley

Network Automation Engineer

Wilmington, DE

This role partners closely with network architecture, security, and cloud engineering teams to streamline operations, reduce manual effort, and accelerate the transition to a software-defined, cloud ...

3B Staffing LLC

Site Reliability Engineer

Wilmington, DE

$55.25 - $73.50/hr

Manager is not looking for cloud/ DevOps/ infrastructure skilled candidates - DO NOT sent profiles with these experiences * This is an SRE focused role - hiring manager is looking for someone who is ...

3B Staffing LLC

Site Reliability Engineer

Wilmington, DE

$55.25 - $73.50/hr

Manager is not looking for cloud/ DevOps/ infrastructure skilled candidates - DO NOT sent profiles with these experiences * This is an SRE focused role - hiring manager is looking for someone who is ...

3B Staffing LLC

DevSecOps Engineer

Newark, DE · Hybrid

$51.75 - $70.75/hr

AWS cloud deployment experience would be a huge plus * JFrog Artifactory - nice to have We are looking for a seasoned DevSecOps Engineer with expertise in embedded Linux systems, CI/CD automation ...

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All JobsCloud Engineer JobsCloud Engineer Jobs in Delaware

Cloud Engineer information

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How much do cloud engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for cloud engineer in Delaware is $62.94, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $71.68 per hour, depending on experience, location, and employer.

What is a cloud engineer?

As a cloud engineer, you manage and monitor cloud computing systems. Your job duties include creating, testing, and implementing cloud technologies based on the demands of your business. Many cloud engineers are involved in other aspects of information technology, such as overseeing SAP projects. Strong communication skills are required to communicate with clients to understand their needs so that you can create effective solutions for them. You work closely with the entire development team to create a work plan and timeline for deliverables on a project.

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

To thrive as a Cloud Engineer, you need a strong background in computer science, networking, and cloud computing platforms like AWS, Azure, or Google Cloud, often supported by a relevant degree or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation), containerization (Docker, Kubernetes), and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively across technical and business teams. These skills ensure efficient cloud infrastructure deployment, robust security, and seamless operations critical for modern organizations.

What are some common challenges cloud engineers face when migrating legacy systems to the cloud?

Cloud Engineers often encounter challenges such as ensuring data integrity during migration, minimizing downtime, and addressing compatibility issues between legacy applications and cloud platforms. Additionally, they must plan for security and compliance requirements while optimizing costs and performance. Collaboration with cross-functional teams, including security, application owners, and business stakeholders, is crucial to successfully navigate these complexities and deliver a seamless transition.

What is the difference between Cloud Engineer vs Cloud Administrator?

AspectCloud EngineerCloud Administrator
CertificationsAWS, Azure, Google Cloud certifications, DevOps toolsSimilar cloud platform certifications, focus on administration
Work EnvironmentDesigning, developing, and deploying cloud solutionsManaging and maintaining cloud infrastructure
ResponsibilitiesBuilding cloud architecture, automation, scriptingMonitoring, configuring, troubleshooting cloud systems
Industry UsageUsed across tech, finance, healthcare for cloud deploymentPrimarily in organizations with existing cloud infrastructure

While both roles work with cloud platforms, Cloud Engineers focus on designing and building cloud solutions, whereas Cloud Administrators manage and maintain existing cloud environments. Understanding these differences helps in choosing the right career path or job role.

Do cloud engineers get paid well?

Cloud engineers typically earn competitive salaries due to the high demand for skills in cloud platforms like AWS, Azure, and Google Cloud. Salaries vary based on experience, certifications, and location, but generally, cloud engineering is considered a well-paying IT role. Professionals with expertise in scripting, automation, and security tend to have higher earning potential.

Is cloud engineering still in demand?

Cloud engineering remains in high demand as organizations continue to migrate to cloud platforms like AWS, Azure, and Google Cloud. Professionals with skills in cloud architecture, security, and automation are sought after, and certifications such as AWS Certified Solutions Architect can enhance job prospects.

What does a cloud engineer actually do?

A cloud engineer designs, implements, and manages cloud infrastructure and services, such as AWS, Azure, or Google Cloud. They handle tasks like deploying applications, ensuring security, optimizing performance, and maintaining cloud environments, often using scripting and automation tools. Strong knowledge of networking, security, and cloud platforms is essential for this role.
More about Cloud Engineer jobs

What are the most commonly searched types of Cloud Engineer jobs in Delaware?

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For Cloud Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Cloud Engineer jobs in Delaware look for?

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Cloud Engineer jobs near you
Infographic showing various Cloud Engineer job openings in Delaware as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $130,915 per year, or $62.9 per hour.

Software Engineer III - Databricks

JPMorgan Chase & Co.

Wilmington, DE • On-site

$135 - $195/hr

Other

Re-posted 26 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team
  • Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability
  • Builds data pipelines using Databricks ETL
  • Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams
  • Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle
  • Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices
  • Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives
  • Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands‑on experience in software engineering, system design, application development, testing, and operational stability
  • Proficiency in Python; strong grounding in secure data practices
  • Hands‑on Databricks experience across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses, including cluster configuration and optimization
  • Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker
  • Experience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration
  • Database experience with Oracle and/or Cassandra
  • Familiarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools
  • Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred qualifications, capabilities, and skills
  • Background with machine learning frameworks, MLOps practices, and end‑to‑end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection)
  • Experience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale
  • Experience with ERWIN for data modeling
  • Familiarity with TensorFlow
  • Familiarity with data modeling and query optimization
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