Computer Software Engineer

Saalex•Ridgecrest, CA

4h•$100,000 - $150,000•Remote

About The Position

This role supports enterprise modernization and software engineering initiatives focused on improving operational reliability, scalability, automation, cloud adoption, and software delivery capabilities across critical business systems and services. We are seeking a Computer Software Engineer to support the design, development, modernization, and operational sustainment of enterprise software platforms and cloud-based services. This role will focus on front-end and back-end application development, API engineering, cloud platform integration, CI/CD pipeline management, and modern software delivery practices. The ideal candidate has experience building enterprise-grade applications, modernizing legacy systems, supporting cloud-based infrastructure, and contributing across the full software development lifecycle.

Requirements

3+ years of professional software engineering experience developing enterprise or production-grade applications.
Experience developing front-end applications using modern JavaScript frameworks such as React, Angular, or Vue.
Experience developing backend services and APIs using technologies such as Python, Java, or Node.js.
Experience working with RESTful APIs, distributed services, and microservice-based architectures.
Experience with SQL and relational database systems.
Experience with CI/CD pipeline development and automated deployment workflows.
Experience with containerization technologies such as Docker and container orchestration platforms.
Experience working with cloud platforms such as AWS or Azure.
Ability to obtain and maintain a U.S. Government security clearance and support Department of War teams.
Strong troubleshooting, debugging, and problem-solving skills.
Experience using source control systems such as Git.
Strong communication and collaboration skills in a team-oriented engineering environment.

Nice To Haves

Experience modernizing legacy enterprise applications into cloud-native architectures.
Experience with AWS-native logging and monitoring services such as CloudWatch.
Familiarity with additional observability platforms such as ELK, Splunk, Grafana, or Prometheus.
Experience collaborating with data science teams to operationalize models and analytics pipelines.
Experience supporting highly available production systems and operational infrastructure.
Experience working in regulated, enterprise, or government environments.
Familiarity with Agile/Scrum software development methodologies.
Experience supporting scalable distributed systems and platform reliability initiatives.
Strong ownership mindset and ability to independently drive technical solutions.
Passion for software engineering, automation, DevOps, and platform modernization.
Ability to operate in fast-paced engineering environments with evolving technical requirements.
Strong analytical and systems-thinking capabilities.
Ability to balance operational reliability, scalability, maintainability, and delivery timelines.

Responsibilities

Design, develop, and maintain user-facing applications and interfaces using modern front-end frameworks and technologies.
Build and maintain back-end services, APIs, and microservices using technologies such as Python, Java, Node.js, or similar frameworks.
Modernize legacy applications and services into scalable cloud-native or containerized architectures.
Develop integrations between enterprise applications, databases, and third-party services.
Build and maintain CI/CD pipelines supporting automated build, testing, deployment, and operational monitoring across multiple environments.
Support cloud infrastructure deployments and operational workflows across AWS, Azure, or hybrid enterprise environments.
Collaborate with data scientists in the development of advanced modeling technologies and systems.
Write clean, maintainable, secure, and well-documented code following software engineering best practices.
Participate in troubleshooting, root-cause analysis, and production support activities for operational systems.
Collaborate with cross-functional engineering, DevOps, cybersecurity, and infrastructure teams to support platform modernization initiatives.
Participate in Agile/Scrum development activities including sprint planning, technical reviews, code reviews, and backlog refinement.