Orbital AI

Site Reliability Engineer

• As a Senior DevSecOps Engineer, you will play a crucial role in integrating security practices into the DevOps pipeline. You will be responsible for designing, implementing, and managing infrastructure and security processes that ensure our applications are secure, scalable, and highly available. You will work closely with development, operations, and security teams to automate and streamline our operations and processes.\n• Key Responsibilities:\n• Design and implement security controls and processes in the CI/CD pipeline.\n• Develop and maintain infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or similar.\n• Manage and optimize AWS environments, ensuring high availability and scalability.\n• Implement and manage container orchestration using Docker, Kubernetes, and EKS.\n• Develop and maintain scripts and automation tools using Python.\n• Conduct security assessments and vulnerability management.\n• Collaborate with development teams to ensure security best practices are integrated into the software development lifecycle.\n• Monitor and respond to security incidents and threats.\n• Perform regular audits and compliance checks to ensure adherence to security policies.\n• Mentor and guide junior DevSecOps engineers.\n• Required Skills and Experience:\n• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.\n• Minimum of 5 years of experience in a DevSecOps or similar role.\n• Strong experience with AWS services and architecture.\n• Proficiency in using GitLab for source control and CI/CD pipelines.\n• Hands-on experience with Docker, Kubernetes, and EKS.\n• Strong scripting skills in Python.\n• Solid understanding of security principles and best practices.\n• Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.\n• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).\n• Excellent problem-solving skills and attention to detail.\n• Strong communication and collaboration skills.\n• Active TS/SCI clearance\n• Preferred Qualifications:\n• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).\n• Familiarity with IL 6/7 Environments

Senior DevSecOps Engineer, Cleared

Analyst

• Orbital Insight, a wholly owned subsidiary of Privateer Space, Inc., leverages geospatial data and artificial intelligence to provide critical insights across a variety of sectors and applications.
• In short, we help our customers know more, know better, and do better.
• At the core of our offering is the TerraScope platform, which fuses disparate data sources and transforms vast quantities of information into actionable intelligence. This next-gen technology supercharges strategic decision-making and operational efficiency at every level of the defense and intelligence communities, as well as in commercial and civil applications.
• The Content Team is charged with creating and maintaining foundational data layers for our products. We are hiring for a GIS Analyst with proven experience in geospatial data creation and quality assurance.
• In this role, you will be responsible for curation of computer vision ground truth datasets and creation and maintenance of our library of highly accurate areas of interest that we run all of our geospatial analytics on. You will be in charge of coordinating with the Program Managers for Data Acquisition and Data Creation on priorities, scope, feasibility, and timelines for data creation activities you are responsible for. You will also liaise with internal customers of this data including computer vision engineers, data scientists, solutions engineers, and product managers.
• This position can be remote, but availability during U.S. business hours (PT or ET preferred) is required.
• Job Responsibilities:
• Create and maintain geospatial datasets, including labeling AOIs and marking ground truth data for computer vision algorithms
• Manage and track external data creation and maintenance tasks with our outsourced workforce
• Oversee internal data quality for the AOI Catalog, following established quality control practices and standards
• Run data production and quality assurance tasks to deliver high-quality data on schedule
• Coordinate with Data Scientists, Computer Vision Engineers, Software Engineers and Product Managers to support data requirements
• Understand and inform our data creation backlog
• Have deep knowledge of GIS tools and standards
• Monitor our data production costs. Escalate, troubleshoot, and improve issues with our data creation workflow as they arise