Infrastructure Engineer (Data)

Key Skills

Analytical and Problem solving, AWS, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Data Visualization, Docker, Effective communication skills, Infrastructure as code, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, Terraform, User support and Troubleshooting

Job Description

We are seeking a highly skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads. This is a challenging and exciting opportunity for a highly motivated and skilled Modern Platform Engineer to join our team and work on cutting-edge technologies as we build self-serving data platforms. The ideal candidate will have a solid foundation in cloud infrastructure, containerization, and automation, as well as experience in designing, deploying, and maintaining complex systems. Additionally, proficiency in data engineering, machine learning, and data pipelines will be essential for success in this role. If you are passionate about cloud computing, Kubernetes, and ML Ops or other data engineering workloads, we encourage you to apply.

What you’ll do

• Assist in designing, deploying, and maintaining cloud infrastructure on AWS
• Contribute to the management and optimization of Kubernetes clusters for running workloads
• Participate in the development and maintenance of CI/CD pipelines for deploying applications
• Contribute to the development and maintenance of data pipelines for ML Ops or other data engineering workloads
• Collaborate with senior engineers, data scientists, and engineers to support the design and deployment of ML models
• Assist in monitoring and troubleshooting system performance and availability
• Contribute to the automation of infrastructure and application deployments
• Stay informed about emerging technologies and industry trends

Who you are

• Bachelor's degree in Computer Science or related field
• 2+ years of experience in cloud computing on AWS
• 1+ years of experience in Kubernetes and container orchestration
• Exposure to ML Ops or other data engineering workloads
• Experience building or maintaining data or ML deployment pipelines in a cloud environment
• Proficiency in object oriented design principles (Python and Go preferred)
• Basic experience in automation and infrastructure as code
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Strong understanding of complex distributed systems
• Experience with monitoring and alerting systems

Preferred Qualifications

• Master's degree in Computer Science or related field
• AWS/Kubernetes certification (preferred but not required)
• Experience using Terraform, Docker or other containerization technologies, Helm, data visualization and dashboarding tools, or other infrastructure as code tools

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges from $110,000 - $175,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living
• This position will be eligible for a competitive year end performance bonus & equity package
• Full medical, dental, vision package to fit your needs
• Flexible vacation policy; work hard and take time when you need it
• Pet discount plans & retirement plan with company match (401K)
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world