Senior DevOps Engineer

WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. We’re passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.

About the Role

We are seeking an experienced, all-around DevOps engineer with a strong software programming background. The ideal candidate will bridge the gap between development and operations, implementing and managing our DevOps practices while leveraging their programming expertise to automate and optimize our systems.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using modern DevOps tools and practices
• Develop and maintain infrastructure as code using tools like Terraform or CloudFormation
• Create and optimize automation scripts and tools using Python
• Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Monitor system performance and implement improvements for scalability and reliability
• Collaborate with development teams to improve code quality, testing, and deployment processes
• Implement security best practices across our infrastructure and applications
• Troubleshoot and resolve issues in development, testing, and production environments
• Mentor junior team members and promote DevOps best practices across the organization

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 6+ years of experience in DevOps or Site Reliability Engineering roles
• Strong programming skills with a focus on Python
• Extensive experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency in version control systems, particularly Git
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI)
• Knowledge of infrastructure as code and configuration management tools (e.g., Terraform, Ansible)
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes)
• Understanding of networking concepts and protocols
• Experience with monitoring and logging solutions (e.g., Prometheus, ELK stack)

Preferred Qualifications

• Experience with microservices architecture
• Knowledge of additional programming languages (e.g., Go, Java, JavaScript)
• Familiarity with database management and optimization
• Experience with serverless technologies
• Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator)
• Contributions to open-source projects

Concerned that you don’t meet every qualification above?
Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.
WEKA is an equal-opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.