# Software Engineer - DevOps and MLOps

**Company:** [Maven Robotics](https://hotfix.jobs/companies/maven-robotics)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Skills:** Kubernetes, Docker, Terraform, Ansible, CI/CD, GitHub Actions, Jenkins, Python, Go, AWS, Azure, GCP, Bazel, MLflow, Kubeflow
**Posted:** 2026-02-02

> Builds and maintains infrastructure for software development, ML models, and AI operations including CI/CD pipelines, cloud platforms, and automation tools. Requires BS/MS in CS, experience with containerization, IaC, and programming in Python/Go/Java.

## Job Description

## Responsibilities
- Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment.
- Monitor and optimize system performance, availability, and security.
- Automate infrastructure orchestration and configuration management using tools such as **Kubernetes**, **Ansible**, and similar.
- Configure and maintain data infrastructure appliances.
- Troubleshoot and resolve issues related to applications, infrastructure, and deployments.
- Work closely with our development and AI teams to deliver solutions that increase efficiency and stability.

## Must-have Qualifications
- BS or MS in software engineering, computer science, or a related field.
- Proven experience standing up a CI/CD system from scratch.
- Experience with multi-language build systems (e.g., **Bazel**, **Bob**).
- Proficiency with cloud platforms (e.g., **AWS**, **Azure**, **GCP**) and containerization technologies (e.g., **Docker**, **Kubernetes**).
- Experience with automation tools (e.g., **Terraform**, **Ansible**, **GitHub Actions**, **Jenkins**) and version control systems (e.g., **Git**).
- Strong programming skills in languages such as **Python**, **Go**, or **Java**.
- Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
- Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

## Nice-to-have
- Experience with MLOps platforms (e.g., **MLflow**, **Kubeflow**, or **SageMaker**).
- Knowledge of big data technologies (e.g., **Hadoop**, **Spark**, or **Kafka**).
- Experience with monitoring and observability tools (e.g., **Prometheus**, **Grafana**, **ELK stack**).
- Understanding of machine learning frameworks (e.g., **TensorFlow**, **PyTorch**, or **Scikit-Learn**).
- Experience with edge computing and IoT device management.
- Knowledge of security best practices and compliance standards in AI/ML environments.
- Proficiency in database management systems (e.g., **PostgreSQL**, **MongoDB**, or **Cassandra**).
- Experience with infrastructure-as-code tools (e.g., **CloudFormation**, **Pulumi**).
- Knowledge of GitOps practices and tools (e.g., **ArgoCD**, **Flux**).

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**Canonical:** https://hotfix.jobs/jobs/ef46aa47-6e3a-4bec-bf36-b0ceb08df5ab