Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.
Company Overview
Maven Robotics is building the world’s leading general-purpose AI robots.
We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role DescriptionWe are looking to recruit an exceptional Software Engineer - Software Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.
In this role you will:
- 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:
- 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).
Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.
Top Skills:
AIData CatalogsData Governance ToolsData LineageMetadata ManagementSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell SaaS licenses and generate new business through account and territory planning, prospect research, and field sales. Build C-suite relationships, lead cross-functional account strategies, advise on IT roadmaps and AI integration, identify specialists to win deals, negotiate contracts, and meet sales targets. Role requires travel and collaboration with solutions, success, partners, and marketing teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.
Top Skills:
SQL
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
