ZipRecruiter
Overview
Turion Space is building spacecraft for security and in-space operations — and the ground systems to support them. From debris removal to space domain awareness to building a more secure space economy, we are a team focused on getting real hardware and software to orbit, operate, and scale fast. We are seeking a highly skilled
Senior
MLOps Engineer
to join our visionary AI/ML team. Your primary mission will be to architect, build, and integrate the complex automated systems that form the backbone of our machine learning operations. This role is ideal for a DevOps professional who is passionate about building robust, scalable infrastructure and is eager to apply their expertise to the unique challenges of the machine learning lifecycle. You will be instrumental in creating a seamless, automated bridge between ML model development and production deployment, enabling the rapid and reliable delivery of AI capabilities. Responsibilities
Design, implement, and manage robust CI/CD pipelines to automate the testing, integration, and deployment of machine learning models, application code, and infrastructure Collaborate closely with data scientists and ML researchers to understand their workflows and build the operational tooling required to move prototypes into production efficiently. Integrate disparate systems across the ML lifecycle—from data ingestion and validation to model training, serving, and monitoring—into a cohesive, automated platform. Establish and integrate comprehensive monitoring, logging, and alerting systems to ensure full-stack observability of model performance, data pipelines, and infrastructure health. Develop and optimize deployment strategies (e.g., blue/green, canary) for containerized applications and services, including machine learning models served via tools like KServe or custom APIs. Apply rigorous DevOps practices for versioning and governance to all assets, including code, models, and datasets, to ensure reproducibility and auditability. Ensure compliance and security requirements are met in secure, air-gapped, or regulated environments, implementing practices like container security scanning and hardening. Qualifications
Bachelor\'s degree with equivalent practical experience Proven professional experience in MLOps, Site Reliability Engineer (SRE), or DevOps roles with a strong focus on operationalizing ML models Expertise in containerization and orchestration technologies Demonstrated experience building and managing CI/CD pipelines (e.g., GitLab CI, Jenkins, etc.). Strong proficiency in scripting and programming, particularly in Python. Hands-on experience with at least one major cloud provider (AWS or Azure). Understanding of concepts like model/data versioning and data lineage tracking. A deep understanding of system design, networking, and security principles in a cloud environment. Excellent communication, creative problem-solving, and team collaboration skills Salary
Software Engineer, MLOps: $160,000 - $190,000 USD ITAR Requirements
This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. or , (ii) U.S. lawful, permanent (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Benefits
Equity:
Receive equity in Turion Space, letting you benefit from the company\'s success Health Insurance:
Comprehensive medical, dental, and vision coverage for employees and their dependents. Retirement Plans:
Access to a 401(k) plan to help you plan for your future. Paid Time Off:
Generous vacation days, personal days, sick days, and holidays to ensure you have time to recharge. Professional Development:
Opportunities for ongoing training, workshops, and courses to advance your skills and career growth. Team Building Activities:
Regular social events, team outings, and company-sponsored activities to foster a positive work environment. We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual. Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, sex, national origin, veteran status, status, marital status, mental or physical or any other legally protected status. Compensation Range: $160K - $190K
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Turion Space is building spacecraft for security and in-space operations — and the ground systems to support them. From debris removal to space domain awareness to building a more secure space economy, we are a team focused on getting real hardware and software to orbit, operate, and scale fast. We are seeking a highly skilled
Senior
MLOps Engineer
to join our visionary AI/ML team. Your primary mission will be to architect, build, and integrate the complex automated systems that form the backbone of our machine learning operations. This role is ideal for a DevOps professional who is passionate about building robust, scalable infrastructure and is eager to apply their expertise to the unique challenges of the machine learning lifecycle. You will be instrumental in creating a seamless, automated bridge between ML model development and production deployment, enabling the rapid and reliable delivery of AI capabilities. Responsibilities
Design, implement, and manage robust CI/CD pipelines to automate the testing, integration, and deployment of machine learning models, application code, and infrastructure Collaborate closely with data scientists and ML researchers to understand their workflows and build the operational tooling required to move prototypes into production efficiently. Integrate disparate systems across the ML lifecycle—from data ingestion and validation to model training, serving, and monitoring—into a cohesive, automated platform. Establish and integrate comprehensive monitoring, logging, and alerting systems to ensure full-stack observability of model performance, data pipelines, and infrastructure health. Develop and optimize deployment strategies (e.g., blue/green, canary) for containerized applications and services, including machine learning models served via tools like KServe or custom APIs. Apply rigorous DevOps practices for versioning and governance to all assets, including code, models, and datasets, to ensure reproducibility and auditability. Ensure compliance and security requirements are met in secure, air-gapped, or regulated environments, implementing practices like container security scanning and hardening. Qualifications
Bachelor\'s degree with equivalent practical experience Proven professional experience in MLOps, Site Reliability Engineer (SRE), or DevOps roles with a strong focus on operationalizing ML models Expertise in containerization and orchestration technologies Demonstrated experience building and managing CI/CD pipelines (e.g., GitLab CI, Jenkins, etc.). Strong proficiency in scripting and programming, particularly in Python. Hands-on experience with at least one major cloud provider (AWS or Azure). Understanding of concepts like model/data versioning and data lineage tracking. A deep understanding of system design, networking, and security principles in a cloud environment. Excellent communication, creative problem-solving, and team collaboration skills Salary
Software Engineer, MLOps: $160,000 - $190,000 USD ITAR Requirements
This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. or , (ii) U.S. lawful, permanent (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Benefits
Equity:
Receive equity in Turion Space, letting you benefit from the company\'s success Health Insurance:
Comprehensive medical, dental, and vision coverage for employees and their dependents. Retirement Plans:
Access to a 401(k) plan to help you plan for your future. Paid Time Off:
Generous vacation days, personal days, sick days, and holidays to ensure you have time to recharge. Professional Development:
Opportunities for ongoing training, workshops, and courses to advance your skills and career growth. Team Building Activities:
Regular social events, team outings, and company-sponsored activities to foster a positive work environment. We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual. Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, sex, national origin, veteran status, status, marital status, mental or physical or any other legally protected status. Compensation Range: $160K - $190K
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