Dev/ MLOps Engineer I (Full Stack)

Origin AI; Rockville (MD); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Full healthcare package

401(k) + 5% company match

Flexible paid time off policy

Onsite gym

Tuition reimbursement program

Job summary

Origin AI, located in Rockville, MD, is seeking a Dev / MLOps Engineer I to support cloud applications and machine learning systems. This entry-level position involves building CI/CD pipelines, developing containerized services using Docker, and managing cloud infrastructure, primarily on AWS. Candidates should have strong programming skills in Python and familiarity with CI/CD tools and DevOps processes. The role includes a comprehensive benefits package, emphasizing the importance of a diverse and inclusive workplace.

Qualifications

• 0–3 years of experience in software engineering, DevOps, or MLOps.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and interpersonal skills.

Responsibilities

• Build, maintain, and optimize CI/CD pipelines.
• Develop and deploy containerized services using Docker and Kubernetes.
• Support cloud infrastructure across AWS.
• Implement infrastructure-as-code using tools like Terraform.
• Collaborate cross-functionally to deliver production-ready systems.

Skills

Python

Bash

SQL

CI/CD tools

Docker

Kubernetes

AWS

Data pipelines

Machine learning workflows

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

GitHub Actions

Jenkins

SageMaker

Airflow

CloudWatch

Prometheus

Grafana

Job description

Origin is redefining home security with TruShield Security, a hardware-free, router-based solution powered by our exclusive AI Sensing technology. TruShield goes beyond motion detection to deliver Verified Human Presence, accurately distinguishing between people and non-human activity. By leveraging existing WiFi networks and connected devices, it delivers awareness across the home without cameras, wearables, or additional hardware, eliminating false alarms and elevating protection.

Now part of ADT, Origin strengthens ADT’s promise of trusted protection by adding real-time awareness and context inside the home. When every second counts, knowing what is actually happening, not just that something happened, changes everything.

About the Job:

We are looking for a Dev / MLOps Engineer I to build and support the infrastructure that powers our cloud applications and machine learning systems. In this role, you will work across the stack, contributing to frontend and backend services while building the DevOps and MLOps foundations that enable scalable, reliable, and automated product development.

You will partner closely with product, engineering, and research teams to support CI/CD pipelines, cloud infrastructure, and machine learning workflows. This role is ideal for an early-career engineer who is interested in full-stack development and wants to grow into DevOps and MLOps while working on real-world AI systems.

What You’ll Do:

• Build, maintain, and optimize CI/CD pipelines to support application and ML workflows
• Develop and deploy containerized services using Docker and Kubernetes
• Support cloud infrastructure across AWS (preferred), with exposure to Azure or GCP
• Implement infrastructure-as-code using tools such as Terraform or CloudFormation
• Contribute to the development of frontend interfaces and backend services for internal tools
• Build and maintain data and ML pipelines, including data ingestion, validation, training, and deployment
• Support model lifecycle management, including versioning, tracking, and performance monitoring
• Implement monitoring, logging, and alerting to ensure system reliability and observability
• Conduct load and stress testing to evaluate performance and scalability of systems
• Debug issues across the stack, including applications, infrastructure, and ML pipelines
• Collaborate with research teams to support model development and productionization workflows
• Drive automation to reduce manual processes across DevOps and ML systems
• Build and support infrastructure that powers AI systems deployed at scale
• Gain hands‑on experience across full-stack development, DevOps, and MLOps environments
• Collaborate cross-functionally with product, research, and engineering teams to deliver production-ready systems

About You:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (Master’s preferred)
• 0–3 years of experience in software engineering, DevOps, or MLOps
• Strong programming skills in Python, with experience in scripting (Bash) and SQL
• Familiarity with CI/CD tools such as GitHub Actions, Jenkins, or similar
• Experience working with Docker and containerized environments (Kubernetes is a plus)
• Exposure to cloud platforms, especially AWS (EC2, S3, Lambda, etc.)
• Understanding of data pipelines and machine learning workflows
• Strong problem‑solving skills and ability to work in a fast-paced, collaborative environment
• Excellent communication and interpersonal skills

Nice to Have:

• Experience with SageMaker or similar ML platforms
• Familiarity with workflow orchestration tools (Airflow, Kubeflow)
• Exposure to monitoring tools (CloudWatch, Prometheus, Grafana)
• Experience with NoSQL databases or time‑series data systems
• Experience with IoT, sensor data, or distributed systems

What We Can Offer You

• Full healthcare package including medical, dental, and vision insurance, short-term and long-term disability insurance, life, and AD&D insurance
• 401(k) + 5% company match
• Flexible paid time off policy, paid parental leave
• Onsite gym
• Tuition reimbursement program & Continued Learning Program

Additional Info:

Origin is committed to building and fostering an inclusive, diverse workplace. We believe in incorporating everyone’s perspectives and experiences as this has been a significant driver in our success so far.

For this reason, we strongly encourage candidates of all backgrounds to get in touch. Even if you don’t meet all the requirements of a job listing, do yourself (and us) a favor by still applying! It’s highly likely you’ll bring something to the workplace that we haven’t thought of yet, and we would love to hear from you.

Origin is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.