1150 Control System Engineer jobs in Charlottesville,VA

The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).

Health, life, disability, financial, and retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.

2+ years of experience with AWS services and cloud-native architecture patterns such as EC2, Lambda, EKS, RDS, IAM policies, security groups, or network security

2+ years of experience with containerization such as Docker, Kubernetes, EKS, and container orchestration

Experience with PowerShell scripting for automation, system management, and reporting

Experience supporting patch management, software deployment, and system hardening activities

Knowledge of core networking concepts, including TCP/IP, DNS, firewalls, and VLANs

Knowledge of Linux and working with Linux-based environments

Secret clearance

Bachelor's degree in Engineering or Computer Science

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Experience with DevOps Monitoring such as CloudWatch or Prometheus, logging, and alerting

Experience with bash or Python scripting and CI/CD tools and practices

Experience with Infrastructure as Code such as Terraform

Experience in security scanning tools and DevSecOps practices such as SonarQube or Trivy

TS/SCI clearance

Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 60 days of hire date

A competitive salary

USD $68,000.00 - USD $85,000.00 /Yr.

Medical, dental, vision, life, and disability insurance

Paid time off

Tuition reimbursement

401k Retirement Plan

Military Reserve pay offset

Paid maternity leave

1+ years of experience in manufacturing with Bachelor of Science degree in Engineering

Ability to travel up to 10%.

Be willing to make trips to M.C. Dean's corporate office in Tysons Corner, VA.

Exposure to computer screens for an extended period of time.

Sitting for extended periods of time.

Reach by extending hands or arms in any direction.

Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard.

Listen to and understand information and ideas presented through spoken words and sentences.

Read and understand information and ideas presented in writing.

Identify and understand the speech of another person.

Preferably from an ABET accredited program

Position level 2 $60,000 and $92,000

Position level 3 $79,000 and $120,000

87390-120837 Yearly Salary

AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave).

Medical, dental and vision plans are effective on the first day of employment.

AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions.

You have a bachelor's degree in computer science, software engineering, systems engineering, physical science, electrical engineering, or a related field, or equivalent work experience.

At least five years of experience in systems engineering on integrated project teams

Experience working closely with Agile software teams (such as Scrum or Kanban), and a solid understanding of how large software systems are designed, built, tested and deployed.

Experience applying core systems engineering practices to software systems, such as requirements capture and traceability, interface definition, and verification and validation.

Experience working across a project lifecycle, from design through integration, testing and transition to operations.

Observatory employees must be authorized to work in the United States.

Preferably in scientific R&D; environments.

Exposure to scientific, telescope or control software, distributed systems, data processing pipelines or signal processing is a plus.

Familiarity with MBSE or software modeling methods and tools is a plus.