Note: The job is a remote job and is open to candidates in USA. Slingshot Aerospace is on a mission to make space safer and more secure for everyone. The Senior DevOps Engineer will design, build, and maintain scalable infrastructure while managing continuous integration pipelines and ensuring optimal performance of Linux-based systems.

Responsibilities

• Partner with offshore and onshore engineering teams to design, implement, and scale cloud-native infrastructure supporting a new customer portal and ongoing platform refactoring efforts
• Architect, build, and maintain Kubernetes-based environments that power production systems, ensuring scalability, resilience, and security
• Lead Infrastructure as Code initiatives (primarily Terraform) to automate provisioning, configuration, and environment consistency across AWS
• Design, implement, and optimize CI/CD pipelines to improve deployment velocity, reliability, and developer experience
• Integrate and operationalize MLOps practices, enabling efficient deployment, monitoring, and lifecycle management of machine learning workflows
• Embed DevSecOps best practices across the platform, incorporating security controls, compliance requirements, and monitoring into the development lifecycle
• Drive automation initiatives that reduce manual processes and increase system reliability and repeatability
• Collaborate closely with Platform, Engineering, and cross-functional stakeholders to gather requirements, troubleshoot issues, and continuously improve system architecture
• Monitor system performance, identify bottlenecks, and proactively implement improvements to optimize availability and cost efficiency
• Support incident response and root cause analysis efforts, driving long-term fixes and ensuring lessons learned translate into system improvements

Skills

• Active Security Clearance is Required for this role
• Proficiency in Infrastructure as Code (IaC) tools and practices, such as Terraform or CloudFormation
• Experience with Software Development, including scripting and programming to support automation and management of DevOps workflows
• Strong understanding of Continuous Integration and deployment pipelines
• Expertise in System Administration, including network configuration and troubleshooting
• Extensive experience with Linux systems, including performance optimization and security management
• Excellent problem-solving skills and ability to collaborate across teams
• Top Secret Security Clearance
• Familiarity with containerization technologies such as Docker and Kubernetes
• Experience with ML OPs
• Programming experience using Python
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience

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