DevOps Engineer

About Incedo:

Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together.

With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast-growing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences.

Please visit the linke to know about Incedo:

We are seeking a highly skilled
Senior Dev Ops 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 Dev Ops best practices.

- 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, Route
53, S3, EKS, EC2, RDS, Lambda, Cloud Watch, and related AWS services.
- Optimize cloud environments for scalability, reliability, performance, and cost.

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

- Design and maintain CI/CD pipelines using
Jenkins, Git Hub Actions, Git Lab CI, or Azure Dev Ops
.
- 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.

- 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).

- Implement monitoring and alerting using
Prometheus, Grafana, Cloud Watch, 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.

• 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.

- Bachelor's degree in Computer Science, Information Technology, or related field.
- 7+ years
of Dev Ops 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…