AWS Devops Cloud Engineer

Marlabs Inc.; Indianapolis, Northern (IN, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Marlabs Inc. in Indianapolis, IN is seeking an AWS DevOps Cloud Engineer to join our hybrid team. You will deploy applications across AWS, build automated release processes, and collaborate with SRE, data, and infra teams to support scalable cloud operations.

Responsibilities include developing CI/CD pipelines, implementing IaC with Terraform or CDK, managing Databricks and data lake environments, and ensuring platform reliability through monitoring and automation.

Qualifications

• Hands-on experience with AWS services including EKS, ECR, EC2, Lambda, S3, IAM, VPC, Route53, and RDS.
• Experience building CI/CD pipelines and deployment automation.
• Strong knowledge of Infrastructure as Code (Terraform, CloudFormation, and/or CDK).
• Experience with container technologies Docker, Kubernetes, ECS, and EKS.
• Experience supporting Databricks, Spark, data lake, Redshift, or other cloud-based analytics platforms.
• Strong production support, troubleshooting, and scripting skills using Python, Bash, or similar technologies.

Responsibilities

• Execute and support application deployments across AWS environments, ensuring reliable and repeatable release processes.
• Develop, maintain, and optimize CI/CD pipelines, deployment automation, and Infrastructure as Code (Terraform, CloudFormation, CDK).
• Support and troubleshoot AWS cloud infrastructure, application deployments, and production issues, serving as an escalation point for complex incidents.
• Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments.
• Monitor platform health, performance, security, and operational stability while driving continuous improvements and automation.

Skills

AWS services

CI/CD pipelines

Infrastructure as Code

Docker

Kubernetes

ECS

EKS

Databricks

Spark

Redshift

Data lake

Python

Bash

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled AWS DevOps Cloud Engineer to join our innovative and dynamic team.

Location

Hybrid in Indianapolis, IN (3 days/week onsite)

AWS DevOps Cloud Engineer | About You

As an AWS DevOps Cloud Engineer, you are responsible for executing and supporting application deployments across AWS environments while ensuring reliable, automated, and scalable release processes. You will work closely with application, SRE, infrastructure, and data platform teams to support cloud operations, CI/CD automation, production stability, and analytics platforms.

AWS DevOps Cloud Engineer | Day-to-Day

• Execute and support application deployments across AWS environments, ensuring reliable and repeatable release processes.
• Develop, maintain, and optimize CI/CD pipelines, deployment automation, and Infrastructure as Code (Terraform, CloudFormation, CDK).
• Support and troubleshoot AWS cloud infrastructure, application deployments, and production issues, serving as an escalation point for complex incidents.
• Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments.
• Monitor platform health, performance, security, and operational stability while driving continuous improvements and automation.

AWS DevOps Cloud Engineer | Skills & Experience

• Hands-on experience with AWS services including EKS, ECR, EC2, Lambda, S3, IAM, VPC, Route53, and RDS.
• Experience building and supporting CI/CD pipelines and deployment automation.
• Strong knowledge of Infrastructure as Code (Terraform, CloudFormation, and/or CDK).
• Experience with container technologies such as Docker, Kubernetes, ECS, and EKS.
• Experience supporting Databricks, Spark, data lake, Redshift, or other cloud-based analytics platforms.
• Strong production support, troubleshooting, and scripting skills using Python, Bash, or similar technologies.