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Devops Engineer Remote Jobs in Garner, NC (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... CD, and operational readiness/monitoring). * Apply agentic, AI-assisted coding practices to ...

Abrigo

Senior Cloud Database Operations Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

This position will be located at our office in Raleigh, NC, Austin, TX, or remote. Occasional ... Automation & DevOps:PowerShell, Python, Bash, GitHub Actions, Terraform, CloudFormation and Docker

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... CD, and operational readiness/monitoring). * Apply agentic, AI-assisted coding practices to ...

EnerSys

Application Security Engineer (REMOTE)

Raleigh, NC · Remote

$117K - $146K/yr

... DevOps teams, and security professionals to embed security into the full software development lifecycle. Collaborate within an expanding Cybersecurity team, and work closely with internal EnerSys ...

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Devops Engineer Remote information

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How much do devops engineer remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for devops engineer remote in Garner, NC is $53.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $61.92 per hour, depending on experience, location, and employer.

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

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

What is a remote DevOps engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What is a remote DevOps engineer?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to become a remote DevOps engineer?

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

More about Devops Engineer Remote jobs
What cities near Garner, NC are hiring for Devops Engineer Remote jobs? Cities near Garner, NC with the most Devops Engineer Remote job openings:
Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Garner, NC as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $112,232 per year, or $54 per hour.

Manager, Data Engineer (Remote)

Archgroup

Raleigh, NC • Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.

You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.

Responsibilities

  • Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities anddeliverdata-related goals.

  • Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.

  • Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

Data Engineering

  • Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets

  • Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness

  • Insurance data modelingforanalytics and actuarial-ready data structures

  • MLOpsfamiliarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership &Operating Model

  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills

  • 6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience

  • Hands-on Databricks experience highly preferred

Education

  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$100,500 - $174,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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