Senior DevOps Engineer: Cloud, Kubernetes & Big Data

Huntington Ingalls Industries, Inc.; Columbia (MD); Hybrid; USD 115,000 - 150,000; Full time

Benefits offered by this job

100% paid employee premium for health,

10% 401k benefit.

Generous PTO + 10 paid holidays

Education/training allowances

Job summary

Enlighten is seeking a highly motivated DevOps Engineer to join our fast-paced development team. The 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, with a Big Data background.

The role is in a hybrid environment (on average 1–2 days a week) with a collaborative team and opportunities to innovate in cloud infrastructure and

Qualifications

• 5+ years of DevOps Engineering or Software Development with a Bachelor’s degree in related field.
• 3 years relevant experience with a Master’s degree in related field.
• 9 years relevant experience with a High School Diploma or equivalent.

Responsibilities

• Support development and deployment of cloud infrastructure in AWS, especially EKS.
• Support development and deployment of on‑premise and portable Edge infrastructure.
• Automate deployment processes and ensure reliability and scalability of services.
• Manage Kubernetes containers and cloud infrastructure on AWS.
• Collaborate with development teams to integrate applications into the infrastructure.
• Monitor and troubleshoot production systems and resolve issues.

Skills

Kubernetes

AWS

Python

Bash

Go

Git

Ansible

Terraform

Flux

Linux

Agile

Education

Bachelor’s degree in related field

Master’s degree in related field

High School Diploma or equivalent with 9 years experience

Tools

Kubernetes

AWS (EKS, EC2, S3)

Terraform

Ansible

Git

Job description

Enlighten is seeking a highly motivated DevOps Engineer to join our fast-paced development team. The 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, with a Big Data background.

The role is in a hybrid environment (on average 1–2 days a week) with a collaborative team and opportunities to innovate in cloud infrastructure and