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Digital Operations Engineer Jobs in Raleigh, NC (NOW HIRING)

Pwc

Digital Assets Crypto/Blockchain Director

Raleigh, NC · On-site

$155K - $410K/yr

... Digital Assets Crypto/Blockchain Director, you will set the strategic direction for clients ... engineering, banking, payments, and operations expertise, while identifying market opportunities ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

This leadership role lives within the Digital Operations organization with responsibility for ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

McGough

Manager, Data Science

Raleigh, NC · On-site

This leadership role lives within the Digital Operations organization with responsibility for ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

Veradigm

Manager, Digital Customer Success

Raleigh, NC · On-site

Partner with IT and operations to configure, maintain, and improve tooling, integrations, and ... Partner with Marketing on customer communications, content strategy, and event programming that ...

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All JobsDigital Operations Engineer JobsDigital Operations Engineer Jobs in Raleigh, NC

Digital Operations Engineer information

See Raleigh, NC salary details

$35K

$82.7K

$131.2K

How much do digital operations engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for digital operations engineer in Raleigh, NC is $82,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $91,400.00 per year, depending on experience, location, and employer.

What is a digital operations engineer?

A Digital Operations Engineer is a professional responsible for managing, optimizing, and automating the digital systems and processes within an organization. They ensure that digital platforms, applications, and infrastructure operate efficiently and reliably. Their role often includes monitoring system performance, troubleshooting issues, deploying updates, and working with IT and development teams to streamline digital workflows. Digital Operations Engineers play a key part in supporting digital transformation initiatives and maintaining high service availability.

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

To thrive as a Digital Operations Engineer, you need a solid background in IT systems, network management, and troubleshooting, often supported by a degree in computer science or related fields. Familiarity with automation tools (such as Ansible or Jenkins), cloud platforms (like AWS or Azure), and monitoring systems (such as Nagios or Splunk) is typically required, along with relevant certifications like AWS Certified Solutions Architect or CompTIA Network+. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure seamless digital operations, minimize downtime, and support business continuity in fast-paced technical environments.

What are some common challenges faced by digital operations engineers, and how can they be addressed?

Digital Operations Engineers often encounter challenges such as managing complex, distributed systems and responding to incidents in real time. Keeping up with rapidly evolving technologies and ensuring seamless integration between various platforms can also be demanding. To address these challenges, it’s important to maintain clear communication with cross-functional teams, utilize robust monitoring and automation tools, and continuously invest in professional development. Establishing effective incident response protocols and documenting operational processes can further help streamline workflows and minimize downtime.

What is the difference between Digital Operations Engineer vs Network Operations Engineer?

AspectDigital Operations EngineerNetwork Operations Engineer
CredentialsBachelor's in IT, Computer Science, or related field; certifications like Cisco CCNA, CompTIA Network+Bachelor's in Networking, IT, or related; certifications like Cisco CCNA, CompTIA Network+
Work EnvironmentData centers, cloud platforms, digital service environmentsNetwork infrastructure, data centers, enterprise networks
Industry UsageTech companies, cloud providers, digital service firmsTelecommunications, ISPs, large enterprises
Job FocusManaging digital systems, cloud operations, automationMaintaining and troubleshooting network infrastructure

Both roles require networking certifications and involve working in technical environments. Digital Operations Engineers focus on digital systems and cloud platforms, while Network Operations Engineers specialize in network infrastructure. The roles often overlap but differ mainly in their core focus areas and environments.

Is digital operations engineering in demand?

Digital operations engineering is in high demand as organizations increasingly rely on automation, cloud platforms, and data management to optimize business processes. Professionals with skills in cloud computing, scripting, and system integration are sought after across various industries, including technology, finance, and healthcare.

What are popular job titles related to Digital Operations Engineer jobs in Raleigh, NC?

For Digital Operations Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Digital Operations Engineer jobs in Raleigh, NC look for?

The top searched job categories for Digital Operations Engineer jobs in Raleigh, NC are:

Digital Operations Engineer jobs near you
Infographic showing various Digital Operations Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,655 per year, or $39.7 per hour.

Digital Marketing & AI Enablement Intern

Raleigh, NC • On-site

G&S Business Communications
Public Relations Agencies • 51 - 200 employees
Learn more about G&S Business Communicationsexternal

Part-time, Internship

Re-posted 4 days ago

Job description

The Digital Marketing & AI Enablement Intern supports the development and execution of digital marketing programs and AI-powered solutions for clients and internal teams. This role combines traditional digital marketing responsibilities with emerging technology initiatives, including content development, social media management, analytics, AI agent support, workflow automation, and process documentation. The intern will gain practical experience working across marketing, technology, and operations while helping deliver innovative solutions that improve client outcomes, operational efficiency, and business performance. This is a fall, part-time opportunity.

Responsibilities:

Other responsibilities may be assigned.

  • Support digital marketing campaigns across web, email, social media, and other content channels under team guidance.
  • Draft, schedule, and publish approved social content using tools like Monday.com, HubSpot, Hootsuite, Mailchimp, Pardot, Marketing Cloud, Emplify or Sprout.
  • Assist with website content updates, page edits, UTM creation, QR code generation, image uploads, and basic formatting in CMS platforms.
  • QA web pages for broken links, typos, mobile responsiveness, accessibility basics, and brand consistency.
  • Monitor social channels for trends, engagement opportunities, and audience questions; escalate responses when needed.
  • Assist with email list maintenance, basic segmentation, campaign setup, and QA testing.
  • Pull basic performance metrics and help prepare campaign reports.
  • Research digital trends, competitor activity, hashtags, keywords, and content ideas.
  • Help organize assets, documentation, and content inventories.
  • Pull basic performance metrics and help prepare campaign reports from tools like Google Analytics, HubSpot, or similar platforms.
  • Collaborate with developers, designers, and digital team members to meet deadlines and support client deliverables.
  • Assists in the design, configuration, testing, and optimization of AI agents by supporting workflow development, prompt creation, data organization, and performance evaluation to help deliver effective AI-powered solutions.
  • Help document agent logic, automation flows, and operational procedures.
  • Research emerging AI tools, models, and automation capabilities.
  • Work with operational and client teams to identify AI enablement and automation opportunities.

Skills/Qualifications:

  • Current student or recent graduate pursuing computer science, information systems, marketing, communications, advertising, digital media, or a related field.
  • Foundational understanding of digital marketing, social media, email marketing, and content creation.
  • Foundational understanding of AI concepts, including large language models (LLMs), prompt engineering, automation workflows, and agent-based systems.
  • Familiarity with AI development or automation tools such as OpenAI, Microsoft Copilot, Zapier, Make, Power Automate, or similar low-code/no-code platforms.
  • Understanding of workflow logic, API integrations, or system-to-system communication concepts.
  • Familiarity with LinkedIn, Instagram, Facebook, X/Twitter, YouTube, and emerging social platforms.
  • Basic familiarity with HTML, CSS, CMS platforms, Java, and website structure.
  • Interest in UX, accessibility, GEO/SEO, analytics, and digital content best practices.
  • Comfortable learning web tools, plugins, marketing and analytics platforms, and project management systems.
  • Strong writing, editing, organization, and communication skills.
  • Detail-oriented, curious, collaborative, and able to manage assigned tasks in a hybrid work environment.
  • Ability to collaborate effectively with technical and non-technical team members.
  • Basic understanding of cybersecurity principles, access control, and data protection best practices.
  • Strong analytical and problem-solving skills with the ability to think logically through technical challenges.
  • Ability to document technical processes clearly and accurately.
  • Interest in AI enablement within business environments, including internal operations and client-facing applications, and eagerness to experiment responsibly with emerging AI and automation technologies.

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