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Sr Devops Engineer Jobs in Reading, PA (NOW HIRING)

Penn Technical Staffing

Sr. Electrical Engineer

Pottstown, PA · On-site

$104K - $136K/yr

A well-established engineering company located in Pottstown, PA is seeking a Senior Electrical Engineer to join their team. This person will responsible for the technical delivery of electrical ...

Penn Technical Staffing

Sr. Electrical Engineer

Pottstown, PA · On-site

$104K - $136K/yr

A well-established engineering company located in Pottstown, PA is seeking a Senior Electrical Engineer to join their team. This person will responsible for the technical delivery of electrical ...

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All JobsSr Devops Engineer JobsSr Devops Engineer Jobs in Reading, PA

Sr Devops Engineer information

See Reading, PA salary details

$68.2K

$142.3K

$189.2K

How much do sr devops engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for sr devops engineer in Reading, PA is $142,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,800.00 and $160,400.00 per year, depending on experience, location, and employer.

What is a Sr DevOps engineer?

Sr DevOps Engineers are senior-level professionals who bridge the gap between software development and IT operations. They are responsible for automating, streamlining, and optimizing the deployment, monitoring, and maintenance of applications and infrastructure. Their role typically involves implementing CI/CD pipelines, managing cloud resources, ensuring system reliability, and promoting a culture of collaboration across development and operations teams. With their advanced expertise, they often mentor junior engineers and drive best practices for security, scalability, and efficiency.

How does a Sr DevOps engineer typically collaborate with development and operations teams on a daily basis?

As a Sr DevOps Engineer, you'll work closely with both development and IT operations teams to streamline software delivery and infrastructure management. This often involves setting up CI/CD pipelines, automating deployments, and troubleshooting issues that span both application code and infrastructure. Strong communication skills are essential, as you'll facilitate cross-team discussions, recommend best practices, and help resolve any roadblocks that arise. Your role will also include mentoring junior engineers and ensuring that security and scalability standards are maintained across projects.

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

To thrive as a Sr DevOps Engineer, you need deep expertise in software development, systems administration, cloud platforms, and automation, often supported by a degree in computer science or a related field. Mastery of tools like Docker, Kubernetes, Jenkins, Terraform, and experience with AWS, Azure, or GCP, as well as certifications such as AWS Certified DevOps Engineer, are highly valued. Strong collaboration, problem-solving, and communication skills help you bridge the gap between development and operations teams. These skills ensure streamlined software delivery, system reliability, and efficient cross-functional teamwork, which are critical for business agility and scalability.

What is the difference between Sr Devops Engineer vs Devops Engineer?

AspectSr Devops EngineerDevops Engineer
Required CredentialsBachelor's degree in CS or related, often with certifications like AWS, Azure, or KubernetesBachelor's degree in CS or related, with similar certifications
Work EnvironmentSenior-level projects, mentoring, complex system architectureEntry to mid-level projects, supporting CI/CD pipelines and automation
Employer & Industry UsageTech companies, large enterprises, cloud service providersStartups, small to medium businesses, tech firms

The main difference between a Sr Devops Engineer and a Devops Engineer lies in experience, project complexity, and responsibilities. Sr Devops Engineers typically handle more complex systems, mentor junior staff, and lead initiatives, while Devops Engineers focus on supporting and implementing automation and deployment pipelines.

What are popular job titles related to Sr Devops Engineer jobs in Reading, PA?

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

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

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

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

Sr Devops Engineer jobs near you

AWS DevOps Engineer / AI Platform Engineer (Hybrid Onsite)

GSK Solutions Inc.

Sinking Spring, PA • On-site

$51.75 - $70.75/hr

Other

Posted yesterday

New

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 P1–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


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