DevOps Engineer at iamusconsulting

Compensation

$123,000 – $161,000/yr

Setup: Remote, Hybrid
Location: Columbia, Maryland
Type: Full-time
Level: not_specified
Posted: Aug 21, 2026

Description

IAMUS Consulting is looking for a highly motivated and experienced DevOps Engineer to join their fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of services.

Required Skills

Kubernetes
Container Orchestration
Configuration Management
CI/CD
Automation
AWS
Linux systems administration
Bash scripting
Python programming
Big Data solutions
Terraform
Ansible
Git
Flux
Go
Linux

Additional Information

Required Previous Experiences: 5+ years of experience in DevOps Engineering or Software Development
Strong knowledge of Kubernetes or other container orchestration platforms.
Strong knowledge of AWS services (EKS, EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure.
Proficient in configuration management tools such as Terraform and Ansible.
Experience with application, container, and OS deployment, scaling, and management.
Ability to develop in multiple programming languages such as Python, Bash, or Go.
Familiarity with Git, Flux, and other development and deployment tools.
Must be comfortable in a terminal-based environment.
Proficient knowledge of Linux, including system administration and troubleshooting.
Excellent problem-solving skills and the ability to identify and troubleshoot complex issues.
Understanding of AGILE software development methodologies and use of standard software development tool suites.
Preferred Qualifications: TS/SCI level clearance is a strong plus.
Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
Experience with K9s, AWS CLI and other AWS services like SNS, SQS and Diode is a plus.