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Devops Engineer Jobs in Reading, PA (NOW HIRING)

Summary As the Marketing & DevOps Project Manager, you will oversee and manage projects related to marketing campaigns and development projects.โ€ฏThe Marketing & DevOps Project Managerโ€ฏwill ...

Summary As the Marketing & DevOps Project Manager, you will oversee and manage projects related to marketing campaigns and development projects.โ€ฏThe Marketing & DevOps Project Managerโ€ฏwill ...

Traffic Engineer

Allentown, PA ยท On-site

$83K - $113K/yr

GPI seeks a full-time Traffic Engineer for our growing Pennsylvania operations in one of our offices in Scranton, Allentown, Plymouth Meeting, or Mechanicsburg, PA. This position provides the ...

Traffic Engineer

Allentown, PA ยท On-site

$83K - $113K/yr

Description GPI seeks a full-time Traffic Engineer for our growing Pennsylvania operations in one of our offices in Scranton, Allentown, Plymouth Meeting, or Mechanicsburg, PA. This position provides ...

... DevOps, or Site Reliability Engineering (SRE). * Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda). * Observability Tools: Proven experience with Dynatrace, Jaeger, or ...

... DevOps, or Site Reliability Engineering (SRE). Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda). Observability Tools: Proven experience with Dynatrace, Jaeger, or ...

Optical Test Development Engineer

Allentown, PA ยท On-site

$127K - $164K/yr

Experience with GitHub, GitHub CoPilot, Azure DevOps. * Knowledge of industry standards and regulations related to optical testing. * Strong communication skills and the ability to collaborate ...

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Devops Engineer information

See Reading, PA salary details

$15

$58

$82

How much do devops engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for devops engineer in Reading, PA is $58.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.70 and $66.73 per hour, depending on experience, location, and employer.

What is a DevOps engineer?

As a DevOps engineer, you collaborate with the IT development and operations teams to oversee the continuous integration of software applications throughout development, deployment, and infrastructure management. Your job duties include coding, scripting, testing, managing hardware and network configurations, logging, and performing health checks. You may be responsible for managing the automation processes between development and operations, and ensuring they work together for code releases. You may use a variety of DevOps tools like Nagios, Docker, and Git.

What are the key skills and qualifications needed to thrive as a DevOps engineer, and why are they important?

To thrive as a DevOps Engineer, you need a solid understanding of software development, IT operations, automation, and CI/CD practices, often supported by a degree in computer science or related fields. Familiarity with tools such as Jenkins, Docker, Kubernetes, AWS/Azure, and configuration management systems like Ansible or Chef is highly valued, along with relevant certifications (e.g., AWS Certified DevOps Engineer). Strong problem-solving abilities, collaboration, and effective communication are crucial soft skills for bridging development and operations teams. These skills and qualities are important for ensuring efficient software delivery, system reliability, and seamless collaboration across the software development lifecycle.

How do DevOps engineers typically collaborate with development and operations teams on a daily basis?

DevOps Engineers act as a bridge between development and operations teams by automating workflows, facilitating communication, and ensuring smooth software deployments. On a daily basis, they work closely with developers to integrate code changes, manage CI/CD pipelines, and troubleshoot build or deployment issues. They also collaborate with IT operations to monitor system performance, address infrastructure concerns, and implement security best practices. This collaborative approach helps ensure rapid delivery of reliable software while minimizing downtime.

Is DevOps still in demand in 2026?

DevOps engineers continue to be in high demand in 2026 due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure remain valuable for organizations seeking efficient software deployment and operations.

Is a DevOps engineer a high paying career?

DevOps engineers are generally considered to have high earning potential due to their specialized skills in automation, cloud platforms, and continuous integration. Salaries vary based on experience, location, and certifications, but the role is often among the higher-paying positions in the tech industry.

What job categories do people searching Devops Engineer jobs in Reading, PA look for?

The top searched job categories for Devops Engineer jobs in Reading, PA are:

What cities near Reading, PA are hiring for Devops Engineer jobs?

Cities near Reading, PA with the most Devops Engineer job openings:

Infographic showing various Devops Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,916 per year, or $58.1 per hour.

AWS DevOps Engineer / AI Platform Engineer (Hybrid Onsite)

GSK Solutions Inc.

Sinking Spring, PA โ€ข On-site

$51.75 - $70.75/hr

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Job description

Job Title

AWS DevOps Engineer / AI Platform Engineer (Hybrid Onsite)

Location

Reading, PA

Duration

6 Months

Interview Type

Virtual / In-Person

Note

  • Hybrid 2-3 days/wk at client office

  • Is your candidate willing to relocate for position 

Description

Requirements

  • Experience: 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).

  • Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda).

  • Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.

  • AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore.

  • Automation: Advanced experience with Terraform and CI/CD pipeline design.

  • Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence.

User this when submitting candidates:

Also please check if the next candidate has some experience with at least 50% of below items:

  • Implementation of Agents on Agentcore runtime

  • Implementation of Agentic SDLC in Agentcore

  • Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI

  • Implementation of Bedrock Knowledge Base

  • Implementation of Knowledge Graph

  • Implementation of MCP servers in Agentcore

  • Implementation of Agentcore Gateway

  • Implementation of Agentcore Identity

  • Implementation of Agentic AI Observability

  • Implementation of Agentcore Evaluations

  • Implementation of AWS Bedrock

  • Implementation of AWS Bedrock Inference Profile

  • Implementation of AWS Sagemaker

  • AWS Services (Cloud) in General

  • Terraform 

Deliverables

Observability

  • Assess CloudWatch, X-Ray, Bedrock logging, AgentCore traces vs. agentic workflow requirements; produce gap analysis, Setup observability in Dynatrace

  • Design post-deployment validation pipeline for agents & MCP servers (deployment health + tool registration checks)

  • Implement distributed tracing & structured logging: LLM decisions, tool selections, sub-agent calls, MCP interactions

  • Evaluate LangFuse / LiteLLM proxy vs. AWS-native; deliver target-state observability architecture recommendation

Cost Tracking & TCO

  • Extend tagging taxonomy to cover agent runtimes, MCP servers, vector DBs, Bedrock token consumption per namespace

  • Design cost visibility model: aggregate agent, MCP, vector DB, and Bedrock token costs per team/department

  • Build CloudWatch (or equivalent) dashboards for per-team spend; configure AWS Budgets with alerting thresholds

  • Automate cost reports delivered via email / Microsoft Teams; implement anomaly detection rules

Monitoring & Alerting

  • Define P1โ€“P4 alerting rules: deployment failures, runtime errors, tool invocation failures, MCP connectivity issues

  • Integrate alert notifications to Microsoft Teams channels and email; route by resource ownership tags

  • Author runbooks linked to every alert; publish in Confluence for developer self-service resolution

  • Evaluate AWS-native vs. third-party monitoring stack; deliver recommendation aligned to observability architecture

Security & Access Control

  • Assess current IAM + tagging approach for multi-team isolation; identify scalability gaps and risks

  • Evaluate Cedar policy engine (AgentCore) for fine-grained tool access control; document enterprise-scale gaps

  • Design scalable ABAC-based identity model for multi-team isolation without IAM policy sprawl; deliver Terraform modules

Top Skills

Skill

Experience required

Platform Engineering / DevOps / SRE

8+ years

AWS Cloud Services

7+ years

Observability Tools

7+ years

AI/LLM Platforms

7+ years

Terraform / CI-CD

7+ years

Agile Collaboration

7+ years

Recruiter

Contact: Sameer - - Seven one nine - two three nine - Five five five five