Software Engineer [$284k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$284,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Testing (Software) Clean Code Principles Application Lifecycle Management Continuous Delivery Continuous Integration Software Debugging Linux DevOps Python (Programming Language) Linux System Administration Systems Development Life Cycle Delivery Pipeline

+6 more

Kubernetes Helm Charts Git Kubernetes Infrastructure Automation Frameworks Software Coding Docker

Job description

Implement containerized application workflows and infrastructure automation using advanced DevOps and cloud-native tooling.
Develop and manage robust deployment pipelines and Helm charts for application orchestration.
Facilitate seamless service integration across various development and operations teams.
Leverage expertise in Kubernetes tooling, GitOps workflows, and continuous integration/continuous deployment (CI/CD) pipelines.
Apply strong coding skills in Go and Python for system development and automation.
Possess deep understanding and practical experience with infrastructure-as-code principles and Linux system operations.
Expertly debug and resolve complex issues within containerized environments., * Design, implement, and maintain containerized application workflows and infrastructure automation using DevOps practices.
Develop, test, and deploy robust deployment pipelines and Helm charts for Kubernetes environments.
Integrate services and systems across multiple teams, ensuring compatibility and seamless functionality.
Utilize and manage Kubernetes tooling for container orchestration and resource management.
Implement and maintain GitOps workflows for declarative infrastructure and application management.
Develop and optimize CI/CD pipelines to automate software delivery and deployment.
Write high-quality, maintainable code in Go and Python for system development and automation scripts.
Apply infrastructure-as-code principles to manage and provision system resources effectively.
Perform advanced Linux system administration, operations, and troubleshooting.
Debug and resolve complex issues within containerized application environments.
Leverage Docker for containerization and Git for version control.
Conduct software testing to ensure the reliability and performance of deployed solutions.
Develop and implement workflow automation solutions to improve operational efficiency.