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Senior Devops Engineer Jobs in Lancaster, SC (NOW HIRING)

Senior DevOps Engineer (AI Platform)

Fort Mill, SC ยท On-site

$114K - $146K/yr

Senior DevOps Engineer (AI Platform) Location: Fort Mill, SC (Hybrid - 3 Days Onsite) Job Type: Full-Time (FTE) Position Overview We are seeking a highly skilled Senior DevOps Engineer to join our ...

Senior Cloud DevOps Engineer

Charlotte, NC

$121K - $156K/yr

We are seeking a Senior DevOps Engineer with expertise in CI/CD pipelines, GitHub Actions, and cloud security . You will balance high-level architectural improvements with daily monitoring and ...

New

DevOps Engineer

Mineral Springs, NC

$47.25 - $64.75/hr

Actualmente tenemos un puesto vacante para un/a DevOps Engineer que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica dispuesta a empezar y crecer en un entorno multicultural, motivador ...

DevOps Engineer

Mineral Springs, NC ยท On-site

$47.25 - $64.75/hr

Actualmente tenemos un puesto vacante para un/a DevOps Engineer que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica dispuesta a empezar y crecer en un entorno multicultural, motivador ...

DevOps Engineer

Mineral Springs, NC

$47.25 - $64.75/hr

Buscamos un/a DevOps Engineer para construir y operar la plataforma de integracion y despliegue continuo (CI/CD) sobre la que se entrega el software del banco digital: GitHub como control de ...

DevOps Engineer (AWS)

Mineral Springs, NC ยท On-site

$47.25 - $64.75/hr

Actualmente tenemos un puesto vacante para un/a DevOps Engineer que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica con interes en seguir desarrollandose profesionalmente en un ...

Experience with SDLC concepts Experience with ITIL concepts Development certifications Qualifications 5+ years of experience in a similar environment 2+ years as a Senior Developer C#. ASP.NET, VB.

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Showing results 1-20

Senior Devops Engineer information

See Lancaster, SC salary details

$60.6K

$126.4K

$168K

How much do senior devops engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for senior devops engineer in Lancaster, SC is $126,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $142,400.00 per year, depending on experience, location, and employer.

What are some typical challenges Senior DevOps Engineers face when optimizing CI/CD pipelines, and how can they address them?

Senior DevOps Engineers often encounter challenges such as managing complex dependencies, ensuring pipeline reliability, and balancing speed with security. Addressing these issues involves implementing automated testing, using containerization tools like Docker to standardize environments, and collaborating closely with development and QA teams to quickly identify and resolve bottlenecks. Regularly reviewing and refining pipeline processes, as well as staying updated on the latest DevOps tools and best practices, can help maintain an efficient and secure deployment workflow.

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

To thrive as a Senior DevOps Engineer, you need deep expertise in software development, systems administration, automation, and cloud infrastructure, typically supported by a relevant degree and several years of hands-on experience. Proficiency with tools such as Docker, Kubernetes, Jenkins, Terraform, AWS/Azure/GCP, and CI/CD pipelines, along with certifications like AWS Certified DevOps Engineer, is common. Strong problem-solving, collaboration, and communication skills are essential for coordinating across development and operations teams. These skills and qualities are crucial for ensuring reliable, scalable, and efficient delivery of software in complex, fast-paced environments.

What are Senior DevOps Engineers?

Senior DevOps Engineers are experienced IT professionals who bridge the gap between software development and IT operations. They are responsible for automating processes, managing infrastructure, optimizing deployment pipelines, and ensuring system reliability and scalability. Their role often involves collaborating with developers, system administrators, and other stakeholders to streamline workflows, implement best practices, and enhance the speed and quality of software delivery. Senior DevOps Engineers typically have strong skills in cloud platforms, scripting, CI/CD tools, and monitoring solutions.

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

AspectSenior Devops EngineerDevops Engineer
Required CredentialsBachelor's degree in CS or related field, certifications like AWS, Azure, or DockerBachelor's degree in CS or related field, certifications like AWS, Docker, or Kubernetes
Work EnvironmentLead projects, mentor junior staff, design infrastructure solutionsImplement CI/CD pipelines, automate deployment, monitor systems
Employer & Industry UsageTech companies, startups, enterprises focusing on cloud and automationSame as Senior Devops Engineer, often entry to mid-level roles

The main difference between a Senior Devops Engineer and a Devops Engineer lies in experience, responsibilities, and leadership. Senior Devops Engineers typically lead projects, mentor teams, and design complex infrastructure, while Devops Engineers focus on implementing and maintaining automation and deployment pipelines. Both roles require similar certifications and are vital in cloud and automation environments.

What cities near Lancaster, SC are hiring for Senior Devops Engineer jobs? Cities near Lancaster, SC with the most Senior Devops Engineer job openings:
Infographic showing various Senior Devops Engineer job openings in Lancaster, SC as of July 2026, with employment types broken down into 82% Full Time, 11% Part Time, and 7% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $126,362 per year, or $60.8 per hour.

Senior DevOps Engineer (AI Platform)

Anveta Inc

Fort Mill, SC โ€ข On-site

$114K - $146K/yr

Other

Posted 24 days ago


Job description

Dear Candidate,

Below is the most urgent Fulltime - Direc Hire role.

If interested in the below role then please share your updated resume with expected yearly salary and a copy of your photo ID.
Job Title: Senior DevOps Engineer (AI Platform)
Location:
 Fort Mill, SC (Hybrid โ€“ 3 Days Onsite)
Job Type: Full-Time (FTE)

Position Overview

We are seeking a highly skilled Senior DevOps Engineer to join our engineering team in Fort Mill, SC. This is a hands-on role requiring deep expertise in AWS, Kubernetes, Terraform, Ansible, CI/CD, Infrastructure as Code (IaC), and cloud automation.

The ideal candidate will also have exposure to AI/ML infrastructure and experience supporting Generative AI or Agentic AI applications in production.

You will work closely with Software Engineering, Platform Engineering, AI/ML teams, and Cloud Architects to build scalable, secure, and highly available cloud infrastructure while driving automation and DevOps best practices.

Key Responsibilities

Cloud Infrastructure & Automation

  • Design, implement, and maintain highly available cloud infrastructure on AWS.
  • Build and manage Infrastructure as Code (IaC) using Terraform.
  • Automate infrastructure provisioning, configuration management, and deployments using Ansible.
  • Manage cloud networking, IAM, VPCs, Load Balancers, Auto Scaling Groups, Route53, S3, EKS, EC2, RDS, Lambda, CloudWatch, and related AWS services.
  • Optimize cloud environments for scalability, reliability, performance, and cost.

Kubernetes & Containerization

  • Deploy and manage containerized applications using Docker and Kubernetes (EKS preferred).
  • Configure Kubernetes deployments, services, ingress controllers, namespaces, ConfigMaps, Secrets, Helm Charts, and autoscaling.
  • Monitor cluster health and troubleshoot production issues.
  • Ensure high availability and disaster recovery strategies.

CI/CD & DevOps

  • Design and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Automate application deployments across development, QA, staging, and production environments.
  • Integrate security scanning, testing, and compliance into deployment pipelines.
  • Support blue-green deployments, canary releases, and rolling deployments.

AI/ML Platform Support

  • Support infrastructure for Generative AI and Agentic AI applications.
  • Deploy AI workloads using Kubernetes and cloud-native services.
  • Collaborate with AI/ML engineers to optimize GPU-enabled infrastructure.
  • Support AI model deployment, inference services, and scalable AI platforms.
  • Work with vector databases, AI APIs, or LLM-based applications (preferred).

Monitoring & Production Support

  • Implement monitoring and alerting using Prometheus, Grafana, CloudWatch, Datadog, ELK, or Splunk.
  • Troubleshoot production issues and perform root cause analysis.
  • Ensure system uptime, reliability, and performance.
  • Participate in production support and incident management.

Security & Best Practices

  • Implement IAM policies and cloud security best practices.
  • Ensure infrastructure complies with organizational security standards.
  • Manage secrets, certificates, and secure deployment practices.
  • Collaborate with Security and Infrastructure teams on governance and compliance initiatives.

Required Qualifications

  • Bachelor''s degree in Computer Science, Information Technology, or related field.
  • 7+ years of DevOps or Cloud Engineering experience.
  • Strong hands-on experience with AWS Cloud.
  • Extensive experience with Kubernetes (EKS preferred).
  • Strong expertise in Terraform for Infrastructure as Code.
  • Hands-on experience with Ansible for configuration management and automation.
  • Strong experience with Docker and container orchestration.
  • Experience building and maintaining CI/CD pipelines.
  • Strong Linux administration and troubleshooting skills.
  • Experience with Git, branching strategies, and version control.
  • Proficiency in scripting using Python and/or Shell (Bash).
  • Strong understanding of networking, DNS, SSL/TLS, IAM, security groups, and load balancing.
  • Excellent troubleshooting and production support experience.

Preferred Qualifications

  • Experience supporting Generative AI, LLM, or Agentic AI workloads.
  • Experience deploying AI/ML models into production.
  • Exposure to LangChain, OpenAI APIs, Hugging Face, Bedrock, Vertex AI, or Azure OpenAI.
  • Experience with GPU-enabled Kubernetes clusters.
  • Knowledge of MLOps concepts and AI infrastructure.
  • Experience with GitOps tools such as ArgoCD or FluxCD.
  • AWS Solutions Architect, AWS DevOps Engineer, CKA, CKAD, or Terraform certifications are a plus.