Senior DevOps Engineer

The Role

As a Senior DevOps Engineer at Striveworks, you will be leading the charge on ensuring the  robustness, reliability, efficiency, and automation of our development and operational  environments as well as the design, engineering, and development operations for our products.  You will be responsible for refining our software development/delivery process. You will have the  opportunity to work with new, cloud-native technologies, and you will have the autonomy to select or engineer solutions to address the unique challenges posed by artificial intelligence data systems at both large and small scale. In addition to standard site reliability engineering tasks—such as building software for monitoring and alerting, DevOps, and infrastructure automation—you will  have the opportunity to contribute to the design and deployment of our MLOps platform. 

The anticipated base pay range for this position is $180,000–$225,000 per year. Striveworks’ total compensation package includes a competitive base salary, annual performance-based equity grants, and a lucrative yearly cash bonus. 

This position offers a fully remote work environment, or you can work hybrid/on site at our office  in northwest Austin, TX. 

The Right Fit

We spend a lot of time during our hiring process talking about shared values.  

Why? We passionately believe that fostering an environment where people can self-actualize  and pursue greatness is the best way to achieve our individual and collective goals. 

What does this mean for you? We want to provide you with the conditions to thrive in an  environment where you can achieve your goals, where you know the team shares your goals,  and where you make and accept decisions for the team with humility. At Striveworks, we want  your say/do ratio to be 1, and we want you to know that being part of a top-tier team means that there is no smartest person in the room. If that makes sense, we’re already on the same page. 

Here’s what else we’re looking for: 

• 3+ years experience with the following: 
  • Deploying and maintaining Kubernetes clusters 
  • Deploying and maintaining Helm charts 
  • Monitoring and alerting solutions such as Prometheus and Grafana 
  • Deploying infrastructure in a cloud such as AWS, Azure, GCP, or OpenStack
  • Containerization and related technologies: Docker, containerd, Podman
  • Cloud-native architecture, high availability, disaster recovery 
  • CI/CD pipeline development and maintenance, e.g., Gitlab CI or build servers such as Jenkins  
  • Infrastructure as Code, such as Terraform, AWS CloudFormation, or Azure Bicep
  • Scripting languages, such as Python and Golang  
  • Utilizing Git for source control management 
• In addition to the above, we’re looking for:
  • 3+ years experience in software engineering 
  • 1+ years managing a team in any information technology field 
  • 7+ years experience in any information technology field  

Wish List 

We’re very interested in DevOps Engineers who possess the above qualifications, and we appreciate and consider the addition of experience in: 

• Configuring GPU-equipped servers 
• Deploying and maintaining OpenStack services 
• Kustomize, kubeadm, Kubespray, kOps, Kind, MicroK8s, minikube, K3s 
• Kubeflow, KServe, Knative
• Golang 
• Deploying or developing K8s Operators

The Benefits

• Top-of-market salary and total compensation
• Generous equity plan
• Health/vision/dental insurance
• Flexible PTO
• Parental leave

Striveworks: Better Models, Faster

The world has looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally or too slowly to be effective in dynamic, fast-paced environments. Striveworks is simplifying MLOps with a powerful and extensible platform that instantiates the data analytic process as code. 

Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector as a primary solution for managing model development, monitoring, and governance—and for ensuring that those models solve the real challenges their organizations face.

Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Chariot uniquely supports data lineage; as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources but