ZipRecruiter

Log In

1

Customer Reliability Engineer Jobs in Raleigh, NC

Deloitte

Agentic Delivery Senior Engineer

Raleigh, NC · On-site

$101.60K - $139.50K/yr

Our Deloitte Customer team empowers organizations to build deeper relationships with customers ... DevOps, SRE, or related SDLC delivery roles * 1+ years of experience delivering production ...

Everpure

Technical Services Engineer - Portworx

Raleigh, NC · On-site

$122K - $183K/yr

Collaborating closely with Engineering and Product teams, you will champion the customer voice to drive product reliability and innovation in the Kubernetes ecosystem. WHAT YOU'LL DO * Optimize Cloud ...

Truist

APM Lead

Raleigh, NC

$39.90K - $50.50K/yr

You will influence architectural decisions across application, platform, SRE, and cloud teams ... Success in this position means measurably improving application performance, reducing customer ...

Deloitte

Lead ServiceNow Software Engineer

Raleigh, NC · On-site

Responsibilities : • Embrace and drive a culture of accountability for customer and business ... SRE, ADO, GitHub, and SonarQube to rapidly deliver high-quality solutions, as well as familiarity ...

Prometheus Group

DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

Our drive and dedication to creating great products for our global customers are at the heart of ... Build software, tools, and processes to allow our deployment and site reliability engineers to move ...

ENFOS, Inc.

Devops System Engineer

Durham, NC

Ensure system reliability and availability: Maintain critical production services with a focus on ... customer and business needs. * Influence infrastructure architecture and standards: Contribute to ...

ENFOS, Inc.

Devops System Engineer

Durham, NC · On-site

Ensure system reliability and availability: Maintain critical production services with a focus on ... customer and business needs. * Influence infrastructure architecture and standards: Contribute to ...

ENFOS, Inc.

Devops System Engineer

Durham, NC · On-site

Ensure system reliability and availability: Maintain critical production services with a focus on ... customer and business needs. * Influence infrastructure architecture and standards: Contribute to ...

Prometheus Group

DevOps Engineer

Raleigh, NC

$51.25 - $70.25/hr

Our drive and dedication to creating great products for our global customers are at the heart of ... Build software, tools, and processes to allow our deployment and site reliability engineers to move ...

Prometheus Group

DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

Our drive and dedication to creating great products for our global customers are at the heart of ... Build software, tools, and processes to allow our deployment and site reliability engineers to move ...

Redhat

Sr Principal Software Engineer (Azure)

Raleigh, NC · On-site +1

$193.39K - $318.98K/yr

Work with Red Hat's Global Customer Support team and partner support teams on resolving customer ... Background in SRE or Production Engineering for a global, 24/7 SaaS or managed service. #LI-EK1 The ...

GridBridge

Power Electronics System Design Engineer

Raleigh, NC · On-site

$96.20K - $113.80K/yr

... CSA), customer specifications, and critical safety, reliability, and resiliency requirements ... Prepare and maintain detailed engineering documentation, including design specifications, system ...

Nvidia

Senior HPC and LSF Operations Engineer

Durham, NC · Hybrid

$101K - $138.20K/yr

... engineering demands. What you'll be doing: * Manage, scale, and optimize job scheduling systems ... reliability, partnering with customers to ensure expectations are realistic and measurable

next page

Showing results 1-20

People also search for

All JobsCustomer Reliability Engineer JobsCustomer Reliability Engineer Jobs in Raleigh, NC

Customer Reliability Engineer information

See Raleigh, NC salary details

$59.3K

$114.7K

$137.1K

How much do customer reliability engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for customer reliability engineer in Raleigh, NC is $114,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $125,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Customer Reliability Engineer, you need a solid background in systems engineering, incident management, and troubleshooting, often supported by a degree in computer science or related field. Familiarity with cloud platforms (such as AWS or GCP), monitoring tools (like Datadog or Prometheus), and automation scripts is typically required. Exceptional communication, problem-solving abilities, and a customer-centric mindset are vital soft skills for this role. These skills ensure efficient incident resolution, strong client relationships, and reliable system performance under pressure.

How does a Customer Reliability Engineer typically interact with both clients and internal engineering teams?

Customer Reliability Engineers serve as a vital bridge between clients and internal technical teams. They regularly communicate with customers to understand their needs, troubleshoot issues, and provide technical guidance. Internally, they collaborate closely with product, support, and development teams to relay customer feedback, help prioritize reliability improvements, and ensure seamless incident resolution. This cross-functional role requires strong communication skills and the ability to translate technical information for different audiences, making every day varied and impactful.

What is a Customer Reliability Engineer?

A Customer Reliability Engineer (CRE) is a technical professional who works closely with customers to ensure the reliability, performance, and uptime of software products and services. CREs act as a bridge between customers and engineering teams, helping to identify, troubleshoot, and resolve reliability issues. They often collaborate with multiple departments to implement best practices, monitor systems, and proactively address potential problems, ultimately aiming to improve the overall customer experience.

What is the difference between Customer Reliability Engineer vs Site Reliability Engineer?

AspectCustomer Reliability EngineerSite Reliability Engineer
CredentialsTypically requires engineering degrees, certifications in cloud platforms (AWS, Azure), and knowledge of customer supportRequires engineering degrees, certifications in cloud and systems management, with a focus on infrastructure
Work EnvironmentCustomer-facing, involves direct interaction with clients to resolve issues and improve reliabilityPrimarily internal, focused on maintaining and improving system reliability and scalability
Employer & Industry UsageUsed by cloud service providers and tech companies with a customer support componentCommon in large tech companies managing large-scale infrastructure and services

The main difference is that Customer Reliability Engineers focus on ensuring customer satisfaction and resolving client-specific issues, while Site Reliability Engineers concentrate on internal system stability and scalability. Both roles require technical expertise and cloud knowledge but serve different operational needs.

What are popular job titles related to Customer Reliability Engineer jobs in Raleigh, NC? For Customer Reliability Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Customer Reliability Engineer jobs in Raleigh, NC look for? The top searched job categories for Customer Reliability Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Customer Reliability Engineer jobs? Cities near Raleigh, NC with the most Customer Reliability Engineer job openings:
Customer Reliability Engineer jobs near you
Agentic Delivery Senior Engineer

Agentic Delivery Senior Engineer

Deloitte

Raleigh, NC • On-site

$101.60K - $139.50K/yr

Other

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 5/29/2026

Work You'll Do

The Agentic Delivery Senior Engineer will lead delivery workstreams using AI-assisted and multi-agent development approaches across the software development lifecycle. This role is responsible for orchestrating agent-enabled workflows, coordinating cross-functional execution, and validating that outputs meet quality, architecture, compliance, and deployment-readiness expectations. The ideal candidate brings deep SDLC experience, strong technical judgment, and the ability to lead teams through complex delivery while improving the effectiveness of AI-enabled engineering practices.

You will also:
  • Lead the decomposition of business and technical requirements into structured workflows, prompts, tasks, and checkpoints for multi-agent SDLC delivery
  • Coordinate end-to-end execution across architecture, engineering, QA, UX, product, and technical writing contributors to maintain cross-agent and cross-team consistency
  • Drive quality and delivery outcomes across requirements, code, testing, compliance, and release readiness
  • Review and validate agent-generated outputs using human-in-the-loop quality checkpoints and technical judgment
  • Lead issue resolution across upstream and downstream delivery dependencies, including integration, testing, and production-readiness concerns
  • Establish and reinforce standards for code quality, technical documentation, testing rigor, and delivery governance in AI-assisted workflows
  • Coach junior practitioners in prompt engineering, engineering quality, delivery methods, and technical review practices
  • Identify and implement process improvements that increase delivery speed, quality, repeatability, or control across agent-enabled engineering workflows

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical field
  • 4+ years of experience in software engineering, architecture, quality engineering, DevOps, SRE, or related SDLC delivery roles
  • 1+ years of experience delivering production, operational, or client-facing technology solutions in complex delivery environments
  • 1+ years of experience translating business requirements into technical designs, delivery plans, and execution checkpoints across multiple stakeholders
  • 1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools in professional or project settings
  • 1+ years of experience reviewing and validating work produced by others, including code reviews, design reviews, test reviews, or release-readiness reviews
  • Experience leading at least one workstream, team, or end-to-end solution component from requirements through implementation
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred: 

  • Experience working with at least one major cloud platform, such as AWS, Azure, or GCP
  • Experience using one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable tools
  • Experience applying at least two MLOps or AI delivery practices such as deployment pipelines, monitoring, experiment tracking, model governance, or containerization
  • Experience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architectures
  • Experience using BI, reporting, or visualization tools to support adoption, operational visibility, or business insight generation
  • Experience coaching junior team members and reviewing technical deliverables for quality, accuracy, and completeness
  • Familiarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controls
  • Experience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communication
  • Strong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiences
  • Government consulting experience

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 5/29/2026

Work You'll Do

The Agentic Delivery Senior Engineer will lead delivery workstreams using AI-assisted and multi-agent development approaches across the software development lifecycle. This role is responsible for orchestrating agent-enabled workflows, coordinating cross-functional execution, and validating that outputs meet quality, architecture, compliance, and deployment-readiness expectations. The ideal candidate brings deep SDLC experience, strong technical judgment, and the ability to lead teams through complex delivery while improving the effectiveness of AI-enabled engineering practices.

You will also:
  • Lead the decomposition of business and technical requirements into structured workflows, prompts, tasks, and checkpoints for multi-agent SDLC delivery
  • Coordinate end-to-end execution across architecture, engineering, QA, UX, product, and technical writing contributors to maintain cross-agent and cross-team consistency
  • Drive quality and delivery outcomes across requirements, code, testing, compliance, and release readiness
  • Review and validate agent-generated outputs using human-in-the-loop quality checkpoints and technical judgment
  • Lead issue resolution across upstream and downstream delivery dependencies, including integration, testing, and production-readiness concerns
  • Establish and reinforce standards for code quality, technical documentation, testing rigor, and delivery governance in AI-assisted workflows
  • Coach junior practitioners in prompt engineering, engineering quality, delivery methods, and technical review practices
  • Identify and implement process improvements that increase delivery speed, quality, repeatability, or control across agent-enabled engineering workflows

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical field
  • 4+ years of experience in software engineering, architecture, quality engineering, DevOps, SRE, or related SDLC delivery roles
  • 1+ years of experience delivering production, operational, or client-facing technology solutions in complex delivery environments
  • 1+ years of experience translating business requirements into technical designs, delivery plans, and execution checkpoints across multiple stakeholders
  • 1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools in professional or project settings
  • 1+ years of experience reviewing and validating work produced by others, including code reviews, design reviews, test reviews, or release-readiness reviews
  • Experience leading at least one workstream, team, or end-to-end solution component from requirements through implementation
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred: 

  • Experience working with at least one major cloud platform, such as AWS, Azure, or GCP
  • Experience using one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable tools
  • Experience applying at least two MLOps or AI delivery practices such as deployment pipelines, monitoring, experiment tracking, model governance, or containerization
  • Experience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architectures
  • Experience using BI, reporting, or visualization tools to support adoption, operational visibility, or business insight generation
  • Experience coaching junior team members and reviewing technical deliverables for quality, accuracy, and completeness
  • Familiarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controls
  • Experience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communication
  • Strong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiences
  • Government consulting experience

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply